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Spatial Extent of Data

USGS Data Source

ISO 19115 Topic Category

environment, biota

Other Subject Keywords

population models, bias, detection process, sage-grouse, population trends, Centrocercus urophasianus

Place Keywords

Nevada, United States

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

Get Data and Metadata
Author(s) Adrian P Monroe orcid, Greg Wann, Cameron Aldridge orcid, Peter S Coates orcid
Publication Date 2019
Beginning Date of Data 2012-04-23
Ending Date of Data 2017-06-30
Data Contact
Adrian P Monroe
DOI https://doi.org/10.5066/P91L28PG
Citation Monroe, A.P., Wann, G., Aldridge, C., and Coates, P.S., 2019, Simulation to evaluate response of population models to annual trends in detectability: U.S. Geological Survey data release, https://doi.org/10.5066/P91L28PG.
Metadata Contact
Adrian P Monroe
Metadata Date 2020-08-20
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-09-03T10:21:07.825Z