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SOCIO Datasets

socio1f11: These land use forecasts were generated for the years 2020 and 2040 under two different scenarios. The data were generated using a model that forecasts land use change. County resolution.
used in figures 6.11, 6.12, 6.13
socio1f15: These land use forecasts were generated for the years 2020 and 2040 under two different scenarios. The data were generated using a model that forecasts land use change. County resolution.
used in figure 6.15
socio2survey: This data set was derived from a social survey of randomly selected households in the 13 state region and conducted by the University of Tennessee as part of the National Survey of Recreation and the Environment. Southwide.
used throughout Chapter 7
forest: This tabular dataset describes historical patterns of forest inventory, growth and removals for counties in the South.
used in table 12.1
social: This tabular dataset contains Bureau of Census data on selected social demographic and economic variables at the county level.
used in table 12.2
jobs: This tabular dataset of county-level employment data was obtained from the IMPLAN database.
used in table 12.3
wages: This tabular dataset contains county-level wage data from the IMPLAN database.
used in table 12.4

TIMBR Datasets

area: These data are projections, 1995-2040, of forest area by management type, by Forest Inventory and Analysis Survey Unit (or by Ecoregion), by projection scenario, developed using the Subregional Timber Supply Model. Survey unit resolution.
used in figures 13.15A, 13.15B, 13.15C, 13.15D, 13.17, 13.18, 13.19 and the projected portion of 13.20
areachange: These data are projections of the percent change in timberland area, 1995-2040, by projection scenario, by FIA Survey Unit, developed using the Subregional Timber Supply Model. Survey unit resolution.
used in figure 13.16
vol: These data are projections, 1995-2040, of timber growth, removals, and inventory, by species, by year, by Forest Inventory and Analysis Survey Unit (or by Ecoregion), by projection scenario, developed using the Subregional Timber Supply Model. Survey unit resolution.
used in figures 13.21A, 13.21B, 13.21C, 13.21D, 13.23A, 13.23B, 13.23C, 13.23D, 13.25A, 13.25B, 13.25C, 13.25D, 13.27A, 13.27B, 13.27C, 13.27D, 13.27E, 13.27F, 13.27G, 13.27H, 13.27I, 13.27J, 13.27K, 13.27L, and 13.27M
volchange: These data are projections, 1995-2040, of changes in removals in thousand cu. ft. by survey unit, softwood and hardwood, developed using the Suregional Timber Supply Model. Survey unit resolution.
used in figures 13.22 and 13.24
volage: These data are projections, 1995, 2020, 2040, of timber net volume by age class, by hardwood and softwood under the UH scenario, developed using the Subregional Timber Supply Model. Southwide.
used in figures 13.26A and 13.26B
price: Timber price index projections (1995=100) by species, scenario and year. Southwide.
used in figures 13.28A and 13.28B

HLTH Datasets

for_typ: The shape file details the location of forest cover type in the Southern United States as referenced in Eyre, F.H. 1980. Maps cover types.
used in figure 17.1
fusiform: This tabular dataset lists the FIA plots with slash and loblolly pine with more then 10 percent fusiform rust. Plot resolution.
used in figure 17.2
ann_haz: The shape file details the hazard risk of infection from Annosus in categories from High to Low. The area covered is the Southern United States. The categories are based on soil characteristics from the Natural Resources Conservation Service STATSGO data set. Maps hazard areas.
used in figure 17.3
br_spot: The shape file depicts the range of Brown Spot Needle Blight in the Southern United States. Maps range.
used in figure 17.4
oak_wilt: Data set detailing presence of Oak Wilt in counties of the Southern United States. County resolution.
used in figure 17.5
oakdec: This tabular file lists the FIA plots with Oak Decline in the Southern United States. Plot resolution.
used in figure 17.6
pine_fia: This tabular file lists the FIA plots with significant Pine stocking in the Southern United States. Plot resolution.
used in figure 17.7
spb: Data set detailing the number of years that Southern Pine Beetle is in outbreak status for a county. Outbreak status is defined as one or more Southern Pine Beetle spots per 1000 acres of appropriate host type. County resolution.
used in figure 17.8
tx_ant: Data set detailing the presence of the Texas Leaf Cutting Ant in counties in the Southern United States. County resolution.
used in figure 17.9
littlelf: Data set detailing the historical presence of Littleleaf Disease and a rating of vulnerability to Littleleaf Disease. County resolution.
used in figure 17.10
dogwood: Data set detailing the presence of Dogwood Anthracnose in counties in the Southern United States. County resolution.
used in figure 17.11
dw_range: The shape file depicts the range of dogwood in the Southern United States. Maps range.
used in figure 17.11
bbd_cnty: Data set detailing the presence of Beech Bark Disease in counties of the Southern United States. County resolution.
used in figure 17.12
be_range: The shape file depicts the range of beech in the Southern United States. Maps range.
used in figure 17.12
butternt: Data set detailing the presence of Butternut Canker in counties in the Southern United States. County resolution.
used in figure 17.13
bn_range: This shape file depicts the range of butternut canker in the Southern United States. Maps range.
used in figure 17.13
hemlock: Data set detailing the presence of Hemlock Woolly Adelgid in counties in the Southern United States. County resolution.
used in figure 17.14
hemrange: The shape file depicts the range of hemlock in the Southern United States. Maps range.
used in figure 17.14
sf_range: The shape file depicts the range of spruce-fir in the Southern United States. The range of spruce-fir corresponds with the area colonized by the Balsam Woolly Adelgid. Maps range.
used in figure 17.15
gm_infes: Data set detailing if a county in the Southern United States is generally infested with gypsy moth. County resolution.
used in figure 17.16
nadpsites: The dataset contains values, in pounds per acre, of total annual nitrogen and sulfate deposition for each of the NADP collection sites across the southern U.S. Maps NADP sampling locations.
used in figures 18.1 and 18.2
hlth3f5: This dataset describes county-level forest growth around 2000 in tons per acre per year as predicted by the PnET-II model for the Climate Change Impacts on the United States: The Potential Consequences of Climate Variability and Change report. County resolution.
used in figure 18.5
hlth3f6: This dataset describes county-level forest growth around 2040 in tons per acre per year as predicted by the PnET-II model for the Climate Change Impacts on the United States: The Potential Consequences of Climate Variability and Change report. County resolution.
used in figure 18.6
hlth3f7: This dataset describes county-level forest growth around 2090 in tons per acre per year as predicted by the PnET-II model for the Climate Change Impacts on the United States: The Potential Consequences of Climate Variability and Change report. County resolution.
used in figure 18.7
hlth3f10: This dataset summarizes the total aboveground forest carbon in tons per acre for all FIA-sampled counties of the southern U.S. County resolution.
used in figure 18.10

AQUA Datasets

totmile: This tabular data set identifies the extent of water quality assessment of rivers and streams as reported by each of the Southern states in semi-annual reports (State 305(b) Reports) from 1988 to 1998. State resolution.
used in Chapter 19 (AQUA-1) Results section on National Water Quality Inventories: general trends in water quality
causemile: This tabular dataset identifies the leading causes of impairment of rivers and streams (total miles) as reported by each of the States in semi-annual reports (State 305(b) Reports) from 1988 to 1998. Southwide.
used in Chapter 19 (AQUA-1) Results section on National Water Quality Inventories: leading causes of impairment
impmile: This tabular dataset identifies the leading sources of impairment of rivers and streams (total miles) as reported by each of the States in semi-annual reports (State 305(b) Reports) from 1988 to 1998. State resolution.
used in table 19.4 and figures 19.1, 19.2, and 19.3
iwi_uwa_2m: This shapefile contains hydrologic unit code (HUC) boundaries in the Southern United States and provides information about watershed condition. Maps watersheds.
used in figures 19.4 and 19.5

Broadly Useful Datasets

scounty100: This coverage contains the county boundaries of the Southern United States at 1:100,000 scale. Maps counties.
scounty2m: This coverage contains the county boundaries of the Southern United States at 1:2,000,000 scale. Maps counties.
fcounty100: This coverage contains the county boundaries of the Southern United States at 1:100,000 scale but modified to combine selected municipalities in Virginia with adjoining counties to coincide with coding by Forest Inventory and Analysis. Maps FIA "counties."
fcounty2m: This coverage contains the county boundaries of the Southern United States at 1:2,000,000 scale but modified to combine selected municipalities in Virginia with adjoining counties to coincide with coding by Forest Inventory and Analysis. Maps FIA "counties."
sstates100: This coverage contains the state boundaries of the Southern United States at 1:100,000 scale and was created to coincide with the county map scounty100. Maps states.
sstates2m: This coverage contains the state boundaries of the Southern United States at 1:2,000,000 scale and was created to coincide with the county map scounty_2m. Maps states.
fstate2m: This coverage contains the state boundaries of the Southern United States at 1:2,000,000 scale and was created to coincide with the county coverage fcounty2m. State resolution.
su-south: This coverage maps FIA survey units of the Southern United States at 1:100,000 scale, based on the county coverage fcounty100. Maps groupings of counties.
ecoregions: This shapefile portrays Bailey's ecoregions but is limited to Southern States excluding the Dry Domain (prairie) ecoregions. Maps ecological subsections.
ecocnty: This shapefile presents the National Hierarchical Framework of Ecological Units (ECOMAP 1993) for the Southern United States with section boundaries adjusted to whole counties, facilitating integration of county-referenced information with areas of uniform ecological potential. Maps ecological sections.
hydrogl020: This shapefile portrays the linear water features of the Eastern United States. Maps rivers.
fedland: This shapefile displays federally owned land of the Southern United States as polygon features. Maps federally-owned lands.
urbanap020: This coverage includes a selection of urban areas in the Southern United States. Maps cities.
roadtrl020: This coverage portrays the major roads in the United States. Maps roads.
railrdl020: This coverage includes railroads in the United States. Maps railroads.
ewplot: Plot-level datasets custom-developed by FIA analysts for the Assessment describing over 75 site and stand attributes at over 87,000 forested locations across the 13 Southern United States, most reported for two survey periods.
ewtree: Tree-level datasets custom-developed by FIA analysts for the Assessment describing over 20 attributes measured on over a million and a quarter individual trees across the Southern United States, with trees at many locations measured over two survey periods.

Note: Spatial datasets use our standard geographic projection

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created: 29-Aug-2003
modified: 01-Jun-2009