Return to Wildland Fire
Return to Northern Bobwhite site
Return to Working Lands for Wildlife site
Return to Working Lands for Wildlife site
Return to SE Firemap
Return to the Landscape Partnership Literature Gateway Website
RETURN TO LANDSCAPE PARTNERSHIP SITE
return to main site

Skip to content. | Skip to navigation

Sections

Personal tools

You are here: Home

Search results

RSS Subscribe to an always-updated RSS feed.

29 items matching your search terms.
Filter the results.
Item type
























New items since



Sort by relevance · date (newest first) · alphabetically
File Development of a Spatially Explicit Surface Coal Mining Predictive Model
by Michael P. Strager, Jacquelyn M. Strager, Wesley Burnett, Aaron E. Maxwell, — published Nov 19, 2014 — last modified Jul 23, 2015 03:13 PM — filed under: , , , ,
The goal of this project was to create a spatially explicit 1km2 grid cell model for the Appalachian Landscape Conservation Cooperative (Figure 1) predicting where surface coal mining is likely to occur in in a projected future time period, under two different scenarios. To accomplish this goal we combined GIS spatial analysis, a Random Forests predictive model, and future mining buildout scenarios. This report provides a detailed methodology of our approach and discussion of our results.
Located in Tools & Resources / Assessing Future Energy Development
File Development of a Spatially Explicit Surface Coal Mining Predictive Model
by Michael P. Strager, Jacquelyn M. Strager, Wesley Burnett, Aaron E. Maxwell, — published Nov 19, 2014 — last modified Oct 18, 2017 02:32 PM — filed under: , , , , ,
The goal of this project was to create a spatially explicit 1km2 grid cell model for the Appalachian Landscape Conservation Cooperative (Figure 1) predicting where surface coal mining is likely to occur in in a projected future time period, under two different scenarios. To accomplish this goal we combined GIS spatial analysis, a Random Forests predictive model, and future mining buildout scenarios. This report provides a detailed methodology of our approach and discussion of our results.
Located in Research / … / Workspace / Deliverables
Downscaling Scenarios of Climate Change Project to Map Entire Appalachian LCC Region
by Matthew Cimitile — published Sep 13, 2013 — filed under: , , ,
A DOI Southeast Climate Science Center funded project will be evaluating the latest generation of global climate models to generate scenarios of future change to climate, hydrology, and vegetation for the Southeastern U.S. as well as the entire range of the Appalachian LCC.
Located in News & Events
Project Environmental Flows from Water Withdrawals in the Marcellus Shale Region
by Matthew Cimitile — published Nov 28, 2012 — last modified Jul 13, 2016 11:04 AM — filed under: , , , , , , ,
The Appalachian LCC collaborated with Cornell University to study the environmental impacts of water withdrawals in the Central Appalachian region. The rivers and streams of the Central Appalachians are home to more than 200 species of fish and other aquatic life. They also provide a reliable source of drinking water, recreational opportunities and associated economic benefits to people living in large cities and surrounding communities. This research looks at 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. It focuses on the Marcellus Shale region in the Central Appalachians, including portions of NY, PA, OH, MD, WV and VA.
Located in Research
Project Evaluating Effect of Climate Change on River Flows in the Clinch River Basin
by Matthew Cimitile — published Aug 21, 2013 — last modified Jun 02, 2025 01:11 PM — filed under: , , , ,
A new project by the U.S. Geological Survey is evaluating the potential cascading effects to river flows and quality aquatic habitat due to changes in climate within an ecologically important area of the Appalachian LCC. A greater understanding of likely flow changes within the Virginia portion of the Clinch River Basin will allow managers to better respond to alterations and degradation of physical habitat. Information and results from this study will also provide managers with methods to be applied throughout the Appalachian LCC region. (Photo by Virginia Department of Game and Inland Fisheries)
Located in Research
Project Impact of Urbanization on Priority Bird Populations
by Matthew Cimitile — published May 10, 2013 — last modified Aug 22, 2014 10:09 AM — filed under: , , ,
25 bird species models were developed to determine the sensitivity of priority bird species populations to urbanization.
Located in Research
Person chemical/x-pdb Laurent, Ed
by admin — published Oct 02, 2012 — last modified Aug 01, 2019 05:19 AM — filed under: , , , , , , , , , , , , ,
Located in Expertise Search
Person Lee, Danny
by Web Editor — published Feb 21, 2012 — last modified Jun 29, 2022 06:12 PM — filed under: , , , , , , ,
Danny is Director of the Eastern Forest Environmental Threat Assessment Center of the USDA Forest Service's Southern Research Station in Asheville, NC. He lead a diverse team of reearchers working to develop tools and information needed to detect, assess, and predict environmental treats to eastern forests.
Located in Expertise Search
Reviewing Existing Tools and Data on Hydrologic and Ecologic Flow Models
by Matthew Cimitile — published Dec 11, 2014 — last modified Jun 02, 2025 01:11 PM — filed under: , , , ,
The Aquatic Ecological Flows project reviewed existing tools and gathered available data within the project area on hydrologic and ecological flow models that would be suitable to use for the region.
Located in News & Events
Reviewing Studies of Caves and Subterranean Biodiversity
by Matthew Cimitile — published Dec 11, 2014 — last modified May 14, 2025 07:51 PM — filed under: , , , ,
A status review of studies from the cave and karst classification and mapping research project examined an array of research regarding cave environments, cave/karst biodiversity, and previous techniques for mapping and modeling such ecosystems.
Located in News & Events