For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment-visit https://www.usgs.gov/ or call 1-888-ASK-USGS (1-888-275-8747).For an overview of USGS information products, including maps, imagery, and publications, visit https:/store.usgs.gov.Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.Suggested citation Coates, P.S., Prochazka, B.G., Ricca, M.A., Wann, G.T., Aldridge, C.L., Hanser, S.E., Doherty, K.E., O'Donnell, M.S., Edmunds, D.R., and, Espinosa, S.P., 2017, Hierarchical population monitoring of greater sage-grouse (Centrocercus urophasianus) in Nevada and California-Identifying populations for management at the appropriate spatial scale: U.S. Geological Survey Open-File Report 2017-1089, 49 p., https://doi.org/10.3133/ofr20171089. ISSN 2331ISSN -1258 iii Preface This study was conducted to provide timely scientific information to establish an adaptive monitoring framework and modeling approach for greater sage-grouse (Centrocercus urophasianus) population trends at multiple spatial scales in northeastern California and Nevada. These findings fill a prominent information gap, and heighten understanding of sage-grouse population trends at nested spatial and temporal scales. Importantly, this study highlights an example of an 'early warning system' that can be carried out annually to identify where and when management action could be applied to benefit declining populations of sage-grouse at the appropriate scale. The rules of this framework can be modified to identify populations responding positively to management actions, and could ultimately be implemented across the geographic range of sage-grouse. This report is also intended to provide timely scientific information and inform newly established State and Federal monitoring programs, particularly those of the Bureau of Land Management and U.S. Forest Service.
AbstractPopulation ecologists have long recognized the importance of ecological scale in understanding processes that guide observed demographic patterns for wildlife species. However, directly incorporating spatial and temporal scale into monitoring strategies that detect whether trajectories are driven by local or regional factors is challenging and rarely implemented. Identifying the appropriate scale is critical to the development of management actions that can attenuate or reverse population declines. We describe a novel example of a monitoring framework for estimating annual rates of population change for greater sage-grouse (Centrocercus urophasianus) within a hierarchical and spatially nested structure. Specifically, we conducted Bayesian analyses on a 17-year dataset (2000)(2001)(2002)(2003)(...