Filters: Tags: Appalachian (X)
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The Appalachian Landscape Conservation Cooperative (LCC) provided a grant to Cornell University Environmental Engineers to study how the region’s surface freshwater supply and the health of natural systems delivering this resource have been impacted and may be altered in the coming years under increasing water withdrawals.The research focuses on the Marcellus Shale region in the Central Appalachians, including portions of New York, Pennsylvania, Ohio, Maryland, West Virginia, and Virginia. In addition to considering the cumulative impacts of water withdrawals, the researchers looked at specific impacts of large water withdrawals with hydraulic fracturing in the Marcellus Shale region as one example.Datasets include...
Categories: Data;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Conservation planning,
Web Mapping Service for Conservation Design, a website run by the Appalachian Landscape Conservation Cooperative
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...
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...
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 https://www.fws.gov/science/catalog. The previous 2011 LCC Network Areas data is available at https://www.sciencebase.gov/catalog/item/52f2735ee4b0a6f0bd498c2f
Categories: Data,
Publication;
Types: ArcGIS Map Package,
ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Aleutian and Bering Sea Islands,
Appalachian,
Arctic,
California,
Caribbean,
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 https://www.fws.gov/science/catalog. The previous 2011 LCC Network Areas data is available at https://www.sciencebase.gov/catalog/item/52f2735ee4b0a6f0bd498c2f
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aleutian and Bering Sea Islands,
Appalachian,
Arctic,
California,
Caribbean,
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.
Categories: Data;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Complete,
Conservation NGOs,
Habitat priorities for terrestrial species of greatest conservation need (GCN) from the 2015 Tennessee State Wildlife Action Plan.
Categories: Data;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Data,
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;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Data,
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...
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
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;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Data,
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...
Categories: Data;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Data,
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,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
Conservation NGOs,
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....
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...
This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
Categories: Data;
Types: ArcGIS REST Map Service,
Map Service;
Tags: Alabama,
Alaska,
Aleutian and Berind Sea Islands,
Appalachian,
Arctic, Northwestern Interior Forest,
This dataset depicts Wolf (Canis lupus) habitat in the Northern Appalachians predicted using the spatially explicit population model PATCH under the projected habitat effectiveness for 2025 plus high US mortality plus moderate Canadian mortality scenario (Carroll 2003). This dataset represents one of several scenarios testing the effects of habitat effectiveness and mortality rates on wolf populations. Static habitat suitability models for wolf were fed through PATCH to predict source and sink habitat areas across the landscape. The static models for wolf were created based on current and projected habitat effectiveness, which were based in part on road density and human population density. Wolf fecundity rates...
This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was...
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