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"Bird Conservation Regions (BCRs) are ecologically distinct regions in North America with similar bird communities, habitats, and resource management issues. They are based on the scale-flexible hierarchical framework of nested ecological units delineated by the Commission for Environmental Cooperation (CEC). These ecoregions encompass areas that are similar in their biotic (e.g., plant and wildlife) and abiotic (e.g., soils, drainage patterns, temperature, and annual precipitation) characteristics. BCRs may be partitioned into smaller ecological units when finer scale conservation planning, implementation, and evaluation are necessary. Conversely, BCRs may be aggregated to facilitate conservation partnerships...
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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...
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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...
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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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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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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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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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This dataset represents a 5 year average, November to March 2007/2008 - 2011/2012, snow depth in millimeters. This data set contains output from the NOAA National Weather Service's National Operational Hydrologic Remote Sensing Center (NOHRSC) SNOw Data Assimilation System (SNODAS). SNODAS is a modeling and data assimilation system developed by NOHRSC to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis. The aim of SNODAS is to provide a physically consistent framework to integrate snow data from satellite, airborne platforms, and ground stations with model estimates of snow cover (Carroll et al. 2001). SNODAS includes procedures to ingest and...
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An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.
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(This dataset displays the land facet elevation class) Land facets are a primary component in TNC’s analysis of site resilience to climate change. Their inclusion is based on the assumption that preservation of representative examples of the geophysical ‘Stage’ (ie., topo-edaphic factors) results in protection of a wider variety of species (the ‘Players’). These data represent a land facet classification created for the Pacific Northwest Landscape Resilience project. Each Land Facet has been stratified by terrestrial ecoregions - essentially defining each combination of soil order, elevation zone and slope class as unique from that same combination in another ecoregion. A full description of the development of...
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This dataset represents aspect, the horizontal direction the mountain slope faces, for the Northeast, including Canada. The cool aspect represents the North-facing slope and the warm aspect represents the South-facing slope. This dataset is derived from the following source: 30 meter Digital Elevation Model (DEM) for the Northeast (projected to NAD Albers 83) that was created by mosaicing two datasets: 1. U.S. Geological Survey's (USGS) 30 meter National Elevation Dataset (NED) , ~1 arc-second data that is updated over large areas by integrating the 10 meter or better source data (where available), re-sampled to 1 arc-second. 2. The Canadian Digital Elevation Data, Level 1 (CDED1) The Center of Topographic Information...
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This dataset was last updated 05/2016. This version was updated using DSLland Version 3.1. The update to DSLland Version 3.1 from Version 3.0 is the addition of a lakes and ponds classification. This dataset depicts the ecological integrity of locations (represented by 30 m grid cells) throughout New York State 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 important ecological functions over the long term. In particular, the functions include the long-term ability to support biodiversity and the ecosystem processes necessary to sustain biodiversity. The Index of Ecological Integrity (IEI) is...
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Nature’s Network Conservation Design depicts an interconnected network of lands and waters that, if protected, will support a diversity of fish, wildlife, and natural resources that the people of the Northeast and Mid-Atlantic region depend upon. This map serves as the “cover page” for the Nature’s Network (naturesnetwork.org) suite of products: it outlines some of the most important natural areas in the region and provides an entry point to learn more about the information used to identify them. The Conservation Design represents a combination of three Nature’s Network products: 1) the terrestrial core-connector network, 2) aquatic core areas, and 3) core habitat for imperiled species. The Terrestrial Core-connector...
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A spatial dataset of public and private lands and waters secured by a conservation situation that includes an explicit level of security from future conversion and current incompatible uses.For more information on TNC's Secured Lands project visit: www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/reportsdata/terrestrial/secured/Pages/default.aspx The list of sources for this dataset can be found in the attached word document. The full report on the status and condition of the northeastern natural landscapes, under all levels of protection: https://www.conservationgateway.org/ConservationByGeography/NorthAmerica/UnitedStates/edc/Documents/Conservation-Status-of-Fish-Wildlife-and-Natural-Habitats.pdf...
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We have defined resilience as a function of both a site’s diversity of topoclimates and the site’s ability to support species movement, or terrestrial landscape permeability. Here, we posit that topoclimates provide species localized refugia from the direct effects of a changing climate, whereas landscape permeability reflects the ability of the landscape mosaic to facilitate terrestrial species movement to and between topoclimates as they shift in response to their respective climatic envelopes.90 m topoclimate data, scaled from 0.2 – 1, were multiplied with terrestrial landscape permeability data, scaled from 0 – 1, to generate a resilience value for every 90 m cell across the project area. A full description...
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We represent vulnerability as matrix that relates impacts with adaptive capacity. Vulnerability is high when impact is high and adaptive capacity is low. Vulnerability is moderate when either the impact is high and adaptive capacity is high, or if impact is low and adaptive capacity is low. Vulnerability is low when impact is low and adaptive capacity is high. We represent these conceptually as categorical for ease of discussion, but in reality there is continuum of vulnerabilities, and a different adaptation strategies and likely conservation actions, depending on the characteristics of the vulnerability.
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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 weighted index of ecological integrity (IEI), which is a measure of relative intactness (i.e., freedom from human modifications and disturbance) and resiliency to environmental change (e.g., as caused by disturbance and climate change). Raw IEI is a composite index derived...
map background search result map search result map Average November-March Snow Depth (mm), Northeast Bedrock Geology, Northern Appalachians/Acadians Secured Lands, 2012, Northeast Landforms, Northern Appalachians Aspect, Northeast Forest Cover Gain, 2000-2012, Northeast Terrestrial Vulnerability, RCP 8.5 Terrestrial Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 8.5 Adaptive Capacity, Preliminary Weighted Index of Ecological Integrity, CT River Watershed Terrestrial Landscape Resilience to Climate Change (90 m) Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Terrestrial Resilience, New York State Index of Ecological Integrity, New York State Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Nature’s Network Conservation Design, Northeast U.S. Autumn migratory landbird stopover density radars, Northeast U.S. Weighted Index of Ecological Integrity, CT River Watershed Terrestrial Vulnerability, RCP 8.5 Terrestrial Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 8.5 Adaptive Capacity, Preliminary Autumn migratory landbird stopover density radars, Northeast U.S. Index of Ecological Integrity, New York State Terrestrial Resilience, New York State Terrestrial and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. Index of Ecological Integrity, Stratified by Ecosystem, Region-wide, Version 3.2, Northeast U.S. Nature’s Network Conservation Design, Northeast U.S. Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Terrestrial Landscape Resilience to Climate Change (90 m) Forest Cover Gain, 2000-2012, Northeast Aspect, Northeast Landforms, Northern Appalachians Bedrock Geology, Northern Appalachians/Acadians Average November-March Snow Depth (mm), Northeast Secured Lands, 2012, Northeast