public read Forest Ecosystem Monitoring Cooperative

705 Spear StreetSouth BurlingtonVermont05403United States of America

(802) 656-0683femc@uvm.eduwww.uvm.edu/femcForest Ecosystem Monitoring Cooperative (FEMC) leadArborVox partnerForest Ecosystem Monitoring Cooperative (FEMC) volunteersData was sourced from the Northeastern Forest Health Atlas in the form of a disturbance vector shapefile representing the occurrence of all disturbances across the northeast since 1997. Two different datasets were produced. One was produced incorporating all disturbances, which used no filtering. A climate-based disturbance layer was also produced, filtering to only include disturbances stemming from drought, flooding, frost, tornadoes, hurricanes, or winter precipitation. Beyond the filtering stage, the remaining methods remain constant for each layer. Features were then dissolved by year using the “Dissolve” geoprocessing tool, and overlapping disturbances were counted using “Union” function followed by a “Count Overlapping Features” function. The polygon-based shapefile was then converted to a 30m raster, while backfilling null values to be zero. Values were then rescaled to a 0- 100 scale using linear methods. Forest Ecosystem Monitoring CooperativeJenniferPontiusprincipalInvestigatorJamesDuncancontentProviderAnthonyD'AmatocontentProviderLukasKopackiprincipalInvestigatorThe uncertainty around the impacts of changing climate poses a significant challenge to sustaining forest ecosystems in the northeast. Important work has been done downscaling projected changes in climate conditions, modeling shifts in suitable habitat, and mapping disturbance patterns across the region. The goal of this project is to aggregate these valuable but disparate spatial data sets to quantify relative exposure to climate change impacts at the species, and community level. The resulting climate exposure maps provide insight to how the degree of potential risk exposure vary across the landscape an across species. Results indicate that at the stand level, highest overall exposure to climate, disturbance, and limitations in suitable habitat for current species distributions occurs in mountainous regions throughout the region and southeastern Maine. Across the region relative exposure increases by 4 percent between low and high emission scenarios. Much of our current management is guided by the outcomes of decades of silviculture research, yet many of the conditions under which those results were generated are rapidly changing. These relative exposure maps can inform where climate adaptation management applications may be most necessary over time.Input Layers: Disturbance Frequency (DIST)Data was sourced from the Northeastern Forest Health Atlas in the form of a disturbance vector shapefile representing the occurrence of all disturbances across the northeast since 1997. Two different datasets were produced. One was produced incorporating all disturbances, which used no filtering. A climate-based disturbance layer was also produced, filtering to only include disturbances stemming from drought, flooding, frost, tornadoes, hurricanes, or winter precipitation. Beyond the filtering stage, the remaining methods remain constant for each layer. Features were then dissolved by year using the “Dissolve” geoprocessing tool, and overlapping disturbances were counted using “Union” function followed by a “Count Overlapping Features” function. The polygon-based shapefile was then converted to a 30m raster, while backfilling null values to be zero. Values were then rescaled to a 0- 100 scale using linear methods. VMC.1732.3804mySQL/femc/data/archive/project/mapping-cc-exposure-4-ne-trees/dataset/input-layers-disturbance-frequency-dist2021-10-28No AttributesNo Definitionno data