Skip to main content
Advanced Search

Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal > Appalachian Landscape Conservation Cooperative > Projects > Ecosystem Benefits and Risks ( Show direct descendants )

25 results (32ms)   

Location

Folder
ROOT
_ScienceBase Catalog
__LC MAP - Landscape Conservation Management and Analysis Portal
___Appalachian Landscape Conservation Cooperative
____Projects
_____Ecosystem Benefits and Risks
View Results as: JSON ATOM CSV
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...
One of the basic goals of ecosystem assessment efforts is to describe the impacts of key drivers of change that place the sustained delivery of ecosystem services at risk. Some of these risk factors, such as urban growth and energy extraction, themselves provide important services, and trade-offs must be considered when they compromise other ecosystem benefits. Working towards sustainable landscapes by addressing these trade-offs is one of the great challenges in natural resource management and conservation practice. Here we summarize findings concerning key risk factors from assessment efforts in the Appalachian region.
The “Assessment and Inventory of Ecosystem Services and Environmental Threats” research project will deliver an inventory of existing ecosystem services assessments, products, and decision-support or visualization tools conducted within the Appalachian LCC boundary. The inventory will document and assess the classification, methodology used, describe priority ecosystem services and how they were identified, and provide economic valuations if available. Research will also involve a regional survey and workshops within our boundary to assemble a list of high priority economic goods and services and nonā€monetized values and benefits that are dependent on Appalachia’s natural assets while identifying the associated...
thumbnail
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...
thumbnail
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...
thumbnail
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.
thumbnail
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.
This gallery includes a collection of data which comprises the ecosystem benefits and risks within the Appalachian LCC region.
Research from the Appalachian Landscape Conservation Cooperative (LCC) and the U.S. Forest Service is integrating society’s value of ecosystems with future risks, to inform natural resource planning and management across the Appalachians and help decision makers, industry and the public adopt policies that protect and invest in these resources.
thumbnail
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...
thumbnail
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...
thumbnail
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.
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
Explore Appalachian landscapes through a collection of maps and data layers showing the “lay of the land” from an ecosystem services perspective.
thumbnail
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...


map background search result map search result map USDA Forest to Faucets Index of Insect and Disease Threat to Forests Important to Surface Drinking Water PRISM Winter Minimum Normal Temperature Normal 1981-2010 American Community Survey Population Density per Square Mile 2013 PRISM Average Normal Annual Temperature 1981-2010 PRISM Summer Maximum Normal Temperature 1981-2010 Wildland Fire The National Cohesive Strategy 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 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 Wildland Fire The National Cohesive Strategy PRISM Average Annual Normal Precipitation 1981-2010 Dominant Economic Activity USDA Economic Research Service 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 PRISM Average Normal Annual Temperature 1981-2010 PRISM Summer Maximum Normal Temperature 1981-2010 PRISM Winter Minimum Normal Temperature Normal 1981-2010