This data set represents modeled Greater Sage-Grouse (GRSG) Breeding Habitat or Breeding Distribution. Models, built with collaboration from WAFWA, are meant to be used as metrics for subsequent risk analyses and general GIS queries. Modeled data developed by US FWS Kevin Doherty et al. 2015. Model outputs clipped to Current Occupied Range (US FWS 2015). These data were thresholded at 0.65. Values of 1 represent probabilities >= 0.65, while values of 0 represent probabilities < 0.65. GRSG Breeding Habitat models built within Management Zones because wide variation exists in occupied habitats across the range, and risks to sage-grouse vary across Management Zones. Lek data assembled by WAFWA was used to develop...
This data set represents modeled Greater Sage-Grouse (GRSG) Breeding Habitat or Breeding Distribution. Modeled data developed by US FWS Kevin Doherty et al. 2015. Model outputs clipped to Current Occupied Range (US FWS 2015). GRSG Breeding Habitat models built within Management Zones because wide variation exists in occupied habitats across the range, and risks to sage-grouse vary across Management Zones. Lek data assembled by WAFWA was used to develop the breeding habitat model. Detailed model outputs were reviewed by biologist from each state, including statistical tables of model fit and how predictions aligned with landscapes local biologist work in. A probabilistic model of occupied breeding habitat was developed...
This data set represents modeled Greater Sage-Grouse (GRSG) Relative Abundance or Population Index categorized into 10% relative percent bins. Modeled data developed by US FWS Kevin Doherty et al. 2015. Model outputs clipped to Current Occupied Range (US FWS 2015). GRSG Relative Abundancemodels built within Management Zones because wide variation exists in occupied habitats across the range, and risks to sage-grouse vary across Management Zones. Lek data assembled by WAFWA was used to develop the Relative Abundancemodel. Detailed model outputs were reviewed by biologist from each state, including statistical tables of model fit and how predictions aligned with landscapes local biologist work in.A model was developed...
This community is managed by the U.S. Fish and Wildlife Service. It provides public data associated with the sagebrush ecosystem and directly contributes toward an interagency catalog for the U.S. Department of the Interior Rangeland Fire Secretarial Order.
Note that MZ III probability models (occupied breeding habitat) and relative percent population models include bi-state populations. Please see files for MZ III that exclude the bi-state populations.
This data set represents modeled Greater Sage-Grouse (GRSG) Relative Abundance or Population Index. Modeled data developed by US FWS Kevin Doherty et al. 2015. Model outputs clipped to Current Occupied Range (US FWS 2015). GRSG Relative Abundancemodels built within Management Zones because wide variation exists in occupied habitats across the range, and risks to sage-grouse vary across Management Zones. Lek data assembled by WAFWA was used to develop the Relative Abundancemodel. Detailed model outputs were reviewed by biologist from each state, including statistical tables of model fit and how predictions aligned with landscapes local biologist work in.A model was developed to quantify the relative density of breeding...
This data set represents modeled Greater Sage-Grouse (GRSG) Relative Abundance or Population Index categorized into 25% relative percent bins. Modeled data developed by US FWS Kevin Doherty et al. 2015. Model outputs clipped to Current Occupied Range (US FWS 2015). GRSG Relative Abundancemodels built within Management Zones because wide variation exists in occupied habitats across the range, and risks to sage-grouse vary across Management Zones. Lek data assembled by WAFWA was used to develop the Relative Abundancemodel. Detailed model outputs were reviewed by biologist from each state, including statistical tables of model fit and how predictions aligned with landscapes local biologist work in.A model was developed...
