Julie A. Heinrichs Michael S. O'Donnell Cameron L. Aldridge Steven L. Garman Collin G. Homer 2019 Vector Digital Data Set (Polygon) https://doi.org/10.5066/P9GRF34E Julie A. Heinrichs Michael S. O'Donnell Cameron L. Aldridge Steven L. Garman Collin G. Homer 2018 publication Heinrichs, J.A., O'Donnell, M.S., Aldridge, C.L., Garman, S., Homer, C., In-Review, Combined influences of future oil and gas development and climate on potential sage-grouse declines and redistribution. Ecological Applications. https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/eap.1912 This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for low oil and gas development, high population size, and no climate component. The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types (vertical and directional) and number of wells per pad and use simulation results to quantify physical and wildlife-habitat impacts. I applied the model to assess tradeoffs among 10 conventional and directional-drilling scenarios in a natural gas field in southwestern Wyoming (see Garman 2017). The effects climate change on sagebrush were developed using the National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM, version 4) climate model and representative concentration pathway 8.5 scenario (emissions continue to rise throughout the 21st century). The projected climate scenario was used to estimate the change in percent cover of sagebrush (see Homer et al. 2015). The percent changes in sage-grouse population sizes represented in these data are modeled using an individual-based population model that simulates dynamics of populations by tracking movements of individuals in dynamically changing landscapes, as well as the fates of individuals as influenced by spatially heterogeneous demography. We developed a case study to assess how spatially explicit individual based modeling could be used to evaluate future population outcomes of gradual landscape change from multiple stressors. For Greater sage-grouse in southwest Wyoming, we projected oil and gas development footprints and climate-induced vegetation changes fifty years into the future. Using a time-series of planned oil and gas development and predicted climate-induced changes in vegetation, we re-calculated habitat selection maps to dynamically modify future habitat quantity, quality, and configuration. We simulated long-term sage-grouse responses to habitat change by allowing individuals to adjust to shifts in habitat availability and quality. The use of spatially explicit individual-based modeling offered an important means of evaluating delayed indirect impacts of landscape change on wildlife population outcomes. This process and the outcomes on sage-grouse population changes are reflected in this data set. The simulated changes in sage-grouse populations presented here can be used to inform management by: 1) understanding the possible range of effects of oil and gas development and future climate influences on sage-grouse habitat, 2) mapping scenarios of how sagebrush vegetation and sage-grouse habitat could change under alternative scenarios, and 3) indicating the degree to which different areas of the landscape could change. These data do not represent absolute predictions, rather they should be interpreted as possible relative differences. 2006 2062 ground condition Complete None planned -111.5560 -105.8742 43.8158 40.5359 Southwestern Wyoming ISO 19115 Topic Category biota climatologyMeteorologyAtmosphere environment None Climate Cumulative effects Distribution Greater sage-grouse Individual based model Landscape change Multiple stressors Oil and gas development USGS Metadata Identifier USGS:5c5cc000e4b0fe48cb31255f None United States Wyoming Wyoming Landscape Conservation Initiative WY WLCI None. Please see 'Distribution Info' for details. None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations. Michael O'Donnell U.S. Geological Survey, SOUTHWEST REGION Physical Scientist mailing address

2150 Centre Avenue Bldg C

Fort Collins CO 80526 United States 970-226-9407 970-226-9230 odonnellm@usgs.gov Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.6 (Build 8321) Service Pack N/A (Build N/A) Steven L. Garman 2018 publication Garman, S. L. 2018. A simulation framework for assessing physical and wildlife impacts of oil and gas development scenarios in southwestern Wyoming. Environmental Modeling & Assessment. https://doi.org/10.1007/s10666-017-9559-1 Collin G. Homer George Xian Cameron L. Aldridge Debra K. Meyer thomas R. Loveland Michael S. O'Donnell 2015 publication Homer, C. G., G. Xian, C. L. Aldridge, D. K. Meyer, T. R. Loveland, and M. S. O’Donnell. 2015. Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050: learning from past climate patterns and Landsat imagery to predict the future. Ecological Indicators 55:131–145. https://doi.org/10.1016/j.ecolind.2015.03.002 The attribute values of greatest importance represent the amount of sage-grouse population change per polygon. Each polygon represents areas where different degrees of oil and gas development may occur and describe the protection status relative to Sage-grouse core areas, which were partially protected from development. We evaluated attribute values for omission, spelling errors, and for correct nomenclature relative to the data source. The attribute values for these data correspond to the intended representation of oil and gas project areas and greater sage-grouse core areas. We evaluated these data for the following topology rules: "Must not have gaps"; "Must not overlap". These data represent the amount of greater sage-grouse population change resulting from simulated landscape changes (oil and gas development and/or climate change). These data do not represent truth, but rather a simulated scenario of what the landscape might look like in the future under certain assumptions. These results cannot be extrapolated to other geographic regions. The boundaries delineating these polygons are based on 250 m hexagons, which were used in the HexSim software. Therefore, these boundaries will not perfectly align with any source data. Nyssa Whitford 20150729 tabular digital data https://wgfd.wyo.gov/habitat/sage-grouse-management Digital and/or Hardcopy 20150729 publication date Wyoming GRSG core areas These data were used to define areas on the landscape where management of greater sage-grouse are different from other areas. Please refer to the larger citation on how the percent change of sage-grouse populations were modeled. The general steps include developing changes in sagebrush based on a projected climate scenario, removing sagebrush cover based on oil and gas development, and incorporating these changes into a sage-grouse seasonal habitat resource selection function model. The resource selection function models where then incorporated into the individual based model (HexSim) to estimate changes in sage-grouse populations. To calculate the percent change of populations we used the following formula: (End Yr population size – Start year population size (i.e., year 1))/start year population size)*100 20170702 Vector G-polygon 124 Albers Conical Equal Area (ESRI Full Name: Albers_Conical_Equal_Area) 29.5 45.5 -96.0 23.0 0.0 0.0 coordinate pair 0.6096 0.6096 meters D_WGS_1984 WGS_1984 6378137.0 298.257223563 GRSGoccupancy_LowOG_HighPop.shp Attribute Table Table containing attribute information associated with the data set. Producer Defined FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Score Unique identifier used for simulation software Producer Defined 1.0 73.0 perchange Amount of greater sage-grouse population change. Negative values represent decreases of sage-grouse populations while positive values represent increases in population. Producer Defined -100 165 PrjArea_na Oil and gas project area name Producer Defined Matrix Areas where sage-grouse habitat exist, but there are no designations of oil and gas project areas or sage-grouse core areas. Producer defined Names associated with each oil and gas project area used in the build out scenario, which reflect how much oil and gas is expected to occur in a region. Core_Name Wyoming Greater sage-grouse core areas Producer Defined Greater sage-grouse core area name. Shape_Area ESRI area of polygon Producer Defined 54126.575 28130399545.8 U.S. Geological Survey GS ScienceBase mailing address

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Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Vector Digital Data Set (Polygon) https://doi.org/10.5066/P9GRF34E None 20200820 Michael O'Donnell U.S. Geological Survey, SOUTHWEST REGION Physical Scientist mailing address

2150 Centre Avenue Bldg C

Fort Collins CO 80526 United States 970-226-9407 970-226-9230 odonnellm@usgs.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999