20260722 14152200 1.0 FGDC CSDGM Metadata FALSE FGDC gra_past_poly -294185.051600 275549.967400 -348572.656900 279588.946200 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_Albers <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS[&quot;NAD_1983_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-106.0],PARAMETER[&quot;Standard_Parallel_1&quot;,33.0],PARAMETER[&quot;Standard_Parallel_2&quot;,36.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,34.5],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-17625100</XOrigin><YOrigin>-8334900</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.10000000000000001</XYTolerance><ZTolerance>0.10000000000000001</ZTolerance><MTolerance>0.10000000000000001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20211228 14191200 20211228 14220200 625000 5000 dataset external 255cf410b6c2ed88d9a80b4da7fa5f9ed5651609 GIS Manager Bureau of Land Management - New Mexico State Office GIS Team Lead 505-954-2000 301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov True Name: GIS Manager Organization: Bureau of Land Management - New Mexico State Office Position: GIS Team Lead Role: Unknown 20211228 ArcGIS Metadata 1.0 NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead (303)236-6806 (303)236-3508 Bldg 50, Denver Federal Center Denver CO 80225 US jcvarner@blm.gov Grazing Pasture Polygons Grazing https://blmspace.blm.doi.net/oc/intra/drs/SitePages/BLM%20National%20Grazing%20Allotment%20and%20Pasture%20(GRA).aspx Enterprise Geodatabase Feature Class BLM-STATE New Mexico BLM-THEME Authorization Geospatial Management Range NONE United States Western States NONE BLM Grazing Lands Pasture Bureau of Land Management U.S. Department of the Interior, Bureau of Land Management (BLM) BLM_NM_Grazing_Pastures vector digital data 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. 20211207 This polygon feature class represents the spatial extent and boundaries for BLM Grazing Pastures. A grazing pasture is simply a subset of a grazing allotment, where the grazing of livestock occurs. An allotment has one or many pastures, or an allotment can have no pastures on it at all. This feature class represents the polygon features that show the boundaries for the BLM Grazing Pastures. These pasture attributes may be duplicated in RAS, but are considered minimum information for unique identification and cartographic purposes. During the physical implementation of Grazing Allotments and Pastures, if an Allotment does not have any associated Pasture information, one Pasture will be created from/matching the Allotment boundary. A code of “99” will be entered into the PAST_NO (Pasture Number) field to indicate that the Pasture arcs and polygons are derived and need to be updated with real information by the appropriate office. BLM Admin State New Mexico State Data Steward Bureau of Land Management New Mexico State Data Steward (505)-954-2000 301 Dinosaur Santa Fe NM 87508 US blm_nm_comments@blm.gov Mon-Fri 8:00 am to 4:30 pm Authorization BLM boundaries farming Geospatial Grazing Lands Management New Mexico Pasture Range United States Western States 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. These are data made available to the public and are considered public domain. These data contain no sensitive information which would be prevented from disclosure by Freedom of Information Act (FOIA), the Privacy Act or other laws. These data are provided by BLM "as is" and may 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 original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may 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 for 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 information may be updated without notification. Esri ArcGIS 10.1.1.3143 -168.124968 -98.901825 31.327188 66.95186 Unknown 20211207 publication date Unknown 20211207 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. 1 -109.302582 -102.906485 37.019804 31.315966 Unknown 20211207 Last metadata review date: 20211228 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. good 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. good 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 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 positional accuracy across this dataset varies according to the source. Using the implementation guidelines, 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 National Operations Center Spatial Data Coordinator (303)236-5445 (303)236-3508 Bldg. 50, Denver Federal Center Denver CO 80225 US scrowe@blm.gov Unknown 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. H-1283-2 Data Administration and Management Handbook 2014-12-05 Release 1-1762 U.S. Department of Interior, Bureau of Land Management (BLM) http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf publication date 8621 gra_past_poly BLM Grazing Pasture Polygons Pasture and Allotment Boundaries Implementation Guidelines Feature Class 8621 ADM_UNIT_CD The BLM administrative unit/office that is a combination of Administrative State Code and Administrative Office Code that fully identifies the geographic area which has jurisdiction over the lands. Pasture and Allotment Boundaries Implementation Guidelines Administrative Unit code String 8 0 0 ADM_OFC_CD BLM administrative office (which is subordinate to the state office) that has jurisdiction and/or management authority over lands within a geographic area. Pasture and Allotment Boundaries Implementation Guidelines Administrative Office Code String 6 0 0 PAST_NO The number that identifies a specific pasture within one Allotment. Pasture and Allotment Boundaries Implementation Guidelines Pasture Number String 2 0 0 PAST_NAME A pasture name is given to an area that is a subset area of an allotment. Pasture and Allotment Boundaries Implementation Guidelines Pasture Name String 50 0 0 SHAPE Feature geometry. Esri Coordinates defining the features. SHAPE Geometry 4 0 0 GlobalID Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication only. It is not used as a unique identifier for relationships between feature classes/tables. Esri GlobalID GlobalID 38 0 0 ADMIN_ST An administrative unit that identifies the state or geographic area which has administrative jurisdiction over lands, and cases. Pasture and Allotment Boundaries Implementation Guidelines DOM_ADMIN_ST Pasture and Allotment Boundaries Implementation Guidelines Administrative State Code String 2 0 0 ST_ALLOT_PAST This is a concatenation of three existing attributes (ADMIN_ST + ALLOT_NO + PAST_NO) but is not a substitute for having any of those three attributes. Pasture and Allotment Boundaries Implementation Guidelines Managing State Allotment Pasture Number String 9 0 0 ALLOT_NAME The name by which the allotment is commonly known. Pasture and Allotment Boundaries Implementation Guidelines Allotment Name String 50 0 0 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 GIS_ACRES This is a calculated value of area in units of acres based on the area field created by default within the ESRI Polygon data structure. Pasture and Allotment Boundaries Implementation Guidelines GIS Acres Double 8 38 8 ALLOT_NO The number that identifies an Allotment which is unique within the BLM administrative state. Pasture and Allotment Boundaries Implementation Guidelines Allotment Number String 5 0 0 SHAPE.area SHAPE.area Double 0 0 0 area SHAPE.len SHAPE.len Double 0 0 0 length See the Pasture and Allotment Boundaries Implementation Guidelines. 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