Bayesian network model that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL

The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The U.S. Geological Survey partnered with the U.S. Fish and Wildlife Service (USFWS), U.S. Army Corps of Engineers, University of Georgia, and their conservation partners to support adaptive management of Gulf Sturgeon (Acipenser oxyrinchus desotoi) by developing a quantitative, spatial model. The model is a Bayesian network that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in estuarine critical habitat. The model predicts habitat availability (days) for 75 alternative physiological and habitat...

Tags: Apalachicola Bay, Bayesian network, Gulf coast, Sturgeons/Paddlefishes, adaptive management, All tags... decision support tools, environment, estuaries, farming, habitat objectives, landscape conservation, recovery objectives, spatial models, strategic habitat conservation, water condition, Fewer tags

Predictive Model of Burn Severity (dNBR) in the Mojave Desert

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, All tags... biota, burn severity, dNBR, desert ecosystems, disturbance, ecosystems, field methods, fire, fire frequency, fire regimes, fires, geographic information systems, heterogeneity, imageryBaseMapsEarthCover, invasive species, plants (organisms), remote sensing, spatial models, vegetation, 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

Predictive Model of Fire Frequency in the Mojave Desert

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, All tags... biota, burn severity, desert ecosystems, disturbance, ecosystems, field methods, fire, fire frequency, fire regimes, fire return interval, fires, geographic information systems, heterogeneity, imageryBaseMapsEarthCover, invasive species, plants (organisms), remote sensing, spatial models, vegetation, Fewer tags

Data for Gulf Sturgeon Bayesian Network Model

This USGS data release represents tabular and geospatial data for the Gulf Sturgeon Bayesian Network Model. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The data release was produced in compliance with 'open data' requirements as way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Bayesian network model that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL (Tabular datasets) 2. Bayesian network model outputs of...

Tags: Apalachicola Bay, Bayesian network, Estuaries, Gulf coast, Sturgeons/Paddlefishes, All tags... USGS Science Data Catalog (SDC), adaptive management, biota, decision support tools, environment, habitat objectives, landscape conservation, recovery objectives, spatial models, strategic habitat conservation, water condition, Fewer tags

Bayesian network model outputs of the probability of habitat availability per winter month for young of year Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL for 35 physiological and habitat scenarios

This USGS data release represents 35 geospatial datasets that were the Gulf Sturgeon Bayesian network model's outputs. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast rivers, estuaries, and coastal waters from Louisiana to Florida. The U.S. Geological Survey partnered with the U.S. Fish and Wildlife Service (USFWS), U.S. Army Corps of Engineers, University of Georgia, and their conservation partners to support adaptive management of Gulf Sturgeon (Acipenser oxyrinchus desotoi) by developing a quantitative, spatial model. The model is a Bayesian network that predicts the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in...

Tags: Apalachicola Bay, Bayesian network, Estuaries, Gulf coast, Sturgeons/Paddlefishes, All tags... adaptive management, biota, decision support tools, environment, habitat objectives, landscape conservation, recovery objectives, spatial models, strategic habitat conservation, water condition, Fewer tags