Forest health monitoring: 2007 national technical report

Author(s): Conkling, Barbara L.

  • Date: 2011
  • Source: Gen. Tech. Rep. SRS-147. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 159 p.
  • Station ID: GTR-SRS-147

Description:

The Forest Health Monitoring Program produces an annual technical report that has two main objectives. The first objective is to present information about forest health from a national perspective. The second objective is to present examples of useful techniques for analyzing forest health data new to the annual national reports and new applications of techniques formerly used. The report’s organizational framework is the Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests of the Montreal Process. Here, we present an approach to examining landscape context of forest and grassland in the United States. We explore the influence of environmental factors such as climate and air quality on a lichen species diversity indicator across the continental United States. This includes an analysis of the potential for monitoring changes in these environmental factors. We use Forest Inventory and Analysis phase 3 data to describe aspects of forest communities such as understory species composition, richness, and distribution, including discussion of invasive and introduced species. Tree mortality, which has been examined in previous Forest Health Monitoring reports, is analyzed in this report using a more intensive dataset to demonstrate the utility of Forest Inventory and Analysis phase 2 data. We explore spatial modeling of ozone injury risk, along with microscale and landscape-scale ancillary data that can be used in the modeling analyses. A discussion of redbay ambrosia beetle/laurel wilt risk includes current beetle/ wilt distribution, host species distributions, climate matching, and spread modeling. Progress in monitoring and analyses of Phytophthora ramorum and sudden oak death is presented along with results from two different monitoring techniques.

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