Data for Brown Pelican Bayesian Network Model
This U.S. Geological Survey (USGS) data release represents data for the creation of a spatially explicit Bayesian network model that predicts Brown Pelican nests on islands across the U.S. portion of the Gulf of Mexico.
Well-targeted management plans are needed to achieve Brown Pelican population objectives (number of breeding pairs) because conservation and restoration opportunities are limited and costly. To aid the design of such plans, we estimated population objectives for 10 U.S. Fish and Wildlife Service Gulf Coast Biological Planning Units (BPUs). We then developed a Bayesian network model that uses an island’s characteristics to predict pelican nest count, a proxy measure for breeding pairs. We used the model and 2000-2015 bird survey data to estimate each BPU’s total nest count given the existing islands’ characteristics. We then used the model to hypothesize island-specific actions and simulate management scenarios that implemented these actions opportunistically (randomly selected islands) or strategically (target islands with the highest nest count) until the population objective was met. We then estimated each BPU’s (1) total number of islands; (2) total nesting, roosting, and loafing habitat needed to achieve its population objective (habitat objective); and (3) the effort required to achieve the habitat objective (management efficiency).
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "James Patrick Cronin",
"@type": "vcard:Contact",
"hasEmail": "mailto:jcronin@usgs.gov"
}
|
| description | This U.S. Geological Survey (USGS) data release represents data for the creation of a spatially explicit Bayesian network model that predicts Brown Pelican nests on islands across the U.S. portion of the Gulf of Mexico. Well-targeted management plans are needed to achieve Brown Pelican population objectives (number of breeding pairs) because conservation and restoration opportunities are limited and costly. To aid the design of such plans, we estimated population objectives for 10 U.S. Fish and Wildlife Service Gulf Coast Biological Planning Units (BPUs). We then developed a Bayesian network model that uses an island’s characteristics to predict pelican nest count, a proxy measure for breeding pairs. We used the model and 2000-2015 bird survey data to estimate each BPU’s total nest count given the existing islands’ characteristics. We then used the model to hypothesize island-specific actions and simulate management scenarios that implemented these actions opportunistically (randomly selected islands) or strategically (target islands with the highest nest count) until the population objective was met. We then estimated each BPU’s (1) total number of islands; (2) total nesting, roosting, and loafing habitat needed to achieve its population objective (habitat objective); and (3) the effort required to achieve the habitat objective (management efficiency). |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9JODDTZ",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.62bb5e3bd34ee89031625fe3.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_62bb5e3bd34ee89031625fe3 |
| keyword |
[
"Barrier Island",
"Bayesian network",
"Gulf of Mexico",
"USGS:62bb5e3bd34ee89031625fe3",
"United States",
"adaptive management",
"coastal ecosystems",
"conceptual modeling",
"environment",
"habitats",
"natural resource management",
"population and community ecology",
"recovery objectives",
"species conservation",
"strategic habitat conservation",
"wildlife population management"
]
|
| modified | 2025-09-19T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -97.8163, 24.2465, -79.4551, 31.2523 |
| theme |
[
"geospatial"
]
|
| title | Data for Brown Pelican Bayesian Network Model |
