Bayesian network model detection casefile

This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mice presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus polionotus ssp). The annual probability of beach mice presence is predicted from both local and neighborhood habitat characteristics that could be influenced by management actions. When coupled with established population objectives, this study can provide insight into how much habitat is available, how much more is needed, and where conservation or restoration efforts can most efficiently achieve established objectives. The results could be used to help guide strategic habitat conservation and adaptive management of beach mice.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
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identifier USGS:5f8ee78782ce06b040efc7ae
metadata_type geospatial
modified 20210106
old-spatial -87.521631775, 29.64109959, -85.301664385, 30.424720137
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 29cab4cecb13c60f5280f345e40c4cc5ac2558ca
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spatial {"type": "Polygon", "coordinates": [[[-87.521631775, 29.64109959], [-87.521631775, 30.424720137], [ -85.301664385, 30.424720137], [ -85.301664385, 29.64109959], [-87.521631775, 29.64109959]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • adaptive-management
  • amerigeo
  • amerigeoss
  • bayesian-network
  • beach-mouse
  • ckan
  • coastal-dunes
  • downlisting-criteria
  • florida
  • geo
  • geoss
  • gulf-of-mexico
  • landscape-conservation
  • national
  • north-america
  • strategic-habitat-conservation
  • united-states
  • usgs-5f8ee78782ce06b040efc7ae
isopen False
license_id notspecified
license_title License not specified
maintainer James Patrick Cronin
maintainer_email jcronin@usgs.gov
metadata_created 2025-11-20T11:52:05.030048
metadata_modified 2025-11-20T11:52:05.030052
notes This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mice presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus polionotus ssp). The annual probability of beach mice presence is predicted from both local and neighborhood habitat characteristics that could be influenced by management actions. When coupled with established population objectives, this study can provide insight into how much habitat is available, how much more is needed, and where conservation or restoration efforts can most efficiently achieve established objectives. The results could be used to help guide strategic habitat conservation and adaptive management of beach mice.
num_resources 2
num_tags 18
title Bayesian network model detection casefile