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Riparian Restoration Decision Support Tool Fact Sheet
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An innovative web-based tool - funded by the Appalachian Landscape Conservation Cooperative (LCC) and developed by researchers from the U.S. Forest Service and the University of Massachusetts - is allowing managers to rapidly identify high-priority riparian targets for restoration to make more resilient in preparation for changes in future climate. The Riparian Restoration Prioritization to Promote Climate Change Resilience (RPCCR) tool identifies vulnerable stream and riverbanks that lack tree cover and shade in coldwater stream habitats. By locating the best spots to plant trees in riparian zones, resource managers can provide shade that limits the amount of solar radiation heating the water and reduces the impacts from climate change. This well-established management strategy will benefit high-elevation, cold-water aquatic communities.
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Resources
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How-To Guides and Handouts
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Single County Endemic Species
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Number of endemic species at the county level throughout the Appalachian LCC region.
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Gallery: Cave and Karst Maps
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Study Overview Maps and Foundational Datasets
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Single Grid Cell Endemics
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Many aquatic and terrestrial species are geographically rare, often found in a single cave. This map dis[;ays the geographic distribution of endemics scattered throughout the Appalachian LCC region.
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Gallery: Cave and Karst Maps
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Study Overview Maps and Foundational Datasets
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Sinkhole Density
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Density of sinkholes per square kilometer throughout the Appalachian LCC region.
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Gallery: Cave and Karst Maps
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Study Overview Maps and Foundational Datasets
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Six Common Mistakes in Conservation Priority Setting
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A vast number of prioritization schemes have been developed to help conservation navigate tough decisions about the allocation of finite resources. However, the application of quantitative approaches to setting priorities in conservation frequently includes mistakes that can undermine their authors’ intention to be more rigorous and scientific in the way priorities are established and resources allocated. Drawing on well-established principles of decision science, we highlight 6 mistakes commonly associated with setting priorities for conservation: not acknowledging conservation plans are prioritizations; trying to solve an ill- defined problem; not prioritizing actions; arbitrariness; hidden value judgments; and not acknowledging risk of failure. We explain these mistakes and offer a path to help conservation planners avoid making the same mistakes in future prioritizations.
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Reports & Documents
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Software Installation Overview for Marxan Training
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Step by step instructions for installing the various software packages used during the Marxan training.
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Technical Resources
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Marxan Training Resources
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Marxan Training Software Installation Instructions
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Soil Available Water Capacity
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High values for soil available water capacity at 1 kilometer resolution throughout the Appalachian LCC region.
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Gallery: Cave and Karst Maps
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Study Overview Maps and Foundational Datasets
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Soil Climate Analysis Network (SCAN)
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The Soil Moisture/Soil Temperature (SM/ST) Pilot Project, a cooperative effort by the Resource Inventory Division and the Soil Survey Division of the Natural Resources Conservation Service, was designed to examine network communications, sensors, data collection electronics, station maintenance, data management, system interfaces, and management of a large cooperative nationwide, comprehensive soil moisture and climate information system. SCAN (Soil Climate Analysis Network) is a continuous climate monitoring program that is an outgrowth of the SM/ST Pilot Project.
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Data
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Public Data Repositories
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Soil Organic Matter and Sinkholes
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Sinkhole density (number per square kilometer) and soil organic matter (percent by weight) throughout the Appalachian LCC region.
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Gallery: Cave and Karst Maps
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Study Overview Maps and Foundational Datasets
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Soil Permeability
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High values for soil permeability at 1 kilometer resolution throughout the Appalachian LCC region.
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Gallery: Cave and Karst Maps
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Study Overview Maps and Foundational Datasets