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Climate Change Vulnerability Assessments Project Update
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This presentation from Lesley Sneddon of NatureServe provides an update to the Steering Committee on a Appalachian LCC funded research project. Research is compiling climate change vulnerability assessments and other relevant information on vulnerable species and habitats, discerning the various methodologies and criteria used in these assessments, and using a team of expert peer reviewers to recommend the most efficient, effective, and appropriate methods for adoption by the Appalachian LCC for conservation and adaptation planning. The recommended method will then be deployed, resulting in vulnerability assessments for a suite of key species/habitats selected in consultation with partners of the Appalachian LCC.
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Cooperative
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Past SC Meetings and Materials
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Steering Committee Call 3/6/14
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Climate Change Vulnerability
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New climate change vulnerability assessments for 41 species and 3 habitats in the Appalachians are now available. The conservation community can view and search each of these assessments by vulnerability scores, conservation status ranks, state and subregion of assessment, and higher taxonomy. In addition, principle investigators NatureServe compiled the results of 700 species assessments previously completed by other researchers as well as assessments on several habitats.
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Vulnerability
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Climate Mapping for Resilience and Adaptation (CMRA) Portal
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The Climate Mapping for Resilience and Adaptation (CMRA) portal, an easily accessible and interactive geospatial website, will help federal, state, local and tribal governments as well as non-profit organizations learn about climate hazards impacting their communities.
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Resources
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Climate Links
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College of Environmental Science and Forestry at the State University of New York
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The College of Environmental Science and Forestry at the State University of New York advances knowledge and skills to promote the leadership necessary for the stewardship of both the natural and designed environments.
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LP Members
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Organizations Search
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Comparing Remote Sensing and Field-Based Approaches to Estimate Ladder Fuels and Predict Wildfire Burn Severity
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A comparative study on remote sensing and field-based approaches to estimate ladder fuel density. Can densities from different approaches predict wildfire burn severity?
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Resources
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Research
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Products
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Connecting Fuels Treatments in the Salish Mountains and Whitefish Range
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This landscape-scale fuels reduction project targets connecting 25 miles of cross boundary fuel reduction treatments within the rapidly expanding wildland urban interface (WUI) and communities at risk of catastrophic wildfire near the Salish Mountains west of Kalispell and north to the Whitefish Range.
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Projects
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Fire-Community & Infrastructure
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Data Needs Assessment
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The Data Needs Assessment research project was undertaken to review the variety of resources on conservation planning to provide packages of products, data, and identified data gaps to improve conservation planning in the Appalachian LCC. A suite of core conservation planning products and data from principal investigators at Clemson University are now available to the Cooperative.
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Research
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Data Needs Assessment Research Project Update
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This presentation from Dr. Robert Baldwin of Clemson University provides an update to the Steering Committee on the Appalachian LCC funded research project. The Data Needs Assessment project is evaluating existing spatial data, assembling public data in geodatabase, defining conservation planning tasks that can be accomplished, identifying problems to address if data gaps are filled, interpreting uses of data, and conducting analysis of ongoing planning efforts.
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Cooperative
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Past SC Meetings and Materials
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Steering Committee Call 3/6/14
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Data Needs Assessment Research Delivers Suite of Conservation Planning Products
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The Data Needs Assessment research project was undertaken to review conservation planning tools, datasets, and methods to provide packages of products, data, and identified data gaps to improve conservation planning in the Appalachian LCC region.
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News & Events
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Development of a Spatially Explicit Surface Coal Mining Predictive Model
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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.
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Tools & Resources
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Assessing Future Energy Development