<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260219</CreaDate>
<CreaTime>16441200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BLM_ID_Sage_Grouse_Habitat_2021</resTitle>
</idCitation>
<searchKeys>
<keyword>2021</keyword>
<keyword>biota</keyword>
<keyword>BLM</keyword>
<keyword>Boise District Office</keyword>
<keyword>Bruneau Field Office</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Burley Field Office</keyword>
<keyword>Centrocercus urophasianus</keyword>
<keyword>Challis Field Office</keyword>
<keyword>Department of Energy</keyword>
<keyword>Department of the Interior</keyword>
<keyword>DOE</keyword>
<keyword>DOI</keyword>
<keyword>environment</keyword>
<keyword>Forest Service</keyword>
<keyword>Four Rivers Field Office</keyword>
<keyword>fragmentation</keyword>
<keyword>Greater Sage Grouse</keyword>
<keyword>Greater Sage-grouse</keyword>
<keyword>habitat</keyword>
<keyword>ID</keyword>
<keyword>Idaho</keyword>
<keyword>Idaho Falls District</keyword>
<keyword>Jarbidge Field Office</keyword>
<keyword>Nevada</keyword>
<keyword>NV</keyword>
<keyword>Owyhee Field Office</keyword>
<keyword>Pocatello Field Office</keyword>
<keyword>restoration</keyword>
<keyword>Sage Grouse</keyword>
<keyword>Salmon Field Office</keyword>
<keyword>Shoshone Field Office</keyword>
<keyword>Twin Falls District Office</keyword>
<keyword>U.S. Department of Agriculture</keyword>
<keyword>United States</keyword>
<keyword>Upper Snake Field Office</keyword>
<keyword>US</keyword>
<keyword>Vegetation</keyword>
<keyword>Wildlife</keyword>
</searchKeys>
<idPurp>Concerns about trends in sage-grouse habitat persist, due to the ongoing loss of sagebrush from wildfires, expansion of invasive annual grasses, and conifer encroachment. Sagebrush steppe vegetation mapping efforts have occurred in many areas but techniques, scales, timeframes, and resolution vary. Idaho Bureau of Land Management (BLM) and conservation partners have an ongoing need for a spatial portrayal of existing and potentially restorable sage-grouse habitat for a variety of planning purposes. At a broad scale, the Idaho BLM Greater Sage-Grouse Planning Maps and data are intended to: 1. Identify key sage-grouse habitat areas for Idaho BLM that need to be conserved. 2. Identify areas of restoration potential that should be considered during restoration planning. 3. Be a tool for land use and fire planning at the Field Office, District, and State Office levels. 4. Graphically portray the degree of sage-grouse habitat fragmentation or recovery as it changes over time. 5. Assist field staff in identifying areas where sage-grouse habitat conservation or restoration will be a primary concern and those areas where sage-grouse will not be a management emphasis. 6. Serve as an educational tool for conservation planning and public outreach.</idPurp>
<idAbs>The 2021 Sage-grouse Habitat Planning Map update incorporates wildfire data and other edits relevant to the 2021 field and fire season as per typical processes used during the past decade. Additional areas of non-habitat, such as paved highways, municipal boundaries, water bodies etc., were also removed. However, the map extent for sage-grouse key habitat and potential restoration areas should be considered provisional, contingent on the final outcome of additional analyses currently underway in association with the national Greater Sage-grouse Conservation Strategy. This data set contains simple, landscape-scale greater sage-grouse habitat types for Idaho and constitutes a current approximation of sage-grouse habitat in the state. The data can be used for general conservation and restoration planning purposes, but additional data or field verification are needed for applications at finer scales. The habitat types include: (1) key sage-grouse habitat areas and (2) four habitat restoration types: (a) R1 - perennial native and non-native grasslands with high restoration potential; (b) R2 - annual grass dominated areas (either shrubland or grassland) with low restoration potential; (c) R3 - conifer encroachment areas with high restoration potential and (d) RB - areas that have recently burned and the type of habitat that is coming back and its restoration potential has not yet been determined. Beginning in 2015, the NA class was included to track areas that were previously identified as habitat but were removed due to vegetation type or terrain (eg. stands of existing timber on North-facing slopes). A new data set will be developed annually to update the planning map and chart landscape-level changes in sage-grouse habitat over time. Edits may also document refinements discovered through inventory, monitoring and modeling. This data covers all of Idaho and a small area in Nevada that is managed by Idaho BLM. Intended scale of use is 1:100,000. This dataset is not synonymous with BLM's Sage-grouse Habitat Management Areas (Priority, Important and General) as those incorporate additional habitat and sage-grouse population data or models.</idAbs>
<idCredit>Bureau of Land Management (BLM), Idaho State Office</idCredit>
<resConst>
<Consts>
<useLimit>These data are provided by Bureau of Land Management (BLM) 'as is' and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
