This data viewer provides access to a variety of geospatial data layers that can be used to help implement the Department of Interior's Integrated Rangeland Fire Management Strategy (IRFMS) which "sets forth enhanced policies and strategies for preventing suppressing rangeland fire and for restoring sagebrush landscapes impact by fire across the West".Multiple government agencies, including the Bureau of Land Management (BLM), US Geological Survey (USGS) and US Fish and Wildlife Service (USFWS), and partners are collectively contributing data layers to this viewer. These data are related to sagebrush ecosystems, fire and invasive species, and the Greater Sage-Grouse (GRSG). Point of Contact: Bureau of Land Management, National Operations Center, Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)

Feature level Dataset for the BLM Administrative Unit Boundaries Data Standard. This feature dataset includes both BLM administrative land areas and office locations. Land areas are depicted with polygons for the smallest administrative unit (field offices). Larger administrative units, such as district offices, and administrative states may be derived from these polygons. Office locations at each level are depicted with points. This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

This dataset is part of the Cadastral National Spatial Data Infrastructure (CadNSDI) publication dataset for rectangular and non‐rectangular Public Land Survey System (PLSS) data.

This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-‐ Attribute section of this metadata describes these components in greater detail.

The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis.

Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.

This dataset contains land use authorization- rights-of-way cases derived from Legal Land Descriptions (LLD) contained in the US Bureau of Land Management's, BLM, Mineral and Land Record System(MLRS) and geocoded (mapped) using the Public Land Survey System (PLSS) derived from the most accurate survey data available through BLM Cadastral Survey workforce. The minimum data entry requirement for legal descriptions for linear authorizations is to the nearest 40 acre aliquot level (e.g.,NENW). Legal descriptions for non-linear authorizations are as described on the authorizing document. Geospatial representations might be missing for some cases that can not be geocoded using the MLRS algorithm. This data set contains cases with the dispositions of 'Authorized', 'Pending','Closed', and 'Interim'. Each case is given a data quality score based on how well it mapped. These can be lumped into seven groups to provide a simplified way to understand the scores. Group 1: Direct PLSS Match. Scores “0”, “1”, “2”, “3” should all have a match to the PLSS data. There are slight differences, but the primary expectation is that these match the PLSS. Group 2: Calculated PLSS Match. Scores “4”, “4.1”, “5”, “6”, “7” and “8” were generated through a process of creating the geometry that is not a direct capture from the PLSS. They represent a best guess based on the underlining PLSS Group 3 – Mapped to Section. Score of “8.1”, “8.2”, “8.3”, “9” and “10” are mapped to the Section for various reasons (refer to log information in data quality field). Group 4- Combination of mapped and unmapped areas. Score of 15 represents a case that has some portions that would map and others that do not. Group 5 – No NLSDB Geometry, Only Attributes. Scores “11”, “12”, “20”, “21” and “22” do not have a match to the PLSS and no geometry is in the NLSDB, and only attributes exist in the data. Group 6 – Mapped to County. Scores of “25” map to the County. Group 7 – Improved Geometry. Scores of “100” are cases that have had their geometry edited by BLM staff using ArcGIS Pro or MLRS bulk upload tool.

This polygon feature class shows the spatial extent and boundaries of Areas of Critical Environmental Concern that have become officially designated by the BLM. These polygon features were previously in a pre-designated status (i.e. being considered as areas to be eventually designated as official ACEC designated polygons). Once these polygon feature left the Pre-Designated phase (transitioned from a Considered to Designated status), they were removed from the ACEC Pre-designated polygon feature class and placed in this ACEC Designated polygon feature class. This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Implementation Guide represents the official national dataset from which this dataset was derived.

This feature class is the BLM Natl GTLF Public Managed Trails subset of the feature dataset containing the BLM Ground Transportation Linear Features. A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances. The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS). A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas. GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources). This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

PSDV_RWO_ROD_LUA_Reserves_NLCS_rst: This data-set is the Public Spatial Data Viewer (PSDV) land use allocations on BLM managed lands for the Reserves and National Landscape Conservation System (NLCS) in the Western Oregon Record of Decision (ROD).

This polygon feature class represents the spatial extent and boundaries of BLM National Landscape Conservation System (NLCS) Wilderness Areas.

The datasets that are included in the composite layer making up the protected area layer are given below: DatasetExample DesignationsCitation or hyperlinkPAD-US (CBI Edition)National Parks, GAP Status 1 and 2, State Parks, Open Spaces, Natural Areas“PAD-US (CBI Edition) Version 2.1b, California”. Conservation Biology Institute. 2016. https://databasin.org/datasets/64538491f43e42ba83e26b849f2cad28.Conservation EasementsCalifornia Conservation Easement Database (CCED), 2022a. 2022. www.CALands.org. Accessed December 2022. Inventoried Roadless Areas“Inventoried Roadless Areas.” US Forest Service. Dec 12, 2022. https://www.fs.usda.gov/detail/roadless/2001roadlessrule/maps/?cid=stelprdb5382437BLM National Landscape Conservation SystemWilderness Areas, Wilderness Study Areas, National Monuments, National Conservation Lands, Conservation Lands of the California Desert, Scenic Rivershttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-areashttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-study-areashttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-national-monuments-nca-forest-reserves-other-poly/Greater Sage Grouse Habitat Conservation Areas (BLM)For solar technology: BLM_Managm IN (‘PHMA’, ‘GHMA’, ‘OHMA’)For wind technology: BLMP_Managm = ‘PHMA’“Nevada and Northeastern California Greater Sage-Grouse Approved Resource Management Plan Amendment.” US Department of the Interior Bureau of Land Management Nevada State Office. 2015. https://eplanning.blm.gov/public_projects/lup/103343/143707/176908/NVCA_Approved_RMP_Amendment.pdf Other BLM Protected AreasAreas of Critical Environmental Concern (ACECs), Recreation Areas (SRMA, ERMA, OHV Designated Areas), including Vinagre Wash Special Recreation Management Area, National Scenic Areas, including Alabama Hills National Scenic Areahttps://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-off-highway-vehicle-designations

One-eighth of the United States (247 million acres) is managed by the Bureau of Land Management. As part of the Department of the Interior, the agency oversees the 30 million acre National Conservation Lands system, a collection of lands that includes 221 wilderness areas, 23 national monuments and 636 other protected areas. Bureau of Land Management Lands contain over 63,000 oil and gas wells and provide forage for over 18,000 grazing permit holders on 155 million acres of land.Dataset SummaryPhenomenon Mapped: United States lands managed by the US Department of the Interior Bureau of Land Management. Coordinate System: Web Mercator Auxiliary SphereExtent: Contiguous United States and AlaskaVisible Scale: The data is visible at all scales but draws best at scales larger than 1:2,000,000.Source: BLM Surface Management Agency layerPublication Date: November 2023This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Bureau of Land Management lands. For more information on layers for other agencies see the USA Federal Lands layer.What can you do with this layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "bureau of land management" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box expand Portal if necessary then select Living Atlas. Type "bureau of land management" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

description: PSDV_RWO_ROD_Suitable_WSR_arc: This data is the Public Spatial Data Viewer (PSDV) Suitable Wild and Scenic River segments under BLM management within the area of the Resource Management Plan Record of Decision (ROD). The National Wild and Scenic Rivers System was created by Congress in 1968 to preserve certain rivers with outstanding natural, cultural, and recreational values in a free-flowing condition. For more information about the WSR Act, river classification, management, and links to related sites go to http://www.rivers.gov/rivers/.; abstract: PSDV_RWO_ROD_Suitable_WSR_arc: This data is the Public Spatial Data Viewer (PSDV) Suitable Wild and Scenic River segments under BLM management within the area of the Resource Management Plan Record of Decision (ROD). The National Wild and Scenic Rivers System was created by Congress in 1968 to preserve certain rivers with outstanding natural, cultural, and recreational values in a free-flowing condition. For more information about the WSR Act, river classification, management, and links to related sites go to http://www.rivers.gov/rivers/.

The datasets that are included in the composite layer making up the protected area layer are given below:

Dataset

Example Designations

Citation or hyperlink

PAD-US (CBI Edition)

National Parks, GAP Status 1 and 2, State Parks, Open Spaces, Natural Areas

“PAD-US (CBI Edition) Version 2.1b, California”. Conservation Biology Institute. 2016. https://databasin.org/datasets/64538491f43e42ba83e26b849f2cad28.

Conservation Easements

California Conservation Easement Database (CCED), 2022a. 2022. www.CALands.org. Accessed December 2022.

Inventoried Roadless Areas

“Inventoried Roadless Areas.” US Forest Service. Dec 12, 2022. https://www.fs.usda.gov/detail/roadless/2001roadlessrule/maps/?cid=stelprdb5382437

BLM National Landscape Conservation System

Wilderness Areas, Wilderness Study Areas, National Monuments, National Conservation Lands, Conservation Lands of the California Desert, Scenic Rivers

https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-areas

https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-wilderness-study-areas

https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-national-monuments-nca-forest-reserves-other-poly/

Greater Sage Grouse Habitat Conservation Areas (BLM)

For solar technology: BLM_Managm IN (‘PHMA’, ‘GHMA’, ‘OHMA’) For wind technology: BLMP_Managm = ‘PHMA’

“Nevada and Northeastern California Greater Sage-Grouse Approved Resource Management Plan Amendment.” US Department of the Interior Bureau of Land Management Nevada State Office. 2015. https://eplanning.blm.gov/public_projects/lup/103343/143707/176908/NVCA_Approved_RMP_Amendment.pdf

Other BLM Protected Areas

Areas of Critical Environmental Concern (ACECs), Recreation Areas (SRMA, ERMA, OHV Designated Areas), including Vinagre Wash Special Recreation Management Area, National Scenic Areas, including Alabama Hills National Scenic Area

https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-off-highway-vehicle-designations https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-ca-areas-of-critical-environmental-concern https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-az-area-of-critical-environmental-concern-polygon [Big Marias ACEC and Beale Slough Riparian and Cultural ACEC]

BLM, personal communication, November 2, 2022.

Mono Basin NFSA

https://pcta.maps.arcgis.com/home/item.html?id=cf1495f8e09940989995c06f9e290f6b#overview

Terrestrial 30x30 Conserved Areas

Gap Status 1 and 2

CA Nature. 30x30 Conserved Areas, Terrestrial. 2021. https://www.californianature.ca.gov/datasets/CAnature::30x30-conserved-areas-terrestrial/ Accessed September 2022.

CPAD

Open Spaces and Parks under city or county level

California Protected Areas Database (CPAD), 2022b. 2022. https://www.calands.org/cpad/. Accessed February 22, 2023.

USFS Special Interest Management Areas

https://data-usfs.hub.arcgis.com/datasets/usfs::special-interest-management-areas-feature-layer/about

Proposed Protected Area

Molok Luyuk Extension (Berryessa Mtn NM Expansion)

CalWild, personal communication, January 19, 2023.

This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library. Change Log: Version 1.1 (January 22, 2024 10:40 AM) Layer revised to allow for gaps to remain when combining all components of the protected area layer.

The dataset is comprised of the polygon features representing the spatial extent and boundaries of the Bureau of Land Management (BLM) National Landscape Conservation System (NLCS) National Scenic and Historic Trail Corridors and the polylines for the BLM NLCS National Scenic and Historic Trails.In June 2000, the BLM responded to growing concern over the loss of open space by creating the NLCS. The NLCS brings into a single system some of the BLM's premier designations. The National Scenic and Historic Trails are one of these eleven premier designations. By putting these lands into an organized system, the BLM hopes to increase public awareness of these areas' scientific, cultural, educational, ecological and other values. This NLCS data standard assists in the management of all eleven designations within the NLCS. Particularly, NLCS data pertains to the following BLM groups and their purposes: Land Use Planners, GIS Specialists, NLCS team leads, BLM managers, and public stakeholder groups.National Historic Trails are extended trails that closely follow a historic trail or route of travel of national significance. Designation identifies and protects historic routes, historic remnants, and artifacts for public use and enjoyment. The BLM is responsible for over 5,343 miles of 11 National Historic Trails. National Scenic Trails provide maximum outdoor recreation potential and for the conservation and enjoyment of the various qualities – scenic, historical, natural, and cultural – of the areas they pass through. The BLM is responsible for over 668 miles of the Continental Divide, Pacific Crest, Potomac Heritage, Arizona, and Pacific Northwest National Scenic Trails.

The layers within this feature service show the spatial extent and boundaries of BLM National Conservation Lands (NCL) Wilderness Areas in Utah. Per legislative authority, this data is under review for “clerical and typographical” errors. Boundary lines may not accurately align with features that currently exist on the ground, such as designated roads. Some features may be adjusted pursuant to: S. 47: John D. Dingell, Jr. Conservation, Management, and Recreation Act, Public Law 116-9, March 12, 2019. Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.Complete metadata for these data sets can be found at:BLM UT Designated Wilderness (Arc)BLM UT Designated Wilderness (Polygon)

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

This polyline feature class represents the segments designated as BLM National Landscape Conservation System (NLCS) Wild and Scenic Rivers. The attributes for this feature class serve to store the feature level metadata information for the polylines, as well as document the origin and characteristics of each polyline. Lines will be segmented when any of the attributes change (e.g. when the classification changes) or to capture changes in Outstandingly Remarkable Value (ORV). Every segment must have at least one record in the related table, nlcs_wsr_orv_tbl.

Interagency Wildland Fire PerimetersOverviewThis national fire history perimeter data layer of conglomerated agency perimeters was developed in support of the WFDSS application and wildfire decision support. The layer encompasses the fire perimeter datasets of the USDA Forest Service, US Department of Interior Bureau of Land Management, Bureau of Indian Affairs, Fish and Wildlife Service, and National Park Service, the Alaska Interagency Fire Center, CalFire, and WFIGS History. Perimeters are included thru the 2023 fire season. Requirements for fire perimeter inclusion, such as minimum acreage requirements, are set by the contributing agencies. WFIGS, NPS and CALFIRE data now include Prescribed Burns. Data InputSeveral data sources were used in the development of this layer, links are provided where possible below. In addition, many agencies are now using WFIGS as their authoritative source, beginning in mid-2020.Alaska fire history USDA FS Regional Fire History Data BLM Fire Planning and Fuels National Park Service - Includes Prescribed Burns Fish and Wildlife ServiceBureau of Indian AffairsCalFire FRAS - Includes Prescribed BurnsWFIGS - BLM & BIA and other S&LData LimitationsFire perimeter data are often collected at the local level, and fire management agencies have differing guidelines for submitting fire perimeter data. Often data are collected by agencies only once annually. If you do not see your fire perimeters in this layer, they were not present in the sources used to create the layer at the time the data were submitted. A companion service for perimeters entered into the WFDSS application is also available, if a perimeter is found in the WFDSS service that is missing in this Agency Authoritative service or a perimeter is missing in both services, please contact the appropriate agency Fire GIS Contact listed in the table below.AttributesThis dataset implements the NWCG Wildland Fire Perimeters (polygon) data standard.https://www.nwcg.gov/sites/default/files/stds/WildlandFirePerimeters_definition.pdfIRWINID - Primary key for linking to the IRWIN Incident dataset. The origin of this GUID is the wildland fire locations point data layer. (This unique identifier may NOT replace the GeometryID core attribute)INCIDENT - The name assigned to an incident; assigned by responsible land management unit. (IRWIN required). Officially recorded name.FIRE_YEAR (Alias) - Calendar year in which the fire started. Example: 2013. Value is of type integer (FIRE_YEAR_INT).AGENCY - Agency assigned for this fire - should be based on jurisdiction at origin.SOURCE - System/agency source of record from which the perimeter came.DATE_CUR - The last edit, update, or other valid date of this GIS Record. Example: mm/dd/yyyy.MAP_METHOD - Controlled vocabulary to define how the geospatial feature was derived. Map method may help define data quality.GPS-Driven; GPS-Flight; GPS-Walked; GPS-Walked/Driven; GPS-Unknown Travel Method; Hand Sketch; Digitized-Image; Digitized-Topo; Digitized-Other; Image Interpretation; Infrared Image; Modeled; Mixed Methods; Remote Sensing Derived; Survey/GCDB/Cadastral; Vector; OtherGIS_ACRES - GIS calculated acres within the fire perimeter. Not adjusted for unburned areas within the fire perimeter. Total should include 1 decimal place. (ArcGIS: Precision=10; Scale=1). Example: 23.9UNQE_FIRE_ - Unique fire identifier is the Year-Unit Identifier-Local Incident Identifier (yyyy-SSXXX-xxxxxx). SS = State Code or International Code, XXX or XXXX = A code assigned to an organizational unit, xxxxx = Alphanumeric with hyphens or periods. The unit identifier portion corresponds to the POINT OF ORIGIN RESPONSIBLE AGENCY UNIT IDENTIFIER (POOResonsibleUnit) from the responsible unit’s corresponding fire report. Example: 2013-CORMP-000001LOCAL_NUM - Local incident identifier (dispatch number). A number or code that uniquely identifies an incident for a particular local fire management organization within a particular calendar year. Field is string to allow for leading zeros when the local incident identifier is less than 6 characters. (IRWIN required). Example: 123456.UNIT_ID - NWCG Unit Identifier of landowner/jurisdictional agency unit at the point of origin of a fire. (NFIRS ID should be used only when no NWCG Unit Identifier exists). Example: CORMPCOMMENTS - Additional information describing the feature. Free Text.FEATURE_CA - Type of wildland fire polygon: Wildfire (represents final fire perimeter or last daily fire perimeter available) or Prescribed Fire or UnknownGEO_ID - Primary key for linking geospatial objects with other database systems. Required for every feature. This field may be renamed for each standard to fit the feature. Globally Unique Identifier (GUID).Cross-Walk from sources (GeoID) and other processing notesAK: GEOID = OBJECT ID of provided file geodatabase (4580 Records thru 2021), other federal sources for AK data removed. CA: GEOID = OBJECT ID of downloaded file geodatabase (12776 Records, federal fires removed, includes RX)FWS: GEOID = OBJECTID of service download combined history 2005-2021 (2052 Records). Handful of WFIGS (11) fires added that were not in FWS record.BIA: GEOID = "FireID" 2017/2018 data (416 records) provided or WFDSS PID (415 records). An additional 917 fires from WFIGS were added, GEOID=GLOBALID in source.NPS: GEOID = EVENT ID (IRWINID or FRM_ID from FOD), 29,943 records includes RX.BLM: GEOID = GUID from BLM FPER and GLOBALID from WFIGS. Date Current = best available modify_date, create_date, fire_cntrl_dt or fire_dscvr_dt to reduce the number of 9999 entries in FireYear. Source FPER (25,389 features), WFIGS (5357 features)USFS: GEOID=GLOBALID in source, 46,574 features. Also fixed Date Current to best available date from perimeterdatetime, revdate, discoverydatetime, dbsourcedate to reduce number of 1899 entries in FireYear.Relevant Websites and ReferencesAlaska Fire Service: https://afs.ak.blm.gov/CALFIRE: https://frap.fire.ca.gov/mapping/gis-dataBIA - data prior to 2017 from WFDSS, 2017-2018 Agency Provided, 2019 and after WFIGSBLM: https://gis.blm.gov/arcgis/rest/services/fire/BLM_Natl_FirePerimeter/MapServerNPS: New data set provided from NPS Fire & Aviation GIS. cross checked against WFIGS for any missing perimetersFWS -https://services.arcgis.com/QVENGdaPbd4LUkLV/arcgis/rest/services/USFWS_Wildfire_History_gdb/FeatureServerUSFS - https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_FireOccurrenceAndPerimeter_01/MapServer

The National Hydrography Dataset (NHD) and Watershed Boundary Dataset (WBD) are used to portray surface water on The National Map. The NHD represents the drainage network with features such as rivers, streams, canals, lakes, ponds, coastline, dams, and streamgages. The WBD represents drainage basins as enclosed areas in eight different size categories. Both datasets represent the real world at a nominal scale of 1:24,000-scale, which means that one inch of The National Map data equals 2,000 feet on the ground. To maintain mapping clarity not all water features are represented and those that are use a moderate level of detail. The NHD and WBD are digital vector datasets used by geographic information systems (GIS). These data are designed to be used in general mapping and in the analysis of surface water systems. In order to make a map these data must be used by a GIS to render the data and then print a map or make an image. The NHD is portrayed on the US Topo map product produced by the USGS and the NHD and WBD can be viewed on the Hydrography Viewer or the general mapping oriented The National Map Viewer. In mapping, the NHD and WBD are used with other data themes such as elevation, boundaries, transportation, and structures to produce general reference maps. The NHD and WBD are often used by scientists using GIS. GIS technologies take advantage of a rich set of attributes imbedded in the data to generate specialized information. These analyses are possible because the NHD contains a flow network that allows for tracing water downstream or upstream. The NHD and WBD use an addressing system based on reach codes and linear referencing to link specific information about the water such as water discharge rates, water quality, and fish population. The WBD exists in six levels of a nested hierarchy permitting the analysis to determine which drainage basin a particular location is enclosed in. This makes it possible to determine which rivers and lakes could be affected by an event such as a toxic spill. Using basic NHD features like flow network, linked information, and other characteristics, along with one of the six levels of WBD areas, it is possible to study cause and effect relationships, such as how a source of poor water quality upstream might affect a fish population downstream.

This polygon feature class shows the spatial extent and boundaries of Areas of Critical Environmental Concern that have become officially designated by the BLM. These polygon features were previously in a pre-designated status (i.e. being considered as areas to be eventually designated as official ACEC designated polygons). Once these polygon feature left the Pre-Designated phase (transitioned from a Considered to Designated status), they were removed from the ACEC Pre-designated polygon feature class and placed in this ACEC Designated polygon feature class. This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard sched

This dataset includes the polygon features representing the spatial extent and boundaries of the Bureau of Land Management (BLM) National Landscape Conservation System (NLCS) Wilderness Areas (WLD), Wilderness Study Areas (WSA), and Other Related Lands with wilderness characteristics (LWC) or managed for wilderness characteristics (MWC).The data standard for these boundaries will assist in the management of all eleven designations within the NLCS. Particularly, NLCS data pertains to the following BLM groups and their purposes: Land Use Planners, GIS Specialists, NLCS team leads, BLM managers, and public stakeholder groups.As early as 1926, the earliest advocates of wilderness preservation had acknowledged the beauty and important ecological values of the desert lands under the BLM’s administration as candidates for wilderness protection. In 1964, Congress established the National Wilderness Preservation System and designated the first Wilderness Areas in passing the Wilderness Act. The uniquely American idea of wilderness has become an increasingly significant tool to ensure long-term protection of natural landscapes. Wilderness protects the habitat of numerous wildlife species and serves as a biodiversity bank for many species of plants and animals. Wilderness is also a source of clean water.The Federal Land Policy and Management Act of 1976 directed the BLM to inventory and study its roadless areas for wilderness characteristics. Here identified areas became WSAs. The establishment of a WSA served to identify areas for Congress to consider for addition to the National Wilderness Preservation System. To be designated as a WSA, an area must have the following characteristics: Size - roadless areas of at least 5,000 acres of public lands or of a manageable size; Naturalness - generally appears to have been affected primarily by the forces of nature; Opportunities - provides outstanding opportunities for solitude or primitive and unconfined types of recreation. In addition, WSAs often have special qualities such as ecological, geological, educational, historical, scientific and scenic values.In June 2000, the BLM responded to growing concern over the loss of open space by creating the NLCS. The NLCS brings into a single system some of the BLM's premier designations. The Wilderness Areas, WSAs, and Other Related Lands represent three of these eleven premier designations. By putting these lands into an organized system, the BLM hopes to increase public awareness of these areas' scientific, cultural, educational, ecological and other values.The BLM's management of all public lands included data within the NLCS is guided by the Federal Land Policy and Management Act (FLPMA). FLPMA ensures that many of BLM's traditional activities such as grazing and hunting, continue on the lands within the NLCS, provided these activities are consistent with the overall purpose of the area.A Wilderness is a special place where the earth and its community of life are essentially undisturbed; they retain a primeval character, without permanent improvements and generally appear to have been affected primarily by the forces of nature. BLM NLCS Other Related Lands are lands not in Wilderness or WSAs that have been determined to have wilderness character through inventory or land use planning. These lands fall into one of two categories. The first category are lands with "wilderness value and characteristics". These are inventoried areas not in Wilderness or WSAs that have been determined to meet the size, naturalness, and the outstanding solitude and/or the outstanding primitive and unconfined recreation criteria. The second category are "wilderness characteristic protection areas". These are former lands with "wilderness value and characteristics" where a plan decision has been made to protect them.To be designated as a WSA, an area must have the following characteristics: Size - roadless areas of at least 5,000 acres of public lands or of a manageable size; Naturalness - generally appears to have been affected primarily by the forces of nature; Opportunities - provides outstanding opportunities for solitude or primitive and unconfined types of recreation. In addition, WSAs often have special qualities such as ecological, geological, educational, historical, scientific and scenic values.There were forty-seven Wilderness Areas established under the Arizona Wilderness Act of 1984 and Arizona Desert Wilderness Act of 1990. These Acts require the BLM to file boundary legal descriptions and maps to Congress for each Wilderness Area. The standards, format, and language for the legal descriptions and boundary maps were developed during regular meetings of the NLCS Coordinator, GIS specialists and the Cadastral Surveyors. Guidance was provided from congressionally-required map and legal boundary descriptions detailed in the NLCS Designation Manual 6120 (March, 2010). All Arizona BLM Wilderness Area boundary legal descriptions and maps have been transmitted to Congress and certified by the Chief of Cadastral Survey and Arizona State Director. There should be no changes to Wilderness Boundary GIS data. Boundary changes can only be made through an amendment to the legal description and this would need to be sent back to Congress.