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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 (RCP8.5). The dataset is intended to represent typical winter temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...
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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 (RCP4.5). The dataset is intended to represent typical growing season degree days for the year 2050 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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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 (RCP4.5). The dataset is intended to represent typical growing season degree days for the year 2010 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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This is a 30 meter grid that maps upland and wetland wildlife habitats/ecological systems for the Northeast, including all 13 states from Maine to Virginia, west to New York, Pennsylvania and West Virginia. Mapped habitat types are drawn from the Northeastern Terrestrial Habitat Classification System (NETHCS). The NETHCS is based on NatureServe’s Ecological Systems Classification, augmented with additional information from individual state wildlife classifications and other information specific to wildlife managers. A terrestrial ecological system is defined as a mosaic of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients,...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Herring Gull (Larus...
Publication from the NALCC co-funded project Identifying Important Migratory Landbird Stopover Sites in the Northeast.With many of the world’s migratory bird populations in alarming decline, broad‐scale assessments of responses to migratory hazards may prove crucial to successful conservation efforts. Most birds migrate at night through increasingly light‐polluted skies. Bright light sources can attract airborne migrants and lead to collisions with structures, but might also influence selection of migratory stopover habitat and thereby acquisition of food resources. We demonstrate, using multi‐year weather radar measurements of nocturnal migrants across the northeastern U.S., that autumnal migrant stopover density...
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Hydrography represents stream centerlines and off centerlines with greater than 30 hectare flow accumulation for the Northeast region. This dataset was developed as part of the Designing Sustainable Landscapes project led by Professor Kevin McGarigal of the University of Massachusetts and sponsored by the North Atlantic Landscape Conservation Cooperative; for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.html The purpose of this dataset is to improve the National Hydrography Dataset (NHD) for the Northeast region. The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat...
Land Protection in a Changing Climate: Updated datasets, 2016/10.
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This dataset represents a clipped version of the terrestrial resiliency index to the State of New York developed by Mark Anderson and associates at The Nature Conservancy (Anderson et al 2012), which is a measure of the relative long-term resiliency of a site based on connectivity to a diversity of landforms, elevations and wetlands. A value of 0.9 in a cell means that it has a resiliency score that is greater than 90% of all the cells of the same geophysical setting in that watershed, and all the cells with >0.9 values comprise the best 10% of all cells across all geophysical settings within the watershed. TNC's resiliency index, as scaled here, is a major component of the terrestrial core area selection index...
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**Symbology has been adjusted by the Open Space Institute from The Nature Conservancy's original "Geophysical Settings, 2016 Eastern U.S. and Canada" dataset.** The geophysical settings are defined by their physical properties – geology, soil, and elevation - that correspond to differences in the flora and fauna they support. They also differ in ecological character, in their value for agriculture or mining, and how they have been developed by people. For example, the region’s high granite mountains are both largely intact and topographically complex, whereas low coastal sandplains are both more fragmented and relatively flat. The geophyical settings classification enabled us to compare resilience characteristics...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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This dataset represents forest gain during the period 2000-2012, defined as the inverse of loss, or a non-forest to forest change, entirely within the study period, for the Northeast region including Canada. Data was encoded as either 1 (gain) or 0 (no gain). The Global Forest Cover Change project is a multi-year activity designed to generate forest cover and forest cover change products at multiple resolutions and multiple dates for every land surface in the world. The GFCC team is located at the University of Maryland, NASA Goddard Space Flight Center, and the South Dakota State University. This activity is sponsored primarily through the NASA MEaSUREs program, with its emphasis on producing quality data products...
Data for the NYS gallery on Data Basin
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Bedrock geology strongly influences area soil and water chemistry. Even in glaciated landscapes, studies suggest that soil parent material is commonly of local origin, rarely being ice-transported more that a few miles from its source. Bedrock types also differ in how they weather and in the physical characteristics of the residual soil type. Because of this, local lithology is usually the principle determinant of soil chemistry, texture, and nutrient availability. Many ecological community types are closely related to the chemistry and drainage of the soils or are associated with particular bedrock exposures. We grouped bedrock units on the bedrock geology maps of ME, NH, VT, MA, CT, RI, NY, PA, NJ, and MD into...
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A "landform" is any physical, recognizable form or feature on the earth's surface that has a characteristic shape and that is produced by natural causes (USDA Natural Resources Conservation Service). Landforms are largely responsible for local variation in solar radiation, soil development, moisture availability, and susceptibility to wind and other disturbance. They therefore have a large influence on plant productivity and species distributions. This dataset maps 17 landforms that are commonly found in the Northeastern U.S. and eastern Canada. This dataset was developed by The Nature Conservancy as part of "Resilient Sites for Terrestrial Conservation in the Northeast and Mid-Atlantic region" found here: http://www.conservationgateway.org/ConservationByGeography/NorthAmerica/U...
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A large portion of the U.S. population lives in coastal areas along the Atlantic and Gulf coasts and the Caribbean; however, our coasts are also home to many fish, wildlife, and plant species that are important for recreation, tourism, local economies, biodiversity, and healthy coastal ecosystems. Coastal habitats also provide protective ecosystem services to human communities, which are increasingly at risk to storms and sea level rise under future climate change. Understanding how climate change will impact natural and human communities is a crucial part of decision making and management related to the protection of our coasts. In a collaborative project between the North Atlantic Landscape Conservation Cooperative...
Rutgers University and Conserve Wildlife Foundation of New Jersey have partnered on a project entitled Protection of Critical Beach-nesting Bird Habitats in the Wake of Severe Coastal Storms under the North Atlantic LCC coordinated Hurricane Sandy Disaster Mitigation Funds beach resiliency projects. The project uses species’ distribution modeling to examine the landscape-scale habitat variables that influence beach-nesting bird habitat selection. The original project had the following primary goals: 1) catalogue suitable breeding habitat criteria for NJ’s beach-nesting birds; 2) quantify changes in beach-nesting bird habitat resulting from Superstorm Sandy; 3) evaluate the impact of anthropogenic storm recovery...
map background search result map search result map Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP8.5 Terrestrial Habitat, Northeast Bedrock Geology, Northern Appalachians/Acadians Hydrography High Resolution, 1:24,000, Northeast Landforms, Northern Appalachians Growing Season Degree Days for Northeast, Projected for 2010, RCP 4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2050, RCP 4.5, Ensemble GCM Results Forest Cover Gain, 2000-2012, Northeast Predicted Annual Probability of Observing at least One Herring Gull Identifying Critical Thresholds and Tipping Points for Priority Coastal Species in a Changing Future Terrestrial Resilience, New York State Land Protection in a Changing Climate Geophysical Settings, 2016 Eastern U.S. and Canada Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Predicted Annual Probability of Observing at least One Herring Gull Terrestrial Habitat, Northeast Terrestrial Resilience, New York State Hydrography High Resolution, 1:24,000, Northeast Mean Minimum Winter Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP8.5 Growing Season Degree Days for Northeast, Projected for 2010, RCP 4.5, Ensemble GCM Results Growing Season Degree Days for Northeast, Projected for 2050, RCP 4.5, Ensemble GCM Results Forest Cover Gain, 2000-2012, Northeast Landforms, Northern Appalachians Bedrock Geology, Northern Appalachians/Acadians Identifying Critical Thresholds and Tipping Points for Priority Coastal Species in a Changing Future Geophysical Settings, 2016 Eastern U.S. and Canada