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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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In response to the threats of land use and changing environmental conditions, the North Atlantic Landscape Conservation Cooperative (LCC) and the Northeast Association of Fish and Wildlife Agencies (NEAFWA) coordinated a team of partners from 13 states, the U.S. Fish and Wildlife Service, nongovernmental organizations, and universities, who worked for more than a year to develop a regional conservation design that provides a foundation for unified conservation action from Maine to Virginia. Drawing on the data and models generated by projects supported over the years by the North Atlantic LCC, and building on smaller-scale conservation designs in the region, Nature’s Network is an overarching design that represents...
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NOTE: The data are available online four times based on four different attributes (the current, plus 2 degrees C, plus 4 degrees C, and plus 6 degrees C probability of occurrence), the dataset is the same and the download includes the layer files for all the attributes, you do NOT need to download the data more than once.This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. Brook Trout probability of occurrence is intended to provide predictions of occupancy (probability of presence)...
This project is being closely coordinated with a companion project funded by the North Atlantic LCC.In 2011, intense and sustained rain from Hurricane Irene and Tropical Storm Lee washed out roads throughout mountains of New York and New England as culverts running under those roads were not designed to handle such enormous volumes of water. Additional flooding from Hurricane Sandy, which lashed the Northeast coast and adjacent inland areas in October 2012, caused additional damage. The widespread effects of these massive storms underscore the need for a regional science-based approach to prioritize and increase the resiliency of roads to floods.Improving the resiliency of roads has multiple benefits beyond protecting...
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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...
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Tidal marshes serve a variety of important functions valued by Maine communities. Unfortunately, tidal marsh habitats are highly vulnerable to damage or loss from sea level rise. Scientists expect marsh habitats will be more frequently flooded in the future and marsh vegetation lost or significantly altered as a result. Salt marshes do, however, have the ability to ‘migrate’ landward with sea level rise-induced changes in shoreline position. The potential and ability for marsh migration is crucial to sustaining these important ecosystems and their functions for the future.Recognizing this, and with financial support from the North Atlantic Landscape Conservation Collaborative (NALCC) and other sources, a team of...
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This dataset was developed as part of the Designing Sustainble Landscapes project led by Professor Kevin McGarigal of UMass Amherst and sponsored by the North Atlantic Landscape Conservation Cooperative (https://www.fws.gov/science/catalog); for more information about the entire project see: http://www.umass.edu/landeco/research/dsl/dsl.htmlThis dataset was last updated 02/2017. The revised version incorporates the addition of a simplified version of The Nature Conservancy's Northeast lakes and ponds classification, visit https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/freshwater/Pages/Northeast-Lakes.aspx for more details.This dataset represents terrestrial...
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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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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 projections of the total average annual precipitation (mm/year) using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). Detailed documentation for all of the UMass climate datasets is available from: http://jamba.provost.ads.umass.edu/web/lcc/DSL_documentation_climate.pdf . The climate work is part of the Designing Sustainable...
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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...
Data for the NYS gallery on Data Basin
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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...
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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 projections of the total average annual precipitation (mm/year) using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical total annual precipitation expected for the year 2040. Detailed documentation for all of the UMass climate datasets is available from: http://jamba.provost.ads.umass.edu/web/lcc/DSL_documentation_climate.pdf...
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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 projections of the total average annual precipitation (mm/year) using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical total annual precipitation expected for the year 2060. Detailed documentation for all of the UMass climate datasets is available from: http://jamba.provost.ads.umass.edu/web/lcc/DSL_documentation_climate.pdf...
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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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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 (RCP8.5). The dataset is intended to represent typical growing season degree days for the year 2080 rather than the actual growing season degree days. MAP UNITS ARE THE SUM OF DEGREES THAT...
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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,...
map background search result map search result map Hydrography High Resolution, 1:24,000, Northeast Total Annual Precipitation (mm/year) for Northeast, Projected for 2050, RCP4.5, Ensemble GCM Results Total Annual Precipitation (mm/year) for Northeast, Projected for 2040, RCP8.5, Ensemble GCM Results Total Annual Precipitation (mm/year) for Northeast, Projected for 2060, RCP8.5, Ensemble GCM Results 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 Growing Season Degree Days for Northeast, Projected for 2080, RCP 8.5, Ensemble GCM Results Forest Cover Gain, 2000-2012, Northeast Predicted Annual Probability of Observing at least One Herring Gull Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Geophysical Settings, 2016 Eastern U.S. and Canada Brook Trout Probability of Occurrence, Plus 2 degrees C, Northeast U.S. Nature's Network: A Regional Conservation Design for the Northeast Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Integrating Science into Policy: Local Adaptation for Marsh Migration Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Integrating Science into Policy: Local Adaptation for Marsh Migration 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 Hydrography High Resolution, 1:24,000, Northeast Nature's Network: A Regional Conservation Design for the Northeast Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Total Annual Precipitation (mm/year) for Northeast, Projected for 2050, RCP4.5, Ensemble GCM Results Total Annual Precipitation (mm/year) for Northeast, Projected for 2040, RCP8.5, Ensemble GCM Results Total Annual Precipitation (mm/year) for Northeast, Projected for 2060, RCP8.5, Ensemble GCM Results 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 Growing Season Degree Days for Northeast, Projected for 2080, RCP 8.5, Ensemble GCM Results Brook Trout Probability of Occurrence, Plus 2 degrees C, Northeast U.S. Forest Cover Gain, 2000-2012, Northeast Geophysical Settings, 2016 Eastern U.S. and Canada