<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata>
    <idinfo>
        <citation>
            <citeinfo>
                <origin>U.S. Geological Survey (USGS) Gap Analysis Project (GAP)</origin>
                <pubdate>20220131</pubdate>
                <title>Protected Areas Database of the United States (PAD-US) 3.0</title>
                <edition>3.0</edition>
                <geoform>vector and tabular digital data</geoform>
                <serinfo>
                    <sername>PAD-US</sername>
                    <issue>Version 3.0</issue>
                </serinfo>
                <pubinfo>
                    <pubplace> https://www.usgs.gov/gapanalysis/PAD-US/ </pubplace>
                    <publish>U.S. Geological Survey (USGS)</publish>
                </pubinfo>
                <onlink>withheld</onlink>
                <onlink>withheld</onlink>
                <onlink>withheld</onlink>
                <lworkcit>
                    <citeinfo>
                        <origin>USGS Gap Analysis Project</origin>
                        <pubdate>20220131</pubdate>
                        <title>Protected Areas Database of the United States (PAD-US)</title>
                        <edition>3.0</edition>
                        <geoform>geodatabase</geoform>
                        <pubinfo>
                            <pubplace> https://www.usgs.gov/gapanalysis/PAD-US/ </pubplace>
                            <publish>U.S. Geological Survey (USGS)</publish>
                        </pubinfo>
                        <onlink>withheld</onlink>
                    </citeinfo>
                </lworkcit>
            </citeinfo>
        </citation>
        <descript>
            <abstract>The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://communities.geoplatform.gov/ngda-cadastre/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent years to include all open space public and nonprofit lands and waters. Most are public lands owned in fee (the owner of the property has full and irrevocable ownership of the land); however, permanent and long-term easements, leases, agreements, Congressional (e.g. 'Wilderness Area'), Executive (e.g. 'National Monument'), and administrative designations (e.g. 'Area of Critical Environmental Concern') documented in agency management plans are also included. The PAD-US strives to be a complete inventory of U.S. public land and other protected areas, compiling “best available” data provided by managing agencies and organizations. The PAD-US geodatabase maps and describes areas using thirty-six attributes and five separate feature classes representing the U.S. protected areas network: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. An additional Combined feature class includes the full PAD-US inventory to support data management, queries, web mapping services, and analyses. The Feature Class (FeatClass) field in the Combined layer allows users to extract data types as needed. A Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) facilitates the extraction of authoritative federal data provided or recommended by managing agencies from the Combined PAD-US inventory.

This PAD-US Version 3.0 dataset includes a variety of updates from the previous Version 2.1 dataset (USGS, 2020, https://doi.org/10.5066/P92QM3NT ), achieving goals to: 1) Annually update and improve spatial data representing the federal estate for PAD-US applications; 2) Update state and local lands data as state data-steward and PAD-US Team resources allow; and 3) Automate data translation efforts to increase PAD-US update efficiency. The following list summarizes the integration of "best available" spatial data to ensure public lands and other protected areas from all jurisdictions are represented in the PAD-US (other data were transferred from PAD-US 2.1).

Federal updates - The USGS remains committed to updating federal fee owned lands data and major designation changes in annual PAD-US updates, where authoritative data provided directly by managing agencies are available or alternative data sources are recommended. The following is a list of updates or revisions associated with the federal estate: 

1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations where available), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census Bureau), Department of Defense (DOD), U.S. Fish and Wildlife Service (FWS), National Park Service (NPS), Natural Resources Conservation Service (NRCS), U.S. Forest Service (USFS), and National Oceanic and Atmospheric Administration (NOAA). The federal theme in PAD-US is developed in close collaboration with the Federal Geographic Data Committee (FGDC) Federal Lands Working Group (FLWG, https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/ ).

2) Improved the representation (boundaries and attributes) of the National Park Service, U.S. Forest Service, Bureau of Land Management, and U.S. Fish and Wildlife Service lands, in collaboration with agency data-stewards, in response to feedback from the PAD-US Team and stakeholders.

3) Added a Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) to the PAD-US 3.0 geodatabase to facilitate the extraction (by Data Provider, Dataset Name, and/or Aggregator Source) of authoritative data provided directly (or recommended) by federal managing agencies from the full PAD-US inventory. A summary of the number of records (Frequency) and calculated GIS Acres (vs Documented Acres) associated with features provided by each Aggregator Source is included; however, the number of records may vary from source data as the "State Name" standard is applied to national files. The Feature Class (FeatClass) field in the table and geodatabase describe the data type to highlight overlapping features in the full inventory (e.g. Designation features often overlap Fee features) and to assist users in building queries for applications as needed. 

4) Scripted the translation of the Department of Defense, Census Bureau, and Natural Resource Conservation Service source data into the PAD-US format to increase update efficiency.

5) Revised conservation measures (GAP Status Code, IUCN Category) to more accurately represent protected and conserved areas. For example, Fish and Wildlife Service (FWS) Waterfowl Production Area Wetland Easements changed from GAP Status Code 2 to 4 as spatial data currently represents the complete parcel (about 10.54 million acres primarily in North Dakota and South Dakota). Only aliquot parts of these parcels are documented under wetland easement (1.64 million acres). These acreages are provided by the U.S. Fish and Wildlife Service and are referenced in the PAD-US geodatabase Easement feature class 'Comments' field.

State updates - The USGS is committed to building capacity in the state data-steward network and the PAD-US Team to increase the frequency of state land updates, as resources allow. The USGS supported efforts to significantly increase state inventory completeness with the integration of local parks data in the PAD-US 2.1, and developed a state-to-PAD-US data translation script during PAD-US 3.0 development to pilot in future updates. Additional efforts are in progress to support the technical and organizational strategies needed to increase the frequency of state updates. The PAD-US 3.0 included major updates to the following three states:

1) California - added or updated state, regional, local, and nonprofit lands data from the California Protected Areas Database (CPAD), managed by GreenInfo Network, and integrated conservation and recreation measure changes following review coordinated by the data-steward with state managing agencies. Developed a data translation Python script (see Process Step 2 Source Data Documentation) in collaboration with the data-steward to increase the accuracy and efficiency of future PAD-US updates from CPAD. 

2) Virginia - added or updated state, local, and nonprofit protected areas data (and removed legacy data) from the Virginia Conservation Lands Database, provided by the Virginia Department of Conservation and Recreation's Natural Heritage Program, and integrated conservation and recreation measure changes following review by the data-steward.

3) West Virginia - added or updated state, local, and nonprofit protected areas data provided by the West Virginia University, GIS Technical Center.

For more information regarding the PAD-US dataset please visit, https://www.usgs.gov/gapanalysis/PAD-US/.  For more information about data aggregation please review the PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual .

A version history of PAD-US updates is summarized below (See https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-history for more information): 
1) First posted - April 2009 (Version 1.0 - available from the PAD-US: Team pad-us@usgs.gov).
2) Revised - May 2010 (Version 1.1 - available from the PAD-US: Team pad-us@usgs.gov).
3) Revised - April 2011 (Version 1.2 - available from the PAD-US: Team pad-us@usgs.gov).
4) Revised - November 2012 (Version 1.3) https://doi.org/10.5066/F79Z92XD
5) Revised - May 2016 (Version 1.4) https://doi.org/10.5066/F7G73BSZ
6) Revised - September 2018 (Version 2.0) https://doi.org/10.5066/P955KPLE
7) Revised - September 2020 (Version 2.1) https://doi.org/10.5066/P92QM3NT 
8) Revised - January 2022 (Version 3.0) https://doi.org/10.5066/P9Q9LQ4B   
Comparing protected area trends between PAD-US versions is not recommended without consultation with USGS as many changes reflect improvements to agency and organization GIS systems, or conservation and recreation measure classification, rather than actual changes in protected area acquisition on the ground.
</abstract>
            <purpose>The PAD-US geodatabase was originally developed to organize and assess the management status (i.e. apply 'GAP Status Code') of elements of biodiversity protection by identifying species and plant communities not adequately represented in existing conservation lands ( https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap ).  In cooperation with the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), PAD-US also supports global conservation analyses to inform policy decisions ( https://www.protectedplanet.net/country/USA , https://www.protectedplanet.net/en/resources/global-reports ). The dataset is robust and has been expanded in recent years with major additions of local parks data to PAD-US 2.1, to support the recreation, natural resource management, wildfire planning, emergency management, transportation, research, and public health communities. New applications of the data are frequently discovered. Multiple attributes and a flexible database structure provide context for data to be used at local, regional, state, national, and international scales. See https://www.usgs.gov/gapanalysis/PAD-US-resources for more information.</purpose>
            <supplinf>The PAD-US database strives to be a complete inventory of areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational or cultural uses, managed for these purposes through legal or other effective means. PAD-US is an aggregation of “best available” spatial data provided by agencies and organizations at a point in time. This includes both fee ownership of lands as well as management through leases, easements, or other binding agreements. The inventory also includes Congressional designations, Executive designations, and administrative designations identified in management plans (e.g. Bureau of Land Management 'Area of Critical Environmental Concern'). These factors provide for a robust dataset offering a spatial representation of the complex U.S. protected areas network. It is important to have in mind a specific analysis question when approaching how to work with the data. As a full inventory of areas aggregated from authoritative source data whenever possible, PAD-US includes overlapping designation types and small boundary discrepancies between agency datasets. Overlapping designations mainly occur in the Federal estate of the 'Designation' or 'Combined' feature class (e.g. 'Wild and Scenic River' over a 'Wilderness Area' both within a 'National Forest' boundary or a 'State Wildlife Area' over Federal Fee owned land). See the Entity_and_Attribute_Information Section for more information about PAD-US feature classes.  

It is important to note the presence of overlaps especially when trying to calculate area statistics; overlapping boundaries count the same area of ground multiple times. While minor boundary discrepancies remain, most major overlaps have been removed from the 'Fee' feature class and this is the best source for overall land area calculations by land manager ('Manager Name') within the PAD-US database (data gaps limit calculations by fee ownership or 'Owner Name'). Statistics summarizing 'Public Access' or Protection Status ('GAP Status Code') by managing agency or organization from an analysis of the PAD-US 'Combined' feature class are available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-statistics-and-reports . The PAD-US database is a direct aggregation of source data and the PAD-US development team rarely alters spatial linework.  Exceptions are: 1) to “clip” polygon boundaries along State legal boundary lines (using the annually updated, national, authoritative State boundary file provided by the U.S. Census Bureau,  https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_substategeo.gdb.zip ), 2) to remove the small segments of boundaries created by this process associated with State or local lands (not Federal or nonprofit lands), and 3) to integrate Bureau of Land Management Field or District Office boundaries into the large boundaries representing National Public Lands (mainly across the West) to attribute PAD-US "Unit Name" and support PAD-US applications (e.g. Wildland Fire Decision Tools). Some boundary discrepancies (or slivers) remain in the dataset. Data overlaps are shared (see 'Processing Step 10 Fee Topology Assessment' in this data release or Fee Topology web services in the PAD-US Viewer, https://maps.usgs.gov/padus/ ), along with the U.S. Census Bureau national State jurisdictional boundary standard (updated annually) with PAD-US data-stewards to facilitate edits in source files, as appropriate, that will then be incorporated into subsequent PAD-US versions over time. 


This PAD-US Version 3.0 dataset includes a variety of updates and improvements (listed in the abstract) to address user needs from the previous version 2.1 dataset. The PAD-US database is built in collaboration with many partners and data-stewards. Information regarding data-stewards is available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-data-stewards .


Story maps, presentations, and other descriptions of the PAD-US and applications include:

1) U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, Protected Areas Database of the United States (PAD-US) 3.0 Spatial Analysis and Statistics: U.S. Geological Survey (USGS), https://doi.org/10.5066/P9KLBB5D .

2) Conserving and Restoring American the Beautiful, 2021: A preliminary report to the National Climate Task Force recommending a ten-year, locally led campaign to conserve and restore the lands and waters upon which we all depend, and that bind us together as Americans ( https://www.doi.gov/sites/doi.gov/files/report-conserving-and-restoring-america-the-beautiful-2021.pdf ) .

3) U.S. Geological Survey, 2021, Analysis of Updated USGS Database Finds Increase in America’s Lands and Waters Managed for Biodiversity. U.S. Geological Survey Technical Announcement: https://www.usgs.gov/news/analysis-updated-usgs-database-finds-increase-america-s-lands-and-waters-managed-biodiversity .

4) 2021 National Park Service's Connected Conservation Seminar Series. Protected Areas Database with USGS ( https://www.nps.gov/articles/000/c2-pad-us.htm ).

5) Davidson, A.; Dunn, L.; Gergely, K.; McKerrow, A.; Williams, S.; Case, M. Refining the coarse filter approach: Using habitat-based species models to identify rarity and vulnerabilities in the protection of U.S. biodiversity. Global Ecolology and Conservation, Volume 28. 2021. https://doi.org/10.1016/j.gecco.2021.e01598 .

6) 2021 The State of PAD-US Data: Completeness, Scale, and Update Frequency for Source Data in the Protected Areas Database of the U.S. (3.0) as of November 2021 ( https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/11/StateofPADUS_Nov2021.pdf ).

7) U.S. Geological Survey (USGS) - GAP Analysis Project (GAP), 2021, Protected Areas Database of the United States (PAD-US) 2.1 - World Database on Protected Areas (WDPA) Submission (ver 1.1, April 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9IVLRSS.

8) Morgan, J.; Rhoden, C.; White, B.; Riley, S. A state assessment of private lands wildlife conservation in the United States. Wildlife Society Bulletin, Volume 43, Issue 3. 2019.  https://doi.org/10.1002/wsb.997 .

9) Completing America’s Inventory of Public Parks and Protected Areas: An Action Plan for 2016 - 2020: https://www.protectedlands.net/vision/ .  

10) Online PAD-US Help System: http://www.protectedlands.net/help/ .

11) 2020 USGS Supports Wildland Fire Decision Support: http://www.protectedlands.net/uses/usgs-supports-wildland-fire-decision-support/ . 

12) 2019 How to Use PAD-US in Base Maps - Guidelines for Incorporating Public Park and Related Protected Areas Data for the U.S. into Online Base Maps ( https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2019/09/Guidelines-for-Base-Maps-Data-Use_Version17Sept2019.pdf ).

13) 2019 PAD-US Helps Connect Trail Systems Nationally: http://www.protectedlands.net/uses/pad-us-helps-connect-trail-systems-nationally/ .

14) 2018 New Federal Lands Recreation Poster Map: http://www.protectedlands.net/uses/new-federal-recreation-lands-poster/ .

15) 2018 DOI Office of Policy Analysis Seminar: The New and Improved PAD-US 2.0 (with FGDC Federal Lands Working Group panel): https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/12/DOI_PPA_Seminar_PDF2018July9_FINAL.pdf .  

16) 2017 DOI Office of Policy Analysis Seminar: All of America’s Parks and Protected Areas - Building and Using the PAD-US (with Federal Lands Working Group panel): https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/12/PADUS-DOI-PPA_Seminar_Final2017.pdf . 

17) Johnson, Lisa, Croft, Mason, and Larry Orman. 2017. "Building a complete GIS database of protected areas: USGS leads inventory of lands in the public interest." Esri ArcNews. Spring 2017. Volume 39, Number 2. https://www.esri.com/about/newsroom/arcnews/building-a-complete-gis-database-of-protected-areas/ .

18) 2017 PAD-US and City Parks: http://www.protectedlands.net/uses/pad-us-and-cityregional-park-agencies/ . 

19) 2017 The Lands We Share: America’s Protected Areas: https://storymaps.esri.com/stories/2017/protected-areas/ . 

20) Jarvis, Jonathan B. A Report on North American Conservation. Presented on behalf of NAWPA. 2016 World Conservation Congress:  https://story.maps.arcgis.com/apps/Cascade/index.html?appid=6d3a412ee9f34ce7868667bda19e5679 .  

21) NAWPA Committee. 2016. Conservation in North America: An analysis of land-based conservation in Canada, Mexico, and the United States by NAWPA agencies. Report. North American Intergovernmental Committee on Cooperation for Wilderness and Protected Area Conservation; Canada, Mexico, and the United States of America.  http://nawpacommittee.org/wp-content/uploads/2016/08/Conservation-in-North-America.pdf .

22) Grant, Tamara. 2017. Federal Agencies Working Together to Improve Data in the Living Atlas. Esri ArcGIS Blog, Analytics: https://www.esri.com/arcgis-blog/products/arcgis-living-atlas/analytics/federal-agencies-working-together-to-improve-data-in-the-living-atlas/ .

23) Building Green Infrastructure in the U.S: A Framework for Sustainable Growth: https://www.esri.com/en-us/industries/green-infrastructure/overview .

</supplinf>
        </descript>
        <timeperd>
            <timeinfo>
                <rngdates>
                    <begdate>2005</begdate>
                    <enddate>2021</enddate>
                </rngdates>
            </timeinfo>
            <current>publication date</current>
        </timeperd>
        <status>
            <progress>Complete</progress>
            <update>Annually</update>
        </status>
        <spdom>
            <bounding>
                <westbc>-180.0000</westbc>
                <eastbc>180.0000</eastbc>
                <northbc>71.3120</northbc>
                <southbc>-15.3861</southbc>
            </bounding>
        </spdom>
        <keywords>
            <theme>
                <themekt>None</themekt>
                <themekey>NGDA Portfolio Themes</themekey>
                <themekey>NGDA</themekey>
                <themekey>National Geospatial Data Asset</themekey>
                <themekey>Cadastre Theme</themekey>
                <themekey>NGDAID27</themekey>
                <themekey>Protected Area</themekey>
                <themekey>Land Manager</themekey>
                <themekey>GAP Status Code</themekey>
                <themekey>Land Stewardship</themekey>
                <themekey>Land Ownership</themekey>
                <themekey>Gap Analysis</themekey>
                <themekey>Biodiversity</themekey>
                <themekey>Conservation</themekey>
                <themekey>Protection Status</themekey>
                <themekey>IUCN Category</themekey>
                <themekey>Federal Lands</themekey>
                <themekey>Public Lands</themekey>
                <themekey>Outdoor Recreation</themekey>
                <themekey>Public Health</themekey>
                <themekey>Public Open Space</themekey>
                <themekey>Parks</themekey>
                <themekey>Governmental Units</themekey>
                <themekey>State Lands</themekey>
                <themekey>Private Lands</themekey>
                <themekey>Local Government Lands</themekey>
            </theme>
            <theme>
                <themekt>Federal Agencies and Programs</themekt>
                <themekey>Forest Service</themekey>
                <themekey>Bureau of Land Management</themekey>
                <themekey>National Park Service</themekey>
                <themekey>U.S. Fish and Wildlife Service</themekey>
                <themekey>Department of Defense</themekey>
                <themekey>Army Corps of Engineers</themekey>
                <themekey>National Oceanic and Atmospheric Administration</themekey>
                <themekey>Natural Resources Conservation Service</themekey>
                <themekey>Bureau of Reclamation</themekey>
                <themekey>Tennessee Valley Authority</themekey>
                <themekey>Department of Energy</themekey>
                <themekey>Agricultural Research Service</themekey>
            </theme>
            <theme>
                <themekt>USGS Thesaurus</themekt>
                <themekey>Geography</themekey>
                <themekey>Land Use Change</themekey>
                <themekey>Land Use and Land Cover</themekey>
                <themekey>Protected Area</themekey>
            </theme>
            <theme>
                <themekt>NGDA Portfolio Themes</themekt>
                <themekey>NGDA</themekey>
                <themekey>National Geospatial Data Asset</themekey>
                <themekey>Cadastre Theme</themekey>
                <themekey>NGDAID27</themekey>
            </theme>
            <place>
                <placekt>None</placekt>
                <placekey>United States</placekey>
                <placekey>Alabama (AL)</placekey>
                <placekey>Alaska (AK)</placekey>
                <placekey>Arizona (AZ)</placekey>
                <placekey>Arkansas (AR)</placekey>
                <placekey>California (CA)</placekey>
                <placekey>Colorado (CO)</placekey>
                <placekey>Connecticut (CT)</placekey>
                <placekey>Delaware (DE)</placekey>
                <placekey>Florida (FL)</placekey>
                <placekey>Georgia (GA)</placekey>
                <placekey>Hawaii (HI)</placekey>
                <placekey>Idaho (ID)</placekey>
                <placekey>Illinois (IL)</placekey>
                <placekey>Indiana (IN)</placekey>
                <placekey>Iowa (IA)</placekey>
                <placekey>Kansas (KS)</placekey>
                <placekey>Kentucky (KY)</placekey>
                <placekey>Louisiana (LA)</placekey>
                <placekey>Maine (ME)</placekey>
                <placekey>Maryland (MD)</placekey>
                <placekey>Massachusetts (MA)</placekey>
                <placekey>Michigan (MI)</placekey>
                <placekey>Minnesota (MN)</placekey>
                <placekey>Mississippi (MS)</placekey>
                <placekey>Missouri (MO)</placekey>
                <placekey>Montana (MT)</placekey>
                <placekey>Nebraska (NE)</placekey>
                <placekey>Nevada (NV)</placekey>
                <placekey>New Hampshire (NH)</placekey>
                <placekey>New Jersey (NJ)</placekey>
                <placekey>New Mexico (NM)</placekey>
                <placekey>New York (NY)</placekey>
                <placekey>North Carolina (NC)</placekey>
                <placekey>North Dakota (ND)</placekey>
                <placekey>Ohio (OH)</placekey>
                <placekey>Oklahoma (OK)</placekey>
                <placekey>Oregon (OR)</placekey>
                <placekey>Pennsylvania (PA)</placekey>
                <placekey>Rhode Island (RI)</placekey>
                <placekey>South Carolina (SC)</placekey>
                <placekey>South Dakota (SD)</placekey>
                <placekey>Tennessee (TN)</placekey>
                <placekey>Texas (TX)</placekey>
                <placekey>Utah (UT)</placekey>
                <placekey>Vermont (VT)</placekey>
                <placekey>Virginia (VA)</placekey>
                <placekey>Washington (WA)</placekey>
                <placekey>West Virginia (WV)</placekey>
                <placekey>Wisconsin (WI)</placekey>
                <placekey>Wyoming (WY)</placekey>
                <placekey>American Samoa (AS)</placekey>
                <placekey>Mariana Islands (MP)</placekey>
                <placekey>Guam (GU)</placekey>
                <placekey>Puerto Rico (PR)</placekey>
                <placekey>U.S. Minor Outlying Islands (UM)</placekey>
                <placekey>United States Virgin Islands (VI)</placekey>
            </place>
            <place>
                <placekt>Common geographic areas</placekt>
                <placekey>United States</placekey>
            </place>
            <temporal>
                <tempkt>None</tempkt>
                <tempkey>2005</tempkey>
                <tempkey>2006</tempkey>
                <tempkey>2007</tempkey>
                <tempkey>2008</tempkey>
                <tempkey>2009</tempkey>
                <tempkey>2010</tempkey>
                <tempkey>2011</tempkey>
                <tempkey>2012</tempkey>
                <tempkey>2013</tempkey>
                <tempkey>2014</tempkey>
                <tempkey>2015</tempkey>
                <tempkey>2016</tempkey>
                <tempkey>2017</tempkey>
                <tempkey>2018</tempkey>
                <tempkey>2019</tempkey>
                <tempkey>2020</tempkey>
                <tempkey>2021</tempkey>
            </temporal>
        </keywords>
        <accconst>These data are in the public domain.</accconst>
        <useconst>The Digital Object Identifier https://doi.org/10.5066/P9Q9LQ4B for PAD-US 3.0 provides the persistent reference that should be used to obtain the data for use.  


The U.S. Geological Survey and all contributing data partners shall not be held liable for improper or incorrect use of the data described and (or) contained herein. All information is created with a specific end use or uses in mind. This is especially true for GIS data, which is expensive to produce and must be directed to meet the immediate program needs. These data were created with the expectation that they would be used for other applications; however, inappropriate uses are listed below. This list is in no way exhaustive but should serve as a guide to assess whether a proposed use can or cannot be supported by these data. For many uses, it is unlikely that PAD-US will provide the only data needed, and for uses with a regulatory outcome, authoritative agency data and field surveys should verify the result. 
PAD-US is recommended for users seeking general information about more than one agency or organization's lands. Users should seek authoritative source data directly to answer questions regarding one agency or those requiring more frequent updates (See PAD-US Steward Reports for contacts and agency data download locations: http://www.protectedlands.net/data-stewards/ ). The PAD-US includes the best available representation of federally owned lands (meaning a federal agency or the U.S. holds the title records), developed from authoritative source data in direct collaboration with federal agency data-stewards. Several ownership related data gaps exist and USGS provides no legal warranty. Agencies are always the official and best source of their land data and some update more frequently than PAD-US. The FGDC Federal Lands Working Group recommends the use of PAD-US to describe federally managed lands (i.e. “Manager Name” not “Owner Name”), unless spatial data inventory completeness is over 95% and appropriate scale for display is 1:24,000 as illustrated in “State of PAD-US Data” (e.g. USFS, USFWS, NPS, BLM, DOD) - a graphical summary of inventory completeness, appropriate scale, and update frequency at: https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/02/StateofPADUS_Feb2021.pdf ) .

Ultimately, it is the responsibility of each data user to determine if these data can answer the question being asked. Furthermore, the database is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use.

Inappropriate uses include: Using PAD-US for applications or analyses associated with one agency or a particular unit (agencies are always the best and authoritative source of their land data and many publish updates more frequently than PAD-US). Using data to map small areas, typically requiring mapping resolution at scale finer than 1:24,000, as boundary quality varies by data source (See "State of PAD-US Data") and using aerial photographs or ground surveys in areas where data are incomplete. Combining these data with other data finer than 1:100,000 scale (except for select federal agencies or states identified in "State of PAD-US Data") to produce new hybrid maps or answer queries. Generating specific areal measurements from the data finer than the nearest thousand hectares. Representing boundaries as a legal representation for regulation or acquisition. Establishing definite occurrence or non-occurrence of any feature for an exact geographic area. Determining abundance, health, or condition of any feature. Using the data without acquiring and reviewing the metadata.</useconst>
        <ptcontac>
            <cntinfo>
                <cntorgp>
                    <cntorg>USGS Science Analytics and Synthesis (SAS)</cntorg>
                    <cntper>PAD-US Team</cntper>
                </cntorgp>
                <cntpos>PAD-US Dataset Manager</cntpos>
                <cntaddr>
                    <addrtype>mailing address</addrtype>
                    <address>PO Box 25046, MS 302</address>
                    <city>Denver</city>
                    <state>Colorado</state>
                    <postal>80225</postal>
                    <country>USA</country>
                </cntaddr>
                <cntvoice>1-888-275-8747</cntvoice>
                <cntemail>pad-us@usgs.gov</cntemail>
            </cntinfo>
        </ptcontac>
        <datacred>U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, Protected Areas Database of the United States (PAD-US) 3.0: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q9LQ4B </datacred>
        <native>Python 9.3; Esri ArcGIS 10.6 (Build 8321), PAD_US3_0.gdb (1.01 GB)</native>
        <crossref>
            <citeinfo>
                <origin>USGS Gap Analysis Project</origin>
                <pubdate>20220131</pubdate>
                <title>Protected Areas Database of the United States (PAD-US)</title>
                <edition>3.0</edition>
                <geoform>vector digital data</geoform>
                <onlink>withheld</onlink>
            </citeinfo>
        </crossref>
    </idinfo>
    <dataqual>
        <attracc>
            <attraccr>As a compilation of many datasets, attribute completeness and accuracy may vary. Federal and state data providers reviewed the translation of their spatial data files into the PAD-US schema and several provide data in the PAD-US format. In addition, the PAD-US Team summarized and reviewed the final aggregated database and each feature class for overall attribute accuracy and consistency as described in the PAD-US 3.0 Review Summary Tables (See Process Step 9) attached in this data release.</attraccr>
        </attracc>
        <logic>Boundary discrepancies (mostly small slivers) between agency datasets and major overlaps associated with fee ownership (mostly between Federal and State lands) have been identified and are shared with data-stewards, who will edit source files as appropriate and resources allow. Users are encouraged to review topology overlap errors associated with the PAD-US 3.0 Fee Topology Overlap Assessment (see 'Processing Step 10 Fee Topology Assessment' attached in this data release or Fee Topology web services in the PAD-US Viewer, https://maps.usgs.gov/padus/) for reference. The topology assessment identifies all overlaps (minimum distance between feature coordinates to evaluate overlap relationship = 0.05 meter), large (greater than 5 acres) and small (less than 5 acres) overlaps, between Federal lands and between Federal and State agency lands in the Fee feature class.</logic>
        <complete>This dataset is considered complete for the information presented, as described in the abstract and supplemental information section. Estimated completeness of the PAD-US 2.1 inventory, by Federal agency or State, is available at http://www.protectedlands.net/data-stewards. This information will be updated, with partners, after an assessment of PAD-US 3.0 following the data release. Qualitative completeness estimates balance acres inventoried and the quality of data/attributes in each inventory, including fee owned parcels, easement interests, and major designations. For example, Federal agencies estimate the percent completeness of lands data submitted for PAD-US 2.1 as: NPS (95%), USFS (99%), FWS (89%), BLM (85%), U.S. Army Corps of Engineers (USACE) (80%), Department of Defense (DOD) (79%), U.S. Bureau of Reclamation (USBR) (50%), NRCS (85%), Bureau of Ocean Energy Management (BOEM) (95%), National Oceanic and Atmospheric Administration (NOAA) (95%), California (95%), West Virginia (70%), and Virginia (95%). USGS seeks to increase the completeness, efficiency, and accuracy of PAD-US updates in collaboration with data-stewards as summarized in, "State of PAD-US Data" ( https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/02/StateofPADUS_Feb2021.pdf , periodic updates available on FLWG website), "Completing America's Inventory of Public Parks and Protected Areas: An Action Plan for 2016 - 2020" (November, 2016), and "A Map of the Future", published following the PAD-US Design Project (July, 2009) available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-vision .</complete>
        <posacc>
            <horizpa>
                <horizpar>As a compilation of many datasets, attribute completeness and accuracy may vary. Federal data providers reviewed the translation of their spatial data files into the PAD-US schema. In addition, the PAD-US Team summarized and reviewed the final aggregated database and each feature class for overall attribute accuracy and consistency as described in PAD-US 3.0 Review Summary Tables (See Process Step 9 attached in this data release).</horizpar>
            </horizpa>
            <vertacc>
                <vertaccr>A formal accuracy assessment of the vertical positional information in the data set is not applicable.</vertaccr>
            </vertacc>
        </posacc>
        <lineage>
            <procstep>
                <procdesc>PAD-US 3.0 Planning, Blank Schema, and Data Manual: The PAD-US database aggregation involves the compilation of thousands of agency and nonprofit organization source data files from a network of nearly 100 data-stewards, with select updates prioritized annually based on needs, the availability of source data, and resources. The USGS is committed to building capacity in the state data-steward network and the PAD-US Team to increase the frequency of state land updates as resources allow. The USGS supported efforts to complete state inventories with the integration of local parks data in the PAD-US 2.1, and tested a state-to-PAD-US data translation script during PAD-US 3.0 development. Additional efforts are in progress to support the technical and organizational strategies needed to increase the frequency of state updates. The PAD-US 3.0 included major updates to the federal estate, CA, WV, and VA. The first processing step in the PAD-US development was to update the Blank PAD-US schema (Process Step 1, Create Blank Schema attached in this data release) in response to data-steward and user feedback and the PAD-US Action Plan ( https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-vision ). The blank schema provides a blueprint of the database for the PAD-US Team to load input files for PAD-US aggregation and it is shared with data-stewards seeking to submit source data in the PAD-US format. Data aggregation and development are an ongoing and evolving process as land management agency and nonprofit organization GIS systems mature and stakeholder feedback improve the process. The PAD-US Data Manual and schema has changed over time to better reflect user needs, with the majority of changes reflected in the PAD-US 2.0 providing a more stable format to further develop data partnerships and increase automation. The schema includes all the components to build the PAD-US 3.0, including the multiple feature class structure ('Fee', 'Designation', 'Easement', 'Proclamation', 'Marine', 'Combined'), core attributes, and all standardized domain tables ('State Name', 'IUCN Category', 'GAP Status Code', 'Designation Type', 'Category', 'Agency Type', 'Agency Name', 'Public Access'). A "Feature Class" (FeatClass) field is available in the fully Combined layer to describe which feature class the data originated from and for users to extract data types as needed (see Federal Data Reference lookup table for authoritative federal data). The 'Marine' and 'Easement' feature classes also include fields (in addition to PAD-US core attributes) unique to the NOAA Marine Protected Areas Inventory and National Conservation Easement Database. In addition, the Blank PAD-US 3.0 Schema includes the U.S. Census Bureau State file (from the national sub-state geography geodatabase: https://www2.census.gov/geo/tiger/TGRGDB20/tlgdb_2020_a_us_substategeo.gdb.zip ) that serves as the common standard (updated annually) for legal State jurisdictional boundaries, the 'State Name' field in the PAD-US, and the full extent of analysis products. The PAD-US development team works closely with a large variety of stakeholders including development partners, data sources, and data users to develop and maintain the "Data Manual for PAD-US" Table crosswalks (online resource available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual ) .</procdesc>
                <procdate>20210125</procdate>
            </procstep>
            <procstep>
                <procdesc>Source Data Documentation and Translation: The PAD-US Data-Steward Network includes Federal, State, and nonprofit partners that provide source data files for PAD-US as summarized in online and pdf Steward Reports ( http://www.protectedlands.net/data-stewards/ ). More information about the PAD-US Data-Steward Network is available on the PAD-US website ( https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-data-stewards ). Eight federal agencies (BLM, Census Bureau, DOD, FWS, NPS, NRCS, USFS, NOAA) and three state aggregators (CA, WV, VA) delivered data for PAD-US 3.0 or USGS compiled data from agency recommended sources (See details about data contributors and source data files in Process Step 2, Source Data Documentation attached in this data release). The PAD-US Team translated individual source files into the PAD-US format (unless provided by the data-steward in the PAD-US format).</procdesc>
                <procdate>20210129</procdate>
            </procstep>
            <procstep>
                <procdesc>Quality Assessment and Quality Control: The PAD-US development team uses a Python script to generate a Quality Assessment and Quality Control (QA/QC) report each time a source file is submitted or translated to ensure the major components needed for database aggregation are included (See Process Step 3, PAD-US QA/QC attached in this data release). Subsequent process steps will outline the general workflow and processes used to compile each major component of the final database.</procdesc>
                <procdate>20210315</procdate>
            </procstep>
            <procstep>
                <procdesc>Local Agency to Agency Name Crosswalk: A Python script was used to crosswalk data provided by PAD-US contributors, referencing the land owner or managing entity for a unit, into standardized PAD-US geodatabase domain tables (See PAD-US Process Step 4 Local Agency to Agency Name Crosswalk attached in this data release). PAD-US retains source data as provided in the 'Local Owner' and 'Local Manager' fields. These fields often provide additional detail to complement the standardized 'Owner Name' and 'Manager Name' fields, respectively.</procdesc>
                <procdate>20210425</procdate>
            </procstep>
            <procstep>
                <procdesc>Transfer Locally Reviewed Conservation and Recreation Measures from PAD-US 2.1: Input files are compared to the previous PAD-US (version 2.1) to evaluate new records and assign identifiers to join (ExistJoinID) source data updates (input files) with the previous version of PAD-US (2.1). File records are compared via automated scripts tracking attributes and polygon location followed by manual review to ensure existing and locally reviewed data flagged for attribute transfer (ConsMeasTrn) match updates correctly and new records are identified. Once a reliable JoinID is confirmed post review, the Transfer Non Default Conservation Measures Python script transfers value added data managed by USGS (not available in source data) including locally assigned conservation ('GAP Status Code', 'IUCN Category') or recreation access measures ('Public Access'), the World Database on Protected Areas (WDPA) Site ID (a unique identifier assigned by UNEP-WCMC and managed by USGS), and 'Date of Establishment'. See Process Step 5, Reconciliation attached in this data release.</procdesc>
                <procdate>20210515</procdate>
            </procstep>
            <procstep>
                <procdesc>Categorical Assignments by Designation Type: The areas in PAD-US are assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant 'GAP Status Code' (that also identifies multiple use areas) and the global 'IUCN Category' standard. In addition, a general measure of recreation access ('Public Access') is also assigned. After locally reviewed measures were transferred from PAD-US 2.1 (as described in Process Step 5, Reconciliation) input files are checked for completeness of required attributes and that all domains and standardized field attributes are completely assigned. In the absence of other information (e.g. local assignment or review), 'GAP Status Code', 'IUCN Category', and 'Public Access' are assigned categorically based on 'Designation Type' using a Python script (See Process Step 6 Categorical Assignments by Designation Type attached in this data release) that references crosswalk tables (e.g. Tables 6 and 9) available in the PAD-US Data Manual ( https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual ).</procdesc>
                <procdate>20210702</procdate>
            </procstep>
            <procstep>
                <procdesc>Multiple Feature Class Implementation: The major feature of PAD-US 2.0 involved the expansion of the multiple feature class database structure; primarily, the removal of overlapping management designations from fee owned lands.  The expanded structure, defined by the addition of the "Designation" feature class was replicated in PAD-US 2.1 and 3.0. Building on Federal Lands Working Group ( https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/ ) efforts to collaboratively develop PAD-US, it was fairly straightforward to determine feature class placement of Federal spatial data. Federal data-stewards defined the 'Category' (the data type field in PAD-US) associated with source data submitted for PAD-US as fee parcels, easement interest, leases, agreements, overlapping management designations, proclamation, or marine boundaries. An automated Python script process compared State and other overlaps to Federal fee data to determine feature class placement (See Process Step 7, Multiple Feature Class attached in this data release).</procdesc>
                <procdate>20210712</procdate>
            </procstep>
            <procstep>
                <procdesc>Database Aggregation and Load Order: Input files referenced in the “Source Data Collection and Translation" processing step above are aggregated into the PAD-US geodatabase in a purposeful load order to achieve the necessary visual and analytical results associated with current database technology (See Process Step 8, Load Order attached in this data release). Load order strives to account for boundary size, type, and spatial data quality, to increase the likelihood overlapping features are visible on maps and to support assessments of biodiversity protection status or outdoor recreation access. Files in the PAD-US geodatabase feature class loaded first, remain on the bottom in cases of overlap. Feature classes are manually loaded separately (agencies referenced below are listed in geodatabase load order within their respective feature classes - bottom to top) before the PAD-US 3.0 'Combined' feature classes are created.  For example, the full 'PADUS3_0Combined_Proclamation_Marine_Fee_Designation_Easement' feature class represents this load order (PAD-US feature class and a general description of agency source data listed from the bottom to the top): 1) 'Proclamation' feature class (FWS Approved Acquisition, USFS Proclamation Boundaries, NPS Proclamation Boundaries, DOD Military Lands, Census American Indian Areas [AIA] ); 2) 'Marine' feature class (BOEM Blocks, NOAA Marine Protected Areas Inventory); 3) Federal fee lands (Department Of Energy (DOE), Tennessee Valley Authority (TVA), Agricultural Research Service (ARS) legacy data transferred from the previous PAD-US, BLM public lands from Surface Management Area database, USBR legacy data transferred from the previous PAD-US, USACE lands transferred from the previous PAD-US, USFS fee parcel data, NPS fee parcel data, FWS fee parcel data); 4) State and local government fee lands, in alphabetical order by State; 5) Federal designations (USBR designations, BLM ACEC (transferred from the previous PAD-US), BLM Monuments/National Conservation Areas/Similar, USACE reservoirs (transferred from the previous PAD-US), USFS Inventory Roadless Areas, BLM Wilderness Study Areas, NPS Other Categories of Wilderness, NPS designations, USFS Withdrawals, USFS designations, USFS Special Interest Management areas, BLM Wilderness, USFS Wilderness, USFS Wild and Scenic Rivers, NPS Legislated Wilderness (from Wilderness.net), FWS Special Designations, BLM Wild and Scenic Rivers); 6) State and Local designations, in alphabetical order by State (mostly transferred from the previous PAD-US); 7) Easements (often small) are loaded last to remain visible on top of overlapping records. The PAD-US 3.0 update includes federal easements provided directly by managing agencies only - all other easements transferred from PAD-US 2.1 are from a subset of the National Conservation Easement Database for PAD-US (non-sensitive easements suitable for distribution in the public domain published February 2018).</procdesc>
                <procdate>20210810</procdate>
            </procstep>
            <procstep>
                <procdesc>PAD-US 3.0 Review: Once all attributes are assigned and feature classes are aggregated, the PAD-US development team conducts a final review by summarizing the database (See Process Step 9, Review Summary Tables attached in this data release) and reviewing tables associated with each feature class. In addition, 'GIS Acres' are compared to known sources and spatial data are compared to previous PAD-US versions. 

Federal Lands Working Group data-stewards reviewed the translation of authoritative spatial data (federal lands and waters) into the PAD-US format and USFS, NPS, and FWS provide data in the PAD-US format. In addition, Quality Control / Quality Assurance (QA/QC) reports documenting edits to source data to meet PAD-US requirements are shared with data-stewards to continually improve update efficiency and accuracy.
</procdesc>
                <procdate>20210818</procdate>
            </procstep>
            <procstep>
                <procdesc>Data quality assessment and appropriate use of federal spatial data:
The PAD-US Team and FLWG recommends users review “The State of PAD-US Data” (  https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/02/StateofPADUS_Feb2021.pdf , periodic updates available on FLWG website) to better understand the appropriate scale to use data, estimated level of spatial data inventory completeness, and update frequency of agency source data aggregated in PAD-US. The summary graphic, developed by USGS cooperators in collaboration with the FLWG and SLWG following the publication of PAD-US 2.1, is updated following each PAD-US data release. Overlaps between agency fee ownership datasets (mostly slivers) are available for review in Process Step 10, Fee Topology Assessment attached in this data release and displayed as web services in the PAD-US Viewer ( https://maps.usgs.gov/padus/ ). In addition, “Guidance for Base Map Developers to Use PAD-US” ( https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2019/09/Guidelines-for-Base-Maps-Data-Use_Version17Sept2019.pdf ) and PAD-US Steward Reports ( http://www.protectedlands.net/data-stewards/ ) highlight PAD-US as the authoritative source for aggregated data only (that is, more than one agency) and document data-steward contacts and data download locations to obtain source data directly. Agencies are always the best and authoritative source of their land data and many update spatial datasets more frequently than PAD-US.</procdesc>
                <procdate>20210820</procdate>
            </procstep>
        </lineage>
    </dataqual>
    <spdoinfo>
        <direct>Vector</direct>
        <ptvctinf>
            <sdtsterm>
                <sdtstype>G-polygon</sdtstype>
                <ptvctcnt>642931</ptvctcnt>
            </sdtsterm>
        </ptvctinf>
    </spdoinfo>
    <spref>
        <horizsys>
            <planar>
                <mapproj>
                    <mapprojn>Albers Conical Equal Area</mapprojn>
                    <albers>
                        <stdparll>29.500000</stdparll>
                        <stdparll>45.500000</stdparll>
                        <longcm>-96.000000</longcm>
                        <latprjo>23.000000</latprjo>
                        <feast>0.000000</feast>
                        <fnorth>0.000000</fnorth>
                    </albers>
                </mapproj>
                <planci>
                    <plance>coordinate pair</plance>
                    <coordrep>
                        <absres>0.000100</absres>
                        <ordres>0.000100</ordres>
                    </coordrep>
                    <plandu>meters</plandu>
                </planci>
            </planar>
            <geodetic>
                <horizdn>North American Datum of 1983</horizdn>
                <ellips>Geodetic Reference System 80</ellips>
                <semiaxis>6378137.000000</semiaxis>
                <denflat>298.257222</denflat>
            </geodetic>
        </horizsys>
    </spref>
    <eainfo>
        <detailed>
            <enttyp>
                <enttypl>PADUS3_0Combined_Proclamation_Marine_Fee_Designation_Easement</enttypl>
                <enttypd>The 'Combined' feature class integrates other feature classes from the PAD-US 3.0 geodatabase, as described in the name (and in database load order with Proclamation boundaries under all other features and Easements on top) including core PAD-US attributes only (The Marine and Easement feature classes include additional attributes specific to those data types).</enttypd>
                <enttypds>PAD-US Development Team</enttypds>
            </enttyp>
            <attr>
                <attrlabl>OBJECTID</attrlabl>
                <attrdef>Internal feature number.</attrdef>
                <attrdefs>ESRI</attrdefs>
                <attrdomv>
                    <udom>Sequential unique whole numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Shape</attrlabl>
                <attrdef>Feature geometry.</attrdef>
                <attrdefs>ESRI</attrdefs>
                <attrdomv>
                    <udom>Coordinates defining the features.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>FeatClass</attrlabl>
                <attrdef>This field, in the 'Combined' feature class, identifies the original feature class ('Fee', 'Easement', 'Designation', etc.) a protected area unit or record occurred in before combination. This is included to assist users seeking data in the 'Fee' feature class as data gaps exist and 'Category' (which would otherwise define feature class placement) may be 'Other' or 'Unknown'. Use this field to extract select data as needed from the fully Combined inventory (e.g. Fee_Easement) and see the Federal Data Reference lookup table (DBF) for authoritative data provided directly by federal management agencies by Aggregator Source.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>FeatClass</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Category</attrlabl>
                <attrdef>The general 'Category' for the protection mechanism associated with the protected area. 'Fee' simple, is the most common way real estate is owned. A conservation 'easement' creates a legally enforceable land preservation agreement between a landowner and government agency or qualified land protection organization (i.e. land trust). 'Other' types of protection include leases, agreements, or deed restrictions. 'Designation' is applied to management boundaries not represented in title documents (e.g. 'National Monument', 'Wild and Scenic River', and some 'State Wildlife Management Area') overlapping fee ownership parcels. 'Marine' includes outer continental shelf lands managed by the Bureau of Ocean Energy Management and Marine Protected Areas inventoried by the National Oceanic and Atmospheric Administration. 'Proclamation' defines the outer boundaries of areas without internal ownership defined: Tribal Lands (Census AIA), Military Lands (Department of Defense), Proclamation (National Park Service and Forest Service) and Approved Acquisition Boundaries (U.S. Fish and Wildlife Service) for planning purposes. See PAD-US Data Manual, Table 3, or 'Category' geodatabase lookup table for full domain codes and descriptions.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Category</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Own_Type</attrlabl>
                <attrdef>The general land owner description (e.g. 'Federal', 'Territorial', 'American Indian Lands', 'State', 'Regional Agency Special District', 'Local Government', 'Non-Governmental Organization', 'Private', 'Joint') standardized for the U.S. This field is assigned by a crosswalk from 'Owner Name'. See PAD-US Data Manual, Table 6, for the “Agency Name to Agency Type Crosswalk”, PAD-US Data Manual Table 4 or 'Agency Type' geodatabase lookup table for full domain codes and descriptions. 'Regional Agency Special Districts (DIST)' include limited purpose governmental units that exist separately from local governments such as county or municipal (e.g. some Regional Parks, Greenbelts, Water Management Areas). 'Designation' is applied to designations overlapping fee lands as ownership is not applicable. Use the 'Manager Type' field for the best general depiction of Federal lands as several ownership related data gaps (i.e. 'Owner Type' = 'Unknown') occur in the Federal theme.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Own_Type</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Own_Name</attrlabl>
                <attrdef>Land owner or holding agency (e.g. 'Forest Service', 'State Fish and Wildlife', 'City Land', Non-Governmental Organization') standardized for the U.S. See Agency Name domain codes and descriptions in the PAD-US Data Manual (Table 5) or 'Agency Name' geodatabase lookup table. A python script assigns 'Owner Name' from 'Local Owner' (See Process Step 4, Local Agency to Agency Crosswalk attached in this data release). Please note there are instances where 'Owner Name' = 'Designation' rather than an 'Agency Name' as expected. 'Designation' is applied to management designations that overlap fee ownership or where ownership information is not represented in the data type (e.g. ‘Owner Type’ and ‘Owner Name’ are not applicable to Designations such as 'Marine Protected Area', 'National Monument', or data included in the Proclamation and Other Planning Boundaries feature classes), while it remains a core attribute. 'Owner Name' also contains unknown values where parcel level ownership data are not yet available from authoritative data sources. Use the 'Manager Name' field for the best depiction of Federal lands by agency as several fee simple ownership related data gaps (i.e. 'Owner Name' = 'Unknown') occur in the Federal theme. See “The State of PAD-US Data” (  https://communities.geoplatform.gov/ngda-govunits/wp-content/uploads/2021/02/StateofPADUS_Feb2021.pdf ) or PAD-US Steward Reports by federal agency or state ( http://www.protectedlands.net/data-stewards/ ) for more information about inventory completeness. </attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Own_Name</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Loc_Own</attrlabl>
                <attrdef>The name of the land owner as provided by the data source, to complement the standardized 'Owner Name' field (e.g. 'State Fish and Wildlife' is a standard 'Owner Name', while 'Washington Department of Fish and Wildlife' reflects source data in the 'Local Owner' field) as more detail may be provided.  A Python script assigns 'Owner Name' from 'Local Owner' (See Process Step 4, Local Agency to Agency Name Crosswalk attached in this data release). Efforts to complete and standardize 'Local Owner' in cooperation with data-stewards are in progress to enhance database utility.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Loc_Own</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Mang_Type</attrlabl>
                <attrdef>General land manager description (e.g. 'Federal', 'Territorial', 'American Indian Lands', 'State', 'Regional Agency Special District', 'Local Government', 'Non-Governmental Organization', 'Private', 'Joint') standardized for the U.S. This field is assigned by a crosswalk from 'Manager Name'. See PAD-US Data Manual, Table 6, for “Agency Name to Agency Type Crosswalk” or 'Agency Type' geodatabase lookup table for full domain descriptions.  Use the 'Manager Type' field for the most complete general depiction of Federal lands as ownership related data gaps (i.e. 'Owner Type' = 'Unknown') occur in the Federal theme.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual</attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Mang_Type</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Mang_Name</attrlabl>
                <attrdef>Land manager or administrative agency (e.g. 'Forest Service', 'State Fish and Wildlife', 'City Land', Non-Governmental Organization') standardized for the U.S. See Agency Name domain codes and descriptions in the PAD-US Data Manual (Table 5) or 'Agency Name' geodatabase lookup table. A python script assigns 'Manager Name' from 'Local Manager' (See Process Step 4, Local Agency to Agency Crosswalk attached in this data release). Use 'Manager Name' for the best depiction of Federal lands by agency as the 'Owner Name' field includes data gaps (i.e. 'Owner Name' = 'Unknown'), where parcel level ownership data are not yet available from authoritative data sources.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Mang_Name</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Loc_Mang</attrlabl>
                <attrdef>The name of the land manager as provided by the data source, to complement the standardized 'Manager Name' field (e.g. 'City Land' is a standard 'Manager Name' while 'Agoura Hills, City of' is an example of a 'Local Manager').</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Loc_Manag</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Des_Tp</attrlabl>
                <attrdef>The unit's land management description or 'Designation Type', standardized for the U.S. (e.g. 'Area of Critical Environmental Concern', 'Wilderness Area', 'State Park', 'Local Recreation Area', 'Conservation Easement'). See the PAD-US Data Manual, Table 9, for a crosswalk of 'Designation Type' from source data where 'Local Designation Type' may include related designations in various formats (e.g. NWSR, National Recreation River, National Scenic River, Eligible - Recreational, Eligible - Wild, etc.) or the 'Designation_Type' geodatabase lookup table and PAD-US Data Manual Table 8 for domain codes and descriptions. 'Designation Type' supports PAD-US queries and the categorical assignment of conservation measures (i.e. 'GAP Status Code', 'IUCN Category') and 'Public Access' in the absence of other information (See the PAD-US Standards Manual 'GAP Status Code Assignment' reference document).</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Des_Tp</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Loc_Ds</attrlabl>
                <attrdef>The unit's land management description or designation as provided by the data source.  'Local Designation Type' is not standardized and complements the standardized PAD-US 'Designation Type' field as more detail may be available. Null values indicate designation related information was not available in source files and categorical assignments to 'Designation Type' apply. See the PAD-US Data Manual, Table 9, for a crosswalk of 'Designation Type' (e.g. 'State Conservation Area') from source data where 'Local Designation Type' may include various, related designations referenced in source data (e.g. State Natural Area, State Ecological Reserve, State Nature Preserve, State Critical Habitat Area, State Wildlife Management Area, etc.).</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual</attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Loc_Ds</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Unit_Nm</attrlabl>
                <attrdef>The name of the overall protected area following the PAD-US Standard (i.e. full name including the designation type in Proper Case without acronyms, unit identifiers, special characters, space or return errors), complementing 'Local Name'. As null values are not permitted in this standardized field, categorical assignments are sometimes made from the 'Manager Name' field and an auto-incremented number for each protected area when data gaps occur in source files. This field is in a state of transition as data-stewards move toward common standards.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Unit_Nm</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Loc_Nm</attrlabl>
                <attrdef>The name of the protected area as provided by the data source; the 'Local Name' field is not standardized. This field may or may not include designations, different formats, spelling errors, unit or area identifiers unique to parcels; however, it links directly to source data files and may provide additional information not available in the 'Unit Name' field.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Loc_Nm</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>State_Nm</attrlabl>
                <attrdef>Location name of State or territory by United States Postal Service abbreviation. U.S. Census Bureau States and Equivalent data serve as the common standard to apply 'State Name' and to integrate State jurisdictional boundaries into the PAD-US. See domain codes and descriptions (e.g. Table 16) in PAD-US Data Manual or the 'State_Name' geodatabase lookup table for details.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>State_Nm</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Agg_Src</attrlabl>
                <attrdef>'Aggregator Source' describes the Aggregator (Organization) credited with data aggregation, version of PAD-US when the update (or data-steward review; if data did not change) occurred, feature class name (except when source data are mixed or split into multiple feature classes) the data reside in, reference to the original source data file, and a reference to describe the State location to manage boundary inconsistencies between agency datasets (from State data-steward submissions only). 'Aggregator Source' is attributed in the format 'Aggregator name_PADUSversion_featureclass_filename_filetype' (e.g. TNC_PADUS1_4_SecuredAreas2008.shp). State aggregations also include a reference to the State in the format 'organization name_PADUSversion_filename_filetype_StateUSPS'.  Aggregators may not always be able to define the geodatabase feature class as data may be mixed (e.g. MNDNR_PADUS2_0_MN2015_PADUS_MN_1.gdb_MN, NJOGIS_PADUS2_0Fee_OSPRI_August2017_NJ). Organization acronyms are used and underscore replaces spaces and periods. A data aggregator submits data in the PAD-US format or is a nonprofit managing large regional or national datasets with required fields for PAD-US translation. USGS is identified as an aggregator when data translation is required (e.g. USGS_PADUS2_0Fee_BLM_SMA_ADMU_Union). More information about Protected Areas Database of the United States (PAD-US) data-stewards and source data files are available at http://www.protectedlands.net/data-stewards/ .</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Agg_Src</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>GIS_Src</attrlabl>
                <attrdef>The source of spatial data the aggregator obtained (e.g. WYGF_whmas08.shp) for each record. File names match original source data provided by managing agencies to increase update efficiency and data transparency. This field is in a state of transition to fully meet standards as the original 'GIS Source' is not always provided in aggregated datasets.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>GIS_Src</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Src_Date</attrlabl>
                <attrdef>This represents the date (yyyy/mm/dd) GIS data was published or accessed (in the case of infrequently updated files) by the data aggregator. If month or day is unknown, the date is yyyy/00/00. The date an aggregated dataset was delivered to USGS may also be assigned to address data gaps when the original 'GIS Source Date' is not available.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Src_Date</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>GIS_Acres</attrlabl>
                <attrdef>Acres calculated for each polygon converted from the Shape_Area field using field calculator "!shape.area@acres!" rounded to the nearest whole number.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>GIS_Acres</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>GAP_Sts</attrlabl>
                <attrdef>The 'GAP Status Code' is a measure of management intent to conserve biodiversity defined as: 


'GAP Status Code 1': An area having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a natural state within which disturbance events (of natural type, frequency, intensity, and legacy) are permitted to proceed without interference or are mimicked through management. 


'GAP Status Code 2': An area having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a primarily natural state, but which may receive uses or management practices that degrade the quality of existing natural communities, including suppression of natural disturbance. 


'GAP Status Code 3': An area having permanent protection from conversion of natural land cover for most of the area, but subject to extractive uses of either a broad, low-intensity type (e.g., logging, Off Highway Vehicle recreation) or localized intense type (e.g., mining).  It also confers protection to Federally listed endangered and threatened species throughout the area. 


'GAP Status Code 4': There are no known public or private institutional mandates or legally recognized easements or deed restrictions held by the managing entity to prevent conversion of natural habitat types to anthropogenic habitat types. The area generally allows conversion to unnatural land cover throughout or management intent is unknown. 

See the PAD-US Standards Manual GAP Status Code Assignment reference document for a summary of assumptions, criteria, and methods or the geodatabase 'GAP_Status' lookup table for short descriptions.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>GAP_Sts</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>GAPCdSrc</attrlabl>
                <attrdef>An acronym to describe the GAP Code Source or organization(s) that applied 'GAP Status Code' to a unit boundary.  This field also describes the methods used for assigning GAP Status as follows: 


'GAP - Default' is assigned when GAP's categorical assignment of status has been applied, without more detailed review or inquiry. 


'GAP' is assigned when standard methods (includes management plan review or land manager interview to assign GAP Status to a protected area) apply. 


'GAP - Other Organization' (e.g. 'GAP - NPS') applies when the measure is assigned in partnership with GAP, including review. 


'Other Organization' is assigned when another organization applied GAP Status according to their methods (e.g. The Nature Conservancy).


See GAP Status Code Assignment reference document for more information: https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual .</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>GAPCdSrc</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>GAPCdDt</attrlabl>
                <attrdef>The most current Year (yyyy) the 'GAP Status Code' was assigned to the polygon.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>GAPCdDt</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>IUCN_Cat</attrlabl>
                <attrdef>International Union for the Conservation of Nature (IUCN) management categories assigned to protected areas for inclusion in the United Nations Environment World Conservation Monitoring Center (UNEP-WCMC) World Database for Protected Areas (WDPA), the North America Intergovernmental Committee on Cooperation for Wilderness and Protected Areas Conservation (NAWPA) Protected Area Database, and the Commission for Environmental Cooperation (CEC) North American Terrestrial Protected Areas Database. IUCN defines a protected area as, "A clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values" (includes GAP Status Code 1 and 2 only). Management categories are not hierarchical and follows as: 


'IUCN Category Ia': Strict Nature Reserves are strictly protected areas set aside to protect biodiversity and possibly geological or geomorphological features, where human visitation, use and impacts are strictly controlled and limited to ensure preservation of the conservation values.  Such protected areas can serve as indispensable reference areas for scientific research and monitoring.  


'IUCN Category Ib': Wilderness Areas protected areas are usually large unmodified or slightly modified areas, retaining their natural character and influence, without permanent or significant human habitation, which are protected and managed to preserve their natural condition.  


'IUCN Category II': National Park protected areas are large natural or near natural areas set aside to protect large-scale ecological processes, along with the complement of species and ecosystems characteristic of the area, which also provide a foundation for environmentally and culturally compatible spiritual, scientific, educational, recreational and visitor opportunities.  


'IUCN Category III': Natural Monument or Feature protected areas are set aside to protect a specific natural monument, which can be a landform, sea mount, submarine caverns, geological features such as caves, or even a living feature such as an ancient grove. They are generally quite small protected areas and often have high visitor value.  


'IUCN Category IV': Habitat and (or) species management protected areas aim to protect particular species or habitats and management reflects this priority. Many Category IV protected areas will need regular, active interventions to address the requirements of particular species or to maintain habitats, but this is not a requirement of this category.  


'IUCN Category V': Protected landscape and (or) seascape protected areas occur where the interaction of people and nature over time has produced an area of distinct character with significant ecological, biological, cultural, and scenic value.  


'IUCN Category VI': Protected area with sustainable use (community based, non-industrial) of natural resources are generally large, with much of the area in a more-or-less natural condition and whereas a proportion is under sustainable natural resource management and where such exploitation is seen as one of the main aims of the area.  


'Other Conservation Areas' are not recognized by IUCN at this time; however, they will be evaluated to determine if they meet the definition of Other Effective Area Based Conservation Measures (OECMs) for inclusion in the WDPA following recently released guidance. These areas (GAP Status Code 3 areas only) are attributed in the 'IUCN Category' Domain along with 'Unassigned' areas (GAP Status Code 4). In addition, a few areas are included as 'Not Reported', these areas meet the definition of IUCN protection (i.e. GAP Status Code 1 or 2) but 'IUCN Category' has not yet been assigned and categorical assignment is not appropriate. See the PAD-US Data Manual, Table 12, for a crosswalk from Designation Type, GAP Status Code, and size to IUCN Category.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>IUCN_Cat</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>IUCNCtSrc</attrlabl>
                <attrdef>An acronym to describe the organization(s) that applied 'IUCN Category' to the polygon. This field also describes the methods used for assigning 'IUCN Category' as follows: 


'GAP - Default' is assigned when GAP's categorical assignment of status has been applied, without additional review.  


'GAP - Other Organization' (e.g. 'GAP - NPS') applies when the measure is assigned in partnership with GAP, including review.  


'Other Organization' applies when the IUCN Category is assigned by another organization according to their methods (e.g. NOAA).  See the PAD-US Standards Manual for more information.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>IUCNCtSrc</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>IUCNCtDt</attrlabl>
                <attrdef>The most current Year (yyyy) the 'IUCN Category' was assigned to the polygon.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>IUCNCtDt</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Pub_Access</attrlabl>
                <attrdef>Level of 'Public Access' permitted, described as:


'Open' requires no special requirements for public access to the property (may include regular hours of availability); 


'Restricted' requires a special permit from the owner for access, a registration permit on public land (e.g. self-permitting Wild and Scenic River, backcountry Wilderness registration) or has highly variable times when open to use (e.g. seasonal Wildlife Refuge closure); 


'Closed' occurs where no public access is allowed (e.g. land bank property, special ecological study areas, military bases, many easements, etc.).


'Unknown' is assigned where information is not currently available.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Pub_Access</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Access_Src</attrlabl>
                <attrdef>An acronym to describe the organization(s) that applied 'Public Access' to the polygon. This field also describes the methods used for assigning 'Public Access' as follows: 


'GAP - Default' is assigned when GAP's categorical assignment of status has been applied, without additional review.  


'GAP - Other Organization' (e.g. 'GAP - NPS') applies when the measure is assigned in partnership with GAP, including review.  


'Other Organization' applies when Public Access is assigned by another organization according to their methods (e.g. NOAA).  See the PAD-US Standards Manual for more information.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Access_Dt</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Access_Dt</attrlabl>
                <attrdef>The most current Year (yyyy) the 'Public Access' classification was assigned to the polygon. See the PAD-US Standards Manual for more information.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Access_Dt</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Date_Est</attrlabl>
                <attrdef>The Year (yyyy) the protected area was designated, decreed or otherwise established. The date is assigned to each unit by name and the current designation type represented in the PAD-US, without event status tracking (e.g. Yellowstone National Park: 1872, Frank Church-River of No Return Wilderness Area: 1980). This field is not fully attributed and data gaps are difficult to address.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Date_Est</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Source_PAID</attrlabl>
                <attrdef>The 'Source Protected Area Identifier' (Source PAID) includes the persistent identifier (e.g. numbers, letters, or combinations of each) associated with each protected area, when available in source data. The intention is to maintain a reliable connection to join authoritative source data to previous PAD-US versions (to transfer attributes not available in source data) and support links to other data. This field is not fully attributed and significant work remains to ensure persistent identifiers are provided by data-stewards. Several Federal data-stewards provide 'Source PAID' for PAD-US and the FLWG plans to continue work to ensure this field is operational for the Federal estate in the PAD-US format.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Source_PAID</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>WDPA_Cd</attrlabl>
                <attrdef>The 'World Database for Protected Areas (WDPA) Site Code' is assigned by the UNEP- World Conservation Monitoring Centre (UNEP-WCMC) to all areas submitted to the WDPA. USGS maintains these codes, assigned to overall protected areas by 'Unit Name' (includes 'Designation Type'), between PAD-US updates. Areas identified as 'GAP Status Code' 1 or 2 meet the definition of protection by the International Union for the Conservation of Nature (IUCN) as primarily managed for biodiversity protection and are submitted to WCMC for the WDPA. Other areas will not have a 'WDPA Code'. A derivative PAD-US product, with all 'WDPA Codes', is sent to WCMC for the WDPA following each PAD-US update. This field is incomplete in PAD-US 3.0 and has not been reviewed by the PAD-US Team, pending additional code assignments for new protected areas by WCMC following PAD-US 3.0 publication and development of the WDPA 3.0 Submission. The PAD-US WDPA 2.1 Submission is available for download ( https://doi.org/10.5066/P9IVLRSS ) and display via Protected Planet (https://www.protectedplanet.net/country/USA). It is important to note statistics published by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas (MPA) Center and the USGS differ from statistics published by the UNEP-WCMC as methods to remove overlapping designations differ slightly and U.S. Territories are reported separately by the UNEP-WCMC. </attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>WDPA_Cd</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>EHoldTyp</attrlabl>
                <attrdef>'Easement Holder Type' is the general description (e.g., 'Federal', 'Tribal', 'State', 'Private') of the easement holder, following the PAD-US 'Agency Type' domain codes and descriptions. This is a core attribute in the National Conservation Easement Database (NCED) that was transferred to the PAD-US Easement feature class.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>EHoldTyp</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>EsmtHldr</attrlabl>
                <attrdef>'Easement Holder' is the name of the organization managing or holding the easement standardized by NCED to Proper Case with all acronyms spelled out (e.g., The Nature Conservancy [TNC]). This is a core attribute in the National Conservation Easement Database (NCED) provided by the easement holder or data provider that was transferred to the PAD-US Easement feature class.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>EsmtHldr</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Comments</attrlabl>
                <attrdef>Comments from either the original data source, aggregator, or the PAD-US Team.</attrdef>
                <attrdefs>See Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual </attrdefs>
                <attrdomv>
                    <codesetd>
                        <codesetn>Comments</codesetn>
                        <codesets>U.S. Geological Survey</codesets>
                    </codesetd>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Shape_Length</attrlabl>
                <attrdef>Length of feature in internal units.</attrdef>
                <attrdefs>ESRI</attrdefs>
                <attrdomv>
                    <udom>Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl>Shape_Area</attrlabl>
                <attrdef>Area of feature in internal units squared.</attrdef>
                <attrdefs>ESRI</attrdefs>
                <attrdomv>
                    <udom>Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
        </detailed>
    </eainfo>
    <distinfo>
        <distrib>
            <cntinfo>
                <cntorgp>
                    <cntorg>U.S. Geological Survey - ScienceBase</cntorg>
                </cntorgp>
                <cntaddr>
                    <addrtype>mailing and physical address</addrtype>
                    <address>Building 810, Mail Stop 302</address>
                    <city>Denver</city>
                    <state>Colorado</state>
                    <postal>80225</postal>
                    <country>USA</country>
                </cntaddr>
                <cntvoice>1-888-275-8747</cntvoice>
                <cntemail>sciencebase@usgs.gov</cntemail>
            </cntinfo>
        </distrib>
        <resdesc>Download or view data from https://www.usgs.gov/gapanalysis/PAD-US/ or https://doi.org/10.5066/P9Q9LQ4B . The PAD-US version 3.0 data was developed using an Esri ArcGIS version 10.6 File Geodatabase format to utilize the expanded capabilities of the File Geodatabase for overall size, attribute name length, attribute aliases, coded domain values and topology analysis tools (See PAD_US3_0_GDB.zip attached in this data release). Users may download a shapefile (.shp), Keyhole Markup Language (.kmz), and ArcGIS version 10.x file geodatabase (.gdb) formats at https://www.usgs.gov/gapanalysis/PAD-US-data-download . Various Web Mapping Services ( https://www.usgs.gov/gapanalysis/PAD-US-web-services ) and poster maps ( https://www.usgs.gov/gapanalysis/PAD-US-resources ) are also available.</resdesc>
        <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.


This database, identified as PAD-US version 3.0, has been approved for release by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review.</distliab>
        <stdorder>
            <digform>
                <digtinfo>
                    <formname>The File downloads in a .zip format</formname>
                </digtinfo>
                <digtopt>
                    <onlinopt>
                        <computer>
                            <networka>
                                <networkr>withheld</networkr>
                            </networka>
                        </computer>
                    </onlinopt>
                </digtopt>
            </digform>
            <fees>None. No fees are applicable for obtaining this data-set.</fees>
        </stdorder>
    </distinfo>
    <metainfo>
        <metd>20220301</metd>
        <metc>
            <cntinfo>
                <cntorgp>
                    <cntorg>USGS Science Analytics and Synthesis (SAS)</cntorg>
                    <cntper>PAD-US Team</cntper>
                </cntorgp>
                <cntpos>PAD-US Dataset Manager</cntpos>
                <cntaddr>
                    <addrtype>mailing address</addrtype>
                    <address>PO Box 25046, MS 302</address>
                    <city>Denver</city>
                    <state>Colorado</state>
                    <postal>80225</postal>
                    <country>USA</country>
                </cntaddr>
                <cntvoice>1-888-275-8747</cntvoice>
                <cntemail>pad-us@usgs.gov</cntemail>
            </cntinfo>
        </metc>
        <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
        <metstdv>FGDC-STD-001-1998</metstdv>
        <mettc>local time</mettc>
    </metainfo>
    <Esri>
        <CreaDate>20240201</CreaDate>
        <CreaTime>13253000</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <DataProperties>
            <itemProps/>
        </DataProperties>
        <scaleRange>
            <minScale>150000000</minScale>
            <maxScale>5000</maxScale>
        </scaleRange>
        <ArcGISProfile>ItemDescription</ArcGISProfile>
    </Esri>
    <dataIdInfo>
        <idPurp>National Public Lands Easement</idPurp>
        <idCredit>USGS</idCredit>
        <idCitation>
            <resTitle>National Public Lands Easement</resTitle>
        </idCitation>
        <searchKeys>
            
            
            
        <keyword>National</keyword><keyword>Public Land</keyword><keyword>Easement</keyword><keyword>WAB_Sweet_Trails_Preliminary_Draft_Network</keyword></searchKeys>
        <idAbs/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    <mdDateSt Sync="TRUE">20231004</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>