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This layer represents least-cost (shortest-path) habitat centrality across potentiall suitable habitat for gray wolves in the Western United States. Here, least-cost centrality measures the relative role of a given portion of a potential movement path to facilitating movement of wolves across the landscape. Centrality metrics are based on graph theory. A graph is a set of nodes in which pairs of nodes can be connected by edges representing functional connections (e.g., dispersal) between the nodes. Edges can be assigned weights that represent attributes such as habitat quality. A sequence of nodes connected by edges forms a path. Landscape lattices are graphs in which every cell in a raster is treated as a node...
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This comprehensive database describes the core attributes of quantification tools developed for market-based conservation in the United States. It encompasses tools designed for compensatory mitigation, non-compensatory mitigation, and voluntary conservation/restoration programs. The dataset consists of 107 tools. Each tool's features are described using 33 attributes related to general, technical, and ecological/geographic details. This database was first published in 2018. Version 2.0 expands upon the original database by including tools developed for compensatory mitigation under the Clean Water Act section 404 regulatory program. Version 2.0 also provides updates on tool details provided in the original database....


    map background search result map search result map Western United States Gray Wolf Least-Cost Habitat Centrality Database of Biodiversity, Habitat, and Aquatic Resource Quantification Tools Used for Market-based Conservation in the United States (ver. 2.0, June 2022) Western United States Gray Wolf Least-Cost Habitat Centrality Database of Biodiversity, Habitat, and Aquatic Resource Quantification Tools Used for Market-based Conservation in the United States (ver. 2.0, June 2022)