Spatial scale selection for greater sage-grouse population trends, Version 1.0.0
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 (Artemisia spp.) cover from a remote sensing product (Rigge et al., 2021; Monroe et al., 2022a), we used a scale selection approach (Frishkoff et al., 2019) to jointly estimate the scale of effect and the effect of sagebrush cover in the surrounding landscape on sage-grouse population trends (Monroe et al., 2022b). State-space models in a Bayesian framework were run on parallel processors of a 2.0 GHz Intel(R) Xeon(R) CPU with sufficient RAM (up to 70 GB). Although code could be modified for use with more limited resources, analyses may then take longer, or may not examine all spatial scales considered in this study.
Citation Information
Publication Year | 2022 |
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Title | Spatial scale selection for greater sage-grouse population trends, Version 1.0.0 |
DOI | 10.5066/P9WC5BEP |
Authors | Adrian P Monroe, Julie A Heinrichs, Ashley L Whipple, Michael O'Donnell, David R Edmunds, Cameron Aldridge |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Fort Collins Science Center |