Hale Amanda M, Hein Cris D, Straw Bethany R
Department of Biology, Texas Christian University, Fort Worth, TX 76129, USA.
National Renewable Energy Laboratory, Arvada, CO 80007, USA.
Animals (Basel). 2021 Dec 30;12(1):81. doi: 10.3390/ani12010081.
Wind turbine-related mortality may pose a population-level threat for migratory tree-roosting bats, such as the hoary bat () in North America. These species are dispersed within their range, making it impractical to estimate census populations size using traditional survey methods. Nonetheless, understanding population size and trends is essential for evaluating and mitigating risk from wind turbine mortality. Using various sampling techniques, including systematic acoustic sampling and genetic analyses, we argue that building a weight of evidence regarding bat population status and trends is possible to (1) assess the sustainability of mortality associated with wind turbines; (2) determine the level of mitigation required; and (3) evaluate the effectiveness of mitigation measures to ensure population viability for these species. Long-term, systematic data collection remains the most viable option for reducing uncertainty regarding population trends for migratory tree-roosting bats. We recommend collecting acoustic data using the statistically robust North American Bat Monitoring Program (NABat) protocols and that genetic diversity is monitored at repeated time intervals to show species trends. There are no short-term actions to resolve these population-level questions; however, we discuss opportunities for relatively short-term investments that will lead to long-term success in reducing uncertainty.
与风力涡轮机相关的死亡可能对迁徙性树栖蝙蝠构成种群层面的威胁,比如北美洲的霜蝠()。这些物种分布在其活动范围内,使用传统调查方法来估计种群数量规模并不实际。尽管如此,了解种群规模和趋势对于评估和减轻风力涡轮机造成的死亡风险至关重要。通过使用各种采样技术,包括系统声学采样和基因分析,我们认为有可能建立关于蝙蝠种群状况和趋势的证据权重,以便:(1)评估与风力涡轮机相关的死亡的可持续性;(2)确定所需的缓解水平;(3)评估缓解措施的有效性,以确保这些物种的种群生存能力。长期、系统的数据收集仍然是减少迁徙性树栖蝙蝠种群趋势不确定性的最可行选择。我们建议使用统计上可靠的北美蝙蝠监测计划(NABat)协议收集声学数据,并定期监测遗传多样性以显示物种趋势。目前没有短期行动来解决这些种群层面的问题;然而,我们讨论了相对短期投资的机会,这些投资将带来长期成功,以减少不确定性。