Greater Sage-Grouse and Mule Deer Population Viability Analysis Across Scales Active
USGS and Colorado State University scientists will use data about sage-grouse and mule deer population data across Wyoming to evaluate the effectiveness of disturbance thresholds and investigate the efficacy of other disturbance metrics.
Anthropogenic disturbances in sage-grouse habitats are managed at broad-scales and mid-scales (for example, the Density and Disturbance Calculation Tool (DDCT) assessment area in Wyoming). In the DDCT, surface disturbance densities are estimated within six kilometers of leks, and these metrics are used to inform management of sage-grouse populations.
USGS and Colorado State University scientists will use these data along with sage-grouse and mule deer population data across Wyoming to do the following: (1) perform population viability analysis (PVA) in a multiscale hierarchical approach using nested lek clusters to assess response of sage-grouse populations to multiple disturbance metrics within clusters (from 1993 through 2020); and (2) use PVA to assess population responses of mule deer to these metrics at herd unit levels. Through these activities, the scientists will evaluate the effectiveness of Wyoming disturbance thresholds and investigate the efficacy of other disturbance metrics (for example fragmentation and spatial arrangement) cumulatively and individually (for example, fire versus infrastructure), enabling them to extrapolate thresholds to similar habitat conditions defined by range-wide clusters.
Designing multi-scale hierarchical monitoring frameworks for wildlife to support management: A sage-grouse case study
Erratum - Greater sage-grouse population trends across Wyoming.
Greater sage-grouse population trends across Wyoming
- Overview
USGS and Colorado State University scientists will use data about sage-grouse and mule deer population data across Wyoming to evaluate the effectiveness of disturbance thresholds and investigate the efficacy of other disturbance metrics.
Anthropogenic disturbances in sage-grouse habitats are managed at broad-scales and mid-scales (for example, the Density and Disturbance Calculation Tool (DDCT) assessment area in Wyoming). In the DDCT, surface disturbance densities are estimated within six kilometers of leks, and these metrics are used to inform management of sage-grouse populations.
USGS and Colorado State University scientists will use these data along with sage-grouse and mule deer population data across Wyoming to do the following: (1) perform population viability analysis (PVA) in a multiscale hierarchical approach using nested lek clusters to assess response of sage-grouse populations to multiple disturbance metrics within clusters (from 1993 through 2020); and (2) use PVA to assess population responses of mule deer to these metrics at herd unit levels. Through these activities, the scientists will evaluate the effectiveness of Wyoming disturbance thresholds and investigate the efficacy of other disturbance metrics (for example fragmentation and spatial arrangement) cumulatively and individually (for example, fire versus infrastructure), enabling them to extrapolate thresholds to similar habitat conditions defined by range-wide clusters.
- Publications
Designing multi-scale hierarchical monitoring frameworks for wildlife to support management: A sage-grouse case study
Population monitoring is integral to the conservation and management of wildlife; yet, analyses of population demographic data rarely consider processes occurring across spatial scales, potentially limiting the effectiveness of adaptive management. Therefore, we developed a method to identify hierarchical levels of organization (i.e., populations) to define multiple spatial scales, specifically inAuthorsMichael S. O'Donnell, David R. Edmunds, Cameron L. Aldridge, Julie A. Heinrichs, Peter S. Coates, Brian G. Prochazka, Steven E. HanserErratum - Greater sage-grouse population trends across Wyoming.
No abstract available.AuthorsDavid R. Edmunds, Cameron L. Aldridge, Michael O'Donnell, Adrian P. MonroeGreater sage-grouse population trends across Wyoming
The scale at which analyses are performed can have an effect on model results and often one scale does not accurately describe the ecological phenomena of interest (e.g., population trends) for wide-ranging species: yet, most ecological studies are performed at a single, arbitrary scale. To best determine local and regional trends for greater sage-grouse (Centrocercus urophasianus) in Wyoming, USAAuthorsDavid R. Edmunds, Cameron L. Aldridge, Michael O'Donnell, Adrian P. Monroe