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File VCS/ICS calendar Riparian Restoration Appendix 1: Canopy Cover Statistics
Canopy Cover by State.
Located in Research / Riparian Restoration
Project A Stream Classification System for the Appalachian Landscape Conservation Cooperative
Unifying state-based stream classifications into a single consistent system, principal investigators at The Nature Conservancy developed a hierarchical classification system and map for stream and river systems for the Appalachian LCC that represents the region’s natural flowing-water aquatic habitats. This river classification information is needed to develop and implement instream flow standards and management recommendations so that environmental flows can become integral to all water management decisions from the onset.
Located in Research
File Literature Review of Freshwater Classification Frameworks
Identifying aquatic ecosystems requires a classification of stream and lake features into recognizable entities or categories. Although a number of nationally recognized terrestrial community classifications exist, the most accepted being the National Vegetation Classification System (Grossman et al. 1998), currently there is no national or international standard for classifying aquatic communities or ecosystems. Despite the lack of a national aquatic community classification, aquatic ecosystem classifications and frameworks have been developed at a variety of spatial scales. Their goal is often to reflect the distribution of aqutic biological communities. These assemblages recur across the landscape under similar habitat conditions and ecological processes (Higgins et al. 2005). The methods used to develop aquatic ecosystem classifications vary widely, as do the biotic and abiotic variables considered in the classifications. The classifications generally fall into two broad categories: 1) taxonomic or bio-ecosystem classifications and 2) environmental or geo-physical ecosystem classifications (Rowe and Barnes 1994); however some classifications combine aspects of both.
Located in Research / Stream Classification
Project ECMAScript program Synthesis of climate model downscaling products for the southeastern United States
Downscaling translates large-scale climate information to the local scale. There are several techniques for handling this process; recently, several downscaled climate products have been produced by government and academic researchers. Ecologists, conservation scientists, and practitioners require such local guidance to evaluate adaptation and conservation strategies. However, the large number of methods involved, different downscaling approaches, resolutions, time periods, and focal variables limits the ability of these users to form meaningful conclusions and evaluate the results of adaptation strategies. To address these issues, this project will summarize the methods used for downscaling, identify the metrics most appropriate for evaluation of climate model skill and usability for the ecological and conservation communities in the southeastern US, and begin a longer-term effort to evaluate the range of downscaled climate products over this geographic region.
Located in Research
Project chemical/x-pdb Assessing Forest Fragmentation from Marcellus Shale Gas Development
Expansion of drilling sites and associated infrastructure to extract natural gas from the Marcellus shale deposits has the potential to significantly reduce existing forest cover across the Marcellus field and leave what remains in a fragmented state.
Located in Research
Project C++ source code Interactive Conservation Planning for the Appalachian LCC
The Appalachian LCC is currently engaged in an effort to develop a draft regional conservation plan for the Cooperative using an interactive and iterative spatial prioritization framework. Using available data and modeling approaches that are well supported in the literature, researchers from Clemson University are developing conservation planning models that include site selection, ecological threat assessments, and broad ranging habitat and ecological connectivity analyses.
Located in Research