The Digital Geologic-GIS Map of the Little River Quadrangle, Alabama is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (lirv_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (lirv_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (lirv_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (liri_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (liri_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (lirv_geology_metadata_faq.pdf). Please read the liri_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Geological Survey of Alabama and Auburn University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (lirv_geology_metadata.txt or lirv_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic-GIS Map of the Jamestown Quadrangle, Alabama and Georgia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (jmst_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (jmst_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (jmst_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (liri_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (liri_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (jmst_geology_metadata_faq.pdf). Please read the liri_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Geological Survey of Alabama and Auburn University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (jmst_geology_metadata.txt or jmst_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic-GIS Map of Little River Canyon National Preserve and Vicinity, Alabama and Georgia is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (liri_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (liri_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (liri_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (liri_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (liri_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (liri_geology_metadata_faq.pdf). Please read the liri_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Geological Survey of Alabama and Auburn University, Department of Geosciences. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (liri_geology_metadata.txt or liri_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Pavement, building footprints, and sidewalk polygons from 2023 covering Lee County, AL. Layers are from the 2023 Lee County aerial project. Data not updated since its generation during the referenced aerial project year.

Reason for Selection This indicator represents ecologically important thresholds in forest patch size and other characteristics, such as distance to forest and ecotone edge. Many species are sensitive to these features of the landscape, but forest birds’ habitat relationships are the most extensively studied and have available habitat models. The needs of these forest bird species are increasingly restrictive at higher index values, reflecting better quality forested wetland and upland hardwood habitat. Input Data

South Atlantic Blueprint 2021 extent
Southeast Blueprint 2023 extent
2019 National Land Cover Database (NLCD)
Base Blueprint 2022 extent
The following Southeast GAP species models: 

Chuck-will’s widow (bCWWI) Red-headed woodpecker (bRHWO) Wood thrush (bWOTH) Whip-poor-will (bWPWI) American woodcock (bAMWO) Hooded warbler (bHOWA) Kentucky warbler (bKEWA) Acadian flycatcher (bACFL) Black-throated green warbler (bBTNW) Northern parula (bNOPA) Prothonotary warbler (bPROW) Swainson’s warbler (bSWWA)

  Select models from the South Atlantic Migratory Bird Initiative (SAMBI) Designing Sustainable Landscapes (DSL) avian habitat project:

Prothonotary warbler (bPROW) Swainson’s warbler (bSWWA) Mapping Steps The index of forest birds is based on scores representing increasingly restrictive limitations of potential habitat for a suite of species. Species-based constraints are:

If a pixel is identified in the wood thrush (1 ha minimum patch), whip-poor-will (no more than 250 m into forest interior), red-headed woodpecker (interior patch within 500 m of early successional habitat), Chuck-will’s widow (interior patch within 500 m of early successional habitat), or American woodcock (within 125 m of ecotone edge) Southeast GAP models, give it a value of 1. If not, give it a value of 0.
If a pixel is identified in the hooded warbler (15 ha minimum patch) or Kentucky warbler (17 ha minimum patch in wet hardwoods) Southeast GAP models, give it a value of 2. If not, it retains the value from step 1.
If a pixel is identified in the Acadian flycatcher (40 ha minimum patch) Southeast GAP model, give it a value of 3. If not, it retains the value from step 2.
If a pixel is identified in the Northern parula (70 ha minimum patch) Southeast GAP model, black-throated green warbler (100 ha minimum patch) Southeast GAP model, or the prothonotary warbler (70 ha minimum patch within 120 m of water) Southeast GAP or DSL model, give it a value of 4. If not, it retains the value from step 3.
If a pixel is identified in the Swainson’s warbler (350 ha minimum patch within 250 m of water) Southeast GAP or DSL model, give it a value of 5. If not, it retains the value from step 4.
If a pixel is identified in the NLCD as low, medium, or high intensity developed, assign it a value of 0. If not, it retains the value from step 5.
Clip to the spatial extent of the 2021 South Atlantic Blueprint. The data outside this area was not reviewed by the indicator team who created it, so we decided not to use those data.
Clip to the spatial extent of Base Blueprint 2022.
As a final step, clip to the spatial extent of Southeast Blueprint 2023. 

Note: For more details on the mapping steps, code used to create this layer is available in the Southeast Blueprint Data Download under > 6_Code. Final indicator values Indicator values are assigned as follows:5 = Very large patches near water (potential for presence of Swainson’s warbler)4 = Large patches often near water (potential for presence of Northern parula, black-throated green warbler, or prothonotary warbler)3 = Medium patches (potential for presence of Acadian flycatcher)2 = Small patches often near water (potential for presence of hooded warbler or Kentucky warbler)1 = Very small patches or near open areas (potential for presence of wood thrush, whip-poor-will, red-headed woodpecker, Chuck-will’s widow, or American woodcock)0 = Less potential for presence of forest bird index species Known Issues

This indicator predicts less habitat for Swainson’s warbler and prothonotary warbler in the Apalachicola basin because one of the two models used for these species (DSL) does not cover this area.
It overpredicts habitat in areas that have been converted to other land uses since the release of 2001 GAP landcover data.
Thresholds used in this indicator focus primarily on species presence and larger patches are likely needed for source populations of any of these species.

Disclaimer: Comparing with Older Indicator Versions There are numerous problems with using Southeast Blueprint indicators for change analysis. Please consult Blueprint staff if you would like to do this (email hilary_morris@fws.gov). Literature Cited Southeast Gap Analysis Project. SE-GAP Vertebrate Predicted Habitat. [http://www.basic.ncsu.edu/segap/DataServer.html].

Williams SG, Rubino MJ. 2012. Designing Sustainable Landscapes Project. Biodiversity and Spatial Information Center, North Carolina State University. [http://www.basic.ncsu.edu/dsl/hab.html]. Accessed April 2014.

Williams SG, Rubino MJ, Silvano AL, Elliott MJ, Cook K, Smith S. 2010. Southeast Gap Analysis Project. Biodiversity and Spatial Information Center, North Carolina State University; Alabama Gap Project, Alabama Cooperative Fish & Wildlife Research Unit, Auburn University; Natural Resources and Spatial Analysis Laboratory, University of Georgia. Accessed April 2014. [http://www.basic.ncsu.edu/segap/].