Datasets
| Data Availability | Name | Objective | Description | Dates |
|---|---|---|---|---|
| Downloadable | Climate Change Exposure Mapping- JPEG Exposure by Species (All Disturbance), Hi and Low Emissions | Maps of low emissions (+2c, GCM 4.5) and hi emissions (+4c, GCM 8.5) scenarios with all disturbances included. Ecosystem aggregates included within the folders as well. | 2021-10-28 (ongoing) | |
| Downloadable | Ecosystem Aggregate Raster Layers- All Scenarios | Rasters representing 6 combinations between climate disturbance, all disturbance, and no disturbance for low (+2c/ GCM 4.5) and high (+4c/ GCM 8.5) emissions scenarios. | 2021-10-28 (ongoing) | |
| Downloadable | Input Layers: Climate Deviation from TerraClimate (CLIM) | Determine climate variability across the region using a principal component analysis | Data 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. Read More | 2021-10-28 (ongoing) |
| Downloadable | Input Layers: Disturbance Frequency (DIST) | Determine areas of increased disturbance return | 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.
Read More | 2021-10-28 (ongoing) |
| Downloadable | Input Layers: Predicted Change in Suitable Habitat (PCSH) GCM 4.5 & 8.5 | To determine changes in suitable habitat for northeastern forest species | Data was obtained from the Climate Change Tree Atlas using GCM4.5 and GCM 8.5 layers, with values representing the difference in habitat verses current relative importance values. For each species, a layer was generated to account for each of these scenarios. From the original layers, cells valued at 200 (cells that were not modeled) and 300 (cells that weren’t suitable under the current scenario) were removed and remaining values were rescaled to a -100 to 100 scale. Read More | 2021-10-28 (ongoing) |
| Downloadable | Input Layers: Species Abundance (ABUND) | Identify the distribution of species abundance across the region | Abundance layers for 14 NE forest species representing their % share of total forest basal area. | 2021-10-28 to 2022-12-31 |
| Downloadable | Project Overview and Results (Powerpoint) | An overview of the project as presented during the 2022 FEMC Conference. | 2021-10-28 (ongoing) | |
| Downloadable | Raster Layers- High Emssions Scenario, All Disturbances Included (GDB) | Contained within this geodatabase are 14 species maps and a community exposure layer from the given scenario. Documentation surrounding naming conventions is contained within the folders. For any da ta issues, contact lkopacki@uvm.edu. Read More | 2021-10-28 (ongoing) | |
| Downloadable | Raster Layers- High Emssions Scenario, Climate Change-Specific Disturbances Included (GDB) | Contained within this geodatabase are 14 species maps and a community exposure layer from the given scenario. Documentation surrounding naming conventions is contained within the folders. For any da ta issues, contact lkopacki@uvm.edu. Read More | 2021-10-28 (ongoing) | |
| Downloadable | Raster Layers- High Emssions Scenario, No Disturbances Included (GDB) | Contained within this geodatabase are 14 species maps and a community exposure layer from the given scenario. Documentation surrounding naming conventions is contained within the folders. For any da ta issues, contact lkopacki@uvm.edu. Read More | 2021-10-28 (ongoing) | |
| Downloadable | Raster Layers- Low Emssions Scenario, All Disturbances Included (GDB) | Contained within this geodatabase are 14 species maps and a community exposure layer from the given scenario. Documentation surrounding naming conventions is contained within the folders. For any da ta issues, contact lkopacki@uvm.edu. Read More | 2021-10-28 (ongoing) | |
| Downloadable | Raster Layers- Low Emssions Scenario, Climate Change- Specific Disturbances Included (GDB) | Contained within this geodatabase are 14 species maps and a community exposure layer from the given scenario. Documentation surrounding naming conventions is contained within the folders. For any da ta issues, contact lkopacki@uvm.edu. Read More | 2021-10-28 (ongoing) | |
| Description only | Raster Layers- Low Emssions Scenario, No Disturbances Included (GDB) | Contained within this geodatabase are 14 species maps and a community exposure layer from the given scenario. Documentation surrounding naming conventions is contained within the folders. For any da ta issues, contact lkopacki@uvm.edu. Read More | 2021-10-28 (ongoing) |