We expanded on previously developed methodology to incorporate information on habitat selection and survival during reproductive life stages and specific seasons with updated sage-grouse location and known fate datasets, while also including brood-rearing areas that are understood to be threatened and important for population persistence. We combined predictive habitat map surfaces for each life stage and season with updated information on current occupancy patterns to classify habitat based on its suitability and probability of occupancy. We carried out additional steps to delineate specific example habitat management areas, specifically (1) incorporated corridors connecting key nesting and brood-rearing habitat, (2) corrected outputs for pre-wildfire habitat conditions within areas burned in the last 16 years, and (3) masked out areas of anthropogenic development. Our methodological example of deriving habitat management areas was intended to help inform decisions by BLM and other land managers regarding conservation and management of sage-grouse. Associated data products in the form of habitat maps provide updated, detailed, and comprehensive information about the status of habitats and can be useful to partner agencies in their efforts to designate and rank habitats for this species of high conservation concern in Nevada and California, with full recognition that on-the-ground field data and local sources of information and expertise should be used in conjunction with inferences from these models.

This dataset contains a raster representing current (2017-2020) core sagebrush, growth opportunity areas, and other rangelands on tribal and federal lands that are estimated to be climate resilient into the future (2030-2060). We determined climate-resiliency by comparing current (2017-2020) core sagebrush, growth opportunity areas, and other rangelands to estimated future (2030-2060) conditions of core and growth opportunity areas under mid-century climate change (Representative Concentration Pathway 8.5) conditions (Doherty et al. 2022). The Department of the Interior (DOI) Sagebrush Keystone Initiative (KI) team worked with partners to identify areas within the sagebrush biome for strategic investments in conservation and restoration actions to ‘defend and grow the core’. We used this raster to identify areas of the sagebrush biome that have high ecological value, resilience to climate change, and existing collaborative partner capacities that will facilitate delivery of on-the-ground actions. We call these areas "Sagebrush Collaborative Restoration Landscapes" or SCRL (see "SCRL.shp" in SagebrushCollaborativeRestorationLandscapes.zip).

A raster identifying areas that met the criteria to be priority habitat for Greater sage-grouse before a fire disturbance occurred. This file is binary, a value of 1 indicates the pixel represents pre-fire priority habitat, a value of 0 indicates the pixel did not meet the criteria of selection, survival, and space-use to be considered pre-fire priority habitat.

A raster identifying areas that met the criteria to be priority habitat for Greater sage-grouse before a fire disturbance occurred. This file is binary, a value of 1 indicates the pixel represents pre-fire priority habitat, a value of 0 indicates the pixel did not meet the criteria of selection, survival, and space-use to be considered pre-fire priority habitat.

All data layers included in this data release were created using the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) tool, which relies on spatial inputs on species distributions and likelihood of restoration success to select parcels for sagebrush restoration. The PReSET is a workflow that relies on the prioritizr package in program R to identify parcels for effective and meaningful sagebrush restoration. Inputs into the tool included occupancy data layers for six focal species (Brewer’s sparrow (Spizella breweri), sagebrush sparrow (Artemisiospiza nevadensis), sage thrasher (Oreoscoptes montanus), greater sage-grouse (Centrocercus urophasianus), pronghorn (Antilocapra americana) and greater short-horned lizard (Phrynosoma hernandesi) generated within the Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins (Hanser et al. 2011). The layer to assess restoration suitability was predicted time to sagebrush recovery (Monroe et al. 2021; https://doi.org/10.5066/P9XV8GH7). Raster layers (360x360m cell size) associated with figure 4 in Duchardt et al. 2021 include a comparison of selected cells with no connectivity requirements (PReSETnoconn_nolock.tif), with a penalty for unconnected features (PReSEThighconn_nolock.tif), and with a penalty for unconnected features and including “locked-in” protected lands (PReSEThighconn_lock.tif). PReSET tool is currently housed at USGS FORT.

All data layers included in this data release were created using the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET) tool, which relies on spatial inputs on species distributions and likelihood of restoration success to select parcels for sagebrush restoration. The PReSET is a workflow that relies on the prioritizr package in program R to identify parcels for effective and meaningful sagebrush restoration. Inputs into the tool included occupancy data layers for six focal species (Brewer’s sparrow (Spizella breweri), sagebrush sparrow (Artemisiospiza nevadensis), sage thrasher (Oreoscoptes montanus), greater sage-grouse (Centrocercus urophasianus), pronghorn (Antilocapra americana) and greater short-horned lizard (Phrynosoma hernandesi) generated within the Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins (Hanser et al. 2011). The layer to assess restoration suitability was predicted time to sagebrush recovery (Monroe et al. 2021; https://doi.org/10.5066/P9XV8GH7). Raster layers (360x360m cell size) associated with figure 4 in Duchardt et al. 2021 include a comparison of selected cells with no connectivity requirements (PReSETnoconn_nolock.tif), with a penalty for unconnected features (PReSEThighconn_nolock.tif), and with a penalty for unconnected features and including “locked-in” protected lands (PReSEThighconn_lock.tif). PReSET tool is currently housed at USGS FORT.

ArcGIS raster maps for the wildfire risk and tree loss probability in the United Stated for the paper "Estimating climate-sensitive wildfire risk and tree mortality models for use in broad-scale U.S. forest carbon projections" as published in Forests. Citation information for this dataset can be found in Data.gov's References section.

This raster dataset depicts phase 1 pinyon-juniper expansion , where shrubs and herbs are the dominant vegetation and conifers occupy greater than zero percent to ten percent, intersecting documented sage-grouse habitat management categories (Coates et al., 2016a, Coates et al., 2016b). These data support the following publication: K. Benjamin Gustafson, Peter S. Coates, Cali L. Roth, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, Michael L. Casazza, Using object-based image analysis to conduct high- resolution conifer extraction at regional spatial scales, International Journal of Applied Earth Observation and Geoinformation, Volume 73, December 2018, Pages 148-155, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2018.06.002. Cali L. Roth, Peter S. Coates, K. Benjamin Gustafson, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, and Michael L. Casazza, 2018. A customized framework for regional classification of conifers using automated feature extraction. Journal of Agricultural and Biological Science, in review. References: Coates, P.S., Casazza, M.L., Brussee B.E., Ricca, M.A., Gustafson, K.B., Sanchez-Chopitea, E., Mauch, K., Niell, L., Gardner, S., Espinosa, S., Delehanty, D.J. 2016a, Spatially explicit modeling of annual and seasonal habitat for greater sage-grouse (Centrocercus urophasianus) in Nevada and Northeastern California—an updated decision-support tool for management: U.S. Geological Survey Open-File Report 2016-1080, 160 p., http://doi.org/10.3133/ofr20161080. ISSN: 2331-1258 (online) Coates, P.S., Casazza, M.L., Brussee B.E., Ricca, M.A., Gustafson, K.B., Sanchez-Chopitea, E., Mauch, K., Niell, L., Gardner, S., Espinosa, S., and Delehanty, D.J., 2016b, Spatially explicit modeling of annual and seasonal habitat for greater sage-grouse (Centrocercus urophasianus) in Nevada and Northeastern California—an updated decision-support tool for management: U.S. Geological Survey data release, http://doi.org/10.5066/F7CC0XRV.

This raster dataset depicts phase 1 pinyon-juniper expansion , where shrubs and herbs are the dominant vegetation and conifers occupy greater than zero percent to ten percent, intersecting documented sage-grouse habitat management categories (Coates et al., 2016a, Coates et al., 2016b). These data support the following publication: K. Benjamin Gustafson, Peter S. Coates, Cali L. Roth, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, Michael L. Casazza, Using object-based image analysis to conduct high- resolution conifer extraction at regional spatial scales, International Journal of Applied Earth Observation and Geoinformation, Volume 73, December 2018, Pages 148-155, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2018.06.002. Cali L. Roth, Peter S. Coates, K. Benjamin Gustafson, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, and Michael L. Casazza, 2018. A customized framework for regional classification of conifers using automated feature extraction. Journal of Agricultural and Biological Science, in review. References: Coates, P.S., Casazza, M.L., Brussee B.E., Ricca, M.A., Gustafson, K.B., Sanchez-Chopitea, E., Mauch, K., Niell, L., Gardner, S., Espinosa, S., Delehanty, D.J. 2016a, Spatially explicit modeling of annual and seasonal habitat for greater sage-grouse (Centrocercus urophasianus) in Nevada and Northeastern California—an updated decision-support tool for management: U.S. Geological Survey Open-File Report 2016-1080, 160 p., http://doi.org/10.3133/ofr20161080. ISSN: 2331-1258 (online) Coates, P.S., Casazza, M.L., Brussee B.E., Ricca, M.A., Gustafson, K.B., Sanchez-Chopitea, E., Mauch, K., Niell, L., Gardner, S., Espinosa, S., and Delehanty, D.J., 2016b, Spatially explicit modeling of annual and seasonal habitat for greater sage-grouse (Centrocercus urophasianus) in Nevada and Northeastern California—an updated decision-support tool for management: U.S. Geological Survey data release, http://doi.org/10.5066/F7CC0XRV.

This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Southeastern Great Basin ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.