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All Conservation Design Elements identified through a multi-year conservation planning effort undertaken by the Appalachian Landscape Conservation Cooperative (LCC). These elements were identified by the program Marxan as meeting collective conservation targets. Datasets include a merged design of all five elements, individual element shapefiles, and a prioritization shapefile (Conservation Design elements outlined by the NatureScape Design that were then placed into a prioritization framework based on Margulis and Pressy 2000).
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Provisional Tennessee State Wildlife Action Plan (TN-SWAP) terrestrial habitat priorities versus results of the population growth model developed by the Tennessee Chapter of The Nature Conservancy, 2008, converted to percent projected developed landcover in the year 2040. Spatial growth model was developed using population growth projections from the University of Tennessee Center for Business and Economic Research (UT-CBER), county urban growth boundaries, 2000 census blocks, and various ancillary datasets.
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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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Results of the population growth model developed by the Tennessee Chapter of The Nature Conservancy, 2008, converted to percent projected developed landcover in the year 2040. Spatial growth model was developed using population growth projections from the University of Tennessee Center for Business and Economic Research (UT-CBER), county urban growth boundaries, 2000 census blocks, and various ancillary datasets.
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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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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 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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Terrestrial-based planning units of 1 kilometer (km) hexagons. There are about 600,000 units populated with conservation targets from around the Appalachian region. One of the targets included is the optimization from the Aquatics-only target scenario. The tables include summaries of information within each catchment including predictor variables.
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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.
The California Invasive Plant Council (Cal-IPC) developed a “risk mapping” approach that combines comprehensive distribution maps with maps of current and future suitable range to show where each (invasive) species is likely to spread. The distribution maps are based on a new dataset created through a major campaign to collect expert opinion data from local resource managers across the state. From this dataset, Cal-IPC recently completed risk maps and management recommendations for 43 invasive plant species in the Sierra Nevada. The proposed project will build an online tool for these data. The tool will allow natural resource managers to generate risk maps and summary statistics for areas they select, and to determine...
Categories: Data, Project; Tags: 2010, 2012, 2013, Applications and Tools, CA, All tags...
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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...
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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.


    map background search result map search result map Terrestrial Vulnerability, RCP 4.5 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 and Aquatic Habitat Map (DSLland), Version 3.1, Northeast U.S. 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. NatureScape, Design NatureScape, Integrated Planning Units Tennessee Projected Percent Developed in 2040 Provisional Tennessee State Wildlife Action Plan Potential Urban Growth Autumn migratory landbird stopover density radars, Northeast U.S. Weighted Index of Ecological Integrity, CT River Watershed Tennessee Projected Percent Developed in 2040 Provisional Tennessee State Wildlife Action Plan Potential Urban Growth Terrestrial Vulnerability, RCP 4.5 Terrestrial Vulnerability, RCP 8.5 Terrestrial Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 8.5 NatureScape, Design NatureScape, Integrated Planning Units Adaptive Capacity, Preliminary Autumn migratory landbird stopover density radars, Northeast U.S. Index of Ecological Integrity, 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.