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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{
"fn": "Adrian P Monroe",
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"hasEmail": "mailto:amonroe@usgs.gov"
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|
| 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 |
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| identifier | http://datainventory.doi.gov/id/dataset/USGS_5ce7057fe4b0f6dd9d25505b |
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[
"Centrocercus urophasianus",
"Nevada",
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"detection process",
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|
| modified | 2020-08-20T00:00:00Z |
| publisher |
{
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| title | Simulation to evaluate response of population models to annual trends in detectability |
