This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. Please reference the metadata for contact information.

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper (https://www.fws.gov/wetlands/) in the United States in fiscal year 2020.The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper (https://www.fws.gov/wetlands/data/Mapper.html). The Wetlands Mapper delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool.From 2015-2024, over 2.3 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning.For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).

Indiana Wetlands from the USFWS NWI as of October 6, 2022 at https://www.fws.gov/node/264847

Under the 2023 Supreme Court decision for Sackett vs USEPA, wetlands are jurisdictional to Waters of the United States (WOTUS) if 1) a continuous surface connection is present with an existing WOTUS, and 2) the wetland is practically indistinguishable from an ocean, river, stream, or lake where the continuous surface water connection is identified. A national-scale assessment for the United States was conducted to identify potential geographically isolated wetlands. The National Wetland Inventory (NWI, https://www.fws.gov/program/national-wetlands-inventory) maintained by the US Fish and Wildlife Service and the National Hydrograpy Dataset (NHD, https://www.usgs.gov/national-hydrography/national-hydrography-dataset) maintained by the US Geological Survey were used for the assessment. A custom workflow (https://github.com/tbep-tech/wetlands-eval) was developed to iteratively download the NWI and NHD spatial layers for each state to identify isolated wetlands based on the Euclidean distance of each wetland centroid to NHD features. These data files represent all NWI wetlands in the United States and the distance (meters) to the closest NHD feature. The rows in each file represent individual wetlands, with columns for the wetland attribute, acreage of the wetland, latitude and longitude (WGS 1984) of the wetland centroid, distance of the wetland in meters to the nearest NHD feature, the state abbreviation, and wetland type.

Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsCoordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, American Samoa, and the Northern Mariana IslandsVisible Scale: This layer preforms well between scales of 1:1,000,000 to 1:1,000. An imagery layer created from this dataset is also available which you can also use to quickly draw wetlands at smaller scales.Number of Features: 35,475,987Source: U.S. Fish and Wildlife ServicePublication Date: October 7, 2022This layer was created from the October 7, 2022 version of the NWI. The features were converted from multi-part to a single part using the Multipart To Singlepart tool. Features with more than 50,000 vertices were split with the Dice tool. The Repair Geometry tool was run on the features, using tool defaults.The layer is published with a related table that contains text fields created by Esri for use in the layer's pop-up. Fields in the table are:Popup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for System Name = 'Palustrine' to create a map of palustrine wetlands only.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d mapUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

[Metadata] Wetlands in the State of Hawaii. Source: USFWS, November 2024. (https://www.fws.gov/program/national-wetlands-inventory/data-download). This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the State of Hawaii. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class (downloadable from the USFWS website via the link shown above). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer (see link above), which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/wetlands.pdf or complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/wetlands.html or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsGeographic Extent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, American Samoa, and the Northern Mariana IslandsProjection: Web Mercator Auxiliary SphereVisible Scale: This layer preforms well between scales of 1:1,000,000 to 1:1,000. An imagery layer created from this dataset is also available which you can also use to quickly draw wetlands at smaller scales.Source: U.S. Fish and Wildlife ServiceUpdate Frequency: AnnualPublication Date: October 26, 2024This layer was created from the October 26, 2024 version of the NWI. The features were converted from multi-part to a single part using the Multipart To Singlepart tool. Features with more than 50,000 vertices were split with the Dice tool. The Repair Geometry tool was run on the features, using the OGC option.The layer is published with a related table that contains text fields created by Esri for use in the layer's pop-up. Fields in the table are:Popup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for System Name = 'Palustrine' to create a map of palustrine wetlands only.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d mapUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

This dataset represents the extent and approximate location of coastal wetlands in the northeastern United States. The data presented were exclusively derived from the National Wetlands Inventory (NWI). The classification system used by the NWI was assessed by wetland specialists and classes were selected to specifically represent coastal wetlands. Coastal wetlands were defined as vegetated wetlands in saline or brackish waters that were not permanently flooded, or not in open water. The NWI classes that applied to this definition included estuarine intertidal emergent, estuarine intertidal scrub-shrub, estuarine intertidal forested, and estuarine intertidal unconsolidated shore with organic soil types that were irregularly flooded.View Dataset on the Gateway

This dataset shows the extent of maps printed from the USFWS Wetlands Mapper (https://www.fws.gov/wetlands/) in the conterminous United States in fiscal years 2016-2019.The U.S. Fish and Wildlife Service’s National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics and distribution of America’s wetlands. One of the ways the wetlands data is provided to the public is via an interactive wetlands mapper (https://www.fws.gov/wetlands/data/Mapper.html). The Wetlands Mapper delivers an easy-to-use map-like view of America’s wetland resources. It spatially integrates NWI data with additional natural resource information and political boundaries to produce a robust decision support tool.From 2015-2020, over 1 million maps have been printed from the NWI Wetlands Mapper. The geographic extent of these maps illuminate certain patterns of how NWI data are used by the public. Being aware of how the public uses NWI data will allow the program respond to user needs, learn where updates might be most appreciated, and help guide future project planning.For questions or comments on this information, please contact Jeff Ingebritsen (jeffrey_ingebritsen@fws.gov).

Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsGeographic Extent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, American Samoa, and the Northern Mariana IslandsProjection: Web Mercator Auxiliary SphereVisible Scale: This layer preforms well between scales of 1:1,000,000 to 1:1,000. An imagery layer created from this dataset is also available which you can also use to quickly draw wetlands at smaller scales.Source: U.S. Fish and Wildlife ServiceUpdate Frequency: AnnualPublication Date: October 26, 2024This layer was created from the October 26, 2024 version of the NWI. The features were converted from multi-part to a single part using the Multipart To Singlepart tool. Features with more than 50,000 vertices were split with the Dice tool. The Repair Geometry tool was run on the features, using the OGC option.The layer is published with a related table that contains text fields created by Esri for use in the layer's pop-up. Fields in the table are:Popup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for System Name = 'Palustrine' to create a map of palustrine wetlands only.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d mapUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes the 'best available' lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Brownsville TX Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The counties within this boundary are: Cameron, Willacy, and Kenedy. For Cameron and Willacy counties the DEM is derived from LiDAR data sets collected for the Texas Water Development Board (TWDB) in 2005 and 2006 with a point density of 1.4 m GSD. The LiDAR data for Kenedy County is based on the US Geological Survey (USGS) National Elevation Dataset (NED) 1/9 arc-second elevation data. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the data sets. Hydrography for Kenedy County is based on the National Hydrography Dataset (NHD) and the National Wetlands Inventory (NWI). The DEM is hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.

The Montana Wetland and Riparian Framework represents the extent, type, and approximate location of wetlands, riparian areas, and deepwater habitats in Montana. These data delineate the areal extent of wetlands and deepwater habitats as defined by Cowardin et al. (2013) and riparian areas as defined by the U.S. Fish and Wildlife Service (2019). These data represent wetland and riparian mapping managed by the University of Montana's Ecological Mapping, Monitoring and Analysis (EMMA) Group. Wetland and riparian areas were manually digitized at a scale of 1:4,500 or 1:5,000 from orthorectified digital color-infrared aerial imagery collected during the summers of 2005, 2009, 2011, 2013, 2015, 2017, 2019, and 2021 by the National Agricultural Imagery Program (NAIP). These data are intended for use in publications at a scale of 1:12,000 or smaller. These data do not cover the entire state of Montana. For areas within Montana that do not have updated mapping or modern mapping, please download the NWI Legacy (outdated mapping) data from https://www.fws.gov/program/national-wetlands-inventory/wetlands-data. For more information regarding the different datasets, please refer to the following document https://mtnhp.org/nwi/Wetland_Riparian_Mapping_Status_Info.pdf.

Explore your Community’s Potential for Green Infrastructure. View the remaining intact habitat near you, and other measures of natural and man-made assets that connect us.The habitat cores shown were derived using a model built by the Green Infrastructure Center Inc. and adapted by Esri.This app includes an easily accessible layer of intact core habitat areas across the continental United States, appropriate in scale to support Green Infrastructure Planning at local, regional and national scales, using the best available national data. The results are intended to be supplemented or replaced with more current or higher resolution data when available, while still supporting Green Infrastructure planning initiatives at the regional level.Using a methodology outlined by the Green Infrastructure Center, Inc. Esri staff created a national intact habitat cores database for the lower 48 United States.The methodology identified, using nationally available datasets, intact or minimally disturbed areas at least 100 acres in size and with a minimum width of 200 meters.The identification of intact areas relied upon the 2011 National Land Cover Database. Potential cores areas were selected from land cover categories not containing the word “developed” or those categories associated with agriculture uses (crop, hay and pasture lands). The resulting areas were tested for size and width requirements, and then converted into unique polygons.These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to use in computing a “core quality index”.These layers included:Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution."Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS.*we scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.National Elevation Dataset, USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resouce Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011http://www.mrlc.gov/nlcd2011.php (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2 –https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, ESRI 3/2016. Produced by the EPA with support from the USGS.gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016, 30 m resolutionGAP Level 3 Ecological System Boundaries (downloaded 4/ 2016)http://gapanalysis.usgs.gov/gaplandcover/data/download/NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: https://coast.noaa.gov/ccapftp/#/ Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of dataNHD USGS National Hydrography Dataset http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregionshttp://maps.tnc.org/gis_data.html#TNClands (downloaded 3/2016)2015 LCC Network Areashttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Evaluation:The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on esri.com/greeninfrastructureTwo general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)Bio-Weights0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)

This map serves as the baseline for the green infrastructure apps that visualize areas that are relatively undisturbed by development or agriculture.The habitat cores shown were derived using a model built by the Green Infrastructure Center Inc. and adapted by Esri.The Asset Finder app uses this web map as its basis.This web map provides an easily accessible data base of intact core habitat areas across the continental United States, appropriate in scale to support Green Infrastructure Planning at local, regional and national scales, using the best available national data. The results are intended to be supplemented or replaced with more current or higher resolution data when available, while still supporting Green Infrastructure planning initiatives at the regional level.Using a methodology outlined by the Green Infrastructure Center, Inc. Esri staff created a national intact habitat cores database for the lower 48 United States.The methodology identified, using nationally available datasets, intact or minimally disturbed areas at least 100 acres in size and with a minimum width of 200 meters.The identification of intact areas relied upon the 2011 National Land Cover Database. Potential cores areas were selected from land cover categories not containing the word “developed” or those categories associated with agriculture uses (crop, hay and pasture lands). The resulting areas were tested for size and width requirements, and then converted into unique polygons.These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to use in computing a “core quality index”.These layers included:Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution."Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS.*we scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.National Elevation Dataset, USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resouce Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011http://www.mrlc.gov/nlcd2011.php (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2 –https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, ESRI 3/2016. Produced by the EPA with support from the USGS.gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016, 30 m resolutionGAP Level 3 Ecological System Boundaries (downloaded 4/ 2016)http://gapanalysis.usgs.gov/gaplandcover/data/download/NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: https://coast.noaa.gov/ccapftp/#/ Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of dataNHD USGS National Hydrography Dataset http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregionshttp://maps.tnc.org/gis_data.html#TNClands (downloaded 3/2016)2015 LCC Network Areashttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Evaluation:The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on esri.com/greeninfrastructureTwo general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)Bio-Weights0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)

Following a methodology outlined by the Green Infrastructure Center Inc., Esri staff created a national intact habitat cores database for the lower 48 United States. These data were generated using 2011 National Land Cover Data. Cores were derived from all “natural” land cover classes and excluded all “developed” and “agricultural” classes including crop, hay and pasture lands. The resulting cores were tested for size and width requirements (at least 100 acres in size and greater than 200 meters) and then converted into unique polygons. This process resulted in the generation of over 550,000 intact habitat cores. These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to populate each core with attributes (53 in total) related to the landscape characteristics found within. These data were also compiled to compute a “core quality index”, or score related to the perceived ecological value of each core, to provide users with additional insight related to the importance of each core when compared to all others. The source data used to derive this attribution is as follows:Source data:Number of endemic species:(Mammals, Fish, Reptiles, Amphibians, Trees) Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems:Based upon work by Aycrigg, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms:Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning.PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms:Produced 3/2016 by Deniz Karagulle and Charlie Frye, Esri, 30 m* resolution. "Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, In Review, Transactions in GIS.*The neighborhood window was scaled from the 250-meter method described in the paper to 30-meter data in the U.S.Ecological Land Units: Sayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, D. Cribbs, D. Hopkins, R. Nauman, W. Derrenbacher, D. Wright, C. Brown, C. Convis, J. Smith, L. Benson, D. Paco VanSistine, H. Warner, J. Cress, J. Danielson, S. Hamann, T. Cecere, A. Reddy, D. Burton, A. Grosse, D. True, M. Metzger, J. Hartmann, N. Moosdorf, H. Dürr, M. Paganini, P. DeFourny, O. Arino, S. Maynard, M. Anderson, and P. Comer. 2014. A New Map of Global Ecological Land Units — An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages http://www.aag.org/cs/global_ecosystems. 2015 updated data accessed 3/2016, 250 m resolution.National Elevation Dataset:USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory:Classification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31, U.S. Fish and Wildlife Service, Division of Habitat and Resource Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011:http://www.mrlc.gov/nlcd2011.php(downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2:https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, Esri 3/2016. Produced by the EPA with support from the USGS.gSSURGO:Soil Survey Staff. Gridded Soil Survey Geographic Database for the Conterminous United States. Natural Resources Conservation Service, United States Department of Agriculture. Available online at http://gdg.sc.egov.usda.gov/. Accessed 3/2016, 30 m resolutionSSurgo:Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016GAP Level 3 Ecological System Boundaries:http://gapanalysis.usgs.gov/gaplandcover/data/download/(downloaded 4/ 2016) NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change:https://coast.noaa.gov/ccapftp/#/Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of data (downloaded by state 3/2016)NHD USGS National Hydrography Dataset:http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregions:http://maps.tnc.org/gis_data.html#TNClands(downloaded 3/2016)2015 LCC Network Areas:https://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Detailed Description of the Core Quality Index Methodology:The creation of a national core quality index was a challenging undertaking given the extreme heterogeneity of ecosystem conditions across the United States. As a result, 9 separate index scores were generated for each core, each placing varying weights on landscape characteristics of regional or local significance. This was done to account for variation across the U.S. and to provide users with additional flexibility in accommodating regional or local environmental priorities.Two general approaches were used in developing the core quality index values. The first, Default Weights, uses core size as the primary determinant of quality, following the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US. The second, Bio-Weights, puts more emphasis on characteristics associated with bio-diversity and uniqueness of ecosystem types and de-emphasizes slightly the importance of core size. This alternative was developed to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # Thickness0.05, # Topographic Diversity (Standard Deviation)0.1, # Biodiversity Priority Index (Species Richness in GIC original version)0.05, # Percentage Wetland Cover0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)0.02, # Compactness Ratio (Area relative to the area of a circle with the same perimeter length)0.1, # Stream Density (Linear Feet/Acre)0.05, # Ecological System Redundancy (Rare/Threatened/Endangered Species Abundance (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (Rare/Threatened/Endangered Species Abundance (Number of unique species in a core) in GIC original version) Bio-Weights0.2, # Acres0.1, # Thickness0.05, # Topographic Diversity (Standard Deviation)0.25, # Biodiversity Priority Index (Species Richness in GIC original version)0.05, # Percentage Wetland Cover0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)0.02, # Compactness Ratio (Area Relative To The Area Of A Circle With The Same Perimeter Length)0.1, # Stream Density (Linear Feet/Acre)0.1, # Ecological System Redundancy (Rare/Threatened/Endangered Species Abundance (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (Rare/Threatened/Endangered Species Diversity (Number of unique species in a core) in GIC original version) Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on http://www.esri.com/about-esri/greeninfrastructure

This map serves as the baseline for the green infrastructure apps that visualize areas that are relatively undisturbed by development or agriculture.The habitat cores shown were derived using a model built by the Green Infrastructure Center Inc. and adapted by Esri.The Intact Habitat Near Me app uses this web map as its basis.This web map provides an easily accessible data base of intact core habitat areas across the continental United States, appropriate in scale to support Green Infrastructure Planning at local, regional and national scales, using the best available national data. The results are intended to be supplemented or replaced with more current or higher resolution data when available, while still supporting Green Infrastructure planning initiatives at the regional level.Using a methodology outlined by the Green Infrastructure Center, Inc. Esri staff created a national intact habitat cores database for the lower 48 United States.The methodology identified, using nationally available datasets, intact or minimally disturbed areas at least 100 acres in size and with a minimum width of 200 meters.The identification of intact areas relied upon the 2011 National Land Cover Database. Potential cores areas were selected from land cover categories not containing the word “developed” or those categories associated with agriculture uses (crop, hay and pasture lands). The resulting areas were tested for size and width requirements, and then converted into unique polygons.These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to use in computing a “core quality index”.These layers included:Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution."Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS.*we scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.National Elevation Dataset, USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resouce Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011http://www.mrlc.gov/nlcd2011.php (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2 –https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, ESRI 3/2016. Produced by the EPA with support from the USGS.gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016, 30 m resolutionGAP Level 3 Ecological System Boundaries (downloaded 4/ 2016)http://gapanalysis.usgs.gov/gaplandcover/data/download/NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: https://coast.noaa.gov/ccapftp/#/ Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of dataNHD USGS National Hydrography Dataset http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregionshttp://maps.tnc.org/gis_data.html#TNClands (downloaded 3/2016)2015 LCC Network Areashttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Evaluation:The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on esri.com/greeninfrastructureTwo general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)Bio-Weights0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)

Open datasets that were updated during the last quarter compressed into a single download package. Layers included: Arterials, Bike Routes, Building Footprint Database, City Annexations, City Limits (line), City Limits (poly), Fire Districts, Flood Hazard Areas (FEMA), Freeways, Garbage Hauler Boundaries, Housing, Major Arterials, Major Rivers (line), Major Rivers (poly), Master Address File (MAF), Metro Council Districts, Metro District Boundary, Metro District Boundary Annexations, National Wetlands Inventory - NWI, Neighborhood Organizations, ORCA Sites, Outdoor Recreation and Conservation Areas (ORCA), Park District Annexations, Park Districts, Plan, RLIS Address Locator, RLIS Address Locator (Pro), Railroads, Rivers (line), Rivers (poly), School Sites, Schools, Sewer District Annexations, Sewer Districts, Sidewalks, Social Vulnerability Index 2025 by Tract, Stream routes, Streams (line), Streams (poly), Streets, Taxlot Additional Records (Public), Taxlots (Public), Taxlots Change - Geometry, Trails, Transit Districts, TriMet Bus System (routes), TriMet Bus System (stops), UGB Annexations, UGB history, Urban Growth Boundary (UGB), Urban and rural reserves, Voter Precincts, Water District Annexations, Water Districts, ZIP Codes, Zoning Date of last data update: 2025-07-31 This is official RLIS data. Contact Person: Christine Rutan christine.rutan@oregonmetro.gov 503-797-1669 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/3698 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

Following a methodology outlined by the Green Infrastructure Center Inc., Esri staff created a national intact habitat cores database for the lower 48 United States. These data were generated using 2011 National Land Cover Data. Cores were derived from all “natural” land cover classes and excluded all “developed” and “agricultural” classes including crop, hay and pasture lands. The resulting cores were tested for size and width requirements (at least 100 acres in size and greater than 200 meters) and then converted into unique polygons. This process resulted in the generation of over 550,000 intact habitat cores. These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to populate each core with attributes (53 in total) related to the landscape characteristics found within. These data were also compiled to compute a “core quality index”, or score related to the perceived ecological value of each core, to provide users with additional insight related to the importance of each core when compared to all others. The source data used to derive this attribution is as follows:Source data:Number of endemic species:(Mammals, Fish, Reptiles, Amphibians, Trees) Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems:Based upon work by Aycrigg, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms:Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning.PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms:Produced 3/2016 by Deniz Karagulle and Charlie Frye, Esri, 30 m* resolution. "Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, In Review, Transactions in GIS.*The neighborhood window was scaled from the 250-meter method described in the paper to 30-meter data in the U.S.Ecological Land Units: Sayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, D. Cribbs, D. Hopkins, R. Nauman, W. Derrenbacher, D. Wright, C. Brown, C. Convis, J. Smith, L. Benson, D. Paco VanSistine, H. Warner, J. Cress, J. Danielson, S. Hamann, T. Cecere, A. Reddy, D. Burton, A. Grosse, D. True, M. Metzger, J. Hartmann, N. Moosdorf, H. Dürr, M. Paganini, P. DeFourny, O. Arino, S. Maynard, M. Anderson, and P. Comer. 2014. A New Map of Global Ecological Land Units — An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages http://www.aag.org/cs/global_ecosystems. 2015 updated data accessed 3/2016, 250 m resolution.National Elevation Dataset:USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory:Classification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31, U.S. Fish and Wildlife Service, Division of Habitat and Resource Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011:http://www.mrlc.gov/nlcd2011.php(downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2:https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, Esri 3/2016. Produced by the EPA with support from the USGS.gSSURGO:Soil Survey Staff. Gridded Soil Survey Geographic Database for the Conterminous United States. Natural Resources Conservation Service, United States Department of Agriculture. Available online at http://gdg.sc.egov.usda.gov/. Accessed 3/2016, 30 m resolutionSSurgo:Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016GAP Level 3 Ecological System Boundaries:http://gapanalysis.usgs.gov/gaplandcover/data/download/(downloaded 4/ 2016) NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change:https://coast.noaa.gov/ccapftp/#/Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of data (downloaded by state 3/2016)NHD USGS National Hydrography Dataset:http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregions:http://maps.tnc.org/gis_data.html#TNClands(downloaded 3/2016)2015 LCC Network Areas:https://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Detailed Description of the Core Quality Index Methodology:The creation of a national core quality index was a challenging undertaking given the extreme heterogeneity of ecosystem conditions across the United States. As a result, 9 separate index scores were generated for each core, each placing varying weights on landscape characteristics of regional or local significance. This was done to account for variation across the U.S. and to provide users with additional flexibility in accommodating regional or local environmental priorities.Two general approaches were used in developing the core quality index values. The first, Default Weights, uses core size as the primary determinant of quality, following the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US. The second, Bio-Weights, puts more emphasis on characteristics associated with bio-diversity and uniqueness of ecosystem types and de-emphasizes slightly the importance of core size. This alternative was developed to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # Thickness0.05, # Topographic Diversity (Standard Deviation)0.1, # Biodiversity Priority Index (Species Richness in GIC original version)0.05, # Percentage Wetland Cover0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)0.02, # Compactness Ratio (Area relative to the area of a circle with the same perimeter length)0.1, # Stream Density (Linear Feet/Acre)0.05, # Ecological System Redundancy (Rare/Threatened/Endangered Species Abundance (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (Rare/Threatened/Endangered Species Abundance (Number of unique species in a core) in GIC original version) Bio-Weights0.2, # Acres0.1, # Thickness0.05, # Topographic Diversity (Standard Deviation)0.25, # Biodiversity Priority Index (Species Richness in GIC original version)0.05, # Percentage Wetland Cover0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)0.02, # Compactness Ratio (Area Relative To The Area Of A Circle With The Same Perimeter Length)0.1, # Stream Density (Linear Feet/Acre)0.1, # Ecological System Redundancy (Rare/Threatened/Endangered Species Abundance (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (Rare/Threatened/Endangered Species Diversity (Number of unique species in a core) in GIC original version) Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on http://www.esri.com/about-esri/greeninfrastructure