Cronin, J.P., Dale, L.L., Brink, V.L., Tirpak, B.E., and Tirpak, J.M., 2021, Data for Gulf Sturgeon Bayesian Network Model: U.S. Geological Survey data release, https://doi.org/10.5066/P9KNSKMT.
Summary
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 the probability of habitat [...]
Summary
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 the probability of habitat availability (days) per winter month for age-0 Gulf Sturgeon at a 30-m pixel scale in Apalachicola Bay, FL for 35 physiological and habitat scenarios (Raster datasets)
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Related External Resources
Type: Related Primary Publication
Dale, L.L., Cronin, J.P., Brink, V.L., Tirpak, B.E., Tirpak, J.M. and Pine, W.E., III, 2021, Identifying information gaps in predicting winter foraging habitat for juvenile Gulf Sturgeon: Transactions of the American Fisheries Society, Online Early, https://doi.org/10.1002/tafs.10288.
The purpose of this data is to provide the Gulf Sturgeon Bayesian network model and its outputs of predicted probability of habitat availability (days) at a 30-m pixel scale in Apalachicola Bay, FL.
