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Found 2194 dataset(s) matching "SPECIES DISTRIBUTION MODELS".
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June 2016 VersionData Content:This data set contains all CalWater 2.2.1 Planning Watersheds (PWS) where CDFW has documented coho salmon to be present during or after 1990. It was developed for the...
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These data contain the results from the North American Bat Monitoring Program's (NABat) species distribution model (SDM) for the northern long-eared bat (Myotis septentrionalis). The provided...
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As part of the Gulf of Mexico Marine Assessment Program for Protected Species (GOMMAPPS), the NOAA Southeast Fisheries Science Center (SEFSC) and the U.S. Fish and Wildlife Service (FWS) conducted...
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The polygon data in the geodatabase represent range-wide habitat suitability model predictions for five species of herpetofauna: gopher tortoise (Gopherus polyphemus), southern hognose snake...
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This data layer depicts the weekly relative effective waterfowl populations across the United States based upon predicted abundance and viral prevalence by species. These data have been produced...
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This data contains the mean and standard deviations for movement rates for silver carp in the upper Mississippi River 2014 and 2021. The data are summaries of the posterior distribution from a...
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As part of the Atlantic Marine Assessment Program for Protected Species (AMAPPS), the NOAA Southeast Fisheries Science Center (SEFSC), in collaboration with the Northeast Fisheries Science Center...
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Understanding the impacts of landscape change on species distributions can help inform decision-making and conservation planning. Unfortunately, empirical data that span large spatial extents...
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The raster data in the geodatabase represent range-wide habitat suitability model predictions for five species of herpetofauna: gopher tortoise (Gopherus polyphemus), southern hognose snake...
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
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The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al....
