Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal > Appalachian Landscape Conservation Cooperative > Appalachian LCC (Posted by Jessica) > Ecosystem Services Data ( Show direct descendants )
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ROOT _ScienceBase Catalog __LC MAP - Landscape Conservation Management and Analysis Portal ___Appalachian Landscape Conservation Cooperative ____Appalachian LCC (Posted by Jessica) _____Ecosystem Services Data Filters
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The 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.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: ACS,
American Community Survey,
AppLCC
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...
The 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 the U.S. Census Bureau's American Community Survey (ACS)—can help...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: ACS,
American Community Survey,
AppLCC
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...
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
PRISM
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
CMIP5
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.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: HUC,
HUC 12,
United States,
development,
disease,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
PRISM
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
PRISM
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.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: HUC,
HUC 12,
United States,
development,
disease,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
PRISM
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
CMIP5
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.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: HUC,
HUC 12,
United States,
development,
disease,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: AppLCC,
CMIP5
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