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Knowing which ecosystem services are provided and who benefits from these services will allow resource managers, scientists, industries, and the public to explore new institutional, market, and policies to encourage protection of and investments in these resources. Objectives of this project are to 1) link the environmental and economic values of the region’s natural assets in a way that establishes a common language for resource managers, scientists, industry, local government and the public to substantively engage in landscape-level conservation planning and 2) to explore different development or management strategies and examine trade-offs to support improved and informed decision-making. A first step in determining...
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Information about economic activity was obtained from the National Cohesive Wildland Fire Management Strategy (cohesivefire.nemac.org). Data were derived from the USDA Economic Research Service to create a county-level measure of Dominant Economic Activity (county economic dependence). This describes the most prevalent kind of economic activity, which includes activities from farming, mining, and manufacturing to government employment and the service industry. The Appalachian economy is diverse and geographically variable; for example, manufacturing is spread throughout the region, whereas mining activities are located more centrally. Data are from 2004.The mission of the USDA Economic Research Service is to inform...
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Efforts to model and predict long-term variations in climate-based on scientific understanding of climatological processes have grown rapidly in their sophistication to the point that models can be used to develop reasonable expectations of regional climate change. This is important because our ability to assess the potential consequences of a changing climate for particular ecosystems or regions depends on having realistic expectations about the kinds and severity of change to which a region may be exposed.The fifth phase of the Coupled Model Intercomparison Project (CMIP5) is a collaborative climate modeling research effort coordinated by the World Climate Research Programme (WCRP). This is the most recent phase...
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This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This symbology for this layer is based on the index value for insect and disease threat to forests which are important to surface drinking water on a range from 1-100.
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Given the rapid environmental change experienced and expected across the Appalachians, it will be crucial to understand the vulnerabilities of valued ecosystem services to drivers of large-scale change that may threaten their sustainability. The Appalachian LCC has partnered with the US Forest Service Eastern Forest Environmental Threat Assessment Center to assess ecosystem services, and vulnerabilities to environmental risk factors, throughout the Appalachians. Synthesizing current knowledge of the diverse benefits that people derive from functioning Appalachian ecosystems will help managers, scientists, industries, and the public to establish a common language for linking the environmental and economic values...
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The Forest to Faucets dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This layer displays the percent of the HUC watershed that is threatened bu insects and disease. For further information, see the methods paper titled, “From the Forest to the Faucet: Drinking Water and Forests in the US” located at http://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml.
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The American Community Survey (ACS) is a national, publicly available survey provided by the U.S. Census Bureau that collects information about population, education, housing, economic status, and more. Planners, public officials, entrepreneurs, and researchers rely on the data collected through this survey to help understand community conditions and to support community planning efforts. This dataset shows human population density per square mile in 2013.
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This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. The results of this assessment provides information that can identify areas of interest for protecting surface drinking water quality. The spatial dataset can be incorporated into broad-scale planning, such as the State Forest Action Plans, and can be incorporated into existing decision support tools that currently lack spatial data on important areas for surface drinking water. This project also sets the groundwork for...
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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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Efforts to model and predict long-term variations in climate-based on scientific understanding of climatological processes have grown rapidly in their sophistication to the point that models can be used to develop reasonable expectations of regional climate change. This is important because our ability to assess the potential consequences of a changing climate for particular ecosystems or regions depends on having realistic expectations about the kinds and severity of change to which a region may be exposed.The fifth phase of the Coupled Model Intercomparison Project (CMIP5) is a collaborative climate modeling research effort coordinated by the World Climate Research Programme (WCRP). This is the most recent phase...
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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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Efforts to model and predict long-term variations in climate-based on scientific understanding of climatological processes have grown rapidly in their sophistication to the point that models can be used to develop reasonable expectations of regional climate change. This is important because our ability to assess the potential consequences of a changing climate for particular ecosystems or regions depends on having realistic expectations about the kinds and severity of change to which a region may be exposed.The fifth phase of the Coupled Model Intercomparison Project (CMIP5) is a collaborative climate modeling research effort coordinated by the World Climate Research Programme (WCRP). This is the most recent phase...
State Soil Geographic data (STATSGO) depict information about soil features on or near the surface of the Earth. These data are collected as part of the National Cooperative Soil Survey.This dataset is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and non-soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite...
The benefits that people derive from landscapes depend not only on what kinds of ecosystems are present, but also on who uses them and how. The ways in which people use and impact land depends upon social preferences and needs, and on economic and demographic patterns. Land use information is clearly important for understanding human relationships with ecosystem services, but it is not sufficient in itself. Social and economic data are also crucial, but they can be more challenging because they are rarely tailored to meet the needs of resource management and conservation efforts. Nonetheless, using these kinds of information to better understand how and why people interact with their environment can improve conservation...
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Using geographic information systems (GIS), we mapped housing and population counts from the decennial U.S. Census Data at block group level geography to produce a spatially explicit dataset for the coterminous U.S. We also overlaid the raw housing data with the Protected Areas Dataset (PAD version 1.1) to split census block groups into privately and publicly owned sub-blocks, thereby creating a map that more accurately locates where people and houses exist in space. This data is useful within a GIS for mapping and analysis at national, state, and local levels.
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The American Community Survey (ACS) is a national, publicly available survey provided by the U.S. Census Bureau that collects information about population, education, housing, economic status, and more. Planners, public officials, entrepreneurs, and researchers rely on the data collected through this survey to help understand community conditions and to support community planning efforts.For more information, please visit: http://applcc-ecosystemservices.org/human-landscape/economics-and-business.This socioeconomic profile contains many datasets. The dataset displayed here shows Median Household Income in 2013. Basic measures of economic status, such as those collected by ACS, can help to reveal ways in which economic...


    map background search result map search result map Ecosystem Benefits and Risks USDA Forest to Faucets Index of Insect and Disease Threat to Forests Important to Surface Drinking Water American Community Survey Socioeconomic Profile 2013 American Community Survey Population Density per Square Mile 2013 PRISM Average Normal Annual Temperature 1981-2010 PRISM Summer Maximum Normal Temperature 1981-2010 USDA Forest to Faucets Forest Importance to Drinking Water CMIP5 Future Average Annual Precipitation Normal 2031-2060 USDA Forest to Faucets Percent of HUC Threatened by Insects and Disease Dominant Economic Activity USDA Economic Research Service PRISM Average Annual Normal Precipitation 1981-2010 CMIP5 Future Average Annual Temperature 2031-2060 Block Housing 2010-Public Land Adjusted CMIP5 Projected Change in Average Annual Temperature 2031-2060 USDA Forest to Faucets Index of Insect and Disease Threat to Forests Important to Surface Drinking Water USDA Forest to Faucets Forest Importance to Drinking Water USDA Forest to Faucets Percent of HUC Threatened by Insects and Disease Block Housing 2010-Public Land Adjusted PRISM Average Annual Normal Precipitation 1981-2010 Dominant Economic Activity USDA Economic Research Service American Community Survey Socioeconomic Profile 2013 American Community Survey Population Density per Square Mile 2013 CMIP5 Future Average Annual Precipitation Normal 2031-2060 CMIP5 Future Average Annual Temperature 2031-2060 CMIP5 Projected Change in Average Annual Temperature 2031-2060 Ecosystem Benefits and Risks PRISM Average Normal Annual Temperature 1981-2010 PRISM Summer Maximum Normal Temperature 1981-2010