1650055813648r7907151666174075 utf8 dataset dataset NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead

Bldg. 85, Denver Federal Center Denver CO 80225 US kkirkpatrick@blm.gov

pointOfContact 2026-06-06 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 complex 178 complex 6 composite 1947 complex 298 composite 1676 4269 EPSG 6.5(3.0.1) 2026-06-06 publication Bureau of Land Management publisher U.S. Department of the Interior, Bureau of Land Management (BLM) originator mapDigital This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming. Feature Class for BLM Wild Horse and Burro Herd Areas. Herd Areas were designated in 1971 as places where wild horses and/or burros were found during the initial flights in 1971. Federal lands identified in 1971 but not managed for wild horses and burros are called Herd Areas. As additional surveys were done and data gathered, it was determined that some of these lands were privately owned or otherwise not suitable for long-term management of wild horses and/or burros. Areas with private animals that were claimed during the claiming period were not carried forward as Herd Areas. Herd Areas were carried forward in land use plans and determinations were made as to whether or not to manage animals on these federal lands. Federal lands identified in 1971 but managed for wild horses and burros are called Herd Management Areas. In Herd Management Areas, specific laws and regulations pertaining to the management of wild horses and burros are applied. The Bureau uses the term Herd Management Area; the Forest Service uses the term Wild Horse Territory. All Herd Management Areas need to be contained within an originally designated Herd Area. Management status can change based on changing conditions. The BLM Historical Wild Horse and Burro Herd Management Area polygon feature class remains empty until a change occurs to any of the BLM Wild Horse and Burro Herd Management Area polygons. When changes occur to a BLM Wild Horse and Burro Herd Management Area polygon, the original herd management area is moved to this historical polygon feature class. The resulting polygons are no longer active and are stored in this feature class for historical reference. The BLM Historical Wild Horse and Burro Herd Management Area features are a result of the BLM Wild Horse and Burro Herd Management Area polygons being permanently changed as a result of a business need. This dataset defines the boundaries for Wild Horse and Burro (WHB) Herd Management Areas (Congressionally designated area of land to which specific laws and regulations pertaining to the management of wild horses and burros are applied). BLM Admin State completed National Data Steward Bureau of Land Management, WO 260 National Data Steward

1340 Financial Blvd. Reno NV 89502 US wildhorse@blm.gov

pointOfContact monthly Alaska Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Wyoming place Authorization Geospatial Management Range Wildlife theme BLM Bureau of Land Management Burro Herd Historical Horse Wild theme 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. The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. otherRestrictions None, these data are considered public domain otherRestrictions Other Constraints otherRestrictions Other Constraints vector utf8 boundaries economy planningCadastre Esri ArcGIS 10.1.1.3143 -122.400232 -105.783496 32.619983 44.909483 true -122.400232 -105.783496 32.619983 44.909483 publication date -168.124968 -98.901825 31.327188 66.95186 A published revision of the Department Manual’s Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm). Each state office has a Data Steward or Contact Person for this data. Please contact the specific state office for additional information on their state dataset. NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead

Bldg. 85, Denver Federal Center Denver CO 80225 US kkirkpatrick@blm.gov

distributor ESRI file geodatabase (gdb) 10.4 https://gis.blm.gov/arcgis/rest/services/range/BLM_Natl_WHB/MapServer dataset This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The accuracy of attributes in this dataset reflects that of the source datasets. Attribute accuracy was tested by validating attribute coded values against accepted domain values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The completeness of this dataset reflects that of the source datasets. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of a particular state's data. The positional accuracy across this dataset varies according to the source. Using the Schema Workbook, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets. This process of data replication to the National Operations Center is intended to occur on a monthly basis. Spatial Data Coordinator BLM Headquarters Spatial Data Coordinator (303)236-3508

Bldg. 85, Denver Federal Center Denver CO 80225 US scrowe@blm.gov

processor Changes that are made to the Wild Horse and Burro data internally are reviewed for correctness before being applied externally. Correctness would include location and point attributes. 2026-06-06T00:00:00 Spatial Data Coordinator BLM Headquarters Spatial Data Coordinator (303)236-3508

Bldg. 85, Denver Federal Center Denver CO 80225 US scrowe@blm.gov

processor This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data. 2014-12-05 publication publication date 2014-12-05 This document describes the physical design for the national data standard for the geospatial dataset. It is intended as a guideline for implementation. States may extend and expand upon this guideline in order to meet their specific needs, provided that when the data is pushed up to the national level, it will meet the minimum requirements as set forth in the Data Standard. 2010-08-04 publication publication date 2010-08-04 monthly Last metadata review date: 20170524