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Simulation to evaluate response of population models to annual trends in detectability
In 'Simulation to evaluate response of population models to annual trends in detectability', we provide data and R code necessary to create simulation scenarios and estimate trends with different population models (Monroe et al. 2019). Literature cited: Monroe, A. P., G. T. Wann, C. L. Aldridge, and P. S. Coates. 2019. The importance of simulation assumptions when evaluating detectability in population models. Ecosphere 10(7):e02791. 10.1002/ecs2.2791
Complete Metadata
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[
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|
| contactPoint |
{
"fn": "Adrian P Monroe",
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"hasEmail": "mailto:amonroe@usgs.gov"
}
|
| description | In 'Simulation to evaluate response of population models to annual trends in detectability', we provide data and R code necessary to create simulation scenarios and estimate trends with different population models (Monroe et al. 2019). Literature cited: Monroe, A. P., G. T. Wann, C. L. Aldridge, and P. S. Coates. 2019. The importance of simulation assumptions when evaluating detectability in population models. Ecosphere 10(7):e02791. 10.1002/ecs2.2791 |
| distribution |
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| identifier | http://datainventory.doi.gov/id/dataset/USGS_5ce7057fe4b0f6dd9d25505b |
| keyword |
[
"Centrocercus urophasianus",
"Nevada",
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"United States",
"bias",
"biota",
"detection process",
"environment",
"population models",
"population trends",
"sage-grouse"
]
|
| modified | 2020-08-20T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
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| spatial | -119.9900, 34.9900, -114.0300, 41.9900 |
| theme |
[
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|
| title | Simulation to evaluate response of population models to annual trends in detectability |
