Forest Ecosystem Monitoring Cooperative(802) 656-0683femc@uvm.eduwww.uvm.edu/femc705 Spear StreetSouth BurlingtonVermont05403United States of AmericaForest Ecosystem Monitoring Cooperative (FEMC) leadArborVox partnerForest Ecosystem Monitoring Cooperative (FEMC) volunteersMapping Climate Change Exposure for Northeastern Tree SpeciesThe 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.Mapping Climate Change Exposure for Northeastern Tree SpeciesPontiusJenniferDuncanJamesD'AmatoAnthonyKopackiLukasclimate changenortheastern forestsclimate and landscape changeclimate change exposurenew england tree speciesInput Layers: Climate Deviation from TerraClimate (CLIM)2021-10-28Data was obtained from TerraClimate climate principal components analysis, which are the product used to assess climate deviation under +2C and +4C warming scenarios. We elected to use the principal component analysis with the top 5, unique components, with reclassified values. Original values were on a 0- 1 scale, but were rescaled to 0- 100 to conform to other model variables.Determine climate variability across the region using a principal component analysis20221212225531_CLIM Rasters.zipVMC.1732.3805mySQLKopacki, L (2022) Input Layers: Climate Deviation from TerraClimate (CLIM). FEMC. Available online at: https://www.uvm.edu/femc/data/archive/project/mapping-cc-exposure-4-ne-trees/dataset/input-layers-climate-deviation-from-terraclimatehttps://vmc.w3.uvm.edu/vmcdevel/CI4/data/archive/project/mapping-cc-exposure-4-ne-trees/dataset/input-layers-climate-deviation-from-terraclimate