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This dataset contains measures of seasonal mean bird stopover densities and in seasonal mean bird density based on weather surveillance radar data from 20 radar locations in the Northeast U.S. across seven autumn migrations (15 August through 7 November of 2008-2014) [six autumn migrations for the terminal doppler weather radar (15 August through 7 November of 2009-2014)]. Data are present only in radar-sampled areas for each individual radar (see below for description on how these data are filtered). If you are interested in a continuous map of bird stopover densities for the entire region (and outside of these radar coverage areas), refer to layer “Predicted autumn migratory landbird density, 1km, Northeast U.S.”.The...
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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Northeast Region Marsh Migration is one of a suite of products from the Nature’s Network project. Based on sea level rise (SLR) analysis by NOAA, this dataset depicts potential marsh migration zones at various sea level rise scenarios from 0-6’. Identification of suitable uplands adjacent to tidal wetlands is based on topography, habitat type, land use, and development, and can be used for facilitating marsh migration through land protection and/or management. The NOAA Coastal Change Analysis Program (CCAP) mapped the initial (current) distribution of potential marshes and and other coastal land cover types. The Detailed Method for Mapping Sea Level Rise Marsh Migration provides the full methodology for the data...
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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...
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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 Ovenbird (Seiurus aurocapilla) is a common, migratory songbird that builds a nest shaped like an old-fashioned oven on the floor of forests across much of the Northeast. It has been chosen to represent the habitat needs of other species of wildlife that also use moist hardwood and mixed forests.This dataset depicts the potential capability of the landscape throughout the Northeastern United...
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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...
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This dataset was last updated 02/2017. This version includes a new tidal restrictions metric that assesses the effect of undersized culverts and bridges on tidal regime.The previous version (3.1) was updated on 05/2016 by incorporating a revised version of the land cover classification, DSLland Version 3.1, developed by UMass, which included the addition of The Nature Conservancy’s Northeast lakes and ponds classification.This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout the northeastern United States based on environmental conditions existing in approximately 2010. Ecological integrity is defined as the ability of an area (e.g., local site or landscape) to sustain...
The Northeast Regional Conservation Framework Workshop (“Albany II”) was held in Albany, New York on June 14-16, 2011 with eighty-six (86) participants, representing a cross-section of 13 state agencies, six federal agencies and 12 nongovernmental organizations or universities. The workshop was convened and sponsored jointly by the Northeast Association of Fish and Wildlife Agencies (NEAFWA) and the Landscape Conservation Cooperatives (LCCs) in the Northeast Region. The specific objectives of the workshop were to: Review, synthesize, evaluate, and present Regional Conservation Needs (RCN) and initial LCC projects completed or underway; Increase understanding and engagement by state and other conservation partners...
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The Aquatic Core Networks, Unstratified is comprised of unstratified versions of Lotic Core Areas and Lentic Core Areas. These datasets are one of two versions of aquatic core areas that are part of a suite of products from Nature’s Network (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. Although the stratified version “Aquatic Core Networks” is considered by the planning team to be the primary version for users, this unstratified version is also made available for reference and use.These and other datasets that augment or complement the Aquatic...
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Freshwater Resilience, Highest and High, Watersheds for Complex and Non-complex Stream Networks, Northeast U.S. is one of a suite of products from the Nature’s Network project (naturesnetwork.org).As growing human populations increase the pace of climate and land use changes, estimating the resilience of freshwater systems will be increasingly important for delivering effective long-term conservation. A region-wide analysis of freshwater stream networks was developed by Mark Anderson and associates at The Nature Conservancy (Anderson et al., 2013) to estimate the capacity of each network to cope with climatic and environmental change. The analysis centered on the evaluation resiliency: characteristics that may...
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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 represents the climate response index for Eastern Meadowlark. Climate response is one of several different measures of landscape capability that reflect different decisions (or assumptions) regarding how to incorporate current versus future land use and climate changes. The climate response...
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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 represents the climate response index for Moose. Climate response is one of several different measures of landscape capability that reflect different decisions (or assumptions) regarding how to incorporate current versus future land use and climate changes. The climate response index is...
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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...
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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 Connecticut River Watershed to provide habitat for Ruffed Grouse (Bonasa umbellus) based on environmental conditions existing in approximately 2010. Landscape capability integrates factors influencing climate suitability,...
Marine Mammal data: assessed, combined and converted from seasonal species sightings into 10-minute squares. Individual grids were then multiplied by 1000 and divided by seasonal effort grids previously generated by the U.S. Navy. The resulting sightings per unit effort (SPUE) grids were used to identify important areas within the Ecoregion for each species.
Point nesting data, Environmental Sensitivity Index (ESI) importance and nesting areas and sightings per unit effort (SPUE) for the three species of turtles - Green sea turtle, Leatherback turtle, and Loggerhead turtle.
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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 moose (Alces alces) is the largest member of the deer family and an iconic resident of northern forests. It has been chosen to represent the habitat needs of other species of wildlife that also use a mix of forest types and wetlands in northern New England and New York and require large areas of land to support their annual habitat needs. This dataset depicts the potential capability of the...
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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 Virginia Rail (Rallus limicola) is a medium-sized marsh bird that is more easily heard than seen. It has been chosen to represent the habitat needs of other species of wildlife that also use freshwater or slightly brackish marshes.This dataset depicts the potential capability of the landscape throughout the Northeastern United States to provide habitat for Virginia Rail, during the breeding...
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This dataset represents untransformed average annual daily traffic (AADT), or vehicles per day, throughout the Northeastern United States circa 2010. Detailed documentation for the methods to derive the dataset are available from the Ancillary Data document: http://jamba.provost.ads.umass.edu/web/LCC/AncillaryData.pdf 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 Important steps in developing the dataset include: 1) Obtained raw road traffic...
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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 maximum air temperature (degrees C) for June, July, and August using one of two IPCC greenhouse gas concentration scenarios (RCP4.5). The dataset is intended to represent typical summer temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...


map background search result map search result map Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP4.5 Road Traffic, Northeast Northeastern Aquatic Habitat Classification System, Stream Gradient Landscape Capability for Ruffed Grouse, CT River Watershed Landscape Capability for Eastern Meadowlark, CT River Watershed Landscape Capability for Moose, Version 3.0, Northeast U.S. Landscape Capability for Red-shouldered Hawk, Version 3.0, Northeast U.S. Climate Response for Moose, 2080, CT River Watershed Climate Response for Eastern Meadowlark, 2080, CT River Watershed Landscape Capability for Ovenbird, Version 3.0, Northeast U.S. Landscape Capability for Virginia Rail, Version 3.1, Northeast U.S. Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Aquatic Cores, Unstratified, Northeast 2016 Marsh Migration Zones, Northeast U.S. Freshwater Resilience, Highest and High, Watersheds for Complex and Non-complex Stream Networks, Northeast U.S Autumn migratory landbird stopover density radars, Northeast U.S. Landscape Capability for Ruffed Grouse, CT River Watershed Landscape Capability for Eastern Meadowlark, CT River Watershed Climate Response for Moose, 2080, CT River Watershed Climate Response for Eastern Meadowlark, 2080, CT River Watershed Marsh Migration Zones, Northeast U.S. Aquatic Cores, Unstratified, Northeast 2016 Freshwater Resilience, Highest and High, Watersheds for Complex and Non-complex Stream Networks, Northeast U.S Autumn migratory landbird stopover density radars, Northeast U.S. Northeastern Aquatic Habitat Classification System, Stream Gradient Landscape Capability for Moose, Version 3.0, Northeast U.S. Landscape Capability for Red-shouldered Hawk, Version 3.0, Northeast U.S. Landscape Capability for Ovenbird, Version 3.0, Northeast U.S. Landscape Capability for Virginia Rail, Version 3.1, Northeast U.S. Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Road Traffic, Northeast Mean Maximum Summer Temperature (deg. C) for Northeast, Projected for 2010-2080, RCP4.5