20250410 07534200 1.0 FALSE PALGeoRESOLV09172025 170899.808900 685524.544600 3468038.299000 4099243.547000 1 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) USA_Contiguous_Albers_Equal_Area_Conic_USGS_version <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/3.5.0'><WKT>PROJCS["USA_Contiguous_Albers_Equal_Area_Conic_USGS_version",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",23.0],UNIT["Meter",1.0],AUTHORITY["Esri",102039]]</WKT><XOrigin>-16901100</XOrigin><YOrigin>-6972200</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102039</WKID><LatestWKID>102039</LatestWKID></ProjectedCoordinateSystem> 20250918 14222900 20250918 14222900 150000000 5000 dataset NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead 303-236-8857 Bldg. 85, Denver Federal Center Denver CO 80225 US blm_press@blm.gov 20250918 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 Pre-Designated and Designated Areas of Critical Environmental Concern (ACEC) Polygon Arcs, Polygons, and Related Tables https://gbp-blm-egis.hub.arcgis.com/pages/arizona File Geodatabase Feature Class BLM-STATE Alaska Arizona California Colorado Eastern States Idaho Montana Nevada New Mexico Oregon Utah Wyoming BLM-THEME Anthropology Endangered Geospatial Management Vegetation Wildlife Withdrawal NONE 002 003 007 Bureau of Land Management Cultural Fish Historic Natural Hazards Scenic Value NONE United States Western States Bureau of Land Management U.S. Department of the Interior, Bureau of Land Management (BLM) BLM AZ National Areas of Critical Environmental Concern (ACEC) Designated Polygon U.S. Department of Interior, Bureau of Land Management (BLM) 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. 20240822 The geospatial data reflected in this Protected Area Layer contain minor data versioning and consolidation updates from the<a target='_blank' href='https://caenergy.maps.arcgis.com/home/item.html?id=0e216708f0c44b2984bf9eded1be0c3f' rel='nofollow ugc noopener noreferrer'> previous Protected Area Layer</a>. This layer extends outside of the geographic boundaries of California to include electrically-in-state southern Nevada and western Arizona areas of the CAISO. The components of the Protected Area Layer mostly pertain to natural and wilderness areas where development of utility-scale renewable energy is prohibited and were heavily based on RETI 1.0 blackout areas. The protected area layer is distinguished for conventional geothermal technology by the latest <a target='_blank' href='https://www.blm.gov/programs/fish-and-wildlife/sagegrouse/blm-sagegrouse-plans' rel='nofollow ugc noopener noreferrer'>Greater Sage-Grouse Habitat Management Areas</a>  (note: the Greater Sage-Grouse Habitat Management Areas provide separate exclusion areas for solar, wind and geothermal resources).More information is found in the <a target='_blank' href='https://www.cpuc.ca.gov/-/media/cpuc-website/divisions/energy-division/documents/integrated-resource-plan-and-long-term-procurement-plan-irp-ltpp/2024-2026-irp-cycle-events-and-materials/assumptions-for-the-2026-2027-tpp/final_2025_busbar_mappingmag_presentation_cec.pdf' rel='nofollow ugc noopener noreferrer'>CEC presentation</a> from the August 19 webinar, as well as the 2023 <a target='_blank' href='https://www.energy.ca.gov/data-reports/california-energy-planning-library/land-use-screens' rel='nofollow ugc noopener noreferrer'>Land Use Screens Staff Report in the CEC Energy Planning Library</a>.    This is a draft update to the Protected Area Layer (PAL) for geothermal resources for the current 2026-2027 IRP cycle. The protected area layer is a composite GIS layer designed to encompass areas where utility-scale renewable energy or transmission development is precluded by state or federal law, policy, or regulation. It draws from several protected areas datasets, including local, state, or federal land that is designated for conservation. The PAL extends outside of California into southern Nevada and western Arizona. Bureau of Land Management, Arizona National Data Steward Bureau of Land Management National Data Steward 202-208-3801 1849 C Street NW Washington DC 20240 US blm_press@blm.gov IRPTPPCAOpenDataCalifornia Natural Resources Agencyland use screensBusbar Mapping 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. None, these data are considered public domain. <a target='_blank' href='https://www.energy.ca.gov/conditions-of-use' rel='nofollow ugc noopener noreferrer'>https://www.energy.ca.gov/conditions-of-use</a> Esri ArcGIS 10.1.1.3143 -124.368205 -77.182370 31.332563 48.987865 20240822 20240822 publication date 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. -124.860828 -66.885070 49.384356 24.396305 Last metadata review date: 20150604 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. None, these data are considered public domain. 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 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 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 guidance provided on the ACEC Project SharePoint Site, 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 20240828 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 20240828 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 0 Esri 8.1.2 acec_desig_poly Represents the polygon features that show the boundaries for the Designated ACECs. Feature Class 0 National Areas of Critical Environmental Concern (ACEC) Implementation Guidelines OBJECTID OBJECTID OID 4 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. See the Areas of Critical Environmental Concern (ACEC) Implementation Guidelines. 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