In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Wind Energy Influence

Through the North American Bat Monitoring Program, United States Geological Survey (USGS) provided technical and science support to assist in U.S. Fish and Wildlife Services' Species Status Assessment ("SSA") for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA data call, provided data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, and future population status for each of the three species, and developed a demographic projection tool to evaluate future viability of each species under multiple threat scenarios. These data represent the derived species-specific index of potential wind energy influence of each NABat grid cell ("grid cell") from 2007-2020 derived based on the U.S. Wind Turbine Database after joining turbine locations to the NABat grid and aggregating at the grid cell. This metric is summarized for each grid cell and year, and reflects both the proximity of each grid cell to all wind energy locations on the landscape (with respect to the mean dispersal distance of each species in kilometers) and also the intensity (rated capacity in megawatts) at each location. It was derived based on the total rated wind energy capacities of grid cells, and the distances from grid cells with wind energy to all other NABat grid cells, the mean migration distance of each species, and an exponential dispersal kernel as a weighting function.

通过北美蝙蝠监测计划（North American Bat Monitoring Program，以下简称NABat），美国地质调查局（United States Geological Survey, USGS）提供技术与科学支持，协助美国鱼类及野生动物管理局（U.S. Fish and Wildlife Services）完成针对北方长耳蝠（Myotis septentrionalis）、小棕蝠（Myotis lucifugus）以及三色蝠（Perimyotis subflavus）的物种现状评估（Species Status Assessment, SSA）。美国地质调查局牵头推进了本次SSA的数据征集工作，为可复现且透明的分析提供数据存档服务，提供统计支持以评估三种蝙蝠各自的历史、当前及未来种群状况，并开发了种群数量预测工具，用于评估各物种在多重威胁情景下的未来生存能力。本数据集涵盖2007至2020年间，基于美国风力涡轮机数据库（U.S. Wind Turbine Database），将涡轮机位置匹配至NABat网格并按网格单元（grid cell）聚合后，得到的每个NABat网格单元对应的物种特异性潜在风能影响指数。该指数按每个网格单元与年度进行汇总，同时反映了两项核心维度：其一为每个网格单元与全域所有风能设施的空间邻近程度（以各物种的平均扩散距离，单位为千米作为参照）；其二为各风能设施的装机强度（以兆瓦为单位的额定容量）。该指数通过网格单元的总风能额定装机容量、有风能设施的网格单元与其余所有NABat网格单元的距离、各物种的平均迁移距离，以及作为权重函数的指数扩散核（exponential dispersal kernel）推导得出。