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File C++ source code Assessing Future Energy Development across the Appalachian LCC. Final Report
In this study funded by the Appalachian LCC, The Nature Conservancy assessed current and future energy development across the entire region. The research combined multiple layers of data on energy development trends and important natural resource and ecosystem services to give a comprehensive picture of what future energy development could look like in the Appalachians. It also shows where likely energy development areas will intersect with other significant values like intact forests, important streams, and vital ecological services such as drinking water supplies.
Located in Tools & Resources / Assessing Future Energy Development
File Shale Gas, Wind and Water: Assessing the Potential Cumulative Impacts of Energy Development on Ecosystem Services within the Marcellus Play
A Nature Conservancy study funded by the Robertson Foundation and published by the open-access Public Library of Science (PLoS) in January 2014, assessed potential impacts of future energy development on water resources in the Marcellus play region.
Located in Tools & Resources / Assessing Future Energy Development
File chemical/x-pdb Pennsylvania Energy Impacts Assessment
In 2010, TNC scientists focused on projections of how new energy development could impact natural habitats in Pennsylvania to shape strategies that avoid or minimize those impacts.
Located in Tools & Resources / Assessing Future Energy Development
Acquiring Information on the Climate Vulnerability of Appalachian Species and Habitats
A new report out of the Climate Change Vulnerability Assessment research project addresses how the Cooperative should acquire information about the climate vulnerability of Appalachian species and habitats and share with its partners.
Located in News & Events
Reviewing the Literature on Freshwater Classification Frameworks
A “Literature Review of Freshwater Classification Frameworks” by Principle Investigators at The Nature Conservancy and Oak Ridge National Laboratory reviewed aquatic and hydrological classifications and frameworks that have been developed at a variety of spatial scales and evaluates which could be applied for use by the Cooperative.
Located in News & Events
File Development of a Spatially Explicit Surface Coal Mining Predictive Model
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
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
File Alternatives for Climate Change Vulnerability Assessment Report to the Appalachian LCC
How should the Appalachian LCC acquire information about the vulnerability of Appalachian species and habitats to climate change to share with its partners? This report summarizes the findings and recommendations of a seven-member Expert Panel that sought to answer this question identified as a major research priority. The Panel addressed three aspects of the question: the selection of species and habitats to assess, approaches to vulnerability assessment, and the availability of downscaled climate data.
Located in Research / Species and Habitat Vulnerability Assessments of Appalachian Species and Habitats
File Riparian Prioritization and Status Assessment for Climate Change Resilience of Coldwater Stream Habitats within the Appalachian and Northeastern Regions
Among a host of other critical ecosystem functions, intact riparian forests can help to reduce vulnerability of coldwater stream habitats to warming regional temperatures. Restoring and conserving these forests can therefore be an important part of regional and landscape-scale conservation plans, but managers need science and decision-support tools to help determine when these actions will be most effective. To help fill this need, we developed the Riparian Prioritization for Climate Change Resilience (RPCCR) web-based decision support tool to quickly and easily identify, based on current riparian cover and predicted vulnerability to air temperature warming, sites that are priority candidates for riparian restoration and conservation.
Located in Research / Riparian Restoration
File Report: Riparian Prioritization and Status Assessment for Climate Change Resilience of Coldwater Stream Habitats within the Appalachian and Northeastern Regions
Among a host of other critical ecosystem functions, intact riparian forests can help to reduce vulnerability of coldwater stream habitats to warming regional temperatures. Restoring and conserving these forests can therefore be an important part of regional and landscape-scale conservation plans, but managers need science and decision-support tools to help determine when these actions will be most effective. To help fill this need, we developed the Riparian Prioritization for Climate Change Resilience (RPCCR) web-based decision support tool to quickly and easily identify, based on current riparian cover and predicted vulnerability to air temperature warming, sites that are priority candidates for riparian restoration and conservation.
Located in Tools & Resources / Riparian Restoration Decision Support Tool