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Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
This Story Map Journal discusses broad-scale data available for various natural resource topics. Links to download broad-scale data are provided in the discussion text. The interactive web maps depict examples of broad-scale data made publicly available and served by the various organizational owners of the data.
Types: Map Service;
Tags: Aerial,
Air Quality,
BISON,
BLM,
Biodiversity Information Serving Our Nation,
This dataset represents the cumulative result of multi-season classification of land cover in the GCPO LCC geography to NatureServe Ecological Systems based on 2011 seasonal Landsat Satellite Imagery. The approach used a Random Forest algorithm and several dozen input data layers to classify land cover at a 30 m pixel resolution. The description below is taken directly from the report titled “Update of the Eastern GCPO Land Cover Database to 2011 Using a LS2SRC Approach”, by Dr. Qingmin Meng, Department of Geosciences, Mississippi State University.Random Forest classifier is based on the general decision tree approach, which has been a popular approach to multilevel and multistage decision making. Its basic idea...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
Data Acquisition and Development,
Data Management and Integration,
GAP,
GCPO,
A spatial dataset of public and private lands and waters secured by a conservation situation that includes an explicit level of security from future conversion and current incompatible uses.For more information on TNC's Secured Lands project visit: www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/terrestrial/secured/Pages/default.aspx The list of sources for this dataset can be found in the attached word document. The full report on the status and condition of the northeastern natural landscapes, under all levels of protection: https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/Documents/Conservation-Status-of-Fish-Wildlife-and-Natural-Habitats.pdf...
Categories: Data,
Publication;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: TNC,
areas,
easements,
gap,
land,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: GAP,
land cover,
vegetation,
vegetation types
GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were...
Categories: Data;
Types: ArcGIS REST Map Service,
Map Service;
Tags: Biodiversity,
Conservation,
GAP,
Gap Analysis,
Species Distribution,
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
This Story Map Journal discusses the landscape approach various agencies and organizations are applying to their data analysis of natural resources. Links to broad-scale data, tools, and assessments are provided in the discussion text.
Types: Map Service;
Tags: Aerial,
BASINS,
BISON,
BLM,
Better Assessment Science Integrating Point and Non-point Sources,
This map summarizes information presented in the other chapters of the report, including background information on the Bureau of Land Management and Rapid Ecoregional Assessments (REAs), and the REA components that are addressed by the Wyoming Basin REA. In addition, we provide two-page summaries for each Change Agent (development, invasive species, fire, and climate change) and Conservation Element (species and communities) assessed by the Wyoming Basin REA. The REA?s provide an assessment of 1) baseline conditions for long-term monitoring of broad-scale conditions and trends; 2) landscape-level intactness of ecological communities, habitats for priority species, and the ecoregion overall; and 3) a predictive capacity...
This dataset consists of polygon range maps for terrestrial vertebrate species in Alaska. The maps are shapefiles between 0 and 12 MB in size to be used in OpenGIS or ArcGIS on a PC. Individual species range maps were developed using the best available known range of the species (derived from a variety of available point data sources), overlaid with watershed-scale units (8-digit HUCs; standard map for U.S. GAP project) for the state of Alaska in the Alaska Albers NAD83 projection. These maps present the data in the form that they were created in, are subject to change, and are freely available from the the Alaska GAP project.
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset consists of raster distribution maps for terrestrial vertebrate species in Alaska. Individual species distribution maps were developed using the best available known occurrence points for each species and modeled using MaxEnt software and a series of environmental predictor variables. Output maps were clipped...
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...
This dataset compiles land ownership and management data from state and federal agencies to create a map showing ownership, management, and conservation status of all land in Alaska. State, federal, and private lands, including Native corporations and Native allotments, are included. Conservation status describes the degree to which land, particularly public land, is legally designated and explicitly managed for biodiversity conservation. The most common classification, developed by the USGS GAP Program (www.gap.uidaho.edu), classifies land management types into four conservation status categories according to the degree to which the land is explicitly managed for conservation. In general, conservation status 1...
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
GAP,
IUCN,
conservation status,
management,
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