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This data set is comprised of categorical values assigned based on size of contiguous habitat blocks of WAFWA Elk distribution in forested areas within the Middle Rockies Ecoregion.
Aerial Insect and Disease Detection Survey(ADS) for insect and disease activity in 2003. The ADS data was obtained to be used for BLMs REA Process for the Middle Rockies ecoregion. The original data was combined from USFS regions within the ecoregion then clipped to the Middle Rockies Level III ecoregion plus a buffer that consists of the 5th level Hydrologic Unit Code (HUC) watersheds that intersect the ecoregion.
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
Aerial Insect and Disease Detection Survey(ADS) for insect and disease activity in 2003. The ADS data was obtained to be used for BLMs REA Process for the Middle Rockies ecoregion. The original data was combined from USFS regions within the ecoregion then clipped to the Middle Rockies Level III ecoregion plus a buffer that consists of the 5th level Hydrologic Unit Code (HUC) watersheds that intersect the ecoregion.
Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of simulated historical fire regimes and vegetation conditions using the LANDSUM landscape succession and disturbance dynamics model. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National...
Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - White spruce has been the most susceptible tree or shrub to mortality from insect and disease agents within the CYR study area, but the severity of its damage has not been consistently identified. Northern spruce engraver beetle caused approximately 5 times more observed damage by area than spruce beetle. Much of the spruce...
Some of the YKL rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - During winter, caribou are associated with lower elevations and areas with an adequate quantity of winter forage; primarily ground dwelling lichens. A study in eastern Alaska showed that caribou strongly selected against burned areas greater than 35 years old throughout the winter and that lichen availability was a large factor...
This data set contains the results from a weighted sum of input layers with the mean value calculated for each 6th level HUC in the Northwest PlainsEcoregion.
Aerial Insect and Disease Detection Survey(ADS) for insect and disease activity in 1995. The ADS data was obtained to be used for BLMs REA Process for the Northwestern Plains ecoregion. The original data was combined from USFS regions within the ecoregion then clipped to the Northwestern Plains Level III ecoregion plus a buffer that consists of the 5th level Hydrologic Unit Code (HUC) watersheds that intersect the ecoregion.
Aerial insect and disease survey for 2009, USDA Forest Service, Region 1. Should be used in conjunction with the fly/no fly layer fnf09 to determine which areas were or were not surveyed for 2009.
Aerial Insect and Disease Detection Survey(ADS) for Mountain Pine Beetle activity in 1994 - 2010. The ADS data was obtained to be used for BLMs REA Process for the Northwestern Great Plains ecoregion. The original data was combined from USFS regions within the ecoregion then clipped to the Northwestern Great Plains Level III ecoregion plus a buffer that consists of the 5th level Hydrologic Unit Code (HUC) watersheds that intersect the ecoregion.
A 10 km moving window was used on the Other Conifer conservation element to determine the relative density of Other Conifer within the moving window.
The 2030 Ponderosa pine viablitly was average based on the 7 climate models and clipped to the ecoregion.
The FSim burn probability was used to determine the burn probability of the other conifer vegetation communities. This layer was used in the intactness management question and the results weren't rolled up to an analysis unit.
The FSim burn probability was used to determine the burn probability of the juniper vegetation communities. This layer was used in the intactness management question and the results weren't rolled up to an analysis unit.
The FSim burn probability was used to determine the majority (most common) burn probability within a 4km analysis unit in areas with other conifer vegetation communities withing the ecoregion.
The FSim burn probability was used to determine the majority (most common) burn probability within a 4km analysis unit in areas with aspen vegetation communities withing the ecoregion.
The 2030 Western juniper viablitly was average based on the 7 climate models and clipped to the ecoregion.
USGS National Boundary Dataset (NBD) in Wisconsin State or Territory (published 20240215) GeoPackage
Geospatial data is comprised of government boundaries.
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