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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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These layers show land ownership and status of all Canadian and U.S. lands that fall within the boundaries of the Great Northern Landscae Conservation Cooperative. Layers were compiled from various sources, each with it’s own metadata reference file.
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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A raster dataset representing the resilience and resistance classes combined with greater sage-grouse breeding habitat probabilities. It was created to represent greater sage-grouse breeding habitat probabilities within each resilience and resistance class. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy. The R&R and the GRSG Breeding Habitat Probability raster were incorporated; the resulting raster contained 12 values: 26 - Unsuitable Probability and High R&R 27 - Unsuitable Probability and Moderate R&R 28 - Unsuitable Probability and Low R&R 51 - Low Probability and High R&R 52 - Low Probability and Moderate R&R 53...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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The model was acquired from Tyler Wagner (U.S. Geological Survey) (DeWeber & Wagner, 2014). Model outputs were composed of Ecological Drainage Units (EDUs), each of which was assigned a resulting mean predicted occurrence probability. The study region was determined by the Eastern Brook Trout Joint Venture (EBTJV) and represents the native range of the species on the East Coast. The polygons of interest were derived from the NHD plus dataset, with local catchments located at least 90% within the study region boundary. Presence data was taken from fish sampling records collected from state agencies and the Multistage Aquatic Resources Information System (MARIS), and these points were joined to the nearest stream...
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Hellbender presence data was acquired from NatureServe and limited to points dating from 1980 to the present, with individual points adapted from the available data. Geospatial data was acquired from the U.S. Geological Survey’s National Land Cover Database (NLCD) and the Horizon Systems Corporation National Hydrography Dataset (NHD) Version 2. The study was conducted over the extent of the Appalachian LCC. Environmental variables of consideration were determined through literature review and expert advice on the species (Personal correspondence, Quinn, 2009). Hellbender presence data was sub-sampled to reduce spatial bias. Pseudo-absence points were also calculated to be within 1 km of the position of the presence...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. The irreplacebility of the landscape was assessed to determine the importance of conservation. The number...
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Landscape conservation cooperatives (LCCs) are conservation-science partnerships between the U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and other federal agencies, states, tribes, NGOs, universities and stakeholders within a geographically defined area. They inform resource management decisions to address national-scale stressors, including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity, all of which are accelerated by climate change. This dataset represents the geographic boundary of the Appalachian LCC.
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A raster dataset representing the probability of the surrounding landscape (6.4km radius) supporting a greater sage-grouse lek.This dataset was made by mosaicking the probability of GRSG habitat layers (citation) and classifying them into unsuitable (0.01-0.25), low (0.25-0.50), moderate (0.50-0.65), and high (0.65-1.0) probabilities of the landscape supporting a lek. The publication date of this data is July 2016.


map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Oklahoma fish sampling records 1916-2010 Sage-grouse Habitat Categories in Nevada and NE California (August 2014) GNLCC Jurisdictional Boundaries Appalachian LCC Landscape Conservation Design Phase 1 Regional Cores Appalachian LCC Landscape Conservation Design Phase 1 East West Linkages Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Appalachian LCC Landscape Conservation Design Phase 1 Local Cores Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Brook Trout Highly Suitable Habitat with the Appalachian Landscape Conservation Cooperative Eastern Hellbender Suitable Habitat Percent catchment under crop-rivers Density of upstream dams_rivers Amount of inflow stored in upstream dams-rivers Anthropogenic sediment yield Appalachian LCC Landscape Conservation Design Phase 1 Species Richness Appalachian LCC Boundary_applcc-shp-004 GRSG Breeding Habitat Probability Raster GRSG Breeding Habitat Probabilities within R&R Classes Raster Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Appalachian LCC Landscape Conservation Design Phase 1 East West Linkages Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Appalachian LCC Landscape Conservation Design Phase 1 Local Cores Appalachian LCC Landscape Conservation Design Phase 1 Regional Cores Appalachian LCC Boundary_applcc-shp-004 Percent catchment under crop-rivers Density of upstream dams_rivers Amount of inflow stored in upstream dams-rivers Anthropogenic sediment yield Eastern Hellbender Suitable Habitat Brook Trout Highly Suitable Habitat with the Appalachian Landscape Conservation Cooperative Appalachian LCC Landscape Conservation Design Phase 1 Species Richness GRSG Breeding Habitat Probabilities within R&R Classes Raster GRSG Breeding Habitat Probability Raster GNLCC Jurisdictional Boundaries Multistate Aquatic Resources Information System (MARIS) published 20131201 - Oklahoma fish sampling records 1916-2010