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Chapter 16

Invasive Pests—Insects and Diseases

Donald A. Duerr and Paul A. Mistretta[1]

Key Findings

  • Nonnative pest species have increasing impacts in the South regardless of climate change, patterns of land ownership, or changes in the composition of vegetation.
  • “New” nonnative invasive insects and diseases will have serious impacts on southern forests over the next 50 years. Some species such as emerald ash borer, laurel wilt, and thousand cankers disease are expanding rapidly; they threaten the ecological viability of their hosts throughout large areas of the South.
  • Given the trend in introductions of nonnative insect pests and plant pathogens over the last 100 years, we can expect additional introductions of previously undocumented pests (insects, fungal pathogens, plant parasitic nematodes, etc.) from foreign countries that will have serious consequences for some native forest plant species.
  • When host material for a given insect or disease is projected to increase over the next 50 years as a result of climate change or management choice, we can expect more pest activity; for example, more pine acreage enables more southern pine beetle damage. Conversely, if host material decreases, the overall impact of pests utilizing that host material will likely decrease.
  • Very few indisputable projections can be made about the effects of climate change on native or naturalized pests. Although climate-change-induced host abundance is expected to increase the activity of some pests, others (such as gypsy moth) may become less active with warmer temperatures despite relatively similar levels of host availability.
  • The scientific literature and the body of expert opinion are inconclusive in predicting the effects of climate change on many pests’ activity levels, often even lacking historic trend data. However, based on anecdotal reports from professionals, and in the absence of other data, we generally assume that pest activity levels over the next 50 years will be similar to the past 50 years with respect to impact on preferred hosts.
  • A significant source of uncertainty in projecting pest impacts is the adequacy of prevention and suppression methods: how effective are existing methods, compared with those that might be available in the future; how willing and able are land managers or landowners to adopt management/control methods; how much funding is available compared to the amount needed for implementation.
  • Under the influence of climate warming host plants, pests and pest complexes are expected to migrate northward and to higher elevations. Because migration rates differ among the affected species, migrating plants are expected to form new associations, which will then affect the pests, their host populations, and the interactions among them. Unexpected pests very likely will become important, while some that are currently active will be less severe in their new habitats. As host plants “migrate” to the north an increase in the incidence of decline syndrome of plants in their previous range is expected.
  • Although not expected to be a significant problem in the next 50 years, the migration of lower elevation plants to higher elevations could ultimately eliminate or at least severely restrict the host ranges of current high elevation plant associations. Pests that act on a restricted host base, such as the balsam woolly adelgid and butternut canker, could become far more significant ecologically in areas of relict host populations.
  • Climate change will lead to extra uncertainty in decision making, especially in areas where the changes cause increased variability in local (fragmented) climate regimes that exceed historical variability of local weather patterns.

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Introduction

An important part of the southern forested landscape is the array of insect and disease pests that significantly affect the management of forest resources on a relatively broad scale. The list of 21 key pests that were documented less than a decade ago (Ward and Mistretta 2002) has already expanded to 30.

The goal of this chapter is to project the behavior of insect and disease pests that we anticipate will affect forest resources over the next 50 years, based on changing climate, human activity, and biologic factors. Our primary focus is on climate change and its sub-elements of temperature régime (dominated by temperature extremes), overall pattern of solar radiation, and rainfall pattern. All available climate change scenarios predict an environment in which we expect vegetation changes to occur (Iverson and others 1999). Concurrent with ecological changes will be a shift in the pests that function within an altered vegetative landscape under changed temperature, rainfall, and other climatic conditions. The impacts on pest activity, in turn, may influence the direction or scope of other changes in forest type and structure.

The focus of this chapter is the 30 species of pest insects or fungal pathogens that cause diseases projected to be of future concern, with emphasis on the following key issues:

  • The historical and forecasted future spread of high threat insects and diseases
  • Other pests invading southern forests and other high threat species poised to enter the region
  • Expected consequences of the spread of high-threat pest species for forest productivity, ecosystem composition and biodiversity, threatened and endangered species and their habitats, watershed and soil health, carbon storage, and fire dynamics
  • Potential severity of pest species threats relative to other threats and to future forest sustainability
  • Forest species or populations that are likely to be lost or dramatically degraded by pests; the resulting changes in the composition of southern forests over the next 50 years; and the degree of certainty in these outcomes
  • Adaptive strategies and methods for invasive pest management that could mitigate the effects of predicted future outbreaks

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Methods

In response to the issues developed above, we present a brief extract of relevant information about the pests that are well established in southern forests (Ward and Mistretta 2002); we add more detailed descriptions of several new pests or pest complexes that have emerged in the past few years; we apply the results of past research on pests and pest management to expected changes in southern forests over the next 50 years; we identify management strategies for responding to pests in a changing environment; and we identify research needed to improve our knowledge about pests with their hosts and their interactions with their changing environment, thereby enabling a more quantitative approach to forecasting in the future.

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Data Sources

Information for this chapter is derived from two primary sources, selected items from the extensive body of published scientific literature, and the experience of the authors and their colleagues in State and Federal agencies, universities, and other public or private organizations that are engaged either in research or field-based pest management activities. Additional information about forest pests and their control is readily available from State and Federal forestry agencies or on the Internet (two good starting points are http://fhpr8.srs.fs.fed.us/and http://www.na.fs.fed.us/spfo/pubs/fth_pub_pages/fidl.htm). Also, appendix C contains additional resources (References) not cited here but which provide valuable additional background for understanding the biology and ecology of the pests discussed.

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Results

The scientific literature on climate change and other environmental considerations is summarized in appendix C, which also provides the background information on our approach to pest modeling and future projection of impacts. Below we address the pests projected to influence the forests of the South over the next 50 years, their potential damage, potentially effective management strategies, and research needed to better understand and manage them (table 16.1).

Of the 30 forest pests in the South discussed below, 21 are well established and 9 are relative newcomers. Pests are roughly evenly divided between those affecting softwoods and those affecting hardwoods.

Table 16.1—Important insect and disease pests of southern forests

Pest

Pest’s scientific name

Type of pests / abiotic factors

Origin

Forest type or species affected

Annosum root disease

Heterobasidion annosum

Fungus

Native

Pines in the loblolly-shortleaf and longleaf–slash forest types

Asian longhorned beetle

Anoplophora glabripennis

Insect

China

Most hardwoods, but especially maples.

Baldcypress leafroller

Archips goyerana

Insect

Native

Baldcypress in oak-gum-cypress forest type

Balsam woolly adelgid

Adelges piceae

Insect

Europe

Fraser fir in the spruce-fir forest type

Bark beetles (other than southern pine beetle)

Ips avulsus, I. calligraphus, I. grandicolli, & Dendructonus terebrans

Insect

Native

Pine in the loblolly-shortleaf and longleaf–slash forest types

Beech bark disease

Nectria coccinea var. faginata, N. galligena (fungi); 2 (at least) insect vectors

Complex of insects and fungi

Unknown

American beech in the oak-hickory forest type

Brown spot needle disease

Scirrhia acicola

Fungus

Native

Longleaf pine in the longleaf–slash forest type

Butternut canker

Sirococcus clavigignenti-juglandacearam

Fungus

Unknown

Butternut in the oak-hickory forest type

Chestnut blight

Cryphonectria parasitica

Fungus

Asia

American chestnut, chinquapins, several species of oak in the oak-hickory forest type

Dogwood anthracnose

Discula destructiva

Fungus

Unknown

Dogwood in the oak-hickory forest type

Dutch elm disease

Ophiostoma ulmi (formerly called Ceratocystis ulmi) & Ophiostoma novo-ulmi (fungi); two bark beetles

Complex of fungi and insects

Europe

All elm species

Emerald ash borer

Agrilus planipennis

Insect

Asia

All ash species

Forest tent caterpillar

Malacosoma disstria

Insect

Native

Hardwoods in the oak-gum-cypress forest type

Fusiform rust

Cronartium fusiforme f. sp. fusiforme

Fungus

Native

Loblolly and slash pines in the loblolly-shortleaf and longleaf slash types

Gypsy moth

Lymantria dispar

Insect

Europe and Asia

Hardwoods (all types)

Hardwood borers

Various

Insect

Native

All species of hardwoods

Hemlock woolly adelgid

Adelges tsugae

Insect

Asia

Hemlocks

Laurel wilt

Raffiella lauricola (fungus), Xyleborus glabratus (insect)

Complex of an insect and fungus

Asia

Lauraceae, especially Redbay

Littleleaf disease

Phytophthora cinnamomi, Pythium sp.

Tree decline complex; fungi and site factors

Southeast Asia (likely)

Shortleaf and loblolly pines in the loblolly-shortleaf forest type

Loblolly pine decline

As a minimum: various fungi (Lophodermium spp.) and insects (Hylastes spp.)

Tree decline complex; insect and fungi

Unknown

Pines

Nantucket pine tip moth

Rhyacionia frustrana

Insect

Native

Pines

Oak decline

Armillaria sp., and other secondary fungi

Tree decline complex; site conditions and fungi

Mixed

Oaks

Oak wilt

Ceratocystis fagacearum

Fungus

Native

Oaks in the oak-hickory forest type

Pine reproduction weevils

Hylobius pales, Pachylobius picivorus

Insect

Native

Pines

Sirex woodwasp

Sirex noctilio (insect), Amylostereum areolatum (fungus)

Complex of an insect and fungus

Europe, Asia, northern Africa

Pines

Soapberry borer

Agrilus prionurus

Insect

Mexico

Western soapberry

Southern pine beetle

Dendroctonus frontalis

Insect

Native

Pines

Sudden oak death

Phytophthora ramorum

Fungus

Unknown

Oaks

Texas leafcutting ant

Atta texana

Insect

Central and South America

Pine (reproduction)

Thousand cankers disease

Geosmithia sp. (fungus), Pityophthorus juglandis (insect)

Complex of an insect and fungus

Unknown

Black walnut

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Insect Pests of Softwoods

Balsam woolly adelgid—Impacts of balsam woolly adelgid, Adelges piceae, were first documented in 1957 on Fraser fir in the Southern Appalachians. The five major areas of high-elevation, spruce-fir forest in North Carolina, Tennessee, and Virginia are highly valued for their scenic and recreation values, attracting several million visitors annually (Ward and Mistretta 2002). In addition, several species of flora and fauna rely on mature spruce-fir habitat for survival, and many are found only in this environment. The balsam woolly adelgid has infested Fraser fir in all five areas. Damage caused by the adelgid has degraded scenery and recreation value and put this habitat of dependant tree species at great risk.

The spruce-fir forests of the Southern Appalachians are declining (Dull and others 1988, Hollingsworth and Hain 1991, Nicholas and Zedaker 1990). Balsam woolly adelgid has eliminated 95 percent of mature Fraser firs, and mortality continues at a steady rate. The residual population consists of trees generally younger than 40 years. Several laws enacted to maintain limited or threatened ecosystems and preserve spruce-fir forests direct the management of Fraser fir and provide decisionmaking guidance for resource managers. Insecticides are effective for control of this adelgid in Christmas tree plantations, but they are not feasible in forested settings.

Increased temperature and decreased precipitation will likely have the effect of both shrinking the range of spruce-fir forests now isolated on mountaintops and increasing adelgid activity and damage. If these trends continue unabated, natural populations of southern Fraser fir could disappear over the next 50 years. In addition, northern firs in the Lake States, New England, and Canada may become more susceptible to infestation as a result of milder winters and greater survival of the insect.

Hemlock woolly adelgid—Hemlock woolly adelgid, Adelges tsugae, an Asian native, was first identified in the early 1950s in Richmond, VA. Over the past 20 years, it has expanded rapidly into the southern range of eastern hemlock (Tsuga canadensis) (fig. 16.1). Hemlocks generally die within five years of initial infestation by this adelgid (McClure 1987), however some trees may live longer before succumbing.

Eastern hemlock is an important component of riparian ecosystems, providing streams with cooling shade and nutrient-rich litterfall, and wildlife with winter shelter. This tree may also be important as a feeding and nesting niche for neotropical migrant birds (Rhea and Watson 1994). The ecology of Carolina hemlock, T. caroliniana, is less understood. Although it generally occupies drier sites on ridges and rock outcrops, it is as likely as the eastern hemlock to serve as cover and nesting habitat for birds and small mammals.

Given the adelgid’s current rate of spread, it could infest nearly the entire southern range of eastern hemlock and Carolina hemlock within the next 50 years. Some isolated areas within the infested range and some areas of hemlocks that are separated from the main range (in northwestern Alabama, for example) may escape infestation. In all likelihood, within the next 50 years hemlock woolly adelgid will kill most of the hemlocks that are alive today in the South. The loss of hemlock will be one of the major impacts caused by nonnative invasive species to Southern forests in the next 50 years.

A number of suppression tactics show some promise for preventing the loss of significant numbers of hemlocks over the next 50 years. Treatment of trees with imidacloprid effectively controls hemlock woolly adelgids for several years (Cowles and others 2006). Distribution of the insecticide into tree crowns is more effective with soil drench or injection than with stem injection (Dilling and others 2010). Dinotefuran is also being used with success. Current insecticide treatments are applied to individual trees and function primarily as a temporary protection measure for a relatively small number of trees. At this time, insecticide application over large areas is neither logistically feasible nor cost-effective. Several biological control agents (beetle predators) have been and are being released, and some are successfully establishing (Mausel and others 2010). More time is likely needed before conclusive impacts of biological control agents on the health of hemlock forests can be shown. Establishment of a complex of natural enemies in a given area is desired to achieve long-term success. In June 2009, researchers and forest health professionals began evaluating the efficacy of Lecanicillium muscarium, an insect-killing fungus that is registered as a bio-pesticide in Europe (Grassano 2008).

Research and work is being done on hemlock host resistance and ex-situ conservation of hemlock seedlings and genetic diversity (Bentz and others 2002, Jetton and others 2008, Jetton and others 2010, Montgomery and others 2009, Pooler and others 2002). These efforts may allow scientists and land managers to reintroduce adelgid-resistant hemlocks in the future.

Climate change is unlikely to reverse the spread of hemlock woolly adelgids. In the northern part of the hemlock woolly adelgid range, low minimum winter temperatures can significantly knock back populations and appear to limit spread. Therefore, we can assume that climate warming would likely promote a northward expansion of the adelgid (Paradis and others 2008). The southern range of hemlock is currently not benefitting from much cold winter knockback—a warming climate would presumably only exacerbate the situation.

Figure 16.2—Emerald ash borer locations in the United States and Canada as reported February 2011 (adapted from USDA Animal and Plant Health Inspection Service 2011). Figure 16.1 (Legend)
Figure 16.2—Emerald ash borer locations in the United States and Canada as reported February 2011 (adapted from USDA Animal and Plant Health Inspection Service 2011). Note: This map is undergoing rapid change due to the ongoing expansion of the range of this disease. The most current map can be found at: http://www.aphis.usda.gov/plant_health/plant_pest_info/emerald_ash_b/downloads/multistateeab.pdf

Nantucket pine tip moth—The Nantucket pine tip moth, Rhyacionia frustrana, is one of the most common forest insects in the South (Berisford 1988). Although it is usually considered a southern pest, its range includes most of the eastern half of the United States.

Most commercial pine species are susceptible to attack by the Nantucket pine tip moth, but there are considerable differences in relative susceptibility. Among the southern pines, longleaf nursery seedlings and all ages of shortleaf, loblolly, and Virginia pines are highly susceptible, while slash and older longleaf pines are highly resistant.

Damage is normally transitory or negligible in forest stands but can be severe for seedlings and saplings younger than 5 years, resulting in deformities and loss of growth.

Based on the warmer and possibly drier climate that is expected over the next 50 years, the activity and damage levels of Nantucket pine tip moth are likely to increase in the South and extend to northern areas (Midwest, New England) where tip moth has not been much of a management concern. Activity may increase and continue into the winter months, as could the number of generations per year. Nantucket pine tip moths are primarily a problem in young loblolly monocultures. To the extent that land managers increase the planting of loblolly monocultures in the next 50 years, damage from the Nantucket pine tip moth is likely to increase.

A number of effective, chemical control options exist for this pest (Asaro and others 2003). If population levels are monitored in a timely and regular fashion, and are followed up by appropriate insecticide applications, tip moth damage can be minimized. Chemical control options are effective, especially the new systemic insecticides. However, they are often prohibitively expensive and will probably not be adopted under most commonly accepted climate scenarios unless tip moth population pressure becomes quite high.

Other bark beetles—Although the southern pine beetle is the most damaging insect in southern pine forests, it is only one of five pine bark-beetle species of concern for forest managers in the South. The others are the six-spined engraver, Ips calligraphus, the southern pine engraver, Ips grandicollis, the small southern pine engraver, Ips avulsus, and the black turpentine beetle, Dendructonus terebrans. These beetles are usually considered secondary pests because they normally infest only stressed, weakened, damaged, or downed pines. They also colonize pines that have been attacked by southern pine beetles or another bark beetle species. Host species in the South include loblolly, shortleaf, Virginia, longleaf, eastern white, pitch, slash (P. elliotii), and sand (P. clausa) pines. Both pure pine and oak-pine stands may be affected (Conner and Wilkinson 1983, Smith and Lee 1972, USDA Forest Service 1985a).

Attacks by black turpentine beetles may continue for several months but infestation is not always fatal. Multiple attacks around the entire circumference of the tree are required to cause mortality (Smith and Lee 1972, Staeben and others 2010, USDA Forest Service 1985a).

The small southern pine engraver and the six-spined engraver are the most aggressive and may kill small groups of trees. Losses may be extensive during periods of drought (Conner and Wilkinson 1983, USDA Forest Service 1985a).

The secondary bark beetles play a vital role in shaping forest structure and may have a greater impact on regulating pine stands than southern pine beetles (Paine and others 1981, Thatcher 1960a). They attack weakened or severely stressed trees and those reaching senescence. Large infestations develop only occasionally, usually after widespread environmental stress, such as that caused by drought, storm damage, or wildfire. Their action serves to thin the pine forests, reducing competition, leaving the stronger trees, and decreasing the risk of southern pine beetle (SPB) outbreaks.

The impact of these beetles depends largely on management activities (Coulson and others 1986). Engravers also breed in downed material, so it is difficult to substantially reduce populations, but prevention methods (such as lowering planting densities, thinning stands, and cutting and removing groups of infested trees) can reduce damage.

In unmanaged stands, they attack single trees or small groups of pines and reduce pine basal area. They provide openings for pine reproduction or for established hardwoods to grow. The effects are often not noticeable except during periods of extended drought, after storm damage, or at the end of SPB epidemics.

Increased temperature and decreased precipitation would stress pines and could therefore increase the impacts of these bark beetles, but it is unlikely that they will become primary pests that kill large areas of trees. These four bark beetle species may move northward as winters become warmer.

Pine reproduction weevils—Pales weevil (Hylobius pales) and pitch-eating weevil (Pachylobius picivorus) are two of the most damaging insect pests of pine seedlings in the Southeastern United States. In southern forests, they are found wherever pine occurs. Adult weevils of both species are attracted to newly harvested sites, where they breed in logging slash, stumps, and old root systems; they cause economic losses by feeding on the bark and often killing planted seedlings. If seedlings are planted on or adjacent to sites with fresh stumps or damaged trees, it is common to have 30 to 60 percent weevil-caused mortality among first-year seedlings, with instances of 90 percent or more mortality recorded (Thatcher 1960b). A third species, the eastern pine weevil (Pissodes nemorensis), is generally less common but is known to kill terminal and lateral branches and girdle the stems of small trees (Doggett and others 1977, Nord and others 1984). The reproduction weevils are almost never a problem in forest management unless seedlings have been planted on or adjacent to sites with fresh stumps or damaged trees. Foresters usually avoid this problem on cutover sites by delaying planting or by planting treated seedlings.

Pales and pitch-eating weevils prefer loblolly, shortleaf, pitch, and eastern white pines. They almost never attack longleaf and slash pines, but on rare occasions have been observed feeding on hardwoods. Although the eastern pine weevil prefers cedar, it also attacks most southern yellow pines, such as loblolly, slash, and shortleaf. Pales and eastern pine weevils may serve as vectors for various pathogenic fungi.

The future outlook for the activity and damage levels of reproduction weevils is similar to the recent past. A warmer climate may allow these insects to extend their ranges north into Canada. Warmer southern winter months may allow them to increase and/or prolong activity and to produce more generations per year. Decreased precipitation may reduce their activity. The impacts of these pests are more dependent on stand management (and whether seedlings were treated with insecticides) than on climatic conditions. If pines are planted and then left unmanaged over the next 50 years, we can expect increased damage from pine reproduction weevils.

Sirex woodwasp—Sirex woodwasp, Sirex noctilio, is native to Europe, Asia and northern Africa and has been introduced to North America, South America, New Zealand, Australia, and South Africa. In Australia, South Africa, and South America, it is considered an important pest, causing significant mortality (Oliveira and others 1998) in stands planted with North American pines, especially Monterey pine (P. radiata) and loblolly pine. Haugen and Hoebeke (2005) report that other known susceptible pines include slash, shortleaf, ponderosa (P. ponderosa), lodgepole (P. contorta), and jack (P. banksiana).

Females can produce up to 450 eggs and deposit them (mostly singly) below the surface of the bark close to the cambium. The female also deposits mucus and a basidiomycete symbiotic fungus, Amylostereum areolatum, which grows rapidly and excretes wood-digesting enzymes. When the larvae hatch they bore into the wood, but feed on wood already colonized by the fungus. The fungus and mucus act together to kill the tree and create an environment suitable for the development of the larvae.

Sirex woodwasp has not caused widespread mortality in the North American areas where it is established, nor have any populations been reported in the South. However within the next 50 years, it is very likely that natural or human-aided spread will introduce this pest to southern forests. Many of the South’s most important pine species are susceptible to Sirex and many trees will succumb if attacks are as aggressive as they are in South America and Australia. Although this scenario could result in catastrophic ecological and economic losses, the complexity of southern forests (mixed stands, high biodiversity, many possible competitors, predators and parasitoids) contrasts with the monoculture pine plantations in other countries where the pest has been most damaging. Many studies are underway to assess the potential level of danger to southern forests. A national risk map for Sirex has been developed (see http://www.fs.fed.us/foresthealth/technology/invasives_sirexnoctilio_riskmaps.shtml) and risk maps specific to the South are in development.

If the Sirex woodwasp becomes established in the South and acts as a primary “tree killer,” effective prevention and suppression techniques are available, including the current practice of thinning stands to increase growth and vigor and reduce susceptibility to bark beetles. In other countries, Sirex woodwasp has been successfully managed using biological control agents. The key agent is a parasitic nematode, Deladenus siricidicola, which infests Sirex woodwasp larvae, and ultimately sterilizes the adult females. Infested adult females lay infertile eggs that are filled with nematodes, which further spreads the nematode population. The nematodes can effectively regulate the woodwasp population below damaging levels. As Sirex woodwasp establishes in new areas, this nematode can be easily mass-reared in the laboratory and introduced by inoculating it into infested trees. Biological control employing these nematodes is being evaluated for use in U.S. forests. If effective, it should provide a good control option for southern landowners and land managers.

The effects of changes in temperature, carbon dioxide, and precipitation on Sirex woodwasp activity and aggressiveness are unknown. If pine acreage increases throughout the South or in certain areas of the South, susceptibility of these areas to attack will increase.

Southern pine beetle—Southern pine beetle (SPB), Dendroctonus frontalis, is the most destructive insect pest of pine forests in the South (Thatcher and Conner 1985). Populations build rapidly during periodic outbreaks and kill large numbers of trees. For example, during the outbreak of 1999 to 2002, SPB killed more than a million acres of pines valued at greater than $1.5 billion. However, during periods of low activity, SPB populations may be so low that it is difficult to locate a single infested tree (Thatcher and Barry 1982, Thatcher and others 1980) or capture beetles in pheromone traps (Billings and Upton 2010).

The SPB, which attacks all species of pines, prefers loblolly (Pinus taeda), shortleaf (P. echinata), Virginia (P. virginiana), slash (P. elliottii) pond (P. serotina), and pitch (P. rigida) pines but seldom attacks longleaf pine (P. palustris). SPB has been observed to successfully infest eastern white (P. strobus) and Table Mountain (P. pungens) pines. Mature trees in pure, dense stands have long been considered most susceptible to SPB attack, but in recent years unthinned pine plantations have increasingly supported SPB infestations (Cameron and Billings 1988). Attacks are rare for trees younger than 5 years or smaller than 2 inches in diameter at breast height (d.b.h.).

During outbreaks, SPB activity peaks in early summer in States on the Gulf of Mexico and in late summer and early autumn farther north.

In the last five decades, large acreages of pine plantations have been established in the South. Even-aged, single-species plantations become increasingly susceptible to SPB infestations as they age. Millions of acres of pine across the South are at high hazard for SPB attack as shown by regional and State maps (Nowak [N.d.]). SPB hazard maps and information about their development can be viewed at: http://www.fs.fed.us/foresthealth/technology/nidrm_spb.shtml.

SPB impacts over the next 50 years are expected to be significant, especially if the pine acreage increases in the South, high-susceptibility species are planted in dense plantations, and the plantations are left unthinned. A warmer, drier climate is likely to increase SPB activity and impacts. Warmer temperatures will likely allow an increase in the number of SPB generations per year as well as the portion of the year that the beetles are active. The northern edges of the southern region and pine stands that are farther north than the historical SPB range (such as in the Lake States, New England, and Canada) are almost certain to experience SPB activity and impacts that are unprecedented or at least significantly greater than in the past.

There is some uncertainty and debate about the potential effects of a warmer climate on SPB (Tran and others 2007), and general predictions are difficult to make. An increase in temperature (particularly warmer winters) would allow more generations per year. Gan (2004) and Rivera Rojas and others (2010) predict outbreaks to become more frequent as climate changes, although lack of landscape-scale data on host abundance and distribution may have led Gan to overestimate future SPB activity. Very high summer temperatures may increase brood mortality, reduce spot growth rates, and hinder predation. Warmer winter temperatures may disrupt synchronization of the life cycles required for concentrated spring emergence that favors initiation of large, new infestations (Billings and Kibbe 1978).

The impact of outbreaks in the 1980s was magnified by an abundance of contiguous mature stands of sawtimber, many of which have been replaced with young plantations, at least on non-Federal lands. If increased forest fragmentation, a younger age class distribution, and more thinning of plantations occur in the next 50 years, SPB impacts could be lower in the future, despite increases in temperatures. And although it is generally accepted that increased temperatures will increase SPB activity and damage, other factors (for example forest composition, forest management, direct suppression, etc.) may be more meaningful in determining future SPB activity and damage (Friedenberg and others 2008).

Similar to temperature’s effect on SPB, the potential of moisture regime to increase or decrease SPB problems is open to conjecture and not fully understood. Some experts believe that drought is a major enhancer of SPB outbreaks, whereas others point to too much moisture as a primary facilitating factor. If the frequency of precipitation extremes (years of extreme wetness or dyness) increases throughout the South over the next 50 years, it is probable that pines will become stressed and increased SPB activity and damage will result.

In addition to the effects that forest composition, temperature, and moisture will have on the SPB outlook, forest management will play a defining role. Planting the proper species for a given site, lower planting densities, and thinning of pine stands can increase stand vigor and resiliency and possibly reduce SPB damage. When outbreaks do occur, damage can be minimized by early detection and monitoring of spots, followed by prompt direct suppression of active spots (Billings 1980).

Texas leafcutting ant—The Texas leafcutting ant, Atta texana, targets first- and second-year pine plantations in eastern Texas and west central Louisiana. In local areas where the ants are abundant, it is nearly impossible to establish pine plantations unless the ant colonies are eliminated. The annual loss of pine seedlings to Texas leafcutting ants is nearly 12,000 acres (Cherret 1986, Texas Forest Service 1982).

A warmer climate may lead to an increase and/or continuation of leafcutting ant activity during winter months. Decreased precipitation would likely have the opposite effect. Because this ant has a strong preference for well-drained, deep sandy soils (Moser 1984, Vilela 1986), climate-induced spread beyond its current distribution is unlikely. Although leafcutting ants are limited by average low temperatures (warmer temperatures would lessen this limiting factor), their spread into new, northern areas is going to be limited due to the lack of preferred soils for the ant. There is a possibility that a warmer climate would allow northward movement into areas of Oklahoma and Arkansas that have deep, sandy soils. A new fipronil control product, PTM™ was registered in 2009, and an insecticidal bait is on the horizon. Regular and consistent application of these products has the potential to reduce the impacts of Texas leafcutting ants from historical levels.

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Insect Pests of Hardwoods

Asian longhorned beetle—Asian longhorned beetle, Anoplophora glabripennis, was discovered attacking hardwood trees in the United States in the mid-1990s. Tunneling by beetle larvae girdles tree stems and branches. Repeated attacks lead to dieback of the tree crown and, eventually, death of the tree. The beetle probably travelled to the United States inside solid wood packing material from China. This pest beetle has been intercepted at ports and found in warehouses throughout the United States and is currently infesting trees in New York City, New Jersey, Worcester (MA), and Toronto (Ontario, Canada). It was successfully eradicated from the Chicago area following a lengthy and aggressive campaign of detection and removal of infested trees (Antipin and Dilley 2004).

This beetle is a serious pest in China, where it kills hardwood trees in roadside plantings, shelterbelts, and plantations. In the United States the beetle prefers maple species, including boxelder (A. negundo), Norway (A. platanoides), red (A. rubrum), silver (A. saccharinum), and sugar (A. saccharum) maples. Other preferred hosts are birches (Betula spp.), Ohio buckeye (Aesculus glabra), elms (Ulmus spp.), horsechestnut (Aesculus hippocastanaeum), and willows (Salix spp.). Occasional-to-rare hosts include ashes, European mountain ash (Sorbus sp.), London planetree (Platanus sp.), mimosa (Albizia julebrissin), and poplars (Populus spp.). A complete list of host trees in the United States has not been compiled.

Asian longhorned beetles produce one generation per year. Adult beetles are usually present from July to October, but can be found later in the fall if temperatures are warm. Adults usually stay on the trees from which they emerged or disperse short distances to a new host to feed and reproduce. Each female usually produces 35 to 90 eggs (or more) during her lifetime. Eggs hatch in 10 to 15 days. The larvae feed under the bark in the living tissue of their host and then bore deep into the wood to pupate. Adults emerge by boring a tunnel and creating a large round exit hole in the tree (USDA Forest Service and Animal and Plant Health Inspection Service 2008).

Currently, the only effective means to eliminate Asian longhorned beetle is to remove infested trees and destroy them by chipping or burning. To prevent further spread of the insect, quarantines are established to prevent transportation of infested trees and branches from the area. Early detection of infestations and rapid treatment response are crucial. Systemic insecticides can provide protection for individual trees or small numbers of trees, but individual tree treatment is not feasible in forested settings.

The future impact of Asian longhorned beetles on southern forests is unknown for several reasons. First, the pest may or may not spread into the South over the next 50 years. Significant eradication and containment efforts are being pursued in areas where trees are under attack. Although the beetle disperses slowly—it does not fly great distances and tends to remain in the same area until hosts are exhausted—it may be spread great distances in firewood or by movement of other infested material.

A wide variety of southern hardwood trees (especially maples) is at risk. It is unlikely, however, that vast areas of hardwoods would be killed within the next 50 years because the beetle takes several years to kill host trees and it is a slow disperser. If spot infestations are discovered early enough, the beetle can be eradicated before it becomes widely established. Successful eradication efforts require much time, funding, personnel, and strength of will.

Effects of southern climate on Asian longhorned beetle are completely unknown. Extreme heat in some parts of the South may inhibit activity and success. However, there is also the possibility that warmer temperatures would lead to quicker completion of the beetle’s life cycle, which would mean larger populations and more damage to southern trees.

Baldcypress leafroller—Formerly named the fruittree leafroller, the baldcypress leafroller, Archips goyerana, periodically defoliates baldcypress in Louisiana and Mississippi. Kruse (2000) describes the baldcypress leafroller, and summarizes its biology and its effects on its host. This native insect causes growth reduction and dieback, but only causes mortality when multiple other stressors are at work.

The baldcypress leafroller was first recorded in 1983 in Louisiana, where it feeds almost exclusively on baldcypress. It annually defoliates an average of 35,000 acres in the oak-gum-cypress forest type. Although this insect is mainly a pest of flooded baldcypress, it can move into drier upland and urban settings during periods of heavy infestation.

Baldcypress trees of all sizes display canopy dieback and significant reductions in diameter growth resulting from repeated annual defoliation. Pole-sized to small sawtimber-sized trees growing on forest edges or in dense stands are most severely affected. In areas where chronic saltwater intrusion is a problem, trees die after as few as two consecutive years of defoliation.

Temperature and precipitation changes are unlikely to directly affect baldcypress leafroller’s activity and impacts. However, higher sea levels resulting from warmer temperatures would further stress baldcypress trees because of increased saltwater intrusion, significantly increasing the likelihood that defoliation would damage and kill host trees. Human alterations to southern Louisiana’s hydrology, greater saltwater intrusion, nutria feeding, defoliation by baldcypress leafroller, and other stressors are all combining to threaten the baldcypress resource in southern Louisiana. Although unlikely to disappear in the next 50 years, this resource is expected to continue to be compromised.

Emerald ash borer—Emerald ash borer, Agrilus planipennis, is a devastating, wood-boring beetle native to Asia. It was first found infesting trees in North America in southeastern Michigan and adjacent areas of Ontario, Canada, in 2002 (Various 2010). Within the core infested area of Michigan, Indiana, and Ohio, more than 50 million ash trees are estimated to be dead, dying, or infested (Smith and others 2009). Elsewhere, the emerald ash borer already has killed tens of millions of ash trees, and continues to pose a serious threat to the ash resource of North America.

The emerald ash borer was first found in the United States in 2002, but it was likely introduced into the area around Detroit in the early 1990s (Kovacs and others 2009), probably in solid wood packing material from Asia. Soon after detection, five counties in Michigan were placed under quarantine. However, in the years before detection, infested material—such as nursery stock, unprocessed ash logs, firewood, and other ash commodities—was most likely moved to many areas around the United States. Inadvertent movement by humans continues into the present in spite of Federal and State quarantines restricting the export of potentially infested materials once the borer is detected in a county (U.S. Department of Agriculture Animal and Plant Health Inspection Service 2003, 2006). Surveys made in 2003 found infestations in 12 counties in Michigan and 3 counties in northern Ohio. By early 2011 infestations were located in an additional 13 States: Indiana, Illinois, Iowa, Maryland, Pennsylvania, Missouri, Virginia, West Virginia, Wisconsin, Kentucky, Minnesota, and New York (fig. 16.2). In Canada, infestations now occur in several areas of Ontario and Quebec (USDA Animal and Plant Health Inspection Service 2011).

Since its introduction, the emerald ash borer has had a significant negative impact on the ecology and economy of infested areas, with all 16 species of North American ash appearing to be susceptible. Ash trees are an important part of the rural and urban forests of the United States, valued at more than $282 billion (USDA Animal and Plant Health Inspection Service 2003). Ash wood is used for a number of applications including tool handles, baseball bats, furniture, cabinetry and paper. As a result of wide-scale loss of American elms to Dutch elm disease in the 1970s and 1980s, ash has often become the tree of choice for landscaping in new residential areas and commercial plantings. Ashes are now among the most common tree species along streets, and in parks and yards. Annually, the nursery industry produces an estimated 2 million ash trees, valued at approximately $140 million. Ecologically, the 16 species of ash fill a number of niches, from riparian areas to upland forests.

In all likelihood the emerald ash borer will infest and kill many, if not most, of the ash trees in the South over the next 50 years. Generally, ash is not a dominant component of southern forests, but it is almost always common and in some areas (such as the bottomland hardwood forests of the Mississippi delta) ash makes up a considerable portion of hardwood harvests. Green ash is a small but significant component of most riparian forests in the South. The largest impact is likely to be in urban areas, where ash is a common street and yard tree in many communities.

In its native range in Asia, the emerald ash borer does not cause serious damage to ash trees. As a consequence, very little was known about its biology (life cycle, flight capabilities, host preferences, and natural enemies) and control. Also unknown were methods to detect the presence of the borer and the trees they had infested. One of the greatest challenges for managers is this limited ability to detect infestations early enough to effectively control them and prevent their spread.

There are a number of effective chemical control options available to protect individual trees from infestation (Herms and others 2009). Unfortunately, available time, funding, equipment, and expertise limit the number of trees that can be protected to urban/suburban settings and a very small number of high value trees in forested settings. With the emerald ash borer destroying every ash in its path, one practical option may be to delineate and protect small pockets of exceptional ash resource as “ash conservation areas.”

Several larval and egg parasitoids are being investigated for use as biological control agents (USDA Animal and Plant Health Inspection Service and others 2010). Although results are preliminary, it is reasonable to expect that biological control agents would mitigate populations but would not control or completely stop the spread and impacts of this insect invader.

The effects of changes in climate—such as increases in temperature, precipitation, and carbon dioxide— on emerald ash borer are uncertain. Warmer temperatures would likely result in more rapid life cycle completion resulting in increased population growth and impacts. However, the extreme heat of southern summers could actually inhibit activity and reduce the amount of ash mortality. The range of ash trees in the South is expected to shrink as the climate warms; between climate stress and the emerald ash borer infestations, the South is likely to lose millions of ash trees in the next 50 years.

Figure 16.2—Emerald ash borer locations in the United States and Canada as reported February 2011 (adapted from USDA Animal and Plant Health Inspection Service 2011) Figure 16.2 (Legend)
Figure 16.2—Emerald ash borer locations in the United States and Canada as reported February 2011 (adapted from USDA Animal and Plant Health Inspection Service 2011). Note: This map is undergoing rapid change due to the ongoing expansion of the range of this disease. The most current map can be found at: http://www.aphis.usda.gov/plant_health/plant_pest_info/emerald_ash_b/downloads/multistateeab.pdf

Forest tent caterpillar—Forest tent caterpillar, Malacosoma disstria, occurs throughout most of the United States and Canada, where it defoliates a variety of hardwoods (Batzer and Morris 1978, Drooz 1985, Fitzgerald 1995, USDA Forest Service 1985b). In the South, it heavily defoliates water tupelo (Nyssa aquatica), sweetgum (Liquidambar styraciflua), blackgum (N. sylvatica), and various oak species (Quercus spp.). The most persistent and extreme outbreaks in the South occur on host trees in bottomlands, forested wetlands, and riparian areas. When populations reach epidemic levels, the caterpillars often spread to urban and suburban areas where they defoliate shade trees and ornamental plants.

Outbreaks occur in several Southern States, where more than 500,000 acres can be defoliated in a single season; defoliation does not cause significant amounts of tree mortality and therefore control practices are rarely cost effective. However, significant loss of tree growth is often an outcome, and repeated, heavy defoliation of stands may cause significant dieback. If needed, control techniques are available and have proven effective but depend on the availability of both funding and technical expertise.

Tent caterpillar impacts occur mainly in the bottomland hardwood-cypress forest types (mapped as oak-gum-cypress and elm-ash-cottonwood), but they occasionally occur in upland northern hardwood forest types (mapped as maple-beech-birch, oak-hickory, and oak-pine).

Changes in temperature and precipitation are unlikely to increase defoliation by forest tent caterpillars. If climate change significantly stresses the forest types most vulnerable to tent caterpillar defoliation, the additive effect of multiple stressors could mean hastened or increased tree mortality.

Gypsy moth—Gypsy moth, Lymantria dispar, is native to Europe and Asia. In 1869, Leopold Trouvelot introduced the European strain of the gypsy moth. Since then, it has spread across the landscape of the eastern United States, defoliating vast acreages of forest (USDA Animal and Plant Health Inspection Service 2010b). The insect was found in northeastern Virginia in the early 1980s. At its current rate of spread, specialists predict that a significant portion of the South will be infested in the next 50 years.

The impact of repeated gypsy moth defoliation on the health of oak forests is significant (Campbell and Sloan 1977). Repeated severe defoliation of oaks weakens trees to such an extent that they may be attacked and killed by secondary pest organisms, such as the two-lined chestnut borer (Agrilus bilineatus) and Armillaria root rot (caused by Armillaria mellea). Extended drought intensifies the death rate.

Gypsy moth caterpillars feed on a wide range of trees and shrubs (Liebhold and others 1995, Zhu 1994) but prefer oaks. Species are attacked preferentially without respect to forest type. Highly favored species include sweetgum, northern red oak (Quercus rubra), and American basswood (Tilia americana). Species of limited suitability include pines, maples (Acer spp.), ash (Fraxinus spp.), American beech (Fagus grandifolia), and cherry (Prunus serotina). Species that are not favored or are avoided include blackgum, yellow-poplar (Liriodendron tulipifera), black locust (Robinia pseudoacacia), baldcypress (Taxodium distichum), magnolia (Magnolia grandiflora), and tupelo (Nyssa sylvatica). As gypsy moth moves south and west, it will encounter lower concentrations of oak and cove hardwoods, and forest susceptibility will decrease in many but not all areas. However, with its wide host range it should still persist.

The most important disease agents affecting gypsy moths are the gypsy moth nucleopolyhedrosis virus (LdMNPV) and the gypsy moth fungus, Entomophaga maimaiga (Andreadis and Weseloh 1990, Hajek and others 1990).

The Slow the Spread Program decreases the gypsy moths’ rate of spread from approximately 25 miles a year to 7 to 10 miles per year (Sharov and others 2002). If the program continues, we can expect the gypsy moth to move 350 to 500 miles farther into the South over the next 50 years, compared to total infestation within 25 to 30 years without the program.

Gypsy moths can also be artificially spread by human activities; continued vigilance to detect and eradicate the resulting small infestations help to prevent the moth’s rapid spread into all areas of the South. In addition, methods exist to suppress areas of high populations in infested areas and to eradicate “satellite” infestations in advance of the moth’s moving front; these methods include aerial applications of Bt (Bacillus thuringiensis) or dimilin (insecticides), or pheromone flakes (to disrupt mating).

Temperature changes alone are unlikely to have a dramatic effect on gypsy moth movement or impacts. The range of gypsy moth infestation is expected to expand regardless of changes in climate, and at a rate faster than can be attributed to any potential climate change-caused host range expansion. If warmer temperatures cause the oak-hickory forest type to displace boreal forests at higher elevations in the South, gypsy moth impacts will likely increase in these areas.

However, one hypothesis is that gypsy moth spread and damage will decrease as temperatures warm, thereby reducing the extent of southward spread. Gypsy moths need a cold snap to synchronize hatches (avoids different life stages from occurring at the same time) and thus improve mating efficiency.[2] If this hypothesis is correct, as the moth moves farther south and as the temperatures warm, winters would not be cold enough or the necessary cold snap would come too late in the year to synchronize the spring hatch.

A drier climate would likely increase gypsy moth impacts because it would stress host trees and discourage build-up of the moth’s fungal predator, which thrives during wetter springs.

Because the gypsy moth is still spreading into the South, barring unforeseen circumstances we can say with certainty that its impacts will increase over the next 50 years. How severe and widespread the impacts will be, however, is dependent on many factors including: the continuation of active programs to slow the spread, suppress and eradicate gypsy moth; the amount and health of hardwood forests the moth encounters in the future; and potential unknown temperature and moisture effects on the moth, its hosts, and its natural enemies.

Hardwood borers—Insect borers are important pests of hardwood trees throughout the South. They tunnel in the bark, trunks, terminals, and roots, causing a variety of defects in wood, stem deformity, reduction of seed production, and tree decline.

Some of the major damaging borers in the South (Solomon 1995) are the carpenterworm (Prionoxystus robiniae), red oak borer (Enaphalodes rufulus), white oak borer (Goes tigrinus), redheaded ash borer (Neoclytus acuminatus), poplar borer (Saperda calcarata), oak timberworm (Arrhenodes minutus), Columbian timber beetle (Corthylus columbianus), and ambrosia beetle (Xyleborus celsus). Borers that are endemic to an area do not normally cause dieback and mortality, but in abnormally large numbers they contribute to tree decline and stand degradation. Excessive numbers of growth defects caused by borers affect between 25 and 88 percent of all hardwood logs (Ward and Mistretta 2002).

In the early 2000s, prolonged droughts compromised the vigor of oaks in northern Arkansas, leading to a massive red oak borer outbreak. Although they were not the primary cause of the oak mortality in that area, the borers soon became the most destructive agent in the decline complex. More than 340,000 acres of oak and mixed-oak-pine forest were severely impacted, with an estimated loss of 500 million board feet (more than $29 million) of oak.

Temperature change by itself is unlikely to have much effect on hardwood borer populations. As secondary insect pests, these borers are expected to have increased impact as populations of hardwood age and decline, especially during periods of drought stress. Hardwood borer activity and damage is likely to increase throughout the South over the next 50 years if current predictions of future climate change prove accurate.

Soapberry borer—Soapberry borer, Agrilus prionurus, a native of Mexico, was first confirmed in eastern Travis County, Texas, in 2003. It infests and kills western soapberry (Sapindus saponaria var. drummondii), its only known host. Reports by landowners and arborists indicate that the insect had probably been infesting soapberry trees for several years prior to being identified. Infested trees were observed in Travis and McLennan counties as early as 1998. By January 2009, infestations had been reported in 18 Texas counties, including areas near Fort Worth, Dallas, Waco, College Station, Austin, Houston, and Corpus Christi. By December 2010, the number of counties had increased to 43 (Billings 2011).[3] To date no infestations have been observed in adjacent States, although infestations in Roberts County in the Texas panhandle and Wichita County on the Texas-Oklahoma border suggest that the insect may already be in Oklahoma (fig. 16.3).

As soapberry borer populations expand rapidly in Texas, this wood-boring beetle is killing all soapberry trees larger than 2 inches d.b.h. Methods of prevention and control are being investigated. Among the most promising is injection of a systemic insecticide (emamectin benzoate, registered for the control of insects on conifers and hardwoods, including the prevention of emerald ash borer) into uninfested soapberry trees or those in early stages of attack. Test-injection trees are still being monitored, but early results look promising.

Regardless of climate change, it is likely that within 50 years the insect will threaten western soapberry populations throughout the tree’s entire range, which extends from northern Mexico to Missouri, and west to Arizona.

Figure 16.3—Counties where soapberry borer has been found in Texas through July 2011; courtesy of the Texas Forest Service, Texas A&M University System Figure 16.3 (Legend)
Figure 16.3—Counties where soapberry borer has been found in Texas through July 2011; courtesy of the Texas Forest Service, Texas A&M University System (adapted from http://www.isatexas.com/images/pdf_files/insect_pests/Soapberry_Borer_Found_in_33_counties_in_Texas.pdf). Note: This map is undergoing rapid change due to the ongoing expansion of the range of this insect pest.

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Diseases of Softwoods

Annosum root disease—Annosum root disease (ARD), caused by the fungus Heterobasidion annosum (recently proposed to be renamed H. irregulare (Otrosina and Garboletto 2010), produces significant losses of conifers across the South. On sandy, well-drained sites, this disease causes growth loss and mortality. It is most often associated with thinning of loblolly, longleaf, shortleaf, slash, and white pine plantations. The fungus commonly infects fresh stumps and then grows through root grafts (roots that come into physical contact and then grow together, sharing water and nutrients) and infects residual trees on the site. Slash and loblolly pines are the most commonly planted species in the South and are both very susceptible to ARD (Robbins 1984, Stambaugh 1989).

A survey in the South documented: 44 to 60 percent occurrence of this root disease; and 2 to 3 percent mortality in planted pine. Radial and height growth are significantly less for diseased pines (Applegate 1971, Froelich and others 1977, Morris 1970).

The primary risk factors associated with ARD are the amount of host type available, the soil type and condition, and the timing and degree of management activity. Risk decreases as clay content in the surface layer of soil increases, a condition that enables risk mapping (Ward and Mistretta 2002). In the South, risk of ARD is high or moderately high on an estimated 163.5 million acres, not all currently forested (Hoffard and others 1995).

The range of ARD already extends throughout southern forests and into the boreal forests of the North, making spread unlikely. Indeed, its range could decrease with efforts by many land management agencies to restore the less susceptible longleaf pine to its previous range while concurrently potential drought/temperature related dieback in the southernmost part of the loblolly/slash pine range further decrease its range. Increased temperatures, reduced rainfall, and increased host growth (from more carbon dioxide in the atmosphere) would all produce some increases in disease activity resulting from increased host susceptibility, but would not significantly increase fungus virulence. It is improbable that climate warming/drying would affect pine susceptibility on well-drained, sandy sites and forested old farm fields since on these sites potentially affected pines are already highly susceptible to the disease.

Management for disease prevention using borax as a stump treatment in uninfected stands should continue to be effective. Depending on the rate of temperature increase, insolation (thermal treatment of the stumps by the sun) may be effective in preventing infection via stumps further north than the 35th parallel, which is the currently accepted northern limit of its effectiveness.

Loss of area by host species favored by H. annosum should lead to a slight overall loss of the negative impact of this disease over the next 50 years.

Brown spot needle disease—Brown spot needle disease, caused by the fungus Scirrhia acicola, is considered the most damaging disease of longleaf pine. It primarily affects seedlings by delaying the onset of height growth and causing loss of potential wood production and mortality (if infection is severe). Brown spot is somewhat a disease of opportunity: the grasses that compete with longleaf seedlings also maintain a humid microclimate that contributes significantly both to infection of the seedling and to the general success of the disease.

This disease occurs from Virginia to Texas, primarily on the Coastal Plain. It is more severe in certain geographic areas (Ward and Mistretta 2002). Use of controlled fires to remove competing grasses and eliminate dampness is highly effective for controlling the disease and encouraging early growth of seedlings, provided steps are taken to avoid subsequent colonization by competing non-natives such as cogongrass.

At present, longleaf pine occupies only about 5 million acres of its former 60 million acre range. Recent restoration efforts have led to the production of healthier seedlings for planting and planting success has improved on sites where longleaf was once the dominant species (Cordell and others 1989, Kais 1989). Over the next 50 years, the emphasis on longleaf pine restoration should have a greater impact on this disease than climate warming. Longleaf pine is well adapted to summer temperatures in the South and it is unclear that increases even as high as 1 oC would have significant impact on the southern extent of the longleaf pine range. Higher temperatures might slightly favor increase in growth and longer summer heat spells might trigger early onset of height growth from the grass stage to the candle stage, ending the potential for brown-spot damage sooner. Reductions in rainfall, dew, and fog should favor the longleaf pine over the fungal pest. No shift in aggressiveness of infection or virulence of the pathogen is foreseen.

We anticipate a significant increase in the incidence of brown spot disease. This expectation is based more on increased out-planting of longleaf pine seedlings than on climate influences. Thus, although climate change is not expected to significantly change the disease profile (its virulence or host spectrum), human intervention to increase the quantity of host trees could result in increased incidence.

Fusiform rust—Fusiform rust, caused by the fungus Cronartium fusiforme f. sp. fusiforme, occurs primarily on slash and loblolly pines. It is considered the most destructive disease of southern pines, causing the production of cigar-shaped galls that are generally fatal if formed on the main stem of the host (Anderson and others 1980, Czabator 1971).

Extensive planting of susceptible slash and loblolly pines since the 1930s has resulted in an epidemic of fusiform rust, which now extends throughout its available host range in the South; infected trees being found throughout the southern pine region (Ward and Mistretta 2002). Losses are most serious on Coastal Plain sites from Louisiana to southeastern South Carolina. Several variables including weather, amount of inoculum, abundance of oaks (the alternate host), and susceptibility of the individual pine species govern incidence of the disease. Effective strategies are available for managing fusiform rust impact in plantations and forests including avoidance of over-fertilizing seedlings in the nursery, silvicultural manipulation of young stands to favor healthy saplings, and favoring the deployment of genetically screened resistant seedlings in areas of historic high rust incidence.

Increase in disease range in this region under the influence of a warmer, drier climate change scenario is not a concern since the disease is already distributed host-range wide within the region. However, increased temperature and carbon dioxide in the atmosphere could cause the pathogen to become more virulent on its current host base. Although there is some disagreement on the effect of projected warmer, drier climate regimes on the geographic ranges for the pine hosts, it is anticipated that any losses of pine in coastal areas would be matched by gains in the Piedmont and in the lower reaches of the Appalachian Mountains.

Although research on rust fungi is inconclusive and primarily based on cereal grains and other field crops, results suggest that there would be greater incidence of fusiform rust simply as a function of healthier fungus and host trees (Chakraborty and others 1998). We also anticipate that loblolly pine at least will be planted in areas north of its current range; and that the rust, which infects juvenile tissue, will rapidly follow into these newly planted areas.

Over the next 50 years given the general availability of oak alternate hosts for the fungus and the only slight predicted migration of pine from coastal areas upward into the Appalachian Mountains, we expect that the pathogen will successfully fully colonize the extended range of its hosts. The potential effect of outplanting rust resistant seedlings in conjunction with potential geographic range and climate shifts is uncertain at the present time. If the resistance is maintained in the face of changing conditions, a reduction of the impact of this disease would be expected to occur.

Littleleaf disease—Littleleaf disease is the most serious pest of shortleaf pines in the South. It is caused by a complex of factors including a nonnative fungus (Phytophthora cinnamomi), low soil nitrogen, eroded soils, poor internal soil drainage, and a plow pan—a compacted layer of soil that has become less porous than the soil above or below, generally the result of tilling or other farming operations (Campbell and Copeland 1954). Often, native nematodes (microscopic roundworms) and native species of Pythium (also a fungus) are associated with the disease. Infected trees have reduced growth rates and commonly die within 12 years of symptom onset.

P. cinnamomi is distributed throughout (and well beyond) the range currently occupied by shortleaf and loblolly pine in the South. Shortleaf pine is the most seriously damaged softwood host, with loblolly pine affected to a lesser extent; American chestnut was its primary hardwood host. Littleleaf disease has also been reported on Virginia, pitch, slash, and longleaf pines. Affected pine stands are found on the Piedmont from Virginia to Mississippi. The disease has its greatest impact in Alabama, Georgia, and South Carolina (Ward and Mistretta 2002, fig. 17.10), with additional scattered pockets occurring in eastern Tennessee and southeastern Kentucky. Note that, although the fungus’ range exceeds the range of its pine hosts, littleleaf disease is further restricted in within that larger range generally by site conditions.

The fungus has a mobile spore and needs water to spread from and infected host to uninfected potential hosts; however, the disease thrives under dry conditions that stress the host. Control strategies are available but most—such as sanitation thinning and salvaging dead materials—rely on treatment after infection when damage is imminent or already occurring.

Because of its specific site requirements, spread into uninfected southern forests is not expected. Further, rehabilitating sites by breaking up of the plow pans that favor this disease should result in better water relations and a reduction in infections. An increase in atmospheric carbon dioxide would result in increased growth of the host and greater disease expression in affected trees. Losses to this disease should continue at the same rate on affected sites. However, its range should contract if increased temperatures cause its hosts to migrate north, and its impact should decrease over time as sites are rehabilitated.

Loblolly pine decline—Reports of sparse, yellowing crowns, and low annual wood production in the pines of central-to-northern Alabama date back to the late 1960s (Brown and McDowell 1968, Brown and others 1969). Since the early 1990s, localized incidents of declining pines have been occurring throughout Alabama and into southwestern Georgia, with additional symptoms including root mortality and discoloration of many of the surviving rootlets (Hess and others 2003). Recent literature suggests the presence of fungi—including Leptographium serpens, L. terebrantis, and L. lundbergii–in the roots of affected trees (Eckhardt and others 2004b); but whether they are primary pathogens or simply taking advantage of already significantly weakened trees is still uncertain. A bark beetle, Hylastes sp., has been found in the root systems of many declining pines, and is suspected of vectoring the fungus from infected to uninfected trees (Eckhardt and others 2004a). Information is lacking on whether they select weakened trees to attack or are indiscriminate in their attacks (which would suggest that healthy trees may be able to overcome successful inoculation).

The symptoms of the decline primarily occur in loblolly pines older than 40 years, first becoming apparent in trees in the 40 to 50 year age class. Mortality can occur beginning as little as two to three years after first symptom expression. Little is known about the potential range and severity beyond that from field surveys in central northern Alabama (Hess and others 2005) and Fort Benning, Georgia (Menard and others 2006). Nevertheless, there is strong speculation that both abiotic and biotic factors are involved in predisposing affected stands to decline. These factors include climate, wildfire, and human disturbances such as previous agriculture. Coincidently, many upland sites in northern and central Alabama were originally converted from subsistence farming to loblolly pine plantation because of loblolly’s out-planting success rate and its rapid growth. One theory is that many of these sites are simply unable to sustain such rapid growth over the long-term.

Despite the uncertainties about the causes and progression of this disease complex, management strategies are in place that can be implemented with the expectation of improving resistance of future stands on affected sites. These strategies start with applying a risk rating model that uses digital elevation maps and mapped shape files for the sites in question combined with data on landform and root health of the trees in the stand. If the model predicts hazard to loblolly pine, the recommended alternative species is longleaf pine. For existing loblolly pine stands on high hazard sites, the recommendation is to thin them between ages 20 and 40 (Hess and others 2003). A previous recommendation, to allow a high- risk site to revert back to native hardwoods (Loomis 1976, Miller 1979), is still a viable (but seldom adopted) management option.

Tree decline is likely to increase in a warmer and drier climate, regardless of inputs from disease and insect vectors. This response to changing climate is a major factor in the northward movement projected for the southern pines. Increasing incidence of decline should eventually diminish as new adapted ecosystems form in the region, but this is not expected to occur within the next 50 years.

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Diseases of Hardwoods

Beech bark disease—Beech bark disease is caused by a complex of two or more agents working in concert. The beech scale, Cryptococcus fagisuga, attacks the bark of American beech, creating infection courts which are subsequently colonized by the fungus Nectria coccinea var. faginata. This fungus causes cankers that grow together and girdle host trees.

While the beech scale is now a common pest of the American beech, it is nonnative, having been introduced through the Canadian Province of Nova Scotia in the late 1800s. There is speculation that the fungus is also an introduced species. Discussion on that point is somewhat pointless since a native fungus, N. galligena, is also capable of inciting cankers and killing hosts after entering through scale-damaged bark. The scale is considered the pivotal introduction that allowed the invasive spread of this disease complex (Houston and O’Brien 1983, Southern Appalachian Man and the Biosphere 1996).

This disease complex, first identified in southern forests in the early 90s, continues to spread along a broad front and is expected to occupy the range of its host (Ward and Mistretta 2002). In the early phase of its cycle, more than half of the American beech trees 10 inches d.b.h. or larger are killed. Openings created by death or removal of the beech result in dense stands of root-sprouts, which produce stands dominated by beech but lacking any of its normal associates. In the second phase of the cycle, revegetated beech stands are attacked less severely, resulting in cankered survivors rather than in extensive mortality. Trees infected in this phase are rarely girdled, but they are generally severely deformed.

Since this disease complex affects only American beech, there is a direct relationship between the amount of beech in a stand and the intensity of the disease. Houston (1997) reports that stand age and density, tree size, and species composition affect disease severity, especially in forests affected for the first time.

Beech bark disease is enabled by an insect vector, so the projection of future condition is complicated beyond that of a simple pathogen or insect driven pest system. Vector mediation corresponds to availability of spores and host susceptibility, and is expected to maintain synchronicity sufficient to cause a slight increase in infection. Temperature intolerance of the host should reduce the host’s geographic range in the face of climate change. Increases in carbon dioxide should increase host growth allowing a slight increase in disease virulence.

Ultimately, however, the reduction in available host trees should result in an overall decrease of significance of beech bark disease in southern forests despite the probability that individual trees will experience a slight increase in disease severity.

Butternut canker—Butternut is being killed throughout its range in North America by a fungus, Sirococcus clavigignenti-juglandacearum, which causes multiple cankers on the main stem and branches of host trees. Butternut canker has been found in 55 counties in the South extending north from northern Alabama along the Appalachian Mountains into North Carolina, Tennessee, Virginia, and Kentucky, with scattered occurrences throughout Kentucky and Tennessee (Ward and Mistretta 2002). Butternut numbers have been dramatically reduced and the species is now listed as a species of Special Concern in Kentucky and as Threatened in Tennessee (USDA Natural Resources Conservation Service 2011). In both states the species is listed as G4/S3. G4 indicates a plant which is “…apparently secure globally, though it may be quite rare in parts of its range…” while S3 indicates “…rare and uncommon in the state…” (USDA Natural Resources Conservation Service 2008, 2009).

Detailed examination of cankers indicates that butternut canker has been present in the United States since the early 1960s. Its origin is unknown but its rapid spread throughout the butternut range, its highly aggressive nature on infected trees, the scarcity of resistant trees, the lack of genetic diversity in the fungus, and the age of the oldest cankers (40 years) support the theory that it is a recent introduction. Data from forest inventories show a dramatic decrease in the number of live butternut trees in the United States (77 percent loss in North Carolina and Virginia).

Because butternut makes up less than 0.5 percent of the trees in the South, the overall current impact of its loss to the forested ecosystem in the South is considered by some to be minor. However, as butternut trees die, they are replaced by other already present species, contributing to a reduction of biodiversity.

Climate change would likely raise temperatures at the higher elevations of the Appalachians and the Cumberland Plateau. This coupled with drier conditions would significantly reduce the range of butternut at its southern edge. Although the higher temperatures and predicted increases in atmospheric carbon dioxide could increase the host trees’ growth, drier conditions resulting from reduced precipitation would act against this increase. Overall we expect to see more cankering and mortality occurring on fewer butternut trees in the South.

Chestnut blight—Introduction of the chestnut blight fungus, Cryphonectria parasitica, from Asia, probably in the middle-to-late 1890s, led to a permanent change in forest ecosystems. The American chestnut (Castanea dentata) was essentially lost, not only as a valuable timber species but also as the most important producer of hard mast for wildlife. Oaks and other species filled the voids in forest stands left by the death of chestnut (Hepting 1974, Oak and others 1998). The fungus continues to survive on infected sprouts from old chestnut rootstock, various oaks, and some other hardwoods (Boyce 1961).

No control was found to stop the rapid devastation caused by this blight, and there is little chance that the pathogen will disappear or that the American chestnut will naturally recover its preeminent position in eastern forests. Researchers into hypovirulence have discovered a disease that weakens the blight fungus, resulting in less damage to the infected tree (Anagnostakis 1978). Field-testing is underway on a genetically engineered virus that causes a hypovirulent reaction and has the potential to efficiently spread hypovirulence throughout the fungal population.

Attempts to cross American chestnuts with oriental varieties and then backcross to the American parent appear to offer a viable method of maintaining resistant chestnut in forests (Schlarbaum 1988). Selectively breeding chestnuts as described has produced chestnut hybrid clones that are undergoing field evaluation by the American Chestnut Foundation. If the seedlings overcome both the blight and another disease (caused by Phytophthora cinnamomi) that was devastating chestnuts at the time chestnut blight was introduced, a serious effort can be made to reintroduce chestnut into the American forests. It is too early yet to predict the outcome of this effort. However, even if the hybrids are resistant to the disease, large areas of forest land cannot be restored to chestnut in the next 50 years because the seedlings that would be needed for that effort are not expected to be available in large enough quantities. Further, if climate change is considered, the impacts on chestnut deployed in the restoration effort would probably be similar to those predicted for oaks suffering from oak decline.

Dogwood anthracnose—Dogwood anthracnose is caused by an introduced fungus, Discula destructiva. It was first reported in the United States on flowering dogwood, Cornus florida, in 1978 and on western flowering dogwood, C. nuttallii, in 1979. For the past three decades, flowering dogwoods have been declining at a rate that threatens important cultural aspects of southern society. In some areas, they have been all but eliminated from the forest ecosystem above 3,000 feet (Ward and Mistretta 2002).

The eastern flowering dogwood is a small tree valued both as a sign of spring for rural communities and forest visitors, and as an important source of soft mast for over 100 different species of wildlife that feed on its berries (Kasper 2000). It is typically an understory tree found growing with other hardwoods such as oak and hickory. Severe infection is restricted to fully shaded understory trees at higher elevations (above 3,000 feet) and to those on shaded sites with a northern exposure. The hazard of severe infection and mortality is greatest in shaded, moist, and cool areas.

The range of this disease stretches southward into South Carolina and Alabama and westward into central Tennessee and scattered western Kentucky counties (Ward and Mistretta 2002) with activity concentrated in the Appalachian Mountains. The southernmost limit of the dogwood anthracnose range relative to available host trees suggests that this disease is temperature limited in the South. Whether this limitation functions at the time of spore propagation or dissemination and host infection, or whether it acts directly to limit disease success is unclear.

Any projected increase in the incidence or virulence of dogwood anthracnose based on increased host and fungal growth resulting from higher carbon dioxide levels in the atmosphere should be eclipsed by the temperature increases and possible rainfall reductions projected to occur under climate change. Increased temperature and aridity encroaching at higher-than-current elevations in the Appalachian Mountains should diminish the importance of this disease in the region, especially if it has reached a temperature barrier farther south. A recolonization of some areas currently denuded of dogwood by this disease might be possible.

Dutch elm disease—The Dutch elm disease pathogen is vectored by one of two bark beetles and can be caused by either of two closely related species of fungi: Ophiostoma ulmi (formerly called Ceratocystis ulmi); and Ophiostoma novo-ulmi, which is more aggressive in causing disease (Brasier 1991). These fungi were first introduced to the United States on diseased elm logs from Europe prior to 1930. It is unknown when the more aggressive species became established; however it was possibly present as early as the 1940s to 1950s, and most likely caused much of the devastating elm mortality through the 1970s. The less aggressive species is becoming increasingly rare in nature, and the aggressive species is thought to be the primary cause of current mortality. Although some local resurgence has been observed, there is no evidence that the pathogen has further changed. Localized resurgence is more likely the result of decreased monitoring and sanitation vigilance, a buildup in populations of the insect vectors, or high densities of susceptible host trees in the wild (French and others 1980, Haugen 2007, Hubbes 1999).

Native species of North American elms vary in their susceptibility to Dutch elm disease. American elm (Ulmus americana) is generally highly susceptible To the disease while winged elm (U. alata), September elm (U. serotina), slippery elm (U. rubra), rock elm (U. thomasii), and cedar elm (U. crassifolia) range from susceptible to somewhat resistant. No native elms are immune, but some individuals or cultivars have a greater resistance or a higher tolerance to infection (and therefore may recover or at least survive). Many European and Asiatic elms are less susceptible than American elm (Haugen 2007).

In addition to genetic factors present in some cultivars and species, physical factors affect tree susceptibility. These factors include season of the year, climatic conditions (such as drought), and vitality of the tree. Water conducting elements are most susceptible to infection because they are produced in the spring, making susceptibility highest from first leafing to midsummer and lowest during drought conditions. Vigorously growing trees are generally more susceptible than slower growing trees (D’Arcy 2005).

Roots of the same or closely related tree species growing in close proximity often cross each other in the soil and eventually fuse (become grafted). The fungus can move from infected trees to adjacent trees through these grafted roots. Infections that occur through root grafts can spread very rapidly throughout the tree, because the fungus is carried upward in the sap. Root graft spread is a significant cause of tree death in urban areas where elms are closely spaced (French and others 1980, Haugen 2007).

Current management options in urban, suburban, and other high value settings include sanitizing to reduce insect vectors, applying insecticides to kill insect vectors, disrupting root grafts; injecting trees with fungicide, eradicating the fungus from newly infected trees (pruning), and planting resistant or tolerant trees (French and others 1980, Haugen and Stennes 1999, Newhouse and others 2007, Scheffer and others 2008).

Although the most effective action is prompt removal of stressed, dead, and dying elms, this intensity of treatment is often not feasible (Haugen 2007).

Despite the presence of several elm species (American elm, winged elm, and slippery elm, at least) very little Dutch elm disease can be found in areas below northern North Carolina, Tennessee, and Arkansas. It appears that either the beetles or the fungi involved in transmitting/causing the disease are temperature limited. Barring significant changes in its pathogen/vector combination, increasing temperature and migration of the host slightly to the north is expected to diminish the disease’s overall impact in the South.

Laurel wilt—Laurel wilt is an insect-vectored disease that is currently decimating the redbay (Persea borbonia) population of the southern Coastal Plain. This disease was first identified near Port Wentworth, Georgia, in 2003 and has subsequently spread north, south, and inland (west) from that location (fig. 16.4). It is caused by an introduced and only recently classified fungus, Raffaelea lauricola, (Harrington and others 2008) that is vectored from host to host by an ambrosia beetle (Xyleborus glabratus, also an introduced species). The beetle carries the fungus in pouches located near its mandibles. When the beetle bores into the sapwood the fungus inoculates the xylem. Once inoculated, the host rapidly develops a vascular wilt; its leaves die generally downward from the top, and the wood beneath the bark becomes discolored from streaking (Fraedrich and others 2008). Infected hosts display rapid dieback (wilted leaves and discolored sapwood) and may or may not exhibit extrusion of frass (the fine powdery sawdust and excrement that insects pass as waste after digesting plant material) from the insect’s entry holes.

Several additional hosts have been identified for this vectored disease including swampbay (Persea palustris), sassafras (Sassafras albidum), avocado (Persea americana), camphor (Cinnamomum camphorate), pondberry (Lindera melissifolia), and pondspice (Litsea aestivalis). Redbay, however, is the favored host for the ambrosia beetle and to the present the severest damage has been limited to redbay (Hanula and others 2008).

At the present time there is no effective control known for this disease for forest and woodland use. While preliminary results using propiconazole (a fungicide) show promise for preventing the disease in treated trees, the necessity of retreating them and the cost of treatment suggests that in the future use may be limited to the protection only of high value trees (Mayfield 2008). Research into chemical treatment, centered on control of the vector, is ongoing but has yet to identify a chemical effective for this purpose. Management recommendations emphasize early sanitation (removal) of killed material but with the strong concurrent recommendation that the dead materials not be moved offsite, or if moved offsite then not out of the known infested/infected area. Further, it is recommended that whenever possible material that has been cut down should be chipped or buried rather than left intact (Mayfield 2008).

Based on the current rate of spread (estimated to be about 20 miles per year), the known distribution of redbay, and regional climate projections, Koch and Smith (2008b) have extrapolated probable spread of this disease through 2040 (fig. 16.5). According to their projection, the disease complex will have reached its northern extent (host based) by 2020, and will reach the western extent of its host range in eastern Texas by 2040. The basis of their projections is the combination of redbay’s natural range and climatic barriers that affect the vector and fungus, which will likely stall further progress of the disease in the South. Their caveat is that projections are limited to the redbay host.

Unanswered at this point in time is whether this fungus/vector complex could become established in other parts of the country on other lauraceous hosts (such as the California laurel) should fungus-carrying beetles be introduced into potential new host ranges. Further, potential for affecting the spread of and possibly controlling some of the loss through implementation of the Recovery Plan for Laurel Wilt on Redbay and Other Forest Species (Mayfield and others 2009) is as yet an unknown factor in the management of this disease.

Unfortunately, in 2009, laurel wilt was detected in the Sand Hill Crane National Wildlife Reserve in southern Mississippi—a location that was not predicted by Koch and Smith (2008b) for infection until about 2017—apparently through human introduction. Regardless whether this is a new introduction or movement from the east coast infected area, it has reduced by 8 years the disease’s expected arrival in Texas.

Of concern is whether the disease might expand its host range under the influence of climate change or through a modification of the fungus/vector complex that would allow a new insect vector to become involved. If either occurs, there is strong potential for currently unpredicted involvement of new hosts and unpredicted spread; newness of this complex in the South leads to extreme uncertainty when attempting to project future behavior.

Given the rapid and severe damage done to the infected hosts coupled with predicted shifts in coastal vegetation resulting from projected temperature increases and possibly decreasing precipitation, the potential of this disease to spread beyond its projected range is highly uncertain.

Figure 16.4—Distribution of counties with laurel wilt disease by year of initial detection and as confirmed through laboratory analysis of host samples collected in the counties affected; updated September 12, 2011 Figure 16.4 (Legend)
Figure 16.4—Distribution of counties with laurel wilt disease by year of initial detection and as confirmed through laboratory analysis of host samples collected in the counties affected; updated September 12, 2011 (adapted from Reid and others 2011). Note: This map is undergoing rapid change due to the ongoing expansion of the range of this disease. The most current map can be found at: http://www.fs.fed.us/r8/foresthealth/laurelwilt/dist_map.shtml.

Figure 16.5—Probable spread of laurel wilt disease from 2006 to 2045, based on the current rate of spread and known distribution of the redbay host. (Source: Koch and Smith 2008b) Figure 16.5 (Legend)
Figure 16.5—Probable spread of laurel wilt disease from 2006 to 2045, based on the current rate of spread and known distribution of the redbay host. (Source: Koch and Smith 2008b)

Oak decline—Because of the history of woods grazing, widespread wildfire,and exploitive logging for wood products, and the loss of American chestnut to chestnut blight, oaks probably represent a larger component of the southern forest ecosystem today than at any time in the past (Millers and others 1990).

Decline of oaks in upland hardwood and mixed oak-pine forests is a complex involving environmental stressors (often drought), root diseases, insect pests of opportunity such as the two-lined chestnut borer (Agrilus bilineatus), introduced pests such as the Japanese beetle (Popillia japonica) and Asiatic oak weevil (Cyrtepistomus castaneus), and physiological maturity of the trees (Staley 1965, Wargo 1977, Wargo and others 1983). Bottomland oak forests are also subject to oak decline but at a lower incidence. Stress agents of bottomland hardwoods also include seasonal, sometimes prolonged flooding.

Decline progression is measured in decades rather than months or years. Introduction of the gypsy moth into northern parts of the region has worsened oak decline because oaks are preferred hosts, and spring defoliation contributes to the chain of events that increase susceptibility. Although decline development may take decades from inception to the appearance of visible symptoms, susceptible trees die within a few years after dieback exceeds a third of the crown volume. Not all affected trees reach this point. Species in the red oak group (particularly black and scarlet oaks) are most susceptible. Hickories are the only non-oak species group commonly observed with symptoms in decline areas (Starkey and others 1989).

Forest workers have reported oak decline occurrences since the mid-1800s (Balch 1927, Beal 1926) and in every decade since the 1950s (Millers and others 1990). A severe drought in the 1950s may have led to the current cohort of trees being highly susceptible to oak decline (Dwyer and others 1995, Tainter and others 1990). Also, within about 60 years after the loss of American chestnuts in the Southern Appalachians, the oaks that replaced them began to decline and dieback, due in part to growth stress from sites better adapted to chestnuts. Significant oak decline episodes continue to occur in the region (primarily in Arkansas and Virginia) where predisposing conditions, inciting events, and contributing factors are coincident (Gysel 1957, Oak and others 1988, Starkey and others 2000).

With increased temperature and (possibly) less rainfall being predicted, oak decline is expected to increase, possibly significantly. Decline resulting from the stresses imposed should be contributory to elimination of oak in some drier areas, and it is uncertain what community of plants would replace the oak on these sites.

Oak wilt—Oak wilt is a vascular wilt disease of oaks that is found only in North America. The causal fungus, Ceratocystis fagacearum, was first identified in Wisconsin in 1942. Scientists believed the disease to be native to North America and to have been present long before its discovery (MacDonald 1995, Tainter and Baker 1996). Recently, strong speculation has been voiced that the fungus is actually a nonnative introduction, possibly from South America where it occurs without causing disease (Juzwick and others 2008). Oak wilt occurs in 21 Central and Eastern States (Rexrode and Brown 1983); 9 of the 13 Southern States are known to harbor the disease, but severe mortality is limited to a recent outbreak in central Texas (Ward and Mistretta 2002).

Oak wilt causes affected trees to wilt and usually to die. All species of oak are susceptible, but species in the red oak group—northern red (Quercus rubra), scarlet (Q. coccinea), and black (Q. velutina) oak—are most readily killed. Oaks in the white oak group—white (Q. alba), post (Q. stellata), and chestnut (Q. prinus) oaks—are infected but mortality occurs much less frequently and more slowly. Live oaks (Q. virginiana) die at a rate generally intermediate between red and white oaks.

Sap-feeding beetles can carry fungal spores to nearby healthy trees, the fungus can colonize neighboring uninfected trees by growing through root grafts, and human mediated transmission is also possible (moving infected firewood with intact bark allows fruiting of the fungus in areas currently not infected).

It is unclear whether the north-to-south progress of the disease was halted by a temperature barrier that limits migration of the fungus. The existence of such a barrier could mean that the Texas outbreak is the result of a relatively recent adaptation of the fungus to a higher temperature regime or an adaptation to the hosts (live oak) attacked in that area. Regardless of what caused the recent surge in oak wilt activity in Texas, its rapid spread raises the practical question of whether the fungus can now spread throughout the uninfected areas from Louisiana to Georgia and Florida. We anticipate that this question may be answered within the next 10 to 20 years as the disease appears to be spreading (or being spread by humans) at a fairly rapid rate.

Increasing soil temperature might provide a further barrier to spread, if indeed temperature has been a barrier. Predicting the direct effects of temperature and atmospheric carbon dioxide on this disease will require an understanding of the pathogen-host mechanisms at play: whether damage to the root system is sufficient to cause symptoms and death, or whether the fungus must grow from the root system (where most of the transmission is occurring) into and throughout the vascular system aboveground to cause the same effect.

Little can be said with any degree of certainty about possible insect transmission of this disease. Consistent but inefficient transmission by sap-feeding beetles (Nitidulids and Scolytids) is an accepted mode of spread. Shothole borers have also been suggested, but these, and other possible insects, are less accepted. Longer periods of activity of these insects, resulting from the lengthening of summers (already being observed), could greatly increase transmission. However, this increase could only occur if fruiting mats of the fungus (which, in Texas, is associated with cooler and moister fall, winter and spring conditions; not the anticipated conditions) were present during the time in which the insects are active. Unless increased temperature triggers more mat formation than has been historically reported in Central Texas (unlikely), it is not expected that additional insects would become significant carriers of the fungus to uninfected trees. Possible loss of some coastal forest to savanna should have only a slight impact: simply reducing the number of hosts lessens disease incidence.

Management of this disease has proven to be expensive and is generally reserved for high value (aesthetically desirable) trees. Given the apparent adaptation of the fungus to warmer temperatures and relatively dry conditions, and the limitations of control tactics available, there is a high probability of significant oak loss in previously unaffected areas along the Gulf of Mexico and in Georgia within 50 years. However, if the apparent adaptation to warmer and drier conditions proves inadequate for continued disease spread, we would expect an overall slight lessening of the impact of oak wilt in the South.

Sudden oak death—First reported in California in 1995, sudden oak death (SOD) is now a well-established pest with a fairly limited range in California and Oregon. However, despite this relatively limited current range, it is believed that if introduced into the eastern oak forest the consequences could be dire.

Literature relating to this disease is extensive, but has recently been reviewed (Kliejunas 2010) and much of what follows has been extracted from or cross checked with that review to limit the number of citations included here. This publication, which includes a 58 page bibliography of relevant literature, is available on the internet at http://www.fs.fed.us/psw/publications/documents/psw_gtr234/.

Sudden oak death is caused by Phytophthora ramorum, a fungus, which causes several nonspecific symptoms depending on the host and host part affected. Symptoms include stem or bole cankers, twig blight (dieback), and leaf blight. Individual plant species can display more than one or only one symptom type (see http://rapra.csl.gov.uk/background/hosts.cfm for links to images of symptoms on a variety of hosts).

Cankers appear in the phloem (tissues that carry sugars away from the leaves of a tree) which may be discolored a bright red, and spread until they reach the xylem (tissues that carry water and minerals up from the root; wood fiber). Cankers are sunken, “bleed” sap, and are generally restricted to the lower portion of the tree trunk. The amount of bleeding is variable even on a single tree and may be related to environmentally available water and the age of the canker. Decline symptoms (loss of leaves) and crown death first appear at the top of the tree and spread rapidly down through the crown often resulting in tree death (Garbelotto and others 2001).

The list of hosts currently reported for this pest is extensive. As of 2010 the list includes 45 proven regulated hosts plus another 82 associated hosts regulated in the nursery trade (USDA Animal and Plant Health Inspection Service 2010a). Hosts with stem or branch cankering include California tanoak (Lithocarpus densiflora), coast live oak (Quercus agrifolia), California black oak (Quercus kelloggii), and Shreve’s oak (Quercus parvula var. shrevei). In addition, field and greenhouse inoculation experiments (Rizzo and others 2002) confirm that the fungus can cause a variety of leaf and branch symptoms, but generally not stem cankering, on rhododendron and azalea (Rhododendron spp.), madrone (Arbutus menziesii), huckleberry (Vacinium ovatum), manzanita (Arctostaphylos sp.), California bay laurel (Umbellularia californica), buckeye (Aesculus californica), bigleaf maple (Acer macrophyllum), toyon (Heteromeles arbutifolia), California coffeeberry (Rhamnus californica), honeysuckle (Lonicera hispidula), and a long list of other plants.

Although few of these species occur in eastern forests, several of them can be found in significant numbers. Early results by Rizzo and others (2002) show that northern red oak and pin oak (Q. palustirs) are susceptible to infection. In California greenhouse tests, seedlings of both eastern oak species developed lesions almost twice as long as those formed on the oak seedlings from Pacific coastal areas and roughly equal to those formed on tanoak (considered the most susceptible species in California). These results suggest that, all conditions being equal, these species should be highly susceptible to sudden oak death.

Kliejunas (2003) rated the risk posed by this disease as very high, but cautions that the degree of uncertainty related to future disease risk is also high based on lack of knowledge about the host range. Noting the absence of control measures, his risk assessment predicts rapid spread by wind, water, and human transport of infected plants; and suggests the potential for severe economic and ecologic losses, reductions in biodiversity, and indirect impacts on sensitive or critical habitat for at-risk plant and animal communities.

Based on past history with invasive species, it is easy to project that it is not a matter of “if,” but “when,” sudden oak death will gain a foothold in eastern oak forests (see alternative hypothesis below as “Note”). If the disease reaches southern forests, the role that climate would play is far from certain. Also uncertain, lacking basic epidemiological research, is the potential effects on eastern species; these could range from insignificant to potentially catastrophic (rivaling the effects of chestnut blight).

Sudden oak death appears to have the potential to devastate the eastern oak population, even absent climate change considerations (Kliejunas 2010, chapter 4). Increased temperatures and atmospheric carbon dioxide could be expected to increase growth of both the pathogen and its host, at least in the short term. That effect would be somewhat counteracted by reductions in precipitation and increased ozone in conjunction with the warmer temperatures. Nevertheless, once acclimated to the eastern forest, the disease would probably spread even faster than it has in California.

Using the distribution of known or likely hosts, climate conditions adequate for the survival and propagation of the pathogen, and probable pathways of introduction of the disease outside of its current range Koch and Smith (2008a; fig. 16.6) project a potential range for this disease. Very similar potential range is indicated by DEFRA, Fowler and others, and Margary and others. Kelly and others and Venette and Cohen propose somewhat different potential ranges but both include significant Southern forest areas (Kliejunas 2010, chapter 4).

Climate-induced losses of native oaks at their southern margins (Iverson and others 1999) would reduce the potential incidence of disease, but only slightly, and would not slow the progress of the disease in other parts of its potential range. Sturrock and others (2011) state that, based on CLIMEX projections, changing climate will decrease substantially the area in the Eastern United States favorable or very favorable for P. ramorum.

During technical review of this paper, one reviewer (2011) noted that to the present this disease has only been found in the woods in a very narrow geographic range in coastal California and Oregon; generally extending no more than 50 miles inland. It has yet to be confirmed as being established in other than West Coast forests despite the pathogen having been identified from diseased nursery plants shipped from California to many northern, eastern and southern nurseries. In addition, the fungus has been found in the East in water in the nurseries and in a limited number of cases in waters in ditches or outflow conduits outside those nurseries. The inference from these statements opposes the previously suggested scenario of explosive colonization of a susceptible population by a non-native pest. The risk maps presented by Kliejunas (2010, chapter 4) from a variety of sources and using a range of predictive models show clearly the narrow, basically coastal range (present and predicted) for this disease in California and Oregon but also show a significantly larger area at risk in the eastern and southern forests.

Based on this conflicting information the future of sudden oak death is unclear at the present. However, what is clear is that if it is introduced into the East its invasive spread will override climate change concerns during the next 50 years.

Figure 16.6—Potential range for sudden oak death in the contiguous United States based on the distribution of known or likely hosts, climate conditions adequate for the survival and propagation of the pathogen, and probable pathways of introduction of the disease outside of its current range. Figure 16.6 (Legend)
Figure 16.6—Potential range for sudden oak death in the contiguous United States based on the distribution of known or likely hosts, climate conditions adequate for the survival and propagation of the pathogen, and probable pathways of introduction of the disease outside of its current range. (Source: Koch and Smith 2008a).

Thousand cankers disease—Thousand cankers disease of is caused by a fungus (Geosmithia morbida) (Kolarik and Freeland 2010) and vectored from infected to healthy trees by the walnut twig beetle, Pityophthorus juglandis (Seybold and others 2010). The beetle is native to Arizona, New Mexico, on Arizona and California (also probably Texas). First identified on Arizona walnut, Juglans major, the fungus is also associated with cankering and dieback of J. californica and J. hindsii (Kolarik and Freeland 2010). The fungus infects and subsequently kills black walnut, Juglans nigra, a species that is highly valued for furniture, paneling, and walnuts.

Thousand cankers disease was recently discovered and confirmed in urban/suburban settings in 4 Tennessee counties (with suspect trees occurring in similar settings in an additional 10 counties); as yet no woodland or forest surveys have been conducted. Although the Tennessee infections were the first reported east of the Great Plains, they may have been occurring since the 1990s. The full extent of this infection is as yet to be determined.

Symptoms of the disease include a foliage wilt in which the leaves progress rapidly from green through yellow and then to brown. Wilting progresses from the top of the crown downward as branches die. In the West, the dieback and ultimate death of infected trees takes about three years. Symptoms at first (and certainly when observed at a distance) resemble those caused by drought. Closer inspection of dead branches reveals many beetle entry holes through the bark and many (often small) cankers just under the bark. As cankers increase in number and each grows bigger until the areas of dead tissue coalesce and girdle the branch. In the later stages of dieback the beetles may attack the bole of the tree accelerating its death (Seybold and others 2010).

Control measures for thousand cankers disease have been proposed but not yet evaluated. Because the current range of the fungal pest is generally hotter and drier than Tennessee’s climate, the disease is highly unlikely to encounter temperature barriers that would limit its spread into southern forests. And predicted a warming climate is likely to have little effect; the pathogen and vector originated in a hot dry area of the Southwest but both have moved into the cooler, moister climate of central Tennessee. Finding no barriers to spread, thousand cankers disease could occupy the entire range of black walnut within 50 years, similar to the projected spread of laurel wilt.

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Additional Concerns

Although we can make relatively uncertain predictions about the future of known pests, predicting currently endemic organisms that may become pests or organisms from other locations that may invade the South is virtually impossible. Lovett and others (2006) predict that forest pests will be the primary source of changes in eastern forests but cautioned against speculation on specific changes or specific pest introductions.

An important consideration is human caused change in the forest land base driven by increasing and shifting populations and economic conditions. As shown in chapter 5, all of the Cornerstone Futures forecast that total forest acreage will decline over the next 50 years, only planted pine is expected to expand, the oak-hickory type is expected to remain relatively stable, but the three other forest types considered are expected to decline. Additionally, total forest biomass is expected to increase at first but then decline somewhat.

A generalized implication of these potential shifts is relatively straightforward. Because pest activity appears to be basically a linear response to availability, less biomass would indicate less (in absolute terms) loss of biomass to pests. However, planted softwoods would be expected to show an increase in absolute loss proportional to the increase in planted acreage.

The possible effects of fragmentation, parcelization, and urbanization on pest impacts and management are so complex (and largely unknown) that it is not prudent or feasible to attempt to identify specific interactions. Generally, parcelization (greater number of landowners on smaller units of land) may complicate pest prevention and/or suppression by making it more difficult to attain effective management on significant acreages due to the greater number of landowners involved. On the other hand, fragmentation and urbanization would interrupt or decrease the amount and continuity of host species, thereby potentially decreasing the spread and impacts of pests.

We expect continuing introduction (through international and domestic commerce and tourism) of nonnative insects and diseases which could become pests of forest trees, despite imposition of inspections and quarantines. Which organisms might be introduced, and then which of these might become pest species is the source of significant speculation, but is relatively unpredictable.

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Discussion and Conclusions

Future Considerations for Pest-Host Relationships

Planned adaptation (Spittlehouse and Stewart 2003) should reduce vulnerability for commercial tree species at selected sites. However, many forest species will have to adapt autonomously and society will have to adjust to the result (Winnett 1998). Forest pest distribution changes caused by climate change are likely closely tied to shifts in host distribution (Sturrock 2007).

Some ecosystems are expected to be new: new communities of tree and plant species with different suites of insects and pathogens. If forests do remain on a particular site, similar functional types of insects and pathogens are likely to remain, although they may be include different species than at present (Beukema and others 2007). Pathogens expanding their ranges and contacting ‘new’ hosts and vectors may mean that new pathosystems probably will emerge. Interactions between pathogens may change (Sturrock 2007).

Climate change may amplify the impact and aggressiveness of pathogens or alter the balance between pathogens and their natural enemies; it may also change the status of weak/opportunistic pathogens such that they are able to infect and damage stressed tree hosts (Sturrock 2007).

Tree decline is likely to increase in a warmer and drier climate, regardless of inputs from diseases and insects. The effect of warmer and drier climate is to stress trees used to a cooler and moister regime. This stress alone should cause an increase in the incidence of declining trees, but compounded by the presence of opportunistic insects and pathogens, there is a strong possibility that this increase in declining trees could be significant. Increasing incidence of decline should eventually diminish as new adapted ecosystems form in the region, but this is not expected to occur within the next 50 years.

Almost every study and review of climate change effects on forests has a common caveat—the complexity of the ecosystems and pest systems, about which relatively little is known (Sturrock 2007). The difficulty in predicting the future of plant disease is highlighted by Woods and others (2005), who report on an endemic needle blight fungus (Mycosphaerella pini) that previously had only minimal impact on native forest trees in British Columbia. However, recently, in apparent response to a local increase in summer precipitation, this disease has been causing extensive mortality of lodgepole pines. While admitting that establishing causality of the increased virulence of this endemic pathogen is fraught with risk of misinterpretation of the evidence, they indicate the link to precipitation (while dismissing warmer temperatures) appears to be far greater than “circumstantial.” No prior indication of this shift to virulence appears in the literature—the event was unprecedented, unpredicted, and possibly unpredictable. In partial confirmation, Sturrock (2007) notes that wetter springs in some regions may result in increased foliage diseases without venturing to predict subsequent possible host/pest scenarios.

Endemic root rot fungi (Inonotus schweinitzeii, I. tomentosus, or Ganoderma spp.), which currently cause limited damage, or insects such as engraver beetles or species of wood borers could become important management concerns or could fade into obscurity from a management standpoint. The fungi that cause littleleaf disease, sudden oak death (Brasier and Scott 1994), and other infections are predicted to increase their activity in temperate zones in the Northern and Southern Hemispheres as they migrate away from the tropics. Under changing climatic conditions these fungi are expected to cause more damage to existing urban and forest tree hosts in the South and to expand the number of species they can infect. Expected to be especially prevalent and damaging are those, like the littleleaf disease fungus, that can grow in temperatures higher than 28 oC (Broadmeadow 2005).

Increased drought stress on hosts may mean increased mortality from root pathogens. Pathogenic Armillaria spp. fungi may be assisted by the impairment of host tolerance caused by climate change-induced stress: this may enable less pathogenic fungi to become more successful on stressed trees (Sturrock 2007). Incidence of oak and beech decline, highly complex disorders, is likely to increase if the predicted frequency and severity of summer drought stress prove accurate (Broadmeadow 2005).

A changing climate with increased temperatures, increased evapotranspiration, and extreme weather events would increase the frequency and severity of stress factors, which may lead to more frequent forest declines (Sturrock 2007). Pathogen evolution could be accelerated by mutation resulting from increased sunlight or increased reproduction rates (shorter life cycles under higher temperatures) that could lead to host resistance being overcome more rapidly (Coakley and Scherm 1996).

Based on these occurrences and trends, the following basic patterns have emerged on which we have built our projections of future impacts of pests:

  • The current emphasis on longleaf pine restoration, coupled with increasing temperature and decreasing rainfall should result in a measurable shift in the population distribution of southern yellow pine types, both spatially and numerically.
  • Boreal forest species are expected to have reduced ranges in the South due to the combined effects of increased temperature and decreased available water.
  • Pests associated with southern host species are expected to migrate with their hosts with few exceptions. The exceptions are those pests that already occur throughout the South and extend into the northern part of the United States.
  • Although long-term projections suggest that coastal savannah will replace forests in many coastal and coastal-plain locations, the progress of this change within the next 50 years is not expected to be severe.
  • Most root rotting diseases are expected to respond aggressively to the combination of warmer soil temperature and reduced precipitation. This combination of heat and drought is expected to result in an increase in dieback and decline among many tree species, often providing further stress that could act as a precursor to successful invasion/colonization by root rotting fungi. Newly stressed trees also may become the focus of insect attack.
  • Trees suffering long-term stress may prove to be more resistant to secondary pest attack because of lower physiological activity and reduced availability of resources needed by pest organisms.
  • Tree diseases which affect primarily stem and branch tissue are subject directly to the potential effects of warmer temperatures and a drier environment. At first, warmer temperatures and increased carbon dioxide in the atmosphere are expected to have a stimulatory effect on both host and pathogen. However, the anticipated lower availability of water should generally function more against the host plant than the fungi infecting it, favoring an increase in disease. This assumes that the temperature increase does not exceed the thermal death point of the fungus or its spores.
  • Foliage attacking fungi are subject to significant pressure from light and the microclimate in the host’s leaves. Although significant loss of spore viability is common on the upper surface of leaves, any change in the amount of sunlight will normally alter the survival rate; more sunlight results in lower spore survival and less successful infection and vice versa. The microclimate of the underside of leaves is also critical to the success of foliar pathogens. Lower atmospheric moisture resulting from less rainfall, fog, and dew (with a secondary effect of reduced secretion of liquids) is expected to reduce the effectiveness of colonization by leaf-infecting fungi.
  • Longer and warmer summertime temperatures are expected to increase pathogen and insect activity. Insect populations may show simple increases in number due to the availability of additional host material on which to browse, or may be able to produce an additional generation each year.

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Managing Pests Under Changing Conditions

Many land-management decisions made today are based on the assumption that the climate will remain relatively stable throughout a forest’s life—an assumption that may have worked well in the past but is being challenged by climate change. Even without a clear view of the future climate and forest, it is possible to develop adaptive strategies now. Adaptation in forest management requires a planned response well in advance of the impacts of climate change (Spittlehouse and Stewart 2003). This is especially important when the rotation periods are long (Lemmen and Warren 2004).

Changes in climate, especially if they lead to greater variability among and within regions, tend to add extra uncertainty to decision making (Garrett and others 2006). Burton and others (2002) appear to contest the conclusion of Spittlehouse and Stewart (2003) cited above with their conclusion that development of adaptation measures for some time in the future, under an uncertain climate, in an unknown socioeconomic context is bound to be highly speculative. Not so; reconciling the apparent contradiction here is the necessity that best professional judgment rather than proven science be brought to bear on planning for an uncertain, but generally predicted future.

Adaptive strategies include resilience options and response options. Mitigation options include options to sequester carbon and reduce overall greenhouse gas emissions (Millar and others 2007). Coping strategies for one disturbance type are often appropriate management responses to other disturbance types. Before disturbance occurs forests can be managed to reduce vulnerability or to enhance recovery. Trees can be planted that are less susceptible to disturbance. Species that promote disturbance can be removed (Dale and others 2001). Millar and others (2007) propose the following generalized strategies:

  • Improve resistance in hosts: From high-value plantations near to harvest to high-priority endangered species with limited available habitat, maintaining the status quo for a short time may be the only or the best option. Resistance practices seek to improve forest defenses against direct and indirect effects of rapid environmental changes by reducing the undesirable or extreme effects of fires, insects, and diseases. Because they may require intensive intervention, these options are best applied only in the short-term.
  • Promote resilience to change: Resilient forests are those that not only accommodate gradual changes related to climate but also tend to return toward a prior condition after disturbance, either naturally or with management assistance. Promoting resilience is the most commonly suggested adaptive option discussed in a climate change context. This process may also become intensive as changes in climate accumulate over time.
  • Enable forests to respond to change: These adaptation options intentionally accommodate change rather than resist it. Treatments implemented would mimic, assist, or enable ongoing natural adaptive processes such as species dispersal and migration, population mortality and colonization, community composition and dominance within communities, and disturbance regimes. Some potential practices include: (1) Increase redundancy and buffers, manage for asynchrony, realign significantly disrupted conditions, and use establishment phase to reset succession; (2) Establish “neo-native” forests, experiment with refugia, and promote connected landscapes; (3) Develop indicators as a prerequisite for any kind of decisionmaking and surveillance networks to assess spatial and temporal evolution of diseases and improve epidemiological models; (4) Take an anticipatory and preventive approach based on risk analysis when addressing disease management in forest ecosystems (even more so than for crops), avoid total reliance on one or two control strategies (as Hain [2006] recommended when discussing the unsatisfactory results of balsam woolly adelgid control efforts), and anticipate surprises and threshold effects.

Disease management options could be altered (Coakley and others 1999) or imposed. For example, although it is known that movement of firewood, nursery stock, and even family trailers and boats is responsible for the transport of many species, there is no cohesive strategy for addressing this problem (Moser and others 2009). Other actions proposed for managing insects and diseases include:

  • Avoid dissemination of pests into climatically favorable zones where they could find naïve host populations by practicing strict hygiene measures, based on the most probable dissemination pathways of organisms (in seeds, wood, and plants).
  • Reduce vulnerability to future disturbance by managing tree density, species composition, forest structure, and location and timing of activities (Dale and others 2001).
  • Increase light, water, and nutrient availability to the uninfected/uninfested trees and decrease susceptibility to pest attack by practicing precommercial thinning, sanitation removal, or selective removal of suppressed, damaged, or poor quality individuals (Gottshalk 1995, Papadopol 2000, Wargo and Harrington 1991).
  • Underplant with other species or genotypes in forests where the current composition is unacceptable as a source of regeneration (Spittlehouse and Stewart 2003).
  • Shorten rotations to reduce the period of stand vulnerability to insect or disease attack, and replant to speed the establishment of better-adapted forest types (Gottshalk 1995; Parker and others 2000).
  • Use pesticides in situations where silvicultural or other means of pest management are ineffective (Parker and others 2000); however, because morphological or physiological changes in the host resulting from increased carbon dioxide uptake could affect uptake, translocation, and metabolism of systemic fungicides (Coakley and others 1999), incorporate integrated pest management practices.
  • Expand and improve existing monitoring efforts to include an expected increase in the number of new, introduced plant diseases (Sturrock 2007).
  • Assist in the migration of forests, by introducing carefully selected tree species (including using biotechnology techniques in some situations) in regions beyond their current ranges, being mindful of the potential for unforeseen consequences.

With respect to nonnative invasive species management, Moser and others (2009) recommend five priorities: (1) promoting education and awareness, (2) expanding early detection and active management and intensifying enforcement of quarantines, (3) building the capacity to increase understanding of and treatments for NNIS control, (4) strengthening the basic forest health curriculum, and, (5) encouraging cross agency collaboration and investment.

Although the process of planning and acting to prepare for a future most probably affected by climate change is fraught with uncertainty, not planning and acting will likely result in greater economic and social disruption. Success can only be achieved if those in environmentally sensitive management roles are well informed and exercise their best judgment.

The single consistent theme throughout the literature on pest impacts and climate change is that minimizing ecological change (and disruption) requires maximum possible biodiversity, either through a system of protected refugia or by direct adaptive management for specific characteristics.

Differing perceptions of risk and adaptation may lead to increased tension among various groups. Conflicting priorities and mandates could also lead to future problems (Lemmen and Warren 2004). In these situations, care must be taken to adopt a decisionmaking process that identifies and evaluates all issues and employs the best ecological science.

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Knowledge and Information Gaps

As should be clear from the above discussion of current knowledge and from our projections of the future activity of known pests, huge uncertainty dominates the subject of pest management and climate change, with significant gaps existing in baseline knowledge making any generalized quantitative modeling of future conditions impossible. Although some specific pest behaviors have been projected, most of them are qualitative. Lacking generalized and often specific baseline data leaves modeling (quantitative projection) a desired tool whose time has yet to come. Currently unavailable data that would contribute to a generalized projection of potential future pest activity in forests (Beukema and others 2007; Chakraborty and Datta 2003; Hain 2006; Lemmen and Warren 2004; Logan and others 2003; Mamlstrom and Raffa 2000; Rogers and others 1994; Scherm 2004; and, Seem 2004) include:

Information on host biology and response to pests: the role of changing secondary metabolites (primarily phenols or phenol-like) under changing environmental conditions; the functional components of respiration (construction, maintenance, and ion uptake) as well as carbon costs due to root exudation; the role of water in tree health; the genotypic variability and plasticity of hosts; water balance threshold as it affects direct mortality of host plants, the effects of climate change on host defensive mechanisms (physiological, morphological, or other); the impact of climate change on biodiversity and the role of biodiversity in ecosystem functions and pest management/prevention; and, projections of host migration and availability under the influence of climate change.

Information on forest pests: current distributions and ranges of pests; influence of mycorrhizae on plant health under climate change; direct and indirect effects of carbon dioxide, ozone, and UV-B on roots and root-surface microfloras under natural conditions; knowledge of insects and pathogens from outside the area such as Mexican bark beetles and various Asian insects; mechanisms by which changes in carbon dioxide and precipitation alter pest survival, growth, susceptibility and interactions

Information to add clarity and specificity on pest/host interactions: dispersal structure and distance and interconnectedness of temperature, phenology and pest population growth rate; phenological relationships among trees and pests; role of climate on insects and pathogens in relation to available water; baseline data on pests of natural populations that identify the separate of multiple climate variables and problems they cause (including forecasts of epiphytotics or epizootics, and evaluations the role of evolution); pest/predator interactions and responses, relationships among climate, pests, and their parasites; minimum and maximum temperature preferences of pests and pest/host interactions and response to temperature extremes; protocol for identifying the “drivers” that transform new insects and diseases into pests; disturbance regimes and their interactive impacts; and, synergies among fire, insects, and pathogens.

Models and modeling protocols needed: models that incorporate local meteorological data; improved spatially-explicit climate predictions at finer scales (average daily patterns and projected variations from the average); effects of down-scaling or up-scaling data from various models and appropriate linking tools for increasing the accuracy of these predictive processes to be more accurate predictors; functional group rather than single-species models; and, predictive models that incorporate data on disturbances and disturbance impacts.

Management information needed: a new protocol for addressing the research needs of invasive forest pests that involves all stakeholders in a coordinated partnership; and management action plans developed in the face of no-analog vegetation systems and climate change.

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Acknowledgments

Our appreciation is extended to Christopher Asaro, Virginia Department of Forestry; Matthew P. Ayres, Biological Sciences Department, Dartmouth College; Fred P. Hain, Department of Entomology and Frank Koch, Department of Forestry and Environmental Resources, North Carolina State University; Edward L. Barnard, Florida Division of Forestry; Ronald F. Billings and Donald M. Grosman, Texas Forest Service; Scott Cameron and James Johnson, Georgia Forestry Commission; Stephen R. Clarke, John A. Ghent, William E. Jones, Bruce D. Moltzan, Derek Puckett, James D. Smith, Dale A. Starkey, and Borys M. Tkacz, Forest Health Protection, Susan J. Frankel, Pacific Southwest Research Station, and Kier Klepzig, Albert E. ‘Bud’ Mayfield, III, Daniel Miller, William J. Otrosina, and A. Daniel Wilson, Southern Research Station, U.S. Department of Agriculture, Forest Service.

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Literature Cited

Anagnostakis, S.L. 1978. The American chestnut: new hope for a fallen giant. Bull. 777. New Haven, CT: Connecticut Agricultural Experiment Station. 9 p.

Anderson, R.L.; Powers, H.; Snow, G. 1980. How to identify fusiform rust and what to do about it. For. Bull. SA–FB/P24. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State and Private Forestry, Forest Insect and Disease Management. 12 p.

Andreadis, T.G.; Weseloh, R.M. 1990. Discovery of Entomophaga maimaiga in North American gypsy moth, Lymantria dispar. Proceedings of the National Academy of Science (U.S.). 87: 2461–2465.

Antipin, J.; Dilley, D. 2004. Chicago vs. the Asian longhorned beetle: a portrait of success. Misc. Publ. MP-1593. Washington, DC: U.S. Department of Agriculture Forest Service. 51 p.

Applegate, H.W. 1971. Annosus root rot mortality in once-thinned loblolly pine plantations in Tennessee. Plant Disease Reporter. 55: 625–627.

Asaro, C.; Fettig, C.J.; McCravy, K.W. [and others]. 2003. The Nantucket pine tip moth: a literature review with management implications. Journal of Entomological Science. 38: 1–40.

Balch, R.E. 1927. Dying oaks in the Southern Appalachians. Forest Worker. 3(7): 13.

Batzer, H.O.; Morris, R.C. 1978. Forest tent caterpillar. Forest Insect and Disease Leaflet 9. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p.

Beal, J.A. 1926. Frost kills oak. Journal of Forestry. 24: 949–950.

Bentz, S.E.; Riedel, L.G.H.; Pooler, M.R.; Townsend, A.M. 2002. Hybridization and self-compatibility in controlled pollinations of eastern North American and Asian hemlock (Tsuga) species. Journal of Arboriculture. 28: 200-205.

Berisford, C.W. 1988. The Nantucket pine tip moth. In: Berryman, A.A., ed. Dynamics of forest insect populations: patterns, causes, and implications. New York: Plenum Publishing Corp.: 141–161.

Beukema, S.J.; Robinson, D.C.E.; Greig, L.A. 2007. Forests, insects and pathogens and climate change: workshop report. Prineville, OR: The Western Wildlands Environmental Threat Assessment Center. 20 p. http://www.fs.fed.us/wwetac/workshops/Forest%20Pests%20and%20Climate%20Report.pdf. [Date accessed: November 22, 2010].

Billings, R.F. 1980. Direct control. In: Thatcher, R.C.; Searcy, J.L.; Coster, J.E.; Hertel G.D., eds. The southern pine beetle. Tech. Bull. 1631. Washington, DC: U.S. Department of Agriculture Forest Service, Expanded Southern Pine Beetle Research and Applications Program: 178-192.

Billings, R.F.; Kibbe, C.A. 1978. Seasonal changes between southern pine beetle brood development and loblolly pine foliage color in eastern Texas. Southwestern Entomologist. 3: 89–95.

Billings, R.F.; Upton, W.W. 2010. A methodology for assessing annual risk of southern pine beetle outbreaks across the southern region using pheromone traps. In: Pye, J.M.; Rauscher, H.M.; Sands, Y.; [and others], tech. eds. Advances in threat assessment and their application to forest and rangeland management. Gen. Tech. Rep. PNW-GTR-802. Portland, OR: U.S. Department of Agriculture Forest Service, Pacific Northwest and Southern Research Stations: 73-85. Vol. 1.

Boyce, J.S. 1961. Chestnut blight. In: Forest pathology. 3rd ed. New York: McGraw-Hill Book Co.: 285–292.

Brasier, C.M. 1991. Ophiostoma novo-ulmi sp. nov., causative agent of current Dutch elm disease pandemics. Mycopathologia. 115: 151-161.

Brasier, C.M.; Scott, J.K. 1994. European oak declines and global warming: a theoretical assessment with special reference to the activity of Phytophthora cinnamomi. Bulletin OEPP. 24(1): 221–232.

Broadmeadow, M.; Ray, D. 2005. Climate change and British woodland. Inf. Note 69. Edinburgh, United Kingdom: Forestry Commission. http://www.forestresearch.gov.uk/pdf/fcin069.pdf/$FILE/fcin069.pdf. [Date accessed: November 22, 2010].

Brown, H.D.; McDowell, W.E. 1968. Status of loblolly pine die-off on the Oakmulgee District, Talladega National Forest, Alabama-1968. Rep. 69–2–28. Pineville, LA: U.S. Department of Agriculture Forest Service, Forest Insect and Disease Management. 22 p.

Brown, H.D.; Peacher, P.H.; Wallace, H.W. 1969. Status of loblolly pine die-off on the Oakmulgee District, Talladega National Forest, Alabama-1968. Rep. 70–2–3. Pineville, LA: U.S. Department of Agriculture Forest Service, Forest Insect and Disease Management. 7 p.

Burton, I.; Huq, S.; Lim, B. [and others]. 2002. From impacts assessment to adaptation priorities: the shaping of adaptation policy. Climate Policy.
2: 145–159.

Cameron, R.S.; Billings, R.F. 1988. Southern pine beetle: factors associated with spot occurrence and spread in young plantations. Southern Journal of Applied Forestry. 12: 208-214.

Campbell, R.W.; Sloan, R.J. 1977. Forest stand responses to defoliation by gypsy moth. Forest Science Monograph 19. Forest Science. 23(Suppl.): 1–35.

Campbell, W.A.; Copeland, O.L., Jr. 1954. Littleleaf disease of shortleaf and loblolly pines. Circ. 940. Washington, DC: U.S. Department of Agriculture. 41 p.

Chakraborty, S.; Datta, S. 2003. How will plant pathogens adapt to host plant resistance at elevated CO2 under a changing climate? New Phytologist. 159: 733–742.

Chakraborty, S.; Murray, G.M.; Magarey, P.A. [and others]. 1998. Potential impact of climate change on plant diseases of economic significance to Australia. Australasian Plant Pathology. 27: 15–35.

Cherret, J.M. 1986. History of the leaf-cutting ant problem. In: Lofgren, C.S.; Vander Meer, R.K., eds. Fire ants and leaf-cutting-ants biology and management. Boulder, CO: Westview Press: 10–17.

Coakley, S.M.; Scherm, H. 1996. Plant disease in a changing global environment. Aspects of Applied Biology. 45: 227–238.

Coakley, S.M.; Scherm, H.; Chakraborty, S. 1999. Climate change and plant disease management. Annual Review of Phytopathology.
37: 399–426.

Conner, M.D.; Wilkinson, R.C. 1983. Ips bark beetles in the South. Forest Insect and Disease Leaflet 129. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p.

Cordell, C.E.; Anderson, R.L.; Kais, A.G. 1989. How to identify and control brown-spot disease on longleaf pine. Atlanta, GA: U.S. Department of Agriculture Forest Service, Southern Region. 10 p.

Coulson, R.N.; Flamm, R.O.; Pulley, P.E. [and others]. 1986. Response of the southern pine bark beetle guild to host disturbance. Environmental Entomology. 15: 859–868.

Cowles, R.S.; Montgomery, M.E.; Cheah, C.A.S.J. 2006. Activity and residues of imidacloprid applied to soil and tree trunks to control hemlock woolly adelgid (Hemiptera: Adelgidae) in forests. Journal of Economic Entomology. 99: 1258–1267.

Czabator, F.J. 1971. Fusiform rust of southern pines—a critical review. Res. Pap. SO–65. New Orleans: U.S. Department of Agriculture Forest Service, Southern Forest Experiment Station. 39 p.

Dale, V.H.; Joyce, L.A.; McNulty, S. [and others]. 2001. Climate change and forest disturbances. BioScience. 51: 723–734. http://www.usgcrp.gov/usgcrp/Library/nationalassessment/forests/bioone2.pdf. [Date accessed: November 22, 2010].

D’Arcy, C.J. 2005. Dutch elm disease. Saint Paul, MN: American Phytopathological Society. http://www.apsnet.org/edcenter/intropp/lessons/fungi/ascomycetes/Pages/DutchElm.aspx. [Date accessed: November 29, 2012].

Dilling, C.; Lambdin, P.; Grant, J. [and others]. 2010. Spatial and temporal distribution of imidacloprid in eastern hemlock in the Southern Appalachians. Journal of Economic Entomology. 103: 368–373.

Doggett, C.A.; Grady, C.R.; Green, H.J. [and others]. 1977. Seedling debarking weevils in North Carolina. For. Note 31. Raleigh, NC: North Carolina Forest Service, Department of Natural and Economic Resources. 15 p.

Drooz, A.T. 1985. Forest tent caterpillar. In: Insects of eastern forests. Misc. Publ. 1426. Washington, DC: U.S. Department of Agriculture Forest Service: 204-205.

Dull, C.W.; Ward, J.D.; Brown, H.D. [and others]. 1988. Evaluation of spruce and fir mortality in the Southern Appalachian Mountains. Rep. R8–PR 13. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State and Private Forestry, Forest Pest Management. 92 p.

Dwyer, J.P.; Cutter, B.E.; Wetteroff, J.J. 1995. A dendrochronological study of black and scarlet oak decline in the Missouri Ozarks. Forest Ecology and Management. 75: 69–75.

Eckhardt, L.G.; Goyer, R.A.; Klepzig, K.D. [and others]. 2004a. Interaction of Hylastes species (Gleeptera: Scolytidae) with Leptographium associated with loblolly pine decline. Journal of Economic Entomology. 97: 468–474.

Echhardt, L.G.; Jones, J.P.; Klepzig, K.D. 2004b. Pathogenicity of Leptographium species associated with loblolly pine decline. Plant Disease. 88: 1174-1178.

Emerald Ash Borer Information Network. 2010. Emerald ash borer information network. Lansing, MI: Michigan State University. http://www.emeraldashborer.info/index.cfm. [Date accessed: June 10, 2011].

Fitzgerald, T.D. 1995. The tent caterpillars. Cornell Series in Arthropod Biology. Ithaca, NY: Cornell University Press. 303 p.

Fraedrich, S.W.; Harrington, T.C.; Rabaglia, R.J. [and others]. 2008. A fungal symbiont of the redbay ambrosia beetle causes a lethal wilt in redbay and other Lauraceae in the Southeastern United States. Plant Disease. 92: 215–224.

French, D.W.; Ascerno, M.E.; Stienstra, W.C. 1980. The Dutch elm disease. Publ Ag-BU-0518. St. Paul, MN: Minnesota Extension Service, University of Minnesota. 10 p.

Friedenberg, N.A.; Sarkar, S.; Kouchoukos, N. [and others]. 2008. Temperature extremes, density dependence, and southern pine beetle (Coleoptera: Curculionidae) population dynamics in east Texas. Environmental Entomology. 37: 650–659.

Froelich, R.C.; Cowling, E.B.; Collicott, L.C. [and others]. 1977. Fomes annosus reduces height and diameter growth of planted slash pine. Forest Science. 23: 299–306.

Gan, J. 2004. Risk and damage of southern pine beetle outbreaks under global climate change. Forest Ecology and Management. 191: 61–71.

Garbelotto, M.; Svihra, P.; Rizzo, D. 2001. Sudden oak death syndrome fells 3 oak species. California Agriculture. 55(1): 9–19.

Garrett, K.A.; Dendy, S.P.; Frank, E.E. [and others]. 2006. Climate change effects on plant disease: genomes to ecosystems. Annual Review of Phytopathology. 44: 489–509.

Gottschalk, K.W. 1995. Using silviculture to improve health in northeastern conifer and eastern hardwood forests. In: Eskew, L.G., ed. Forest health through silviculture. Gen. Tech Rep. RM–267. Fort Collins, CO: U.S. Department of Agriculture Forest Service, Rocky Mountain Experiment Station: 219–226. http://www.fs.fed.us/rm/pubs_rm/rm_gtr267/rm_gtr267_219_226.pdf. [Date accessed: November 22, 2010].

Grassano, S.; Costa, S. 2008. Optimizing fungal production for hemlock woolly adelgid suppression [Abstract]. In: Onken, B.; Reardon, R. Fourth symposium on hemlock woolly adelgid in the Eastern United States. Publ. FHTET–2008–01. Morgantown, WV: U.S. Department of Agriculture Forest Service, Forest Health Technology Enterprise Team: 111. http://na.fs.fed.us/fhp/hwa/pubs/proceedings/2008_proceedings/fhtet_2008.pdf. [Date accessed: November 22, 2010].

Gysel, L.W. 1957. Acorn production on good, medium, and poor sites in southern Michigan. Journal of Forestry. 55: 570–574.

Hain, F. 2006. New threats to forest health require quick comprehensive research response. Journal of Forestry. 104(4): 182–186.

Hajek, A.E.; Humber, R.A.; Elkinton, J.S. [and others]. 1990. Allozyme and RFLP analyses confirm Entomophaga maimaiga responsible for 1989 epizootics in North American gypsy moth populations. Proceedings of the National Academy of Science (U.S.A.). 87: 6979–6982.

Hanula, J.L.; Mayfield, A.E., III; Fraedrich, S.W. [and others]. 2008. Biology and host associations of redbay ambrosia beetle (Coleoptera: Curculionidae: Scolytinae), exotic vector of laurel wilt killing redbay trees in the Southeastern United States. Journal of Economic Entomology. 101: 1276–1286.

Harrington, T.C.; Fraedrich, S.W.; Aghayeva, D.N. 2008. Raffaella lauricola, a new ambrosia beetle symbiont and pathogen on the Lauraceae. Mycotaxon. 104: 399–404.

Haugen, D.A.; Hoebbeke, E.R. 2005. Sirex woodwasp–Sirex noctilio F. (Hymenoptera: Siricidae). Pest alert. Newtown Square, PA: U.S. Department of Agriculture Forest Service, State and Private Forestry, Northeastern Area. 3 p.

Haugen, L. 2007. How to identify and manage Dutch elm disease. Newtown Square, PA: U.S. Department of Agriculture Forest Service, State and Private Forestry, Northeastern Area. 16 p. http://na.fs.fed.us/pubs/detail.cfm?id=918. [Date accessed: November 22, 2010].

Haugen, L.; Stennes, M. 1999. Fungicide injection to control Dutch elm disease: understanding the options. Plant Diagnosticians Quarterly. 20(2): 29-38.

Hepting, G.H. 1974. Death of the American chestnut. Journal of Forest History. 18: 60–67.

Herms, D.A.; McCullough, D.G.; Smitley, D.R. [and others]. 2009. Insecticide options for protecting ash trees from emerald ash borer. North Central IPM Center Bull. (unnumbered). Lansing, MI: North Central IPM Center. 12 p. http://www.emeraldashborer.info/files/Multistate_EAB_Insecticide_Fact_Sheet.pdf. [Date accessed: November 22, 2010].

Hess, N.J.; Eckhardt, L.G.; Menard, R.D. [and others]. 2005. Assessment of loblolly pine decline on the Oakmulgee Ranger District, Talledega National Forest, Alabama. Revised. Rep. 2005–02–04. Pineville, LA: U.S. Department of Agriculture Forest Service, Forest Pest Management. 36 p.

Hess, N.J.; Walkinshaw, C.H.; Otrosina, W.J. 2003. The role of histology in defining fine root mortality of loblolly decline stands. Prot. Rep. R8 PR–53. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, Forest Health Protection. 12 p.

Hoffard, W.H.; Marx, D.H.; Brown, H.D. 1995. The health of southern forests. Prot. Rep. R8PR27. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region. 36 p.

Hollingsworth, R.G.; Hain, F.P. 1991. Balsam woolly adelgid (Homoptera:Adelgidae) and spruce-fir decline in the southern Appalachians: assessing pest relevance in a damaged ecosystem. Florida Entomologist. 74: 179-187.

Houston, D.R. 1997. Beech bark disease. In: Britton, K.O., ed. Exotic pests of eastern forests: Proceedings of a conference. Nashville, TN: Tennessee Exotic Plant Pest Council: 29–41.

Houston, D.R.; O’Brien, J.T. 1983. Beech bark disease. Forest Insect and Disease Leaflet 75. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p.

Hubbes, M. 1999. The American elm and Dutch elm disease. Forestry Chronicle. 75: 265-273.

Iverson, L.R.; Prasad, A.M.; Hale, B.J. [and others]. 1999. Potential future distributions of common trees of the Eastern United States. Gen. Tech. Rep. NE–265. Delaware, OH: U.S. Department of Agriculture Forest Service, Northeastern Research Station. 245 p. http://www.nrs.fs.fed.us/atlas/tree/. [Date accessed: June 11, 2010].

Jetton, R.M.; Dvorak, W.S.; Whittier, W.A. 2008. Ecological and genetic factors that define the natural distribution of Carolina hemlock in the Southeastern United States and their role in ex situ conservation. Forest Ecology and Management. 255: 3212-3221.

Jetton, R.M.; Whittier, W.A.; Dvorak, W.S.; Rhea, J.R. 2010. Status of gene conservation for eastern and Carolina hemlock in the Eastern United States. In: Onken, B.; Reardon, R., comps: Proceedings of the 5th Symposium on Hemlock Woolly Adelgid in the Eastern United States. Publication no. FHTET-2010-07. Morgantown, WV: U.S. Department of Agriculture Forest Service, Forest Health Technology Enterprise Team: 93-99.

Juzwik, J.; Harrington, T.C.; MacDonald, W.L.; Appel, D.N. 2008. The origin of Ceratocystis fagacearum, the oak wilt fungus. Annual Review of Phytopathology. 46: 13-26.

Kais, A.G. 1989. Brown spot needle blight. In: Cordell, C.E.; Anderson, R.L.; Hoffard, W.H. [and others], tech. coords. Forest nursery pests. Agric. Handb. 680. Washington, DC: U.S. Department of Agriculture Forest Service: 26–28.

Kasper, C.A. 2000. Flowering dogwood (Cornus florida). Windstar Wildlife Institute. Accessed at: http://www.windstar.org/features/clearinghouse/a_flowerin.htm

Kliejunas, J. 2003. A pest risk assessment of Phytophthora ramorum in North America. Vallejo, CA: U.S. Department of Agriculture Forest Service, State and Private Forestry. 11 p. http://www.suddenoakdeath.org/pdf/RevisedPRA.8.03.pdf. [Date accessed: November 22, 2010].

Kliejunas, J.T. 2010. Sudden oak death and Phytophthora ramorum: a summary of the literature: 2010 edition. Gen. Tech. Rep. PSW-GTR-234. Albany, CA: U.S. Department of Agriculture Forest Service, Pacific Southwest Research Station. 181 p.

Koch, F.H.; Smith, W.D. 2008a. Mapping sudden oak death risk nationally using host, climate and pathways data. In: Frankel, S.J.; Kliejunas, J.T.; Palmieri, K.M., tech. coords. 2008. Proceedings of the sudden oak death third science symposium. Albany, CA: U.S. Department of Agriculture Forest Service, Pacific Southwest Forest Experiment Station: 279-287. http://www.fs.fed.us/psw/publications/documents/psw_gtr214/. [Date accessed: June 11, 2010].

Koch, F.H.; Smith, W.D. 2008b. Spatio-temporal analysis of Xyleborus glabratus (Coleoptera: Circulionidae: Scolytinae) invasion in Eastern U.S. forests. Environmental Entomology. 37: 442–452.

Kolarik, M.; Freeland, E. 2011. Geosmithia morbida sp. nov., a new phytopathogenic species living in symbiosis with the walnut twig beetle (Pityophthorus juglandis) on Juglans in USA. Mycologia. 103(2): 325-332.

Kovacs, K.F.; Haight, R.G.; McCullough, D.G. [and others]. 2009. Cost of potential emerald ash borer damage in U.S. communities, 2009-2019. Ecological Economics. 69: 569–578.

Kruse, J.J. 2000. Archips goyerana n. sp. (Lepidoptera: Tortricidae), an important pest of baldcypress (Taxodiaceae) in Louisiana and Mississippi. Proceedings of the Entomological Society of Washington. 102: 741–746.

Lemmen, D.S.; Warren, F.J., eds. 2004. Climate change impacts and adaptation: a Canadian perspective. Ottawa, Ontario: Natural Resources Canada. 174 p.

Liebhold, A.M.; Gottschalk, K.W.; Muzika, R. [and others]. 1995. Suitability of North American tree species to gypsy moth: a summary of field and laboratory tests. Gen. Tech. Rep. NE–211. Radnor, PA: U.S. Department of Agriculture Forest Service, Northeastern Forest Experiment Station. 34 p.

Logan, J.A.; Régnière, J.; Powell, J.A. 2003. Assessing the impacts of global warming on forest pest dynamics. Frontiers in Ecology and the Environment. 1: 130–137.

Loomis, R.C. 1976. Loblolly pine die-off, Oakmulgee R.D. Eval. Memo. Pineville, LA: U.S. Department of Agriculture Forest Service, Forest Insect and Disease Management. 2 p.

Lovett, G.M.; Canham, C.D.; Arthur, M.A. [and others]. 2006. Forest ecosystem responses to exotic pests and pathogens in Eastern North America. BioScience. 56(5): 395–403.

MacDonald, W.L. 1995. Oak wilt: an historical perspective. In: Appel, D.N.; Billings, R.F., eds. Oak wilt perspectives: Proceedings of the national oak wilt symposium. College Station, TX: Texas Forest Service, Texas Agricultural Experiment Station: 7–13.

Mamlstrom, C.M.; Raffa, K.F. 2000. Biotic disturbance agents in the boreal forests: considerations for vegetation change models. Global Change Biology. 6: 35–48.

Mausel, D.L.; Salom, S.M.; Kok, L.T. [and others]. 2010. Establishment of the hemlock woolly adelgid predator, Laricobius nigrinus (Coleoptera: Derodontidae), in the Eastern United States. Environmental Entomology. 39: 440–448.

Mayfield, A.E., III. 2008. Laurel wilt. Forest and Shade Tree Pests, Leaflet 13. Tallahassee, FL: Florida Department of Agriculture and Consumer Services, Division of Forestry. 2 p.

Mayfield, A.; Barnard, E.; Bates, C. [and others]. 2009. Recovery plan for laurel wilt on redbay and other forest species. Caused by Raffaelea lauricola, vector Xyleborus glabratus. National Plant Disease Recovery System, a cooperative project of The American Phytopathological Society and The United States Department of Agriculture. 27 p. http://www.ars.usda.gov/SP2UserFiles/Place/00000000/opmp/ForestLaurelWilt100107.pdf. [Date accessed: November 29, 2012].

McClure, M.S. 1987. Biology and control of hemlock woolly adelgid. Bull. 851. New Haven, CT: Connecticut Agricultural Experiment Station. 9 p.

Menard, R.D.; Eckhardt, L.G.; Hess, N.J. 2006. Assessment of loblolly pine decline on Fort Benning Military Reservation. Rep. 2006–02–01. Pineville, LA: U.S. Department of Agriculture Forest Service, Southern Region, Forest Health Protection. 21 p.

Millar, C.I.; Stephenson, N.L.; Stephens, S.L. 2007. Climate change and forest of the future: managing in the faces of uncertainty. Ecological Applications. 17(8): 2145–2151.

Miller, R.E. 1979. Loblolly pine die-off status report. Rep. 79–2–4. Pineville, LA: U.S. Department of Agriculture Forest Service, Forest Insect and Disease Management. 3 p.

Millers, I.; Shriner, D.S.; Risso, D. 1990. History of hardwood decline in the Eastern United States. Gen. Tech. Rep. NE–126. Durham, NH: U.S. Department of Agriculture Forest Service, Northeastern Area, State and Private Forestry, Forest Health Protection. 75 p.

Montgomery, M.E.; Bentz, S.E.; Olsen, R.T. 2009. Evaluation of hemlock (Tsuga) species and hybrids for resistance to Adelges tsugae (Hemiptera: Adelgidae) using artificial infestation. Journal of Economic Entomology. 1021(3): 1247-1254.

Morris, C.L. 1970. Volume losses from Fomes annosus in loblolly pine in Virginia. Journal of Forestry. 68: 283–294.

Moser, J.C. 1984. Town ant. In: Proceedings of the 10th anniversary of the east Texas forest entomology seminar. Misc. Publ. MP–1553. College Station, TX: Texas Agricultural Experiment Station: 47–52.

Moser, W.K.; Barnard E.L.; Billings, R.F. [and others]. 2009. Impacts of nonnative invasive species on U.S. forests and recommendations for policy and management. Journal of Forestry. 107: 320–327.

Newhouse, A.E.; Schrodt, F.; Liang, H. [and others]. 2007. Transgenic American elm shows reduced Dutch elm disease symptoms and normal mycorrhizal colonization. Plant Cell Reporter. 26: 977-987.

Nicholas, N.S.; Zedaker, S.M. 1990. Forest decline and regeneration success of the Great Smoky Mountains spruce-fir. [Abstract]. In: Smith, E.R., ed. Proceedings: the first annual southern man and the biosphere conference. Rep. TVA/LR/NRM–90/8. Norris, TN: Tennessee Valley Authority. [Number of pages unknown].

Nord, J.C.; Ragenovich, I.; Doggett, C.A. 1984. Pales weevil. Forest Insect and Disease Leaflet 104. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p.

Nowak, J. [N.d.]. Southern pine beetle hazard maps. Atlanta: U.S. Department of Agriculture, Forest Service, Southern Region. http://www.fs.fed.us/foresthealth/technology/nidrm_spb.shtml. [Date accessed: November 19, 2010].

Oak, S.W.; Starkey, D.A.; Dabney, J.M. 1988. Oak decline alters habitat in southern upland forests. In: Proceedings of the annual conference of the Southeastern Association of Fish and Wildlife Management Agencies. 42: 491–501.

Oliveira, E.B.; Penteado, S.R.C.; Lede, E.T. 1998. Forest management for the prevention and control of Sirex noctilio in Pinus taeda. In: Lede, E.T., ed. Training in the control of Sirex noctilio by the use of natural enemies: Proceeding of a conference. Morgantown, WV: U.S. Department of Agriculture. 104 p.

Otrosina, W.L.; Garbelotto, M. 2010. Heterobasidion occidentale sp. nov. and Heterobasidion irregulare nom. nov.: a disposition of North American Heterobasidion species. Fungal Biology. 114(1): 16-25.

Paine, T.D.; Birch, M.C.; Svihra, P. 1981. Niche breadth and resource partitioning by four sympatric species of bark beetles (Coleoptera: Scolytidae). Oecologia. 48: 1–6.

Papadopol, C.S. 2000. Impacts of climate warming on forests in Ontario: options for adaptation and mitigation. Forestry Chronicle. 76: 139–149.

Paradis, A.; Elkinton, J.; Hayhoe, K. [and others]. 2008. Role of winter temperature and climate change on the survival and future range expansion of the hemlock woolly adelgid (Adelges tsugae) in Eastern North America. In: Mitigation and adaptation strategies for global change. Dordrecht, Netherlands: Springer. 13: 541–555.

Parker, W.C.; Colombo, S.J.; Cherry, M.I. [and others]. 2000. Third millennium forestry: what climate change might mean to forests and forest management in Ontario. Forestry Chronicle. 76: 445–463.

Pooler, M.R.; Riedel, L.G.H.; Bentz, S.E.; Townsend, A.M. 2002. Molecular markers used to verify interspecific hybridization between hemlock (Tsuga) species. Journal of the American Society for Horticultural Science. 127: 623-627.

Reid, L.; Eickwort, J.; Johnson, J.; Riggins, J.J. 2011. Distribution of counties with laurel wilt disease by year of initial detection. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region. http://www.fs.fed.us/r8/foresthealth/laurelwilt/dist_map.shtml. [Date accessed: March 9, 2011].

Rexrode, C.O.; Brown, H.D. 1983. Oak wilt. Forest Insect and Disease Leaflet 29. Washington, DC: U.S. Department of Agriculture Forest Service. 6 p.

Rhea, J.R.; Watson, J.K. 1994. Forest health evaluation of the hemlock woolly adelgid, Adelges tsugae, infestations in Shenandoah National Park (SMP), Virginia, 1993. Rep. 94–1–22. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State and Private Forestry, Forest Health Protection. 10 p.

Rivera Rojas, M.; Locatelli, B.; Billings, R. 2010. Cambio climático y eventos epidémicos del gorgojo descortezador del pino Dendroctonus frontalis en Honduras (Climate change and outbreaks of the southern pine beetle, Dendroctonus frontalis, in Honduras). Forest Systems.
19: 70–76.

Rizzo, D.M.; Garbelotto, M.; Davidson, J.M. [and others]. 2002. Phytophthora ramorum and sudden oak death in California: I. Host relationships. In: Verner, J., tech. ed. Proceedings of a symposium on the Kings River sustainable forest ecosystem project: progress and current status. Gen. Tech. Rep. PSW–GTR–183. Albany, CA: U.S. Department of Agriculture Forest Service, Pacific Southwest Research Station: 733–740.

Robbins, K. 1984. Annosus root rot in eastern conifers. Forest Insect and Disease Leaflet 76. Washington, DC: U.S. Department of Agriculture Forest Service. 6 p.

Rogers, H.H.; Runion, G.B.; Krupa, S.V. 1994. Plant responses to atmospheric CO2 enrichment with emphasis on roots and the rhizosphere. Environmental Pollution. 83: 155–189.

Scheffer, R.J.; Voeten, J.G.W.; Guries, R.P. 2008. Biological control of Ductch elm disease. Plant Disease. 92: 192-200.

Scherm, H. 2004. Climate change: can we predict the impacts on plant pathology and pest management? Canadian Journal of Plant Pathology. 26: 267–273.

Schlarbaum, S.E. 1988. Returning the American chestnut to the forests of North America. Katuah Journal. 21(Fall): 6, 7, 23.

Seem, R.C. 2004. Forecasting plant disease in a changing climate: a question of scale. Canadian Journal Plant Pathology. 26: 274–283.

Seybold, S.; Haugen, D.; O’Brien, J. [and others]. 2010. Thousand cankers disease. Pest Alert NA–PR–02–10. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northeastern Area, State and Private Forestry. 2 p. http://na.fs.fed.us/pubs/palerts/cankers_disease/thousand_cankers_disease_screen_res.pdf. [Date accessed:
January 10, 2011].

Sharov, A.; Leonard, D.; Liebold, A.M. [and others]. 2002. “Slow the spread”: a national program to contain the gypsy moth. Journal of Forestry. 100: 30–35.

Smith, E.L.; Storer, A.J.; Roosien, B.K. 2009. Emerald ash borer infestation rates in Michigan, Ohio, and Indiana. [Abstract]. In: McManus, K.A.; Gottschalk, K.W., eds. Proceedings. 20th U.S. Department of Agriculture interagency research forum on invasive species. Gen. Tech. Rep. NRS–P–51. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northern Research Station: 96.

Smith, R.H.; Lee, R.E., III. 1972. Black turpentine beetle. Forest Pest Leaflet 12. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p.

Snover-Clift, K.L. 2009. Dutch elm disease: Ophiostoma novo-ulmi. Factsheet. Ithica, NY: Cornell University, Plant Diagnostic Clinic. 4 p. http://plantclinic.cornell.edu/factsheets/dutchelmdisease.pdf. [Date accessed: March 11, 2011].

Solomon, J.D. 1995. Guide to insect borers of North American broadleaf trees and shrubs. Agric. Handb. 706. Washington, DC: U.S. Department of Agriculture Forest Service. 706 p.

Southern Appalachian Man and the Biosphere. 1996. The effects to Southern Appalachian Assessment forest ecosystems from native and exotic pests. In: The Southern Appalachian assessment terrestrial technical report. Rep. 5 of 5. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region: 103-122.

Spittlehouse, D.L.; Stewart, R.B. 2003. Adaptation to climate change in forest management. BC Journal of Ecosystems and Management. 4(1): 1–11. http://www.forrex.org/publications/jem/ISS21/vol4_no1_art1.pdf. [Date accessed: November 22, 2010].

Staeben, J.C.; Clarke, S.; Ghandi, K.J.K. 2010. Black turpentine beetle. Forest Insect and Disease Leaflet 12. Portland, OR: U.S. Department of Agriculture Forest Service. 8 p.

Staley, J.M. 1965. Decline and mortality of red and scarlet oaks. Forest Science. 11: 2–17.

Stambaugh, W.J. 1989. Annosus root disease in Europe and the Southeastern United States: occurrence, research, and historical perspective. In: Otrosina, W.J.; Scharpf, R.F., tech. coords. Proceedings of the symposium on research and management of annosus root disease (Heterobasidion annosum) in Western North America. Gen. Tech. Rep. PSW–116. Berkeley, CA: U.S. Department of Agriculture Forest Service, Pacific Southwest Forest and Range Experiment Station: 3–9.

Starkey, D.A.; Mangini, A.; Oliveria, F. [and others]. 2000. Forest health evaluation of oak mortality and decline on the Ozark National Forest, 1999. Rep. 2000–02–02. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State and Private Forestry, Forest Health Protection. 31 p.

Starkey, D.A.; Oak, S.W.; Ryan, G. [and others]. 1989. Evaluation of oak decline areas in the South. Prot. Rep. R8 PR–17. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State and Private Forestry, Forest Pest Management. 43 p.

Sturrock, R.N. 2007. Climate change effects on forest diseases: an overview. In: Jackson, M.B., comp. Proceedings of the 54th annual western international forest disease work conference. Missoula, MT: U.S. Department of Agriculture Forest Service: 51–55.

Sturrock, R.N.; Frankel, S.J.; Brown, A.V. [and others]. 2011. Climate change and forest diseases. Plant Pathology. 60: 133-149.

Tainter, F.H.; Baker, F.A. 1996. Oak wilt. In: Principles of forest pathology. New York: John Wiley: 671-682.

Tainter, F.H.; Retzlaff, W.A.; Starkey, D.A.; Oak, S.W. 1990. Decline of radial growth in red oaks is associated with short-term changes in climate. European Journal of Forest Pathology. 20: 95–105.

Texas Forest Service. 1982. Texas forest pest report 1980–1981. Publ. 127. College Station, TX: Texas Forest Service. 39 p.

Thatcher, R.C. 1960a. Bark beetles affecting southern pines: a review of current knowledge. Occas. Pap. 180. Washington, DC: U.S. Department of Agriculture Forest Service. 25 p.

Thatcher, R.C. 1960b. Influence of the pitch-eating weevil on pine regeneration in east Texas. Forest Science. 6: 354–361.

Thatcher, R.C.; Barry, P.J. 1982. Southern pine beetle. Forest Insect and Disease Leaflet 49. Washington, DC: U.S. Department of Agriculture Forest Service. 6 p.

Thatcher, R.C.; Conner, M.D. 1985. Identification and biology of southern pine bark beetles. Agric. Handb. 634. Washington, DC: U.S. Department of Agriculture Forest Service; Cooperative State Research Service, Expanded Southern Pine Beetle Research and Applications Program.
14 p.

Thatcher, R.C.; Coster, J.E.; Hertel, G. [and others], eds. 1980. The southern pine beetle. Tech. Bull. 1631. Washington, DC: U.S. Department of Agriculture Forest Service, Science and Education Administration, Expanded Southern Pine Beetle Research and Applications Program. 266 p.

Tran, J.K.; Ylioja, T.; Billings, R. [and others]. 2007. Impact of minimum winter temperatures on the population dynamics of Dendroctonus frontalis (Coleoptera: Scolytinae). Ecological Applications. 17: 882–899.

U.S. Department of Agriculture, Animal and Plant Health Inspection Service. 2003. Emerald ash borer; quarantine and regulations: interim rule and request for comment. Federal Register. 68: 59,082–59,091.

U.S. Department of Agriculture, Animal and Plant Health Inspection Service. 2006. Emerald ash borer; quarantined areas: affirmation of interim rules as final rule. Federal Register. 70: 249–263.

U.S. Department of Agriculture, Animal and Plant Health Inspection Service. 2010a. APHIS list of regulated hosts and plants proven or associated with Phytophthora ramorum. http://www.aphis.usda.gov/plant_health/plant_pest_info/pram/downloads/pdf_files/usdaprlist.pdf. [Date accessed: March 4, 2011].

U.S. Department of Agriculture, Animal and Plant Health Inspection Service. 2010b. European gypsy moth (Lymantria dispar) North America quarantine. Washington, DC: U.S. Department of Agriculture, Animal and Plant Health Inspection Service. http://www.aphis.usda.gov/plant_health/plant_pest_info/gypsy_moth/downloads/gypmoth.pdf. [Date accessed: November 19, 2010].

U.S. Department of Agriculture, Animal and Plant Health Inspection Service. 2011. Cooperative emerald ash borer project: EAB locations in Illinois, Indiana, Iowa, Kentucky, Maryland, Michigan, Minnesota, Missouri, New York, Ohio, Pennsylvania, Virginia, Wisconsin, West Virginia and Canada: February 1, 2011. http://www.emeraldashborer.info/files/MultiState_EABpos.pdf. [Date accessed: March 1, 2011].

U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Agricultural Research Service, Forest Service; Cooperating State Departments of Agriculture. 2010. Emerald ash borer, Agrilus planipennis (Fairmaire), biological control release guidelines, ver. 1. Riverdale, MD: U.S. Department of Agriculture, Animal & Plant Health Inspection Service. 63 p.

U.S. Department of Agriculture Forest Service. 1985a. Black turpentine beetle and Ips beetles. In: Insects of eastern forests. Misc. Publ. 1426. Washington, DC: U.S. Department of Agriculture Forest Service: 346–347, 358–361.

U.S. Department of Agriculture Forest Service. 1985b. Forest tent caterpillar. In: Insects of eastern forests. Misc. Publ. 1426. Washington, DC: U.S. Department of Agriculture Forest Service: 204-205.

U.S. Department of Agriculture Forest Service. 2010. Hemlock woolly adelgid [home page]. Newtown Square, PA.: U.S. Department of Agriculture Forest Service, Northeastern Area. http://www.na.fs.fed.us/fhp/eab/. [Date accessed: March 1, 2011].

U.S. Department of Agriculture Forest Service, and USDA Animal and Plant Health Inspection Service. 2008. Asian longhorned beetle: a new introduction. Pest Alert NA–PR–01–99GEN. Newtown Square, PA: U.S. Department of Agriculture Forest Service; Animal and Plant Health Inspection Service. 2 p. http://www.na.fs.fed.us/pubs/palerts/alb/alb_pa.pdf. [Date accessed: November 22, 2010].

U.S. Department of Agriculture Natural Resources Conservation Service. 2008. Tennessee Natural Heritage Program rare plant list 2008. Nashville, TN: Tennessee Division of Environment and Conservation, Division of Natural Resources. 46 p. http://www.state.tn.us/environment/na/pdf/plant_list.pdf. [Date accessed: February 18, 2011].

U.S. Department of Agriculture Natural Resources Conservation Service. 2009. County report of endangered, threatened and special concern plants, animals, and natural communities of Kentucky. Frankfort, KY: Kentucky Nature Preserves Commission. 136 p. http://plants.usda.gov/java/threat?statelist=states&stateSelect=US21. [Date accessed: February 18, 2011].

U.S. Department of Agriculture Natural Resources Conservation Service. 2011. Threatened and endangered: protected plants for scientific name = Juglans cinerea. http://plants.usda.gov/java/threat?txtparm=Juglans+cinerea&category=sciname&familycategory=DI&duration=PR&growthhabit=TR&wetland=all&statefed=statelist&stateSelect=US01&stateSelect=US05&stateSelect=US12&stateSelect=US13&stateSelect=US21&stateSelect=US22&stateSelect=US28&stateSelect=US37&stateSelect=US40&stateSelect=US45&stateSelect=US48&stateSelect=US51&stateSelect=US72&sort=sciname&submit.x=84&submit.y=13. [Date accessed: February 18, 2011].

Vilela, E.F. 1986. Status of leaf-cutting ant control in forest plantations in Brazil. In: Lofgren, C.S.; Vander Meer, R.K., eds. Fire ants and leaf-cutting ants: biology and management. Boulder, CO: Westview Press: 399-408.

Ward, J.D.; Mistretta, P.A. 2002. Impact of pests on forest health. In: Wear, D.N.; Greis, J.G. Southern forest resource assessment. Gen. Tech. Rep. SRS–53. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station: 403-428. Chapter 17.

Wargo, P.M. 1977. Armillaria mellea and Agrilus bilineatus and mortality of defoliated oak trees. Forest Science. 23: 485–492.

Wargo, P.M.; Harrington, T.C. 1991. Host stress and susceptibility to armillaria. Agric. Handb. 691. In: Shaw, C.G., III; Kile, G., eds. Armillaria root disease. Washington, DC: U.S. Department of Agriculture: 88–101.

Wargo, P.M.; Houston, D.R.; LaMadeleine, L.A. 1983. Oak decline. Forest Insect and Disease Leaflet 165. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p.

Winnett, S.M. 1998. Potential effects of climate change on U.S. forests: a review. Climate Research. 11: 39–49. http://www.int-res.com/articles/cr/11/c011p039.pdf. [Date accessed: November 22, 2010].

Woods, A.J.; Coates, K.D.; Hamann, A. 2005. Is an unprecedented Dothistroma needle blight epidemic related to climate change? BioScience. 55: 761–769.

Zhu, Z. 1994. Forest density mapping in the lower 48 States: a regression procedure. Res. Pap. SO–280. New Orleans: U.S. Department of Agriculture Forest Service, Southern Forest Experiment Station. 11 p.

[1]Donald A. Duerr is the Staff Entomologist and Paul A. Mistretta is a Staff Pathologist and Regional Pesticide Specialist, Southern Region, U.S. Department of Agriculture Forest Service, Atlanta, GA 30309.

[2]John Ghent, USDA Forest Service, Forest Health Protection, 200 W.T. Weaver Blvd., Asheville, NC 28804, 828-257-4328, jghent@fs.fed.us. Personal communication: May 11, 2010.

[3]R. Billings, Texas Forest Service, Forest Health unit, 200 Technology Way, Suite 1281, College Station, TX 77845-3424, 979-458-6650, rbillings@tfs.tamu.edu. Personal communication: March 8, 2011.

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Appendix C.

Climate Change and Its Impacts on Forests

Introduction

This appendix contains a generalized summary of the relevant literature related to climate change, vegetation change (species and geographic range changes), and pest activity scenario classification as reflected in the current literature.

Information for this appendix was derived from published science literature, along with a selection of literature about the biology and ecology of forest pests. Additional information about forest pests and their control is readily available from State and Federal forestry agencies or online (two good starting points are http://na.fs.fed.us/pubs/index.shtm and http://www.fs.fed.us/r8/foresthealth/).

Many scientists believe that climate change in the form of global warming has occurred over the last century and will continue to occur into the immediate future (Intergovernmental Panel on Climate Change 2007, Kleijunas and others 2009, Malcolm and Pitelka 2000, McNulty and Aber 2001, National Assessment Synthesis Team 2000). The primary factors of climate noted as driving observed ecological effects are temperature and available water. In addition atmospheric gasses (carbon dioxide and air pollutants such as nitrogen oxides and sulfur dioxide) in excess of their ‘normal’ ranges are often identified as additional drivers of the change being observed. Climate change is also linked, at least in part, to human activity (Malcolm and Pitelka 2000, Sturrock 2007, Winnett 1998). These changes are expected to impact crops and their pests individually, as well as impacting the interactions between crops and pests (Runion 2003).

Reporting the results of a workshop attempting to understand the potential interactions among forests, insects, diseases, and climate change, Beukema and others (2007) report that:

Participants agreed that things will change. Most vegetation communities will not simply migrate from one location to another. Instead, many communities will be completely new, with new combinations of trees, understory plants, insects, and diseases. At the same time it is important to bear in mind that we are not going to completely lose all forests and all vegetation. New plant communities will organize themselves and will replace plants that are unable to adapt to new climates. New communities could include current tree species, other tree species (e.g., hardwoods or strongly dispersing species from warmer areas) or could become dominated by grass and shrub species.

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Modeling Climate Change

Available Models

Major efforts are underway to create and use models that can project potential scenarios describing both the impacts of climate change on ecological conditions and the subsequent responses resulting from and possibly then influencing those conditions. Modeling can contribute to our projections of future conditions “…but requires sound knowledge of the causal factors determining spatial distribution, survival, reproduction, dispersal, and infliction of damage” (Goudriaan and Zadocks 1995).

Selection of broad-scale model types (such as general circulation models, process-based models, and empirical models) depends on the specific questions being analyzed and the available relevant data. The application of general circulation models is limited; the finest scale used for global climate simulation is far too coarse for meaningful ecological applications (Logan and others 2003). At a smaller scale, gap models, biogeography models, and biogeochemistry models are among those being used to refine probable broad-scale model projections to reflect conditions at a more local scale (Winnett 1998).

Current model projections of future conditions that will affect forest composition and productivity vary over a wide range of plausible scenarios (Logan and others 2003, National Assessment Synthesis Team 2000, Scherm 2000).

Scherm (2000) supports Millstein’s (1994) contention that uncertainties in model input can compromise the credibility of the output because of error perpetuation or propagation. These scientists are not alone in their concern. Others add the concern that data selection can also significantly influence model output. The use of a crisp data set versus a “fuzzy number” set will have additional major impacts on outputs (Coakley and others 1999).

Scherm and Coakley (2003) have identified three continuing problems with the application of models for predicting climate change effects:

  • Model inputs have a high degree of uncertainty.
  • Nonlinear relationships and thresholds in the relationship between climatic variables and epidemiological responses complicate efforts to collect sufficient data for clear predictive understanding.
  • Modeling often ignores the potential for adaptation by plants and the insects and diseases that attack them.

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Physical Impacts of Climate Change

Temperature—Increase in average temperature is consistently shown in results from a variety of models as being of concern. The Intergovernmental Panel on Climate Change (2007) stated that the data supporting an ongoing warming of the climate are unequivocal, pointing to observations of increases in global air and ocean temperatures, widespread melting of snow and ice, and rising sea levels. The panel found a linear trend in average temperature which had increased by 0.74 ºC (0.56 to 0.92 ºC) from 1906 to 2005, higher than the earlier reported increase of 0.6 ºC (0.4 to 0.8 ºC) for 1901 to 2000 (Intergovernmental Panel on Climate Change 2001); that land areas have warmed faster than oceans; and that temperature increases appear to be larger in northern latitudes.

Overall, climate change is predicted to lead to increasing temperature. Mean global surface air temperatures are predicted to increase from 1.4 to 5.8 ºC by the end of the century. Both night-day and winter-summer average temperature ranges are likely to shrink as minimum temperatures increase more than maximum ones, and continental and high-latitude areas will tend to warm more than coastal and lower-latitude areas (Burdon and others 2006, Harvell and others 2002). The magnitude of these changes is expected to vary both temporally and spatially (McNulty and Boggs 2010).

Water regime—Water is reported to be of great significance, second only to temperature, when projecting potential effects of climate change. Overabundance of water, lack of it, and seasonality of its availability all have significant impacts on the forest processes that govern the overall health of individual organisms. Projections of overall responses to rainfall pattern vary greatly. Generalizations found in the literature include the following:

  • In the South, intense precipitation events have increased over the past 100 years (National Assessment Synthesis Team 2000).
  • Rising sea levels have already had significant impacts on coastal areas, and these impacts will likely increase (National Assessment Synthesis Team 2000).

Malcolm and Pitelka (2000) summarized the effects of water as follows: future regional-scale precipitation changes remain particularly difficult to predict, and changes in the frequency and severity of storms and other extreme weather events are uncertain (Wigley 1999). Overall these changes will appear as a shift of climatic zones towards the poles; warmer temperatures will reach further north in the United States. This last observation introduces a critical concern when discussing climate change. Ecological factors do not function in isolation, they interact and influence each other. This is a fact easily forgotten when reading the literature, much of which discusses single factor effects at a variety of scales.

Carbon dioxide and trace gases—Carbon dioxide is routinely cited as a primary cause of global warming. The consensus within the scientific community (Coakley 1988) is that the increase in carbon dioxide and shifting percentage of trace gases (ozone, chlorofluorocarbons, nitrogen oxides, sulfur oxides, and methane) will combine to bring about continuing global warming. Although this is generally agreed to be an accurate projection of future condition, the spatial relationships involved are extremely uncertain, as are predictions of where the effect will be significant.

Light—Solar radiation is the source of energy for most terrestrial processes, and anything that alters the amount of radiation reaching the earth’s surface may alter climate. Fluctuations in solar output, volcanic eruptions, and other natural perturbations influence solar input to the earth’s energy engine, as do changes in land use and industry. The quality of light and the duration of photoperiod have been shown to affect plants in a variety of ways. Yet except to note that greenhouse gasses can affect the quality of light, little is said in the literature about possible future shifts in light quality. Photoperiod is seldom discussed as changing for a given area. Effects of photoperiod only appear to be noted as significant within the context of other factors that influence plant migrations as described below.

Wind—In the early 1950s, Hepting (1963) found that wind, not temperature or rainfall, was the primary driver of climate change in Great Britain. More recently, Lemmen and Warren (2004), also discussing climate change in Great Britain, suggest that a warmer climate may be more conducive to extreme wind events and that these may in turn have consequences for other forest disturbances. Yarwood (1959) suggested that wind has significant impacts, both directly or indirectly, on plants and the pests that attack them. Unfortunately, with the exception of discussions in the context of storm events, wind is little discussed in the literature, and we found no projections of future wind events in the South.

Soil—Soil chemical properties do not appear to be directly affected by climate change, their only contribution to climate change being a complex of secondary effects. However, it is generally recognized that as air temperature increases so does soil temperature. Soil warming in conjunction with drought is a major concern because it predisposes roots and rootlets to mortality, whether or not root rotting fungi are involved. Localized and often short-term shifts in the albedo are predicted if soil warming results in the failure of vegetative cover, but predictions are not spatially explicit either as to size or location.

Rates of soil mineralization, acidification, nitrification, and carbon sequestration are all processes that are clearly influenced by climate change, but generally these effects are more affected by (and subsequently influence) the local biota.

Mixed edaphic effect projections—A variety of projections have been made for compounded edaphic factors; four are briefly noted below:

  • Increased frequency of extreme weather events (Scherm 2003)
  • Increased frequency and intensity of drought occurring under warmer temperatures (Breshears and others 2005)
  • More frequent winter waterlogging resulting from increased winter rainfall (Broadmeadow and Ray 2005)
  • Increased duration of sunshine resulting from changes in temperature and humidity which in turn lead to reduced summer cloud cover (Broadmeadow and Ray 2005)

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Impacts on Pests and Individual Host Plants

Climate is the single most important factor determining the distribution of major vegetation types and individual species (Malcolm and Pitelka 2000).

Extrapolating the physical effects of climate change to the potential biological/ecological effects that they engender is often problematic. The simple description is that as the climate warms, southern forests will migrate northward and upward (assuming that higher elevation sites become available), and will displace a portion of the temperate mixed hardwood forest. The temperate mixed hardwood forest in its turn will migrate, displacing part of the northern boreal forest. Although this presents an easy to understand generalization, it masks an extremely complex reality.

Forests are not expected to migrate as cohesive units. Although driven by a set of individual physical parameters, migration will more likely respond directly at the species and individual plant level, not at the association, ecosystem, or other ecological level of organization. Different species (and different individuals even within a species) will react in potentially very different ways to the various stimuli generated by climate change. The responses of ecosystems can only be predicted by understanding the behavior of their convergent properties and the unique characteristics and responses of individual species (Malcolm and Pitelka 2000).

On the positive side, increasingly sophisticated computer models have been developed that incorporate more fundamental ecological mechanisms. However, even these newer models cannot yet predict with accuracy what happens as the climate is changing (Malcolm and Pitelka 2000).

Nevertheless, we have some clear reports of observed responses to climate change. An average 1°C increase in average temperature is reported to increase plant growth and lengthen the growing season. Budbreak of quaking aspen (Populus tremuloides) is reported to be 26 days earlier than a century ago in Alberta, Canada; and budbreak of white spruce (Picea glauca) is earlier in Ontario (Lemmen and Warren 2004). Ground-based monitoring efforts in Europe documented an 11-day increase in growing season length over a 34-year period (Malcolm and Pitelka 2000). Because temperature can affect ecosystems in many different ways and because there are multiple pathways for feedback and interaction, evaluating or predicting the effects of temperature increases is not simple. Not surprisingly, published results have been mixed (Malcolm and Pitelka 2000).

The size of plant organs at multiple scales may increase as a response to elevated levels of carbon dioxide. Increased area per leaf, leaf thickness, number of leaves, leaf area per plant, and diameter of stems and branches have all been observed under increased carbon dioxide. Enhanced photosynthesis, increased water use efficiency, and reduced damage from ozone are also reported as responses to increased carbon dioxide (Garrett and others 2006).

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Disease and Insect Risks, Absent Climate Change

The second periodic National Insect and Disease Risk Map, completed in 2006, presents a strategic assessment of potential tree mortality resulting from major insects and diseases. This is the definitive source at the present time for projected insect- and disease-caused mortality for the years 2006 to 2021 (shorter term than the 50 year window of the Southern Forest Futures Project). The risk map is compiled using nearly 190 separate models in a geographic information system (GIS) framework. It assigns risk to individual 1 square kilometer pixels based on forest type, host species basal area, and numerous other factors commonly associated with host species and damage agents. Climate change is not specifically factored into the models, but the map provides an excellent short-term projection of pest activity from which to extrapolate.

A composite map (fig. C.1) displays the summary of risk from all damage agents. The risk shown is the expectation that 25 percent or more of the standing live volume of trees ≥1 inch diameter at breast height (d.b.h.) will be lost over the next 15 years (http://www.fs.fed.us/foresthealth/technology/pdfs/RiskMap_agents_hillshade_8x11.pdf).

Forest health specialists from the U.S. Department of Agriculture Forest Service Southern Region (http://www.fs.fed.us/foresthealth/technology/nidrm.shtml) have developed a Web site that provides separate large-scale risk maps for each Southern State (with county border overlays) color-coded by the degree of risk in each pixel. These maps, labeled by damaging agent—such as gypsy moth (Lymantria dispar) or southern pine beetle (Dendroctonus frontalis)—show the risk associated with the most serious individual pest problems for each State (http://www.fs.fed.us/r8/foresthealth/programs/riskmap/maps/statemaps.shtml).

Figure C.1—Composite 2006 regional insect and disease risk map. Adapted from the National Insect and Disease risk map: National 2006
Figure C.1—Composite 2006 regional insect and disease risk map. Adapted from the National Insect and Disease risk map: National 2006. The composite national map is available at: http://www.fs.fed.us/foresthealth/technology/pdfs/RiskMap_agents_hillshade_8x11_.pdf

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Disease and Insect Activity in a Changing Climate

A variety of statements within this section are written specifically about diseases, insects, or specific host species, based on the content of the initial work being cited. Most, if not all, apply to the broader spectrum of pest species or host species and should be interpreted within that context.

Yang and Scherm (1997) showed climate change to be a driving force in the long-term dynamics of plant disease; results can range from the emergence of new threats from minor diseases to the expansion of diseases into areas where they were not previously a concern (Lonsdale and Gibbs 1994). We are, however, working in an area where reported examples of climate change unambiguously causing a shift in pest/disease patterns is very limited (Goudriaan and Zadocks 1995). Although the number of recent attributions of pathosystem shifts resulting from climate change is increasing, field research is plagued by the long-term nature of climate change, which is much more complicated than the shifts in weather that have been more commonly studied in the past (Coakley 1988).

Host-pest interactions will be affected by climate change in similar ways as other plants and animals. In the most simplistic scenario, pest species migrations will generally follow the migration of their preferred hosts. All of the same ecological elements affecting the hosts in the new environment will impact the pests themselves. Temperature, available water, quality and duration of light, air quality, soil condition, and other factors will affect their physiological and ecological responses. In addition, the condition and possibly altered physiology of the host in its new environment will influence the new host-pest interaction.

Disease evolution is another factor that presents complications when predicting the migration of diseases into new areas; rates are determined by the number of generations of reproduction per time interval, along with the heritability of traits related to fitness under the new climate scenario (Garrett and others 2006).

A few recent publications have focused on the need to consider microclimate factors as being immediately relevant when describing pest-host interactions. This is a little studied area due to the complexity inherent in isolating micro-effects in a macro-scale ecosystem.

Temperature effects on diseases—Gradual warming would probably lead to a general northerly shift in seasonal climatic regimes, which in turn would affect the range of oak (Quercus spp.), sometimes adversely and sometimes favorably (Brasier and Scott 1994). New disease complexes may arise and some diseases may cease to be economically important if warming causes a poleward shift of agroclimatic zones and host plants migrate beyond their current ranges. Pathogens would follow the migrating hosts and may infect remnant vegetation of natural plant communities not previously exposed (Coakley and others 1999).

The geographic range of fungal pathogens are to some extent determined by the temperature ranges over which they can grow (Lonsdale and Gibbs 1994). Brasier and Scott (1994) found that the growth and development of many fungi within the host may often be favored by climate warming, and the conditions that prevail when fungi arrive at the host surface are often critical for disease establishment; they also observed that the effects of temperature on the development and population dynamics of many potential oak diseases have been little researched and they identified the difficulties involved. Nevertheless, they predicted that as warming increases in Europe, a root rot disease (caused by Phytophthora cinnamomi) will extend its northward range, survive winters better in root systems, show increased spread within the host, have greater infection frequency of new hosts, and cause markedly more rapid host decline and mortality.

Other authors concur with the predictions of Brasier and Scott (1994). Chakraborty and others (1998) point out that changes in temperature will alter host-plant physiology and thus host resistance to pests. Broadmeadow and Ray (2005) add that increased temperatures will result in higher evapotranspiration. And Burdon and others (2006) reiterate that when we turn to the impact of the more unpredictable aspects of global climate change on the pathogens themselves, we will likely see significant changes in host-pathogen interactions over time, which are likely in both directions (increase and decreased activity).

Increased soil temperature has been shown to have negative effects on plant roots. Redmond (1955) reported that in a 55-year old stand, yellow birch (Betula alleghaniensis) rootlets with a normal background mortality rate of about 6 percent suffered 19 percent root mortality when average soil temperature increased 1°C and 60 percent root mortality if the temperature average increased 2°C. They also reported a change in microbial population and a change in the development of mycorrhizae, the symbiotic associations between fine feeder roots of plants and root-inhabiting fungi.

Because of their rapid response to small environmental changes, pathogens may provide good early warning of impending climate change. The damage threshold from a disease may also change in a new geographical location (Chakraborty and others 1998).

Temperature effects on insect pests—Higher air temperatures commonly enhance the general activity, population size, and potential for dispersal of insect pests. Higher temperatures could lead to greater overwintering population size, increased length of flight season, and length of daily flight periods (Brasier and Scott 1994). Continued climate change, and particularly warming, would have a dramatic impact on pest insect species. As cold-blooded organisms, they have a life history that hinges on temperature; thermal habitat largely sets the boundaries of their geographic distribution (Logan and others 2003).

Extended periods of warm weather can favor the development of insect pests both directly and indirectly. Warm temperatures can accelerate the development of insect populations by reducing the time needed for life-cycle completion. Indirect effects can be the result of changes in the host plant, or can be produced by decoupling relationships with natural enemies (Mamlstrom and Raffa 2000). In some circumstances, warmer temperatures could actually inhibit insect activity or disrupt the buildup of populations: although warmer winters would increase overwinter survival of some insect pests, reduced snow cover could increase the winter mortality of others (Burdon and others 2006). Enemies of insect pests would also be affected by climate change, but these effects are generally unknown and require more research. If warmer temperatures favor predators and parasitoids, these natural enemies of pests will exhibit greater control of those pest species. Conversely, if warmer temperatures disrupt or decrease predator and parasitoid populations, pest populations will grow more quickly and will persist at higher levels for longer periods of time.

Available water effects—Gilmour (1960) identified two opposite water related conditions that cause significant impacts on trees. Drought conditions have been shown to be the cause of various disorders with or without any associated fungal pathogen. And, saturated soil has been found to cause disorders in many plants. Thus, both extremes in water availability have been shown to negatively affect trees. Saturated soils, although being somewhat deficient in oxygen, appear also to have altered chemistry from similar drier soils. Garrett and others (2006) found that even without the added impetus of climate change the interaction of precipitation and disease is of primary importance for predicting disease severity.

Broadmeadow and Ray (2005) found that increased winter rainfall leads to more frequent winter waterlogging of soil and, in some circumstances, to fine root death extending into the soil surface horizons. This in turn exacerbates the effects of subsequent summer drought. Black and others (2010) associated Swiss needle cast disease (Phaeocryptopus gäumannii) with spring and summer needle wetness, as well as wintertime temperatures.

Because most plant parasitic fungi are believed to require free water for spore germination, microclimate of leaf surfaces is an important consideration. The important sources of free water for foliage diseases are rain, fog, condensed water, and guttation water. Yarwood (1959) found little germination when the relative humidity fell below 95 percent and categorized foliage diseases by their requirements for water in the phyllosphere during the infection stage; but, instead of presenting a broad categorization of this effect, focused attention on rust fungi (specifically their urediospore stage).

Lemmen and Warren (2004) emphasize that forest characteristics and age-class structure also affect how forests respond to changes in moisture, noting that mature forests (with well established root systems) are less sensitive to changes in moisture than younger forests and post-disturbance stands—at least in the short run. They add that different species have different drought tolerance, which also must be considered. And Lonsdale and Gibbs (1994) remind us that climate change with its associated change in frequency of summer droughts would alter the stability of associations between tree species and various members of their non-disease fungal associations—resulting in an outbreak of disease in place of coexistence, or in some circumstances mutualism.

Hanson and others (2001) found that the impact of potential changes in drought or precipitation regimes will not only depend on the predicted scenario of change, but also on the type of forest ecosystem and the climate conditions to which it is currently adapted. They conclude by summarizing six reasons why forests would not exhibit catastrophic dieback under the influence of climate change (including drought) and the prediction that the replacement of forests by faster growing trees will be gradual (Loehle 1996).

Generally speaking, any precipitation regime that stresses host trees (whether it is too little or too much moisture) will make them more susceptible to insect attack.

Wind effects—Yarwood (1959) cites wind as being a serious modifier of water relations and suggests that wind commonly prevents the formation of dew, and causes raindrops or dew to evaporate more rapidly than they would in still air. Broadmeadow and Ray (2005) note that an increase in the number of storms may make woodlands more vulnerable to wind damage.

Light effects—Fungi preferentially grow when the sky is cloudy and are therefore active mainly on shaded parts of the plant or in non-irradiated angles of the ecosystem. Pathogenic fungi are additionally protected when growing partly or completely within the host’s tissue (Manning and von Tiedemann 1995).

The great significance of light especially in the near ultraviolet band (UV-A) on fungal sporulation has been recognized since the first studies were performed on this phenomenon in the 1960s. Humphrey (1941) reports that exposure to light stimulated sporulation in 62 of 75 species of fungi tested; most required light for the initiation of sporulation. Sporulation was not inhibited in any of the 417 fungal strains tested when exposed to light. However, enhanced UV-B radiation may increase, decrease, or leave unaffected the severity of biotic diseases. A serious comparison of this contradictory information is not possible since, in the underlying studies, the ranges of light qualities, light intensities, and light exposures were too large and too variable as were the experimental designs and time courses applied (Manning and von Tiedemann 1995).

If some parts of the disease life cycle are photoperiod sensitive, populations might need to undergo extensive adaptation to make use of extended seasons in temperate areas (Garrett and others 2006).

UV-B has positive and negative effects on fungal development; its effect on diseases is mainly through altered physiology and morphology (Chakraborty and others 1998).

Air quality effects—As noted above, increased carbon dioxide in the atmosphere is generally cited as being a primary factor in driving physiological changes in plant populations. Working with a pasture legume and a fungus (Coletotricum gloeosporioides) at two times ambient carbon dioxide concentration, Runion (2003) reported an increase of virulence of the disease against resistant cultivars of the legume (no change with respect to susceptible cultivars) and a significant increase in fecundity (more pronounced in the aggressive fungal cultivars being tested). Chakraborty and Datta (2003) focused particular concern on whether this increased fecundity at elevated carbon-dioxide levels could rapidly erode the usefulness of disease resistance. Altering the predisposition of the host to disease may be the predominant effect of rising levels of carbon dioxide (Manning and von Tiedemann 1995).

Charkrabotory and others (1998) report an increase of disease severity in response to increased carbon dioxide for 6 of 10 biotrophic fungi and 9 of 15 necrotrophic fungi; and observe that predicting effects for unstudied pathosystems will be challenging, and even more challenging when including the combined effects on diseases and their host plants.

Burdon and others (2006) suggest that the effect of carbon dioxide may be to increase the efficiency of carbon fixation with a resultant increase in growth and improvement in the carbon status of the plant. This increase would lead to morphological change generally expressed as enhanced growth; the combined changes in nutrition and morphology, in turn, could affect the suitability of the plant as host material for a variety of diseases. This having been said, the authors caution that the reported research on the subject is limited and end the discussion with this further caution: “…the predictability of the impact of these factors as on whole communities is even more uncertain with both indirect and direct effects of varying magnitude being likely.”

Mirroring this concern Lemmen and Warren (2004) report that although numerous studies have investigated the impacts of elevated carbon dioxide on forest growth and health, the results are neither clear nor conclusive.

Manning and Keane (1988) conclude that “in a theoretical sense, air pollution can increase, decrease or not affect the course of development of a disease epidemic,” based on new and existing observations about air pollution and pest behavior including:

  • Bacterial diseases are generally inhibited by sulfur dioxide, which limits lesion size and often increases latent periods.
  • Fungal diseases have been reported to be enhanced, inhibited, or not affected at all by air pollutants.
  • The little that is known about the effects of pollution on root diseases indicates that virus-affected plants are usually less affected by air pollutants than virus-free plants.
  • According to James and others (1980a), inoculated stumps of ozone-stressed pines (Pinus spp.) were more readily invaded by annosum root disease (caused by Heterobasidion annosum).
  • According to Skelly and others (1983), ozone stressed eastern white pine (Pinus strobus) in the Blue Ridge Mountains of Virginia were more subject to Leptographium root disease (caused by Verticicladiella procera).
  • According to Mahoney and others (1985), loblolly pine seedlings with ectomycorrhizae (Pisolithus tinctorius) were not adversely affected by ozone, sulfur dioxide, or a combination of both.
  • According to Keane and Manning (1987), ozone caused significant decreases in ectomycorrhizae of white birch (Betula pendula) and white pine seedlings.

Soil environment effects—Carbon dioxide concentration in soil is expected to be far less impacting to diseases than atmospheric carbon dioxide. Soil microflora is routinely exposed to levels 10 to 20 times higher than atmospheric carbon dioxide levels (Coakley and others 1999; Manning and von Tiedemann 1995). Colonization and persistence of mycorrhizae appears to be dependent, in part, on the nutrient status (primarily nitrogen) and carbon dioxide concentration in soil, although observed responses do not show a consistent pattern. Not much more can be said here because the influence of mycorrhizae on plant disease is still not well understood.

Ozone does not penetrate the soil surface and therefore affects roots only indirectly by altering photosynthesis. Damage caused by several tree root disease pathogens became more severe when the host plant was stressed by ozone (Fenn and others 1990; James and others 1980b, 1982; Skelly and others 1983).

O’Neill (1994) presents a detailed review of the potential effects of elevated levels of carbon dioxide on the rhizosphere (the region of soil that is directly influenced by root secretions and associated soil microorganisms), observing that ecosystems are largely constrained by the rates at which soil processes occur. Much more data will be needed to begin the process of generalized modeling of effects on the rhizosphere.

Effects of soil saturation have already been briefly discussed above. Both the amount of water and timing of flooding affect the degree of negative impact on cover plants.

Soil characteristics, nutrient availability, and disturbance regimes may prove to be more important than temperature in controlling future ecosystem dynamics (Lemmen and Warren 2004). Climate and vegetation interact to determine the characteristic soils of an area, and different climatic zones are characterized by different soil types—except where the presence of unusual rock, such as serpentine, results in unique soils (Malcolm and Pitelka 2000).

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Effects on Host Biology

Little is known about how environmental effects on tree physiology influence the inducible responses that are relevant to pathogens (signal recognition, generation of phytoalexins and reactive oxygen species, hypersensitive responses, callus growth, and systemic acquired resistance) (Ayres and Lombardero 2000).

Carbon dioxide is a primary input to growth and development of all plant life, providing both a fertilization effect and an increase in the efficiency with which plants use water. The fertilization effect may be affected by the availability of water and other nutrients. It may also diminish after an initial period of adjustment by the plant. Increased carbon dioxide levels may also trigger changes in the chemical composition of vegetation such as affecting the carbon-to-nitrogen ratio in leaves (Winnett 1998). Positive response to carbon dioxide appears to occur under a wide range of nutrient availability (Rogers and others 1994). In addition, Bazzaz and others (1994) stress that the differential responses of species to elevated levels of carbon dioxide indicate potential shifts in the competitive relationships among plants. Partial closure of the guard cells forming stomates has been proposed as the mechanism by which plants slow transpiration (Jones and Mansfield 1970), which in turn may be one mechanism of adaptive resistance to elevated carbon dioxide levels.

Other factors to consider include the following:

  • In soils, some fungi can use carbon dioxide as an additional source of carbon, which is incorporated into organic acids and eventually enters the Krebs cycle as an additional energy supply (Manning and von Tiedemann 1995); this increase tends to increase root growth more than aboveground growth (Rogers and others 1994).
  • Ozone effects on plant diseases are host mediated.
  • The principal mechanism for UV-B effects on plant diseases would be through alteration of host plants (Manning and von Tiedemann 1995).
  • Host-pathogen relationships, defense against physical stressors, and the capacity to overcome resource shortages could be impacted by rises in carbon dioxide (Rogers and others 1994).
  • During winter dormancy, direct effects of climate on the host are generally less important than those involving a pathogen (Lonsdale and Gibbs 1994).

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Combined Effects

Increased summer temperatures and droughtiness would be expected to help shift the distributions of fungi northwards within the range of potential hosts, or at least to increase the geographic range over which they behave as pathogens (Lonsdale and Gibbs 1994).

Fungi appear to be largely tolerant of current ozone levels. However, a strong negative correlation exists between rainfall or relative air humidity and photochemical ozone generation in the atmosphere: on wet days that are appropriate for fungal growth on plant surfaces, ozone levels are usually low. Consequently, biologically harmful concentrations of ozone are unlikely to coincide with germinating spores or actively growing mycelium (Manning and von Tiedemann 1995).

Expected increases in growth from elevated carbon dioxide levels will almost certainly aggravate problems with diseases. However, this effect would likely be offset by growth reductions caused by increased ozone and UV-B (Manning and von Tiedemann 1995). Because carbon dioxide may greatly alter ecosystem structure and function (Bazzaz and Fajer 1992), unmanaged forest ecosystems may be seriously impacted by carbon dioxide acting in combination with drought, compared to intensively managed, monoculture tree farms where species composition has been altered. Overall the interaction of carbon dioxide and temperature is not well understood and the experimental data have been inconsistent (Rogers and others 1994).

At higher temperatures, an increase in the availability of all major nutrients (nitrogen, phosphorus, calcium, magnesium, potassium, and sulfur) can be expected as a result of increased water fluxes through soil and higher organic matter decomposition rates, which would increase the circulation of nutrients in the soil-nutrition system. Also, nutrient circulation would increase because of higher growth rates of forest species at increasing atmospheric carbon dioxide concentration and warmer temperature (Nilson and others 1999).

Stressed trees are more susceptible to insect pests and diseases (Broadmeadow and Ray 2005), enabling some level of assessment by forest pathologists and entomologists. However, firm projections of future pest activity cannot be made and considerable caution should be exercised in extrapolating analysis to a future climate. For some insects and diseases, likely trends cannot be predicted even on the basis of expert judgment (Broadmeadow and Ray 2005).

Climate change will directly influence infection, reproduction, dispersal, and survival among the seasons and other critical stages in the life cycle of a disease (Coakley and Scherm 1996). Observed outcomes include modifications in host resistance, altered stages and rates of disease development, and changes in the physiology of host-pathogen interactions (Scherm 2003).

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Effects on Ecosystems

Because individual species will respond to climate change differently, ecosystems will not necessarily shift as cohesive units. The most vulnerable species are expected to be those with narrow temperature tolerances, slow growth characteristics, and limiting dispersal mechanisms such as heavy seeds (Lemmen and Warren 2004). How well plant and animal species adapt to or move with changes in their potential habitat is strongly influenced both by their dispersal abilities and by the characteristics and severity of disturbances to these environments. Nonnative and invasive species that disperse rapidly are likely to find opportunities in newly forming communities (Joyce and others 2001). However, if climate change causes a gradual shift of cropping regions, pathogens will follow their hosts (Goudriaan and Zadocks 1995) into less changed new communities.

The pattern of disturbance imposed on a landscape by a particular biotic agent is determined both by the structure and condition of the landscape and by the characteristics of the agent and its responsiveness to environmental conditions (Mamlstrom and Raffa 2000). Factors such as changes in land use or increases in resistant strains of diseases may underlie range expansions (Harvell and others 2002).

Dale and others (2001) point out that many disturbances are cascading. For example, insect infestations and diseases promote forest fires by creating fuels, and the fires in turn promote future infestations and infections by compromising the resistance of surviving trees to insects and diseases. Invasive nonnative species are sometimes able to modify existing disturbances or introduce entirely new ones. Under climate change, these compounded interactions may be unprecedented and unpredictable. They are likely to appear slowly and be difficult to detect because of tree longevity.

Climate change could represent a new form of disturbance to unmanaged ecosystems and thus could provide new opportunities for invasive species to flourish and displace native species. An important feature of many invasive species is their dispersal effectiveness and their high reproductive rates (Malcolm and Pitelka 2000). Changes in phonological synchronicity of hosts and native pests, as well as their relative abundance and physiological condition, may affect the frequency and consequences of outbreaks (Malcolm and others 2006).

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Effects on Distribution of Species

As climate shifts, climatically sensitive species will eventually die out, and only a subset of the potential pool of incoming plants may actually migrate sufficiently quickly to keep up with the shifting climate. Thus, plant communities could become progressively composed of the more adaptable and faster moving species, especially if warming is rapid. This change in plant communities, especially tree communities, is of considerable concern. Expansion of the warm-temperature mixed-evergreen forests of the South would be at the expense of other kinds of forests. In some scenarios, parts of the South become drier and grasslands or savannahs replace the current forest (Malcolm and Pitelka 2000).

The forest area impacted by insects and diseases in the United States is approximately 45 times that impacted by fire, with an economic impact that is almost 5 times larger (Dale and others 2001). If this trend continues, pests and diseases are likely to be the primary cause of species change in eastern forests over the next few decades. Forecasting the trajectory of those changes is nearly impossible because we cannot predict with any certainty which pests or diseases will be established (Lovett and others 2006). Given the complexities of climate change, and biotic responses to it, prediction of the future impact of climate change on emerging infectious diseases is difficult except on a broad scale. Climate change can lead to the emergence of preexisting pathogens as major disease agents or can provide the climatic conditions required for nonnative diseases to flourish (Anderson and others 2004). Because climate change will allow plants and diseases to survive outside their historic ranges, Harvell and others (2002) have projected an increase in the number of invasive diseases.

Describing similar effects for pest insects in climate change scenarios, Logan and others (2003) indicate that there is a historic trend to intensification in all aspects of outbreak behavior, based on assessments of individual species’ responses to date; this certainly characterizes modeling work with the mountain pine beetle (Dendroctonus ponderosae), gypsy moth, spruce beetle (Dendroctonus rufipennis), and spruce budworm (Choristoneura fumiferana).

Walther and others (2002) link climate change to changes in a variety of known springtime life-cycle events in European organisms (including earlier annual bird breeding, migrant bird arrival, the appearance of butterflies, choruses and spawning of amphibians, and shoot growth and flowering of plants); these changes in event timing suggest a lengthening of growing season by 8 to 16 days. Anderson and others (2004), citing grey leaf spot (Pyricularia grisea) disease of corn (Zea spp.), suggest that the ranges of several important crop insects, nonnative plants, and plant diseases have already expanded northward. They also note that autumn life-cycle events (leaf color change and leaf fall) are not as clearly defined in their response to the extension of growing season as springtime events.

Plants have historically responded to climate change by migration and adaptation. Fragmentation and rate of seedling establishment may hinder some plant populations from successful migration to higher latitudes. Persistence of these populations may depend heavily on adaptive evolution, but predicted rates of evolutionary response are much slower than the predicted rate of climate change. Historical climate changes were generally much slower (by one or more orders of magnitude) than those predicted for the future (Etterson and Shaw 2001). This observation leads to concern that historical response patterns to climate change may not prove to be effective as predictors of future change.

Adding to the concerns expressed above is a critical consideration that has not yet been emphasized enough—climate change cannot be viewed in isolation; its effects on ecosystems must be considered in the context of a range of human-caused impacts on ecosystems, such as air pollution, water pollution, habitat destruction and fragmentation, and the nonnative species that thrive and have their most serious effects in ecosystems already disturbed by human activities (Malcolm and Pitelka 2000).

Many unpredictable, unforeseen pest problems may arise as a result of changing temperatures, changing precipitation regimes, or both in combination. Previously minor or infrequent pests may become significant causes of tree mortality. Some current major pests may decline in importance. In addition to new nonnative invasive pests arriving from overseas, the ranges of insects and diseases native to North America may expand or contract dramatically. Because these changes are largely unpredictable yet bound to occur, land managers and scientists in forestry-related disciplines will need to practice early detection and monitoring of “new” problems and follow up with research and creative, adaptive management strategies.

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Pathosystems

The subtle changes in conditions attributed to climate change can affect plant-disease development. These changes are not easily determined, and, consequently, the ability to forecast how disease changes under altered growth conditions is not simple (Seem 2004).

Less stable relationships tend to occur in the simpler ecosystems that initially exist in planted forests, often involving new combinations of host and pathogen species that have been transported beyond their natural geographic ranges. In such situations, climate change would likely encourage major changes in disease incidence and severity (Lonsdale and Gibbs 1994).

Tree-disease problems cannot be fully understood without a thorough appreciation of the part played by environmental factors, particularly climate, as a precursor to fungal attack. The manifestation of many diseases often merely reflects unfavorable site factors, the presence of the fungus being the result of an unhealthy condition rather than the primary cause of the tree’s debility (Gilmour 1960).

During unusual weather events or biologically induced stress periods, the competitive dominant may be the most vulnerable. Its large size has stretched its limits to coordinate uptake, transport, storage, and photosynthesis (Manion and Lachance 1992).

The timing of the stress event is also very important. Early season stress is frequently overcome although later stressors are not so, often simply because of sufficient time remaining in the growing season (Lundquist and Hamelin 2005).

Nonnative insect pests and diseases pose the most serious threat to the forests of eastern North America. The litany of pest and disease introductions is long: chestnut blight (Cryphonectria parasitica), Dutch elm disease (Ophiostoma ulmi), beech bark disease (Nectria coccinea var. faginata), balsam woolly adelgid (Adelges piceae), hemlock woolly adelgid (A. tsugae), dogwood anthracnose (Discula destructiva), and gypsy moth (Lovett and others 2006).

According to Lovett and others (2006), ecologists need adequate information in only six categories of knowledge about nonnative pests and their hosts to make rough predictions of the type and magnitude of potential ecosystem impacts. Pest information is needed concerning: (1) mode of action, (2) host specificity—such as species and age class, and (3) virulence. With respect to the host, the information needed is: (4) ecological importance—position or bio-production values in the system, (5) uniqueness, and (6) phytosociology—such as pure versus mixed stands, effectiveness of regeneration.

When climate change has a significant and direct effect on plants, changes in composition may ensue. Given differential responses across plant species, this may lead to relative changes in community composition. When coupled with range extensions or contractions of individual species, the result may be increased or decreased diversity of whole plant communities. Diseases of one host species may thus be brought into intimate contact with new hosts, although the likelihood of spatial movements necessary for this to occur is perhaps low in the immediate future; they may benefit from increasing overlap of obligate alternate host distributions; or they may suffer significant reductions in population size as a consequence of allopatric distributions or incomplete congruence in the distribution of obligate alternate hosts (Burdon and others 2006).

Boland and others (2004) summarize research on the potential impact of climate change on plant diseases and list 143 plant diseases, only 18 of which are forest tree diseases. Despite this they tabulate data for climate change effects with respect to forest pathosystems under these categories: primary inoculum or disease establishment, rate of disease progress, potential duration of epidemic, reasons for effects, and net effect of the disease. Although predicting the effects on the diseases is relatively intuitive to plant pathologists, the authors argue that extending the intuitive knowledge pathosystems or disease mechanisms requires more knowledge about how the host’s physiology and thus the host-pathogen interaction will be affected. They also cite a specific need for further knowledge about the effects of elevated carbon dioxide, UV radiation, and ground level ozone, as well as the effects of environmental changes on insect vectors of diseases.

An interesting sidebar to pathosystems activity is reflected in the capacity of fungi to perform their cleanup function (woody and leaf litter decomposition) under the influence of climate change. Yin (1999) makes several points. First, the decay rate of forest woody debris is a key missing link in our quantitative understanding of carbon dynamics and the global carbon budget of forests. And, in the context of global climate change, a 2 °C warming in air temperature in January and July would accelerate stem woody debris decay (in density loss); accelerated decay would decrease in the presence of increased precipitation (and vice-versa); but, the magnitude of increase would be smaller when adjusted for the detrimental effect of elevated carbon dioxide as part of climate change.

For many fungal diseases that rely on biotic vectors for dispersal, the effects of climate change and weather on the development of outbreaks or epidemics have not been studied in detail. In areas where a pathogen already occurs, weather conditions may favor outbreaks of its vectors in certain years, suggesting that climate change could influence long-term prevalence of the disease (Lonsdale and Gibbs 1994). The introduction of new vector species, changes in vector overwintering and oversummering (Garrett and others 2006), and other effects of change on insects may have important effects on pathogen survival, movement, and reproduction (Garrett and others 2006). Pathogens that rely on vectors may see significant shifts in their distribution or intensity if environmental changes affect the behavior or viability of their vector (Burdon and others 2006).

However, in some circumstances, warmer temperatures could actually inhibit insect activity or disrupt the build-up of populations. Enemies of insect pests will also be affected by climate change, but these effects are unknown and require more research. If warmer temperatures positively affect predators and parasitoids, natural enemies will exhibit greater control of pest species. Conversely, if warmer temperatures disrupt or decrease predator and parasitoid populations, pest populations will grow more quickly and will persist at higher levels for longer periods.

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Literature Cited

Anderson, P.K.; Cunningham, A.A.; Patel, N.G. [and others]. 2004. Emerging infectious diseases of plants: pathogen, pollution, climate change and agrotechnology drivers. Trends in Ecology and Evolution 19(10): 535–544.

Ayres, M.P.; Lombardero, M.J. 2000. Assessing the consequences of global change for forest disturbance from herbivores and pathogens. Science of Total Environment 262: 263–286. (also: http://www.dartmouth.edu/~mpayres/pubs/gepidem. PDF).

Bazzaz, F.A.; Fajer, E.D. 1992. Plant life in a CO2-rich world. Scientific American 266: 68-74.

Beukema, S.J.; Robinson, D.C.E.; Greig, L.A. 2007. Forests, insects & pathogens and climate change: workshop report. Prineville, OR: The Western Wildlands Environmental Threat Assessment Center. 20 p. (access at: http://www.essa.com/documents/Forests,%20Pests%20 and%20Climate%20-%20Workshop%20Report.pdf).

Black, B.A.; Shaw, D.C.; Stone, J.K. 2010. Impacts of Swiss needle cast on overstory Douglas-fir forests of the western Oregon Coast Range. Web published m.s. Corvalis, OR: Oregon State University. 35 p. (access at http://ir.library.oregonstate.edu/jspui/bitstream/1957/15212/1/Black_et_al_FEM_SNC_study_2010%5B1%5D.pdf).

Boland, G.J.; Melzer, M.S.; Hopkin, A. [and others]. 2004. Climate change and plant diseases in Ontario. Canadian Journal of Plant Pathology 26: 335–350.

Brasier, C.M.; Scott, J.K. 1994. European oak declines and global warming: a theoretical assessment with special reference to the activity of Phytophthora cinnamomi. Bulletin-OEPP 24(1): 221–232.

Breshears, D.D.; Cobb, N.S.; Rich, P.M. [and others]. 2005. Regional vegetation die-off in response to global-change type drought. Proceedings of the National Academy of Sciences of the United States of America 102: 15144–15148.

Broadmeadow, M.; Ray, D. 2005. Climate change and British woodland. Information Note 69. Edinburgh, United Kingdom: Forestry Commission. (also: http://www.forestresearch.gov.uk/pdf/fcin069.pdf/$FILE/fcin069.pdf).

Burdon, J.J.; Thrall, P.H.; Ericson, L. 2006. The current and future dynamics of disease in plant communities. Annual Review of Phytopathology 44: 19–39.

Chakraborty, S.; Datta, S. 2003. How will plant pathogens adapt to host plant resistance at elevated CO2 under a changing climate? New Phytologist 159: 733–742.

Chakraborty, S.; Murray, G.M.; Magarey, P.A. [and others]. 1998. Potential impact of climate change on plant diseases of economic significance to Australia. Australasian Plant Pathology 27: 15–35.

Coakley, S.M. 1988. Variation in climate and prediction of disease in plants, Annual Review of Phytopathology 26: 163-181.

Coakley, S.M.; Scherm, H.; Chakraborty, S. 1999. Climate change and plant disease management. Annual Review of Phytopathology 37: 399–426.

Dale, V.H.; Joyce, L.A.; McNulty, S. [and others]. 2001. Climate change and forest disturbances. BioScience 51: 723–734. (also: http://www.usgcrp.gov/usgcrp/Library/nationalassessment/forests/bioone2.pdf).

Etterson, J.R.; Shaw, R.G. 2001. Constraint to adaptive evolution in response to global warming. Science 294: 151-154.

Fenn, M.E. Dunn, P.H.; Durall, D.M. 1989. Effects of ozone and sulfur dioxide on phyllosphere fungi from three tree species. Applied Environmental Microbiology 55: 412-418.

Garrett, K.A.; Dendy, S.P.; Frank, E.E. [and others]. 2006. Climate change effects on plant disease: genomes to ecosystems. Annual Review of Phytopathology 44: 489–509.

Gilmour, J.W. 1960. The importance of climatic factors in forest mycology. New Zealand Journal of Forestry 8: 250-260.

Goudriaan, J.; Zadocks, J.C. 1995. Global climate change: modeling the potential responses of agrosystems with special reference to crop protection. Environmental Pollution 87: 215-224.

Hansen, A.J.; Neilson, R.P.; Dale, V.H. [and others]. 2001. Global change in forests: responses of species, communities and biomes. BioScience. 51: 765–779.

Harvell, C.D.; Mitchell, C.E.; Ward, J.R. [and others]. 2002. Climate warming and disease risks for terrestrial and marine biota. Science. 296: 2158–2162.

Hepting, G.H. 1963. Climate and forest diseases. Annual Review of Phytopathology. 1: 31–50.

Humphrey, H. B. 1941. Climate and plant diseases. Yearbook of Agriculture 1941.Washington, DC: U.S. Department of Agriculture: 499-502.

Intergovernmental Panel on Climate Change. 2001. Climate change 2001: synthesis report. A contribution of Working Groups I, II, and III to the third assessment report of the Integovernmental Panel on Climate Change. In: Watson, R.T. and the Core Writing Team, eds. Cambridge University Press, Cambridge, United Kingdom, and New York: 398 pp.

Intergovernmental Panel on Climate Change. 2007. Summary for policymakers. In: Solomon, S.; Qin, D.; Manning, M.; Chen, Z.; Marquis, M.; Averyt, K.B.; Tignor, M.; Miller, H.L., eds. Climate change 2007: The physical science basis. Contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York: Cambridge University Press.20 p. (also: http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr_spm.pdf.).

James, R.L.; Cobb, F.W., Jr.; Miller, P.R. [and others]. 1980a. Effects of oxidant air pollution on susceptibility of pine rots to Fomes annosus. Phytopathology 70: 560-563.

James, R.L.; Cobb, F.W., Jr.; Wilcox, W.W. [and others]. 1980b. Effect of photochemical oxidant injury of ponderosa and Jeffrey pines on susceptibility of sapwood and freshly cut stumps to Fomes annosus. Phytopathology 70: 704-708.

Jones, R. J.; Mansfield, T. A. 1970. Increases in the diffusion resistances of leaves in a carbon dioxide-enriched atmosphere. Journal of Experimental Botany 21: 951-958.

Joyce, L.; Aber, J.; McNulty, S. [and others]. 2001. Potential consequences of climate variability and change for the forests of the United States. In: National Assessment Synthesis Team, eds. Climate change impacts on the United States: the potential consequences of climate variability and change. Cambridge, United Kingdom: Cambridge University Press: 489–522. (also: http://www.srs.fs.usda.gov/pubs/ja/ja_joyce001.pdf).

Keane, K.D.; Manning, W.J. 1987. Effects of ozone and simulated acid rain and ozone and sulfur dioxide on mycorrhizal formation in paper birch and white pine. In: Perry, R. et al. London, Great Britain: Selper Ltd.: 608-613.

Kleijunas, J.T.; Geils, B.W.; Glaeser, J.M. [and others]. 2009. Review of literature on climate change and forest diseases of western North America. Albany, CA: U.S. Department of Agriculture Forest Service, Pacific Southwest Research Station. 54 p.

Lemmen, D.S.; Warren, F.J., eds. 2004. Climate change impacts and adaptation: a Canadian perspective. Ottawa, Ontario: Natural Resources Canada. 174 p.

Logan, J.A.; Régnière, J.; Powell, J.A. 2003. Assessing the impacts of global warming on forest pest dynamics. Frontiers in Ecology and the Environment. 1: 130–137. (also: http://www.usu.edu/beetle/documents/Loganet.al.2003.pdf. [accessed July 13, 2009]).

Loehle, C. 1996. Do simulations project unrealistic dieback? Journal of Forestry 94: 13-15.

Lonsdale, D.; Gibbs, J.N. 1994. Effects of climate change in fungal disease of trees. In: Frankland, J.C.; Magan, N.; Gadd, G.M., eds. Fungi and environment change: symposium of the British Mycological Society. Cambridge, United Kingdom: Cambridge University Press: 1–19.

Lovett, G.M.; Canham, C.D.; Arthur, M.A. [and others]. 2006. Forest ecosystem responses to exotic pests and pathogens in eastern North America. BioScience 56(5): 395–403.

Lundquist, J.E.; Hamelin, R.C., eds. 2005. Forest pathology: from genes to landscapes. St. Paul, MN: American Phytopathological Society, APS Press. 175 p.

Mahoney, M.J.; Chevone, B.I.; Skelly, J.M. [and others]. 1985. Influence of mycorrhizae on the growth of loblolly pine seedlings exposed to ozone and sulfur dioxide. Phytopathology 75: 679-682.

Malcolm, J.R.; Liu, C.; Neilson, R. P.; Hansen, L.; Hannah, L. 2006. Global warming and extinctions of endemic species from biodiversity hotspots. Conserv. Biol.20: 238-248.

Malcolm, J.R.; Pitelka, L.F. 2000. Ecosystems and global climate change: a review of potential impacts on U.S. terrestrial ecosystems and biodiversity. 47 p. Accessed at: http://www.pewclimate.org/docUploads/env_ecosystems.pdf. (July 13, 2009).

Mamlstrom, C.M.; Raffa, K.F. 2000. Biotic disturbance agents in the boreal forests: considerations for vegetation change models. Global Change Biology 6: 35-48.

Manion, P.D.; Lachance, D.L. 1992. Forest decline concepts: an overview. In: Manion, P.D.; Lachance, D.L., eds. Forest decline concepts. St. Paul, MN: APS Press: 181–190.

Manning, W.J.; Keane, K.D. 1988. Effects of air pollutants on interactions between plants, insects and pathogens. In: Heck, W.W.; Taylor, O.C.; Tingley, D. T., eds. Assessment of crop loss from air pollutants. London, G. B.: Elsevier: 365-386.

Manning, W.J.; von Tiedemann, A. 1995. Climate change: potential effects of increased atmospheric carbon dioxide (CO2), ozone (O3), and ultraviolet-B (UV-B) radiation on plant diseases. Environmental Pollution 88: 219–245.

McNulty, S.G.; Aber, J.D. 2001. United States national climate change assessment on forest ecosystems: an introduction. BioScience 51: 720–723. (also: http://www.usgcrp.gov/usgcrp/Library/nationalassessment/forests/bioone1.pdf).

McNulty, S.G.; Boggs, J. L. 2010. A conceptual framework: redefining forest soil’s critical acid loads under a changing climate. Environmental Pollution 30: 1-6. (also: doi:10.1016.j.envpol.2009.11.028).

Millstein, J.A. 1994. Propagation of measurement errors in pesticide application computations. International Journal of Pest Management 40: 159-165.

National Assessment Synthesis Team. 2000. Climate change impacts on the United States: the potential consequences of climate variability and change. Washington, DC: U.S. Global Change Research Program. 541 p.

Nilson, A.; Kiviste, A.; Korjus, H. [and others]. 1999. Impact of recent and future climate change on Estonian forestry and adaptation tools. Climate Research. 12: 205–214.

O’Neill. E. G. 1994. Response of soil biota to elevated atmospheric carbon dioxide. Plant and Soil 165: 55-65.

Redmond, D.R. 1955. Studies in forest pathology. XV. Rootlets, mycorrhiza, and soil temperatures in relation to birch dieback. Canadian Journal of Botany 33: 595-627.

Régnière, J.; Bentz, B. 2008. Mountain pine beetle and climate change. In: McManus, K.; Gottschalk, K.W. Proceedings: 19th U.S. Department of Agriculture Interagency Research Forum on Invasive Species, 2008 (Jan. 8-11: Annapolis, MD) Gen. Tech. Rep. NRS-P-36. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northern Research Station: 63-64. (Available at: http://www.nrs.fs.fed.us/pubs/gtr/gtr_nrs-p-36.pdf).

Rogers, H.H.; Runion, G.B.; Krupa, S.V. 1994. Plant responses to atmospheric CO2 enrichment with emphasis on roots and the rhizosphere. Environmental Pollution 83: 155-189.

Runion, G.B. 2003. Climate change and plant pathosystems—future disease prevention starts here. New Phytologist 159: 531–538.

Scherm, H. 2000. Simulating uncertainty in climate-pest models with fuzzy numbers. Environmental Pollution 108: 373-379.

Scherm, H. 2003. Plant pathogens in a changing world. Australian Plant Pathology 32: 157-165.

Scherm, H.; Coakley, S.M. 2003 Plant pathogens in a changing world. Australian Plant Pathology 32: 157-165.

Seem, R.C. 2004. Forecasting plant disease in a changing climate: a question of scale. Canadian Journal Plant Pathology 26: 274-283.

Skelly, J.M.; Yang, Y.S.; Chevione, B.I. [and others]. 1983. Ozone concentrations and their influence on forest species in the Blue Ridge Mountains of Virginia. In: Davis, D. D.; Millen, A.A.; Dochinger, L.S., eds. Air pollution and the productivity of forests (Oct. 4-5, 1983: Washington, DC). State College, PA: Pennsylvania State University, Isaac Walton League of America. 344 p.

Sturrock, R.N. 2007. Climate change effects on forest diseases: an overview. In: Jackson, M.B. (compiler). Proceedings of the 54th annual Western International Forest Disease Work Conference (Oct. 2-6, 2006: Smithers, British Columbia, Canada). Missoula, MT: US Department of Agriculture, Forest Service: 51–55.

Walther, G.R.; Post, E.; Convey, P. [and others]. 2002. Ecological responses to recent climate change. Nature. 416: 389–395.

Wigley, T.M.L. 1999. The science of climate change: global and U.S. perspectives. Arlington, VA: Pew Center on Global Climate Change. http://www.pewclimate.org/docUploads/env_science.pdf. (July 13, 2009).

Winnett, S.M. 1998. Potential effects of climate change on U.S. forests: a review. Climate Research 11: 39–49. (also: http://www.int-res.com/articles/cr/11/c011p039.pdf).

Yang, X.B.; Scherm, H. 1997. El Nino and infectious disease. Science. 275: 739.

Yarwood, C.E. 1959. Microclimate and infection. In: Plant Pathol. Probl. And Progr. 1908-1958. Madison WI: Univ. Wisc. Press: 548-556.

Yin, X. 1999. The decay of forest woody debris: numerical modeling and implications based on some 300 data cases from North America. Oecologia. 121: 81–98.

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Other References

Annosum Root Disease

Anderson, R.L.; Mistretta, P.A. 1982. Management strategies for reducing losses caused by fusiform rust, annosus root rot, and littleleaf disease. Agric. Handbk. 597. Washington, DC: U.S. Department of Agriculture, Forest Service. 30 p.

Asian Longhorned Beetle

U.S. Department of Agriculture, Animal and Plant Health Inspection Service. 2010. Plant health: asian longhorned beetle. Washington, DC: U.S. Department of Agriculture, Animal and Plant Health Inspection Service. Web accessed http://www.aphis.usda.gov/plant_health/plant_pest_info/asian_lhb/index.shtml

U. S. Department of Agriculture, Forest Service. Forest health protection – Asian longhorned beetle. Portal page. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northeastern Area, State and Private Forestry, Forest Health Protection. Web accessed at http://www.na.fs.fed.us/fhp/alb/

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Baldcypress Leafroller

http://www.insectimages.org/browse/subthumb.cfm?sub=4300&Start=1&display=30&sort=2

http://www.fs.fed.us/r8/foresthealth/publications/patterns_of_defoliation_in_southeastern_louisiana_swamps.pdf

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Balsam Woolly Adelgid

Ragenovich, I.R.; Mitchell, R.G. 2006. Balsam woolly adelgid. Forest Insect & Disease Leaflet 118. Portland, OR: U. S. Department of Agriculture, Forest Service. 12 p. Available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-118.pdf).

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Bark Beetle (see below for southern pine beetle)

Ciesla, W.M. 1973. Six-spined engraver beetle. Forest Pest Leaflet 141. Washington, DC: U.S. Department of Agriculture Forest Service. 6 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl141.pdf).

Clarke, S.R.; Evans, R.E.; Billings, R.F. 2000. Influence of pine bark beetles on the west Gulf Coastal Plain. Texas Journal of Science 52(4) Supplement: 105-126.

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Beech Bark Disease

Brown Spot Needle Blight

Phelps, W.R.; Kais, A.G.; Nicholls, T.H. 1978. Brown spot needle blight of pines. Forest Insect & Disease Leaflet 44. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-44.pdf).

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Butternut Canker

Fleguel, V.R.. 1996. A literature review of butternut and the butternut canker. Inform. Rep. 20. Ontario, Canada: Ministry of Natural Resources, Eastern Ontario Model Forest. 32 p.

Nicholls, T.H. 1979. Butternut canker. In: Proceedings of the symposium on walnut insects and diseases. Gen. Tech. Rep. NC–52. St. Paul, MN: U.S. Department of Agriculture Forest Service, North Central Forest Experiment Station: 73–82.

Ostry, M.E.; Mielke, M.E.; Anderson, R.L. 1996. How to identify butternut canker and preserve butternut. St. Paul, MN: U.S. Department of Agriculture Forest Service, North Central Forest Experiment Station. 4 p.

Ostry, M.; Mielke, M.; Skilling, D. 1994. Butternut—strategies for managing a threatened tree. Gen. Tech. Rep. NC–165. St. Paul, MN: U.S. Department of Agriculture Forest Service, North Central Forest Experiment Station. 7 p.

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Dogwood Anthracnose

Anderson, R.L.; Knighten, J.L.; Windham, M. [and others]. 1994. Dogwood anthracnose and its spread in the South. Protect. Rep. R8–PR–26. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State & Private Forestry, Forest Pest Management. 10 p.

Britton, K.O.; Roncadori, R.W.; Hendrix, F.F. 1993. Isolation of Discula destructiva and other fungi from seeds of dogwood trees. Plant Disease. 77: 1026–1028.

Daughtrey, M.L.; Hibben, C.R.; Britton, K.O.; Windham, M.T.; Redlin, S.C.1996. Dogwood anthracnose: understanding a disease new to North America. Plant Disease. 80: 349–358.

Daughtrey, M.L.; Hibben, C.R.; Hudler, G.W. 1988. Cause and control of dogwood anthracnose in Northeastern United States. Journal of Arboriculture. 14(6): 159–164.

Windham, M.T.; Graham, E.T.; Witte, W.T. [and others]. 1998. Cornus florida “Appalachian Spring”: a white flowering dogwood resistant to dogwood anthracnose. Horticultural Science. 33: 1265–1267.

Top of page

Emerald Ash Borer

Various. 2010. Emerald Ash Borer Information Network. Lansing, MI: Michigan State University. Available at: http://www.emeraldashborer.info.

U. S. Department of Agriculture, Forest Service. Forest health protection – Emerald ash borer. Portal page. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northeastern Area, State and Private Forestry, Forest Health Protection. Web accessed at http://na.fs.fed.us/fhp/eab/)

Top of page

Forest Tent Caterpillar

Harper, J.D.; Abrahamson, L.P. 1979. Forest tent caterpillar control with aerially applied formulations of Bacillus thuringiensis and dimilin. Journal of Economic Entomology. 72: 74–77.

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Fusiform Rust

Anderson, R.L.; Mistretta, P.A. 1982. Management strategies for reducing losses caused by fusiform rust, annosus root rot, and littleleaf disease. Agric. Handbk. 597. Washington, DC: U.S. Department of Agriculture Forest Service. 30 p.

Dinus, R.J.; Schmidt, R.A. 1977. Management of fusiform rust in southern pines. In: Proceedings of a symposium. Gainesville, FL: University of Florida. 163 p.

Matthews, F.R.; Anderson, R.L. 1979. How to save your fusiform rust infected pines by removing cankers. Bull. SA–FB/P7. Atlanta: U.S. Department of Agriculture Forest Service, Southern Region, State and Private Forestry, Forest Insect and Disease Management. 6 p.

Phelps, R.W.; Czabator. 1978. Fusiform rust of southern pines. Forest Insect & Disease Leaflet 26. Washington, DC: U.S. Department of Agriculture Forest Service. 7 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-26.pdf).

Schmidt, R.A. 1998. Fusiform rust disease of southern pines: biology, ecology, and management. Tech. Bull. 903. Gainesville, FL: University of Florida. 14 p.

U.S. Department of Agriculture, Forest Service (USDA FS). 1971. Thinning pine plantations in 1971 and after. Unnumbered Forest Management Bulletin. Atlanta: U.S. Department of Agriculture Forest Service, Southeastern Area, State and Private Forestry, Forest Insect and Disease Management. 6 p.

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Gypsy Moth

Elkinton, J.S.; Liebhold, A.M. 1990. Population dynamics of gypsy moth in North America. Annual Review of Entomology. 35: 571–596.

Gottschalk, K. 1993. Silvicultural guidelines for forest stands threatened by the gypsy moth. Gen. Tech. Rep. GTR NE-171.Radnor, PA: U.S. Department of Agriculture Forest Service, Northeastern Forest Experiment Station. 49 p.

McManus, M.; Schneeberger, N.; Reardon, R.; Mason, G. 1989. Gypsy moth. Forest Insect & Disease Leaflet 162. Washington, DC: U.S. Department of Agriculture Forest Service. 14 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-162.pdf).

U.S. Department of Agriculture, Forest Service and Animal and Plant Health Inspection Service (USDA FS and others). 1995. Gypsy moth management in the United States: a cooperative approach. [Unnumbered Rep.]. Washington, DC: U.S. Department of Agriculture Forest Service. Various [total 1092 p.]

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Hardwood Borer

Donley, D.E.; Accivatti, R.E. 1980. Red oak borer. Forest Insect & Disease Leaflet 163. Portland, OR: U.S. Department of Agriculture Forest Service. 7 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-163.pdf).

Graham, S.A. 1959. Control of insects through silvicultural practices. Journal of Forestry. 57: 281–283.

Hay, C.J.; Morris, R.C. 1970. Carpenterworm. Forest Pest Leaflet 64. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-64.pdf).

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Hemlock Woolly Adelgid

U. S. Department of Agriculture, Forest Service (USDA FS). 2005. Hemlock woolly adelgid. Pest Alert NA-PR-09-05. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Norhteastern Area, State & Private Forestry. 2 p. (Also: : http://na.fs.fed.us/spfo/pubs/pest_al/hemlock/hwa05.htm).

U.S. Department of Agriculture, Forest Service (USDA FS). 2010. Hemlock woolly adelgid [home page]. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northeastern Area. Various p. [http://na.fs.fed.us/fhp/hwa/].

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Littleleaf Disease

Anderson, R.L.; Mistretta, P.A. 1982. Management strategies for reducing losses caused by fusiform rust, annosus root rot, and littleleaf disease. Agric. Handbk. 597. Washington, DC: U.S. Department of Agriculture Forest Service. 30 p.

Mistretta, P. 1984. Littleleaf disease. Forest Insect & Disease Leaflet 20. Washington, DC: U.S. Department of Agriculture Forest Service. 6 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-20.pdf).

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Nantucket Pine Tip Moth

Berisford, C.W. 1974. Comparisons of adult emergence periods and generations of the pine tip moths, Rhyacionia frustrana and R. rigidana. Annals of the Entomological Society of America. 67: 666–668.

Berisford, C.W.; Kulman, H.M. 1967. Infestation rate and damage by the Nantucket pine tip moth in six loblolly pine stand categories. Forest Science. 13: 428–438.

Eikenbary, R.D.; Fox, R.C. 1965. The parasites of the Nantucket pine tip moth in South Carolina. Tech. Bull. 1017. Clemson, SC: South Carolina Agricultural Experiment Station. 9 p.

Eikenbary, R.D.; Fox, R.C. 1968. Arthropod predators of the Nantucket pine tip moth Rhyacionia frustrana. Annals of the Entomological Society of America. 61: 1218–1221.

Fettig, C.J.; Berisford, C.W. 1999. Nantucket pine tip moth phenology in eastern North Carolina and Virginia: implications for effective timing of insecticide application. Southern Journal of Applied Forestry. 23: 30–38.

Nowak, J.T.; Berisford, C.W. 2000. Effects of intensive management practices on insect infestation levels and loblolly pine growth. Journal of Economic Entomology. 93: 336–341.

Warren, L.O. 1985. Primary hymenopterans parasites of Nantucket pine tip moth, Rhyacionia frustrana (Comstock). Journal of Entomological Science. 20: 383–389.

Yates, H.O., III; Overgard, N.A.; Koerber, T.W. 1981. Nantucket pine tip moth. Forest Insect & Disease Leaflet 70. Washington, DC: U.S. Department of Agriculture Forest Service. 8 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-70.pdf).

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Oak Decline

Oak, S.W.; Courter, A. 2000. Modeling oak decline effects on forest composition and structure change using the forest vegetation simulator [Abstract]. In: Anon. Proceedings of the first joint meeting of the northeast and southwide forest disease workshops. Morgantown, WV: West Virginia University. [Not paged].

Oak, S.W.; Huber, C.M.; Sheffield, R.M. 1991. Incidence and impact of oak decline in western Virginia 1986. Resour. Bull. SE–123. Asheville, NC: U.S. Department of Agriculture Forest Service, Southeastern Forest Experiment Station. 16 p.

Oak, S.; Tainter, F.; Williams, J.; Starkey, D. 1996. Oak decline risk rating for the Southeastern United States. Annals des Sciences Forestiere. 53: 721–730.

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Oak Wilt

Appel, D.N.; Billings, R.F., eds. 1995. Oak wilt perspectives: Proceedings of the national oak wilt symposium. College Station, TX: Texas Forest Service, Texas Agricultural Experiment Station, Texas Agricultural Extension Service. 217 p.

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Pine Reproduction Weevil

Corneil, J.A.; Wilson, L.F. 1980. Pales weevil—rationale for its injury and control. Michigan Christmas Tree Journal. Fall: 16–17.

Grosman, D.M.; Billings, R.F.; McCook, F.A.; Upton, W.W. 1999. Influence of harvest date and silvicultural practices on the abundance and impact of pine reproduction weevils in western gulf pine plantations. In: Haywood, James, D., ed. Proceedings of the tenth biennial southern silvicultural research conference. Gen. Tech. Rep. SRS–30. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station: 565–568.

Speers, C.F. 1974. Pales and pitch-eating weevils: development in relation to time pines are cut in the Southeast. Res. Note SE–207. Asheville, NC: U.S. Department of Agriculture Forest Service, Southeastern Forest Experiment Station. 7 p.

Stevens, R.E. 1971. Pine reproduction weevil. Forest Pest Leaflet 15. Washington, DC: U.S. Department of Agriculture Forest Service. 6 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-15.pdf).

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Southern Pine Beetle

Clarke, S.R.; Nowak, J.T. 2009. Southern pine beetle. Forest Insect & Disease Leaflet 49. Portland, OR: U.S. Department of Agriculture Forest Service. 8 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-49.pdf).

Price, T.S.; Doggett, C.; Pye, J.M.; Smith, B. 1998. A history of southern pine beetle outbreaks in the Southeastern United States by the southeastern forest insect working group. Macon, GA: Georgia Forestry Commission. 72 p.

Swain, K.M.; Remion, M.C. 1981. Direct control of the southern pine beetle. Agric. Handbk. 575. Washington, DC: U.S. Department of Agriculture. 15 p.

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Texas Leaf Cutting Ant

Bennett, W.H. 1958. The Texas leaf-cutting ant. Forest Pest Leaflet 23. Washington, DC: U.S. Department of Agriculture Forest Service. 4 p. (available at http://www.fs.fed.us/r6/nr/fid/fidls/fidl-23.pdf).

[Grosman, D.] n.d. Leaf-cutting ant. Web page. College Station, TX: Texas Forest Service. (Available at: http://txforestservice.tamu.edu/main/popup.aspx?id=1187 (Accessed: Jun. 28, 2010.)

Cherret, J.M. 1986. History of the leaf-cutting ant problem. In: Lofgren, C.S.; Vander Meer, R.K., eds. Fire ants and leaf-cutting-ants biology and management. Boulder, CO: Westview Press: 10–17.

The following discussion and analysis is excerpted with only very minor changes from Régnière and Bentz (2008) and provides an example for consideration of a pest present and destructive in the western United States which and its potential impact in the East and South under the influence of climate change.

The mountain pine beetle (Dendroctonus ponderosae) is a native insect of pine forests in Western North America. Although it has a broad geographical distribution, it has been historically confined in the United States, by the distribution of its pine hosts, and in the northern half of British Columbia, by the geoclimatic barrier of the Rocky Mountains. Since the early to mid-1990s, an outbreak has reached unprecedented levels in terms of acreage and number of pine trees attacked. Lodgepole pine (Pinus contorta) is being killed throughout its range, most notably in Colorado and British Columbia. The beetle is also causing very high mortality among whitebark pine (Pinus albicaulis) and limber pine (Pinus flexilis) at high elevations. Historical records from the past century suggest that these ecosystems have had pulses of infestation and mortality but not at the levels currently being observed. Since 2006, the range of infestation has expanded into the Peace River area of north-central Alberta. Climate change may well be involved in this recent northeastward and upward range expansion. Evidence of similar shifts in insect distributions is ample and mounting throughout the world, much of it convincingly linked to climate change.

The primary concern at this time is the likelihood that the infestation will continue spreading eastward into the pines of the Canadian boreal forest, eventually reaching the eastern provinces and threatening the pines growing on the Atlantic side of the continent and then spreading into the Southern United States. Because of its recent incursion to the edges of the Canadian boreal forest, mountain pine beetle is viewed as a potential invading species in eastern pine ecosystems.

Three well-understood links connect climate and mountain pine beetles and form the basis for the concern that changing climate (temperature and precipitation) has had—and will continue to have—a role in the recent outbreaks and range expansion of this insect.

  1. A well-synchronized adult emergence pattern is a prerequisite for successful mass attack of healthy pine trees. Such highly synchronized emergence is most likely to occur where (and when) the insect has a strictly univoltine (one generation per year) life cycle.
  2. Cold winter temperature is the major cause of mortality in mountain pine beetles. For more than 20 years, process-based models describing responses to temperature have been under development; they show that a hemivoltine life cycle (one generation every 2 years) entails exposure to two winters, leading to lower population performance.
  3. Drought affects the ability of pine trees to defend themselves against insect attack.

Three model components are available to study the impact of weather on mountain pine beetle populations: a phenology model that predicts life stage-specific developmental timing, a cold-tolerance model that predicts probability of larval mortality resulting from cold temperature, and a drought-stress model that predicts fluctuations of tree susceptibility. All three models have been implemented within BioSIM to make landscape-scale predictions of mountain pine beetle performance under climate change scenarios. BioSIM is a generic modelling tool that uses available knowledge about the responses of particular species (usually pests) to key climatic factors to predict their potential geographic range and performance.

The phenology model is very good at predicting the portions of the continent where the insect has a high likelihood of being univoltine. This model predicts the northward and upward shift of infestation. Under a conservative climate change scenario, it also predicts that by the end of the 21st century, the area at risk will shift considerably northward, to a point that the insect may be maladapted over much of its current distributional range. The cold tolerance model suggests that winter survival is very low and will remain so in the foreseeable future throughout the boreal pine forests from Alberta to Ontario. Although drought stress is, and is predicted to be, more common in that same area, there is not a very large change in this risk factor predicted in the near future.

Thus, with our current understanding of the insect’s physiology and host plant interactions, the risk of seeing the mountain pine beetle spread across the northern forests of Canada into the eastern pine forests seems rather low. This prediction, of course, is contingent on failure of the insect to adapt (evolve) and change its thermal responses, and on a relatively stable distribution of pines over the time range under consideration.

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