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Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (5) Types Downloadable (5) GeoTIFF (5) Map Service (5) Contacts Esther D Stroh U.S. Geological Survey - ScienceBase U.S. Geological Survey Matthew A Struckhoff CERC Data Managers More... Categories Data (5) Tag Types Theme (5) Place (5) Science Themes (3) Drought, Fire and Extreme Weather (3) Organization (3) Wildlife and Plants (3) Harvest Set (1) More... Tag Schemes None (5) U.S. Board on Geographic Names (3) USGS Thesaurus (1) USGS (1) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (3) ISO 19115 Topic Category (2) https://www.sciencebase.gov/vocab/category/NCCWSC/DroughtFireandExtremeWeather (3) More... View Results as: JSON ATOM CSV

Reference period and projected environmental suitability scores-Oaks These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Predictive Model of Probability of Ignition in the Mojave Desert 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, All tags... biota, burn severity, desert ecosystems, disturbance, ecosystems, field methods, fire, fire frequency, fire regimes, fires, geographic information systems, heterogeneity, igntion probability, imageryBaseMapsEarthCover, invasive species, plants (organisms), remote sensing, spatial models, vegetation, Fewer tags Reference period and projected environmental suitability scores-Mesquite These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Reference period and projected environmental suitability scores-Pinyon-Juniper These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance.... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Climate Change, Drought, Fire and Extreme Weather, Environmental Suitability Models, Fire, LANDFIRE, All tags... MAXENT, New Mexico, Oklahoma, Plants, South Central CASC, Texas, Wildlife and Plants, Fewer tags Island of Hawaiʻi lidar-based habitat suitability for ʻākohekohe (Palmeria dolei) conservation introductions, 2023 This dataset comprises high-resolution geotif files representing various aspects of the ʻākohekohe (Palmeria dolei) potential habitat on the Island of Hawaiʻi. It includes a habitat suitability map showing average suitability scores, a map of homogenous forested areas (HFAs) depicting clusters with consistent suitability scores, and a map of pixel-wise standard deviation across habitat suitability models. These maps were generated through a comprehensive analysis using lidar-based metrics, offering detailed insights into the habitat preferences of ʻākohekohe. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Assisted colonization, Climate Change, Conservation Introduction, Endangered Species, Hawaii, All tags... Island of Hawaiʻi, Maxent, Pacific Islands, SDM, Translocation, USGS Science Data Catalog (SDC), Wildlife Biology, biota, species distribution model, Fewer tags