Skip to main content
Advanced Search

Filters: Tags: {"type":"Theme"} (X) > Extensions: ArcGIS Service Definition (X)

910 results (90ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Schemes
Tags (with Type=Theme )
View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
The Comprehensive Habitat Type Dataset was developed by merging NOAA Benthic Habitat Atlas (BHA), Ecological Mapping Systems of Texas (aka Texas Ecological Systems Database, TESD), and National Wetlands Inventory (NWI) data within the study area for the ICF 2012 project (CGP LCC 2012-002 Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast). BHA data was used to depict mangroves, oysters, and patchy, continuous, and discontinuous seagrass beds where BHA existed within the study area. NWI data was used for all wetland/intertidal environments where NWI data existed within the study area. TESD data was used for all upland environments, and weltand/intertidal...
thumbnail
This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
thumbnail
This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
thumbnail
This dataset contains two feature classes - contacts and map units - digitized from the Atlas of Mars 1:5,000,000 Geologic Series Map Amenthes Area (1979). Geologic structures have been omitted.
thumbnail
Almost all the pictures acquired by Mariner 10 that were used for mapping were obtained during the first encounter: those covering the southeast half of the quadrangle are incoming close-encounter images, and those covering the north-west corner are outoing close-encounter images. At the time the pictures were obtained, the terminator was at about long 7° to 8°, within the eastern part of the quadrangle. A large gap in coverage between in the incoming and outgoing images appears as a northeast-trending diagonal blank strip on the base map. A small part of this gap was filled in the southwestern part of the quadrangle by very poor second-encounter images.
thumbnail
Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
thumbnail
Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
thumbnail
There are 6 datasets total that together represent sediment placement in the North and Mid-Atlantic: Proposed Sediment Placement (points, lines, and polygons) and Sediment Placement (points, lines, and polygons).These data are part of a broader project: Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. An estimate of the length of sandy oceanfront beaches that have received or continue to receive sediment placement from Maine through North Carolina was compiled. Only ocean-facing shorelines or those directly exposed to Long Island Sound or the Peconic Estuary were included in this...
thumbnail
This dataset represents public and non-governmental organizations (NGO) beaches in the North and Mid-Atlantic. The data are part of a larger project, Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. Beachfront land parcels in public or NGO ownership were delineated from a variety of sources, including county or municipal parcel data available online to the public (see Table 1 of Rice 2015b for a full list of sources consulted for Maine to New York). Public and NGO-owned beachfront parcels are delineated with narrow, lime green lines in Google Earth Pro. The public / NGO line segments...
thumbnail
This dataset represents a species distribution model for least tern (Sternula antillarum) on New Jersey’s Atlantic coast and was created as part of the Protection of Critical Beach Habitat project. In addition to least tern, this project includes species distribution models for piping plover (Charadrius melodus), least tern (Sternula antillarum), and American oystercatcher (Haematopus palliatus). All species models can be found in the Data Basin gallery Protection of Critical Beach-nesting Bird Habitats in the Wake of Severe Coastal Storms.Species distribution modeling was conducted to examine the influence of landscape scale variables and beach management strategies on bird breeding habitat suitability. The probability...
thumbnail
UPDATE 9/24/2014. Resilience concerns the ability of a living system to adjust to climate change, to moderate potential damages, to take advantage of opportunities, or to cope with consequences; in short, its capacity to adapt. In this project we aim to identify the most resilient examples of key geophysical settings (e.g. sand plains, granite mountains, limestone valleys, etc.) to provide conservationists with a nuanced picture of the places where conservation is most likely to succeed over centuries. The project had three parts: 1) identifying and mapping the geophysical settings, 2) developing a quantitative estimate of resilience for each setting based on landscape complexity and permeability, and 3) identifying...
thumbnail
The download for this dataset includes TNC’s full Northeastern Aquatic Habitat Classification System: stream size, stream temperature, stream gradient, stream geology, lakes and catchments. This dataset represents the results (9/30/2008) of the Northeastern Aquatic Habitat Classification System (NAHCS) GIS map for streams and rivers. This classification focused on mapping a stream habitat types across 13 northeastern states (ME, NH, VT, MA, CT, RI, NY, NJ, PA, MD, DC, DE, VA, WV). Stream and river centerlines were extracted from the USGS National Hydrography Dataset Plus (NH-Plus) 2006 1:100,000 data. These reaches were attributed and placed into classes representing their biopysical setting in terms of stream...
thumbnail
This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation.This dataset depicts the potential capability of the landscape throughout the CT River Watershed to provide habitat for Eastern Meadowlark (Sturnella magna) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability, habitat...
thumbnail
To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the growing season degree days (number of days in which the average temperature is > 10 degrees C) using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical growing season degree days for the year 2060 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
thumbnail
This layer represents 5-year relative counts of wildlife carcasses collected by Montana Department of Transportation (MDT) maintenance personnel or U.S. Fish & Wildlife Service Grizzly Bear Recovery Team personnel on or adjacent to on-system (major) routes from 2008 to 2012. To obtain relative counts, the 5-year total counts per mile, which included all wildlife species observed, were divided by the maximum observed calue (98) to give a relative 0-1 risk score. Total counts, which include all wildlife species observed, along with carnivore counts, which include only black bears, grizzly bears, mountain lions, and wolves, are provided. Counts were derived by identifying the nearest mile marker to each carcass point...
thumbnail
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.There is no widely accepted standard for analyzing shoreline...
thumbnail
This dataset was last updated February 2017. This version incorporates a revised version of the land cover classification, Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1 developed by the University of Massachusetts, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.The Red-shouldered Hawk (Buteo lineatus) is a medium-sized raptor that feeds on small mammals, frogs, snakes, and other small prey. It has been chosen to represent the habitat needs of other species of wildlife that also use mature forest, especially in floodplains or with wetlands, including species with relatively large home ranges. This dataset depicts the potential capability of the landscape...
thumbnail
To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical winter temperatures in the decade centered on 2080 rather than the actual temperatures during 2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED...


map background search result map search result map WA Short Term Shoreline Change Resilience Stratified by Setting and Ecoregion with Regional Override, Northern Appalachians/Acadians Northeastern Aquatic Habitat Classification System, Stream Gradient Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2060, RCP 8.5, Ensemble GCM Results Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Landscape Capability for Eastern Meadowlark, CT River Watershed Landscape Capability for Red-shouldered Hawk, Version 3.0, Northeast U.S. Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Hydrospatial Framework for the Laurentian Great Lakes Rate of shoreline change statistics for New York State coastal wetlands Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Species distribution model for least tern on New Jersey’s Atlantic Coast, 2007-2012 Geologic Map of the Victoria Quadrangle of Mercury Sediment Placement, 2012-2015, North and Mid-Atlantic U.S. Public and NGO Beaches, 2015, North and Mid-Atlantic U.S. Geologic Map of the Amenthes Quadrangle of Mars Cowan, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Cowan, Tennessee Karst Groundwater Dye Tracing Water Year 2022 Woodbury, Tennessee Karst Groundwater Dye Tracing Water Year 2022 WA Short Term Shoreline Change Potential Habitat Use for the Long-billed Curlew in the Central Texas Coast Species distribution model for least tern on New Jersey’s Atlantic Coast, 2007-2012 Rate of shoreline change statistics for New York State coastal wetlands Landscape Capability for Eastern Meadowlark, CT River Watershed Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) Sediment Placement, 2012-2015, North and Mid-Atlantic U.S. Public and NGO Beaches, 2015, North and Mid-Atlantic U.S. Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Hydrospatial Framework for the Laurentian Great Lakes Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Northeastern Aquatic Habitat Classification System, Stream Gradient Landscape Capability for Red-shouldered Hawk, Version 3.0, Northeast U.S. Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2080, RCP4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2060, RCP 8.5, Ensemble GCM Results Resilience Stratified by Setting and Ecoregion with Regional Override, Northern Appalachians/Acadians Geologic Map of the Amenthes Quadrangle of Mars Geologic Map of the Victoria Quadrangle of Mercury