Greater Sage-Grouse and Mule Deer Population Viability Analysis Across Scales
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
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.