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

Data e Risorse

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identifier USGS:5ce7057fe4b0f6dd9d25505b
metadata_type geospatial
modified 20200820
old-spatial -119.9900, 34.9900, -114.0300, 41.9900
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
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theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • bias
  • biota
  • centrocercus-urophasianus
  • ckan
  • detection-process
  • environment
  • geo
  • geoss
  • national
  • nevada
  • north-america
  • population-models
  • population-trends
  • sage-grouse
  • united-states
  • usgs-5ce7057fe4b0f6dd9d25505b
isopen False
license_id notspecified
license_title License not specified
maintainer Adrian P Monroe
maintainer_email amonroe@usgs.gov
metadata_created 2025-11-22T03:16:26.367604
metadata_modified 2025-11-22T03:16:26.367608
notes 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
num_resources 2
num_tags 18
title Simulation to evaluate response of population models to annual trends in detectability