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File PDF document Amid Worrisome Signs of Warming, ‘Climate Fatigue’ Sets In
As scientists debate whether climate is changing faster than anticipated, some worry that a drumbeat of dire warnings may be helping to erode U.S. public concerns about global warming
Located in Resources / Climate Science Documents
Appalachian Energy Forecast Model
This web-based map tool of the energy assessment combines multiple layers of data on energy development trends and important natural resource and ecosystem services, to give a more comprehensive picture of what potential energy development could look like in the Appalachians. The tool shows where energy development is most likely to occur and indicates areas where such development may intersect with other significant values like intact forests, important streams, and vital ecological services such as drinking water supplies.
File PDF document Are there basic physical constraints on future anthropogenic emissions of carbon dioxide?
Here, it is shown both theoretically and observationally how the evolution of the human system can be considered from a surprisingly simple thermodynamic perspective in which it is unnecessary to explicitly model two of the emissions drivers: population and standard of living. Specifically, the human system grows through a self-perpetuating feedback loop in which the consumption rate of primary energy resources stays tied to the historical accumulation of global economic production—or p × g—through a time-independent factor of 9.7 ± 0.3 mW per inflation-adjusted 1990 US dollar. This important constraint, and the fact that f and c have historically varied rather slowly, points towards substantially narrowed visions of future emissions scenarios for implementation in GCMs.
Located in Resources / Climate Science Documents
File Troff document Assessing Future Energy Development Fact Sheet
Provides a general overview of the need for the Energy Assessment research, the major products and findings that came out of the project, and the relevance of the study, models, and tools to the resource management community.
Located in Resources / How-To Guides and Handouts
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
Assessing Future Energy Development across the Appalachians
The Nature Conservancy - with support from the Appalachian LCC - has completed a study to assist policy makers, land management agencies, and industry in assessing potential future energy development and how that may overlap with biological and ecological values.
Located in Tools
Assessing Future Energy Development across the Appalachians
The Nature Conservancy - with support from the FWS - has completed a study to assist policy makers, land management agencies, and industry in assessing potential future energy development and how that may overlap with biological and ecological values.
Located in Tools & Resources
File C++ source code Assessing Future Impacts of Energy Extraction in the Appalachian LCC
4th Quarter 2013 Progress report
Located in Research / / Quarterly Reports Folder / Q4 2013 Reporting Materials and Reviews
File Coal Development Probability
This map depicts the future probability of development for Coal throughout the Appalachian LCC.
Located in Planning In Practice / Funded Project Maps
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