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KiteNest modeling scripts and output (ver. 2.0, August 2022)
KiteNest is a spatially explicit model of Everglades snail kite (Rostrhamus sociabilis plumbeus) relative nest site selection that quantifies the relationships between a range of environmental factors and nest site selection specific to the southern portion of the species' range. Using hydrologic conditions such as mean 2-week water depth and water depth change rate, days since the last fire, distance to the nearest fire within the last year, and percent canopy cover, KiteNest provides biweekly probabilities of relative snail kite nest site selection on a 400 x 400 m grid. Here we provide the scripts to extract and calculate the model inputs, generate the model, validate the model, and produce predictions of snail kite relative nest site selection across the landscape from 1996 through 2017. A NetCDF of these predicted probabilities is also provided for users. For full details of the model development process, see Larger Work citation.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Laura E D'acunto",
"@type": "vcard:Contact",
"hasEmail": "mailto:ldacunto@usgs.gov"
}
|
| description | KiteNest is a spatially explicit model of Everglades snail kite (Rostrhamus sociabilis plumbeus) relative nest site selection that quantifies the relationships between a range of environmental factors and nest site selection specific to the southern portion of the species' range. Using hydrologic conditions such as mean 2-week water depth and water depth change rate, days since the last fire, distance to the nearest fire within the last year, and percent canopy cover, KiteNest provides biweekly probabilities of relative snail kite nest site selection on a 400 x 400 m grid. Here we provide the scripts to extract and calculate the model inputs, generate the model, validate the model, and produce predictions of snail kite relative nest site selection across the landscape from 1996 through 2017. A NetCDF of these predicted probabilities is also provided for users. For full details of the model development process, see Larger Work citation. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P97QIYWF",
"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.61f80231d34e622189c24d05.xml"
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_61f80231d34e622189c24d05 |
| keyword |
[
"Everglades",
"Southern Florida",
"USGS-EMA-LOW-SB T&E: Listed birds",
"USGS:61f80231d34e622189c24d05",
"biota",
"decision support methods",
"endangered species",
"statistical modeling",
"wetland restoration"
]
|
| modified | 2023-01-18T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -81.3699, 25.2242, -80.2160, 26.6891 |
| theme |
[
"Geospatial"
]
|
| title | KiteNest modeling scripts and output (ver. 2.0, August 2022) |
