Sagebrush (Artemisia spp.) scale of effect for Greater Sage-grouse (Centrocercus urophasianus) population trends in southwest Wyoming, USA 2003-2019
Dates
Publication Date
2022-10-05
Start Date
2003-03-15
End Date
2019-05-15
Citation
Monroe, A.P., Heinrichs, J.A., Whipple, A.L., O'Donnell, M.S., Edmunds, D.R., and Aldridge, C.L., 2022, Sagebrush (Artemisia spp.) scale of effect for Greater Sage-grouse (Centrocercus urophasianus) population trends in southwest Wyoming, USA 2003-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9KDOBM2.
Summary
The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male Greater Sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush cover from the Rangeland Condition Monitoring Assessment and Projection (RCMAP), we used a scale selection approach to jointly estimate the scale of effect and the effect of sagebrush cover in the surrounding landscape for sage-grouse population trends. We estimated these parameters using a state-space model fit with a Bayesian approach. Data formatting necessary for this analysis produced data stored in two lists, one for model [...]
Summary
The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male Greater Sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush cover from the Rangeland Condition Monitoring Assessment and Projection (RCMAP), we used a scale selection approach to jointly estimate the scale of effect and the effect of sagebrush cover in the surrounding landscape for sage-grouse population trends. We estimated these parameters using a state-space model fit with a Bayesian approach. Data formatting necessary for this analysis produced data stored in two lists, one for model constants (nimbleconstants_sg_wlci.txt, including number of years, number of sites [leks], number of scales, number of visits, indicators for site and year, and number of detection parameters) and one for model data (nimbledata_sg_wlci.txt, including lek counts/surveys in both long- and array-format, a matrix for detection covariates, an array for sagebrush cover [scaled], and unscaled arrays for sagebrush, ordinal date, and time since sunrise).
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data_sg_scale_selection.xml Original FGDC Metadata
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nimbleconstants_sg_wlci.txt
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nimbledata_sg_wlci.txt
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Related External Resources
Type: Related Primary Publication
Monroe, A. P., Heinrichs, J. A., Whipple, A. L., O’Donnell, M. S., Edmunds, D. R., and Aldridge, C. L., 2022, Spatial scale selection for informing species conservation in a changing landscape. In Ecosphere (Vol. 13, Issue 12). Wiley. https://doi.org/10.1002/ecs2.4320.
Datasets provided here were used to analyze trends in sage-grouse lek counts while estimating the scale of effect of sagebrush cover (Monroe et al., 2022, Ecosphere). Data are formatted to be used directly with the software NIMBLE (v. 0.12.1; de Valpine et al., 2017) to fit a state-space model in a Bayesian approach (Monroe et al., 2022, US Geological Survey software release). These datasets are made available so our analyses may be reproduced or applied to future research questions.
