Managed_Lands_IDNR_IN is a polygon shapefile that contains managed land areas in Indiana, provided by personnel of the Indiana Natural Heritage Data Center, Indiana Department of Natural Resources (INHDC-IDNR) as of November 10, 2015. Attributes include contact information for land managers, as well as whether the land is open to the general public or if access is restricted. For additional information regarding lands owned by federal agencies, local agencies, and non-profit organizations, as well as conservation easements, persons should contact the IDNR Indiana Natural Heritage Data Center (317-232-4052). The following is excerpted from the metadata provided by INHDC-IDNR for the source shapefile MANAGEDLANDS_DNR_INHD_IN_151110.SHP: 'ManagedLands_DNR_INHD_IN is a subset of ManagedLandsAll_DNR_INHD_IN, excluding those areas that are listed as conservation easements or listed as closed. 'ManagedLandsAll_DNR is the Indiana Natural Heritage Data Center Managed Areas dataset. It includes natural and recreation areas which are owned or managed by the Indiana Department of Natural Resources, federal agencies, local agencies, and non-profit organizations. It also includes private lands with Conservation Easements owned by IDNR. 'NATURAL AREAS THAT ARE NOT OWNED NOR MANAGED BY DNR ARE ADDED AS DATA IS AVAILABLE. IT IS BY NO MEANS A COMPLETE AND COMPREHENSIVE DATASET FOR ALL SUCH AREAS IN THE STATE. 'The Indiana Natural Heritage Data Center Managed Area Database is a digital, geospatial file containing information on Indiana's significant protected natural areas. All counties in the state are represented. '

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

The mission of the USGS Gap Analysis Program (GAP) is providing state, regional and national assessments of the conservation status of native vertebrate species and natural land cover types and facilitating the application of this information to land management activities. The PAD-US geodatabase is required to organize and assess the management status (i.e. apply GAP Status Codes) of elements of biodiversity protection. The goal of GAP is to 'keep common species common' by identifying species and plant communities not adequately represented in existing conservation lands. Common species are those not currently threatened with extinction. By identifying their habitats, gap analysis gives land managers and policy makers the information they need to make better-informed decisions when identifying priority areas for conservation. In cooperation with UNEP-World Conservation Monitoring Centre, GAP ensures PAD-US also supports global analyses to inform policy decisions by maintaining World Database for Protected Areas (WDPA) Site Codes and data for International Union for the Conservation of Nature (IUCN) categorized protected areas in the United States. GAP seeks to increase the efficiency and accuracy of PAD-US updates by leveraging resources in protected areas data aggregation and maintenance as described in "A Map of the Future", published following the PAD-US Design Project (July, 2009). While PAD-US was originally developed to support the GAP Mission stated above, the dataset is robust and has been expanded to support the conservation, recreation and public health communities as well. Additional applications become apparent over time.

This Feature Service displays the boundaries and types of the Forest Management Prescription areas within the Monongahela, George Washington and Jefferson National Forests. The data reflects that shown in their respective Forest Management Plans.Source and Date:GW and JNF prescriptions received from James O'Hear of GWJNF in Feb of 2015.MNF prescriptions received from Rick Webb in a FOIA package he received from MNF, also in Feb of 2015.Purpose:Management prescriptions detail the intended land use of National Forests. The goal is typically for conservation, ecosystem health, biodiversity, recreation, and more. By detailing these areas, protecting land is more organized and efficient.Processing:The received shapefiles were Merged into a single shapefile (native fields preserved), and imported into ArcGIS to create this feature service.Symbolization:MonongahelaMP 3.0: teal polygonMP 4.1: greenish yellow polygonMP 5.0: dark green polygonMP 6.1: gray polygon MP 6.2: light blue polygonMP 8.0: green polygonGeorge Washington1A - Designated Wilderness: dark green polygon1B - Recommended Wilderness: green polygon2C2 - Scenic River: blue polygon2C3 - Recreational River: blue polygon4A - Appalachian Trail Corridor: yellow polygon4B - Research Natural Area: beige polygon4C1 - Geologic Area: beige polygon4D - Special Biological Area: beige polygon4D1 - Peters Mountain Old Growth: beige polygon4F - National Scenic Area: muted dark green polygon4FA - Proposed National Scenic Area: muted light green polygon5A - Administrative Site: red-orange polygon5B - Communication Site: red-orange polygon5C - Special Use/Utility: red-orange polygon7A1 - Scenic Byway: orange polygon7B - Scenic Corridor and Viewshed: orange polygon7C - ATV/OHV Area: pink polygon7D - Concentrated Recreation: light green polygon7E1 - Dispersed Recreation (Unsuitable): light green polygon7E2 - Dispersed Recreation (Suitable): yellowish green polygon7F - Blue Ridge Parkway: orange polygon7G - Pastoral Landscape: neon green polygon8E4a - Indiana Bat Primary: light gray polygon8E4b - Indiana Bat Secondary: light gray polygon8E7 - Cow Knob Salamander: beige polygon12D - Remote Backcountry: muted light green polygon13 - Mosaics of Habitat (Suitable): light brown polygonJefferson0.B - Custodial - Small Areas: light green polygon1.A - Designated Wilderness: green polygon1.B - Recommended Wilderness Study: dark brown polygon2.C.1 - Eligible Wild River: dark blue polygon2.C.3 - Eligible Recreational River: bright, dark blue polygon4.A - Appalachian Trail Corridor: yellow polygon4.B.2 - Proposed Research Natural Area: pink polygon4.C.1 - Geological Area - Unsiutable: striped pink polygon4.C.2 - Geological Area - Suitable: light pink polygon4.D - Botanical and Zoological Area: neon pink polygon4.E.1.a - Cultural Area - Unsuitable: striped purple polygon4.E.1.b - Cultural Area - Suitable: purple polygon4.F - Scenic Area: dark purple polygon4.J - Urban/Suburban Interface: light purple polygon4.K.1 - North Creek Special Area: yellowish green polygon4.K.2 - Hoop Hole Special Area: yellowish green polygon4.K.3 - Crest Zone Special Area: yellowish green polygon4.K.4 - Whitetop Mountain Special Area: yellowish green polygon4.K.5 - Whitetop Laurel Special Area: yellowish green polygon4.K.6 - North Fork Pound Special Area: yellowish green polygon5.A - Administrative Site: dark gray polygon5.B - Designated Communication Site: orange polygon5.C - Designated Utility Corridor: red polygon6.A - Old Growth Natural Processes: beige polygon6.B - Old Growth Fire Dependant: dark beige polygon6.C - Old Growth with Disturbance: light orange polygon7.A - Scenic Byway Corridor: very light green polygon7.B - Scenic Corridor: neon green polygon7.C - OHV Use Area: horizontally striped pink polygon7.D - Concentrated Recreation Area: diagonally striped pink polygon7.E.1 - Dispersed Rec Areas - Unsuitable: diagonally striped brown polygon7.E.2 - Dispersed Rec Areas - Suitable: light green polygon7.F - Blue Ridge Parkway Corridor: purple-blue polygon7.G - Pastoral Landscapes: camouflage polygon8.A.1 - Mix of Successional Habitats: light blue polygon8.A.2 - Area Sensitive, Mid to Late Sucessional Forest: light purple polygon8.B - Early Successional Habitats: bright blue polygon8.C - Black Bear Habitat: muted teal polygon8.E.1 - Ruffed Grouse Habitat: horizontally striped blue polygon8.E.2.a - Peaks of Otter Salamander Primary: blue polygon8.E.2.b - Peaks of Otter Salamander Secondary: blue polygon8.E.4.a - Indiana Bat Primary: blue polygon8.E.4.b - Indiana Bat Secondary: blue polygon8.E.5 - Watchable Wildlife: blue patterned polygon8.E.6 - Old Field Habitats: green patterned polygon9.A.1 - Source Water Protection: light orange polygon9.A.3 - Watershed Restoration: diagonally striped orange polygon9.A.4 - Aquatic T/E/S Habitats: diagonally striped light orange polygon9.B.3 - High-Elevation Balds: neon teal polygon9.B.2 - High-Elevation Spruce-Fir/Northern Hardwoods: neon polygon9.F - Rare Communities: neon purple polygon9.G.1 - Bottomland Hardwoods: dotted light blue patterned polygon9.H - Maintenance/Restoration of Forest Communities: dotted light blue patterned polygon10.A - Sustained Yield Timber Management: blue polygon10.B - High Quality Forest Products: blue polygon10.D - Grazing and Forage: light blue polygon10.E - Timber Management with Recreation: blue polygon11 - Riparian Area: dotted blue patterns polygon12.A - Backcountry - Few Roads: bright green polygon12.B - Backcountry - Non-Motorized: brown-green polygon12.C - Backcountry - Natural Processes: dark green polygonNational Forest Boundary: transparent interior polygon, black outlineCity or Town: gray shaded polygon, gray dashed outlineCounty Boundary: transparent polygon, gray dotted outline

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer