Filters: Contacts: {oldPartyId:17044} (X) > Types: Map Service (X) > Extensions: Raster (X)
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We evaluated the expected success of habitat recovery in priority areas under 3 different restoration scenarios: passive, planting, and seeding. Passive means no human intervention following a fire disturbance. Under a planting scenario, field technicians methodically plant young sagebrush saplings at the burned site. The seeding scenario involves distributing large amounts of sagebrush seeds throughout the affected area.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: biota,
fires,
habitat alteration and disturbance,
human impacts,
native species,
These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Baja California,
Botany,
California,
Ecology,
This dataset contains a raster representing current (2017-2020) core sagebrush, growth opportunity areas, and other rangelands on tribal and federal lands that are estimated to be climate resilient into the future (2030-2060). We determined climate-resiliency by comparing current (2017-2020) core sagebrush, growth opportunity areas, and other rangelands to estimated future (2030-2060) conditions of core and growth opportunity areas under mid-century climate change (Representative Concentration Pathway 8.5) conditions (Doherty et al. 2022). The Department of the Interior (DOI) Sagebrush Keystone Initiative (KI) team worked with partners to identify areas within the sagebrush biome for strategic investments in conservation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: California,
Colorado,
Conservation,
Idaho,
Montana,
We evaluated nest site selection and nest survival both before and after a fire disturbance occurred. We then combined those surfaces to determine the areas which were most heavily impacted by the fire.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: biota,
fires,
habitat alteration and disturbance,
human impacts,
native species,
These data represent occupancy estimates for western bumble bee across the western continental United States and the spatial variation in detection probabilities that occur during bumble bee surveys. This product contains five raster layers (appearing as separate bands in a multi-band raster). The first two bands represent the predicted occupancy of western bumble bee in 1998 and 2018. We modeled western bumble bee occupancy as a function of: latitude, longitude, elevation, year, and land cover. The last three bands represent the spatial variation in detection probabilities predicted to occur for surveys conducted across the western United States on three dates (May 15, July 15, and September 15). We modeled detection...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Bombus occidentalis,
California,
Colorado,
Detection Probability,
This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Mojave Desert,
Mojave Desert,
Predictive models,
Random forests,
This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Maxent,
Mojave Desert,
Mojave Desert,
Predictive models,
These data are a habitat restoration index based on the intersection of loss of habitat selected by sage-grouse and loss of habitat contributions to nest survival following wildfire.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: biota,
fires,
habitat alteration and disturbance,
human impacts,
native species,
This raster dataset represents spatially explicit predictions of fire frequency in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 through 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Mojave Desert,
Mojave Desert,
Predictive models,
Random forests,
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