Suchergebnisse

Rarity and life history traits inform multiple dimensions of intrinsic risk to climate and environmental change and can help systematically identify at-risk species. We quantified relative geographic rarity (area of occupancy), climate niche breadth, and life history traits for 114 freshwater fishes, amphibians, and reptiles in the U.S. Pacific Northwest. Our approach leveraged presence-only, publicly available data and traits-based inference to evaluate area of occupancy, climate sensitivity (i.e., climate niche breadth), and a Rarity and Climate Sensitivity (RCS) index of all species across multiple geographic extents, grain sizes, and data types. The RCS index was relatively stable across extents, grains, and data types, with climate sensitivity differentiating species with otherwise similar areas of occupancy. We also found that species with sensitivity-associated traits (e.g., long generation time, low fecundity) were not necessarily the same species identified as at-risk with geographical approaches (small range size, small climate niche breadth). Many multispecies assessments using coarse-scale data (e.g., entire range maps or convex-hull approaches) often focus on a single dimension of intrinsic risk; others rely on data-intensive models only applicable to a few well-studied species. What remains is a need for an approach that enables multispecies, multidimensional assessment efforts. This is particularly true at regional scales, where management needs require assessments that are intermediate to coarse- and fine-scale approaches. We demonstrate that by considering multiple dimensions of intrinsic risk to climate change (range size, climate sensitivity, and traits), site-specific locality data may offer a pathway for ensuring vulnerable, understudied species do not go overlooked in conservation. ; National Science FoundationNational Science Foundation (NSF); U.S. Geological Survey (USGS)United States Geological Survey; USGS Forest and Rangeland Ecosystem Science CenterUnited States Geological Survey; U.S. Forest Service Pacific Northwest Research StationUnited States Department of Agriculture (USDA)United States Forest Service ; We thank Kathryn Ronnenberg, Justin Welty and Michelle Jeffries for assisting with the reptile records. We thank Paul Scheerer of the Oregon Department of Fish and Wildlife for providing and assisting with freshwater fish records. We also thank the collaborative community effort and National Science Foundation support that makes VertNet possible, including the principal investigators, staff, Steering Committee, and individual publishers contributing to this valuable resource. Support was provided by the Land Resource Mission Area and Mendenhall Research Fellowship Program of the U.S. Geological Survey (USGS), the USGS Forest and Rangeland Ecosystem Science Center, and the U.S. Forest Service Pacific Northwest Research Station. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. ; Public domain authored by a U.S. government employee