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The GAP National Terrestrial Ecosystems - Ver 3.0 is a 2011 update of the National Gap Analysis Program Land Cover Data - Version 2.2 for the conterminous U.S. The GAP National Terrestrial Ecosystems - Version 3.0 represents a highly thematically detailed land cover map of the U.S. The map legend includes types described by NatureServe's Ecological Systems Classification (Comer et al. 2002) as well as land use classes described in the National Land Cover Dataset 2011 (Homer et al. 2015). These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m x 30 m cell resolution. GAP used the best information available to create the land cover data; however GAP seeks to improve...
Categories: Data; Types: Citation, Map Service, OGC WMS Layer; Tags: Alabama, Alaska, Appalachian, Arizona, Arkansas, All tags...
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This dataset depicts Marten (Martes americana) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the increased survival in parks plus forest restoration scenario (R1; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of trapping, timber harvest, habitat restoration, and climate change on marten populations. Static habitat suitability models for marten were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for marten were created based on annual snowfall and percentage of older conifer and mixed forest. Demographic parameters were obtained from the literature and from...
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Web Mapping Service for Conservation Design, a website run by the Appalachian Landscape Conservation Cooperative
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The National Cohesive Wildland Fire Management Strategy, initiated in 2009 and finalized in 2014, provides a national vision for wildland fire management. This highly collaborative effort establishes three overarching goals, and describes stakeholder-driven processes for achieving them: (1) resilient landscapes; (2) fire-adapted communities; and (3) safe and effective wildfire response. The scientific rigor of this program was ensured with the establishment of the National Science and Analysis Team (NSAT). The main tasks of NSAT were to compile credible scientific information, data, and models to help explore national challenges and opportunities, identify a range of management options, and help set national priorities...
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Landscape Conservation Cooperatives (LCCs) are public-private partnerships composed of states, tribes, federal agencies, non-governmental organizations, universities, international jurisdictions, and others working together to address landscape and seascape scale conservation issues. LCCs inform resource management decisions to address broad-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are magnified by a rapidly changing climate. For further information go to http://lccnetwork.org. The previous 2011 LCC Network Areas data is available at https://www.sciencebase.gov/catalog/item/52f2735ee4b0a6f0bd498c2f
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Aquatic Planning Units are derived from the U.S. Geological Survey (USGS) National Hydrography Dataset (NHD)+ v. 2 catchments. They contain information used throughout the NatureScape (landscape conservation design) development. The tables include summaries of information within each catchment including predictor variables. See SI.
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Regional Climate Centers (RCC) Palmer Drought Severity Index (PDSI: drought index). Recent 10-year climatology for drought in all months, 2005-2014.Drought is one of the most consequential aspects of variation in precipitation and temperature patterns in terms of its impacts on natural ecosystems and human systems. The production of food and clean water can be strongly affected, as can forest products production, outdoor recreation, ecosystem processes such as wildland fire, and many other processes affecting ecosystem services. Having a grasp on recent ranges of variability in drought conditions can provide a context for understanding ongoing and future climate change and its impacts on ecosystem services. Although...
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The capacity of ecosystems to provide services such as carbon storage, clean water, and forest products is determined not only by variations in ecosystem properties across landscapes, but also by ecosystem dynamics over time. ForWarn is a system developed by the U.S. Forest Service to monitor vegetation change using satellite imagery for the continental United States. It provides near real-time change maps that are updated every eight days, and summaries of these data also provide long-term change maps from 2000 to the present.Based on the detection of change in vegetation productivity, the ForWarn system monitors the effects of disturbances such as wildfires, insects, diseases, drought, and other effects of weather,...
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The U.S. Energy Information Administration (EIA) provides impartial and independent data on the nation’s energy infrastructure, its sources, flows, and end uses, as well as forecasts and outlooks. Location information for specific extraction activities, as well as power plants and other supply chain components, can help reveal the regional nature of specific impacts and the often large distances between those effects and end-use drivers.This is a point dataset representing operating surface and underground coal mines in the United States in 2012. These data originate from the U.S. Energy Information Administration, Form EIA-7A “Coal Production and Preparation Report” and the U.S. Department of Labor, Mine Safety...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. The irreplacebility of the landscape was assessed to determine the importance of conservation. The number...
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In order to understand ongoing and future climate change and its impacts on ecosystem services, we must have a grasp on historical ranges of climate variability. Fortunately, detailed weather station data are available in the United States for thousands of locations over the last century. Moreover, sophisticated approaches have been developed for translating these measurements into unified datasets across the U.S., including climate estimates for locations that lack station data.The PRISM (Parameter-elevation Regressions on Independent Slopes Model) Climate Group produces such estimates from weather station data at daily, monthly, and annual time steps, incorporating data from 1895 to the present day. PRISM methods...
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In order to understand ongoing and future climate change and its impacts on ecosystem services, we must have a grasp on historical ranges of climate variability. Fortunately, detailed weather station data are available in the United States for thousands of locations over the last century. Moreover, sophisticated approaches have been developed for translating these measurements into unified datasets across the U.S., including climate estimates for locations that lack station data.The PRISM (Parameter-elevation Regressions on Independent Slopes Model) Climate Group produces such estimates from weather station data at daily, monthly, and annual time steps, incorporating data from 1895 to the present day. PRISM methods...
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling only in Gaspe (core area) plus climate change scenario (FB1; Carroll 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and...
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Landscape Conservation Cooperatives (LCCs) are public-private partnerships composed of states, tribes, federal agencies, non-governmental organizations, universities, international jurisdictions, and others working together to address landscape and seascape scale conservation issues. LCCs inform resource management decisions to address broad-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are magnified by a rapidly changing climate. For further information go to http://lccnetwork.org. The previous 2011 LCC Network Areas data is available at https://www.sciencebase.gov/catalog/item/52f2735ee4b0a6f0bd498c2f
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the population cycling across the region plus trapping scenario (C2; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and annual snowfall....
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This dataset depicts Lynx (Lynx canadensis) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the no population cycling plus trapping scenario (A2; Carrol 2007). This dataset represents one of several scenarios testing the interacting effects of population cycling, trapping, territory size, and climate change on lynx populations. Static habitat suitability models for lynx were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for lynx were created based on a logistic regression model of reported lynx locations against the proportion of the landscape in deciduous forest cover and annual snowfall. Demographic parameters...
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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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Regional Climate Centers (RCC) Palmer Drought Severity Index (PDSI: drought index). Recent 10-year climatology for drought in summer months, 2005-2014.Drought is one of the most consequential aspects of variation in precipitation and temperature patterns in terms of its impacts on natural ecosystems and human systems. The production of food and clean water can be strongly affected, as can forest products production, outdoor recreation, ecosystem processes such as wildland fire, and many other processes affecting ecosystem services. Having a grasp on recent ranges of variability in drought conditions can provide a context for understanding ongoing and future climate change and its impacts on ecosystem services. Although...


map background search result map search result map Appalachian LCC Boundary Predicted Marten Habitat in the Northern Appalachians: Increased Survival in Parks + Restoration Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Climate Change Scenario Predicted Lynx Habitat in the Northern Appalachians: Population Cycling + Trapping Scenario Predicted Lynx Habitat in the Northern Appalachians: No Population Cycling + Trapping Scenario Drought The Palmer Drought Severity Index Annual Mean 2005-2014 Drought The Palmer Drought Severity Index Winter Mean 2005-2014 ForWarn Evergreen Thrive and Decline 2000-2012 GAP/LANDFIRE National Terrestrial Ecosystems 2011 Energy Information Association U.S. Coal Mining Locations Density of upstream dams_rivers Appalachian LCC Landscape Conservation Design Phase 1 Species Richness NatureScape, Aquatic Modeling NatureScape, Integrated Planning Units PRISM Average Normal Annual Temperature 1981-2010 PRISM Summer Maximum Normal Temperature 1981-2010 Wildland Fire The National Cohesive Strategy Tennessee State Wildlife Action Plan Terrestrial Habitat Prioritization Tennessee State Wildlife Action Plan Terrestrial Habitat Prioritization Predicted Marten Habitat in the Northern Appalachians: Increased Survival in Parks + Restoration Scenario Predicted Lynx Habitat in the Northern Appalachians: Cycling in Gaspe + Climate Change Scenario Predicted Lynx Habitat in the Northern Appalachians: Population Cycling + Trapping Scenario Predicted Lynx Habitat in the Northern Appalachians: No Population Cycling + Trapping Scenario Wildland Fire The National Cohesive Strategy NatureScape, Aquatic Modeling NatureScape, Integrated Planning Units Density of upstream dams_rivers ForWarn Evergreen Thrive and Decline 2000-2012 Appalachian LCC Landscape Conservation Design Phase 1 Species Richness Drought The Palmer Drought Severity Index Annual Mean 2005-2014 Drought The Palmer Drought Severity Index Winter Mean 2005-2014 PRISM Average Normal Annual Temperature 1981-2010 PRISM Summer Maximum Normal Temperature 1981-2010 Appalachian LCC Boundary Energy Information Association U.S. Coal Mining Locations GAP/LANDFIRE National Terrestrial Ecosystems 2011