Modeling bird species richness for the southeastern United States (2001, 2006, and 2011)
These datasets are the inputs, script, and output of bird species richness modeling for the southeastern United States in the years 2001, 2006, and 2011 using general joint attribute modeling (GJAM). Inputs include environmental predictor variables for Breeding Bird Survey routes, bird counts from Breeding Bird Survey observations, and environmental predictor variables on a half-degree grid for the study area. The R script uses these inputs to create a general joint attribute model to predict bird abundance by species on a half-degree grid in for the study area in 2001, 2006, and 2011. The output file summarizes the results as bird species richness by state, land cover class, and year.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Katherine Warnell",
"@type": "vcard:Contact",
"hasEmail": "mailto:katie.warnell@duke.edu"
}
|
| description | These datasets are the inputs, script, and output of bird species richness modeling for the southeastern United States in the years 2001, 2006, and 2011 using general joint attribute modeling (GJAM). Inputs include environmental predictor variables for Breeding Bird Survey routes, bird counts from Breeding Bird Survey observations, and environmental predictor variables on a half-degree grid for the study area. The R script uses these inputs to create a general joint attribute model to predict bird abundance by species on a half-degree grid in for the study area in 2001, 2006, and 2011. The output file summarizes the results as bird species richness by state, land cover class, and year. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9MF0K9X",
"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.5e90930f82ce172707ec271e.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5e90930f82ce172707ec271e |
| keyword |
[
"Alabama",
"Arkansas",
"Florida",
"Georgia",
"Louisiana",
"Mississippi",
"Missouri",
"North Carolina",
"South Carolina",
"Tennessee",
"USGS:5e90930f82ce172707ec271e",
"biota",
"birds",
"population and community ecology"
]
|
| modified | 2020-08-20T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -96.2402, 24.0063, -74.7949, 40.7140 |
| theme |
[
"Geospatial"
]
|
| title | Modeling bird species richness for the southeastern United States (2001, 2006, and 2011) |
