Wieringa Jamin G, Nagel Juliet, Nelson David M, Carstens Bryan C, Gibbs H Lisle
Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH, United States of America.
Ohio Biodiversity Conservation Partnership, Columbus, OH, United States of America.
PeerJ. 2020 Oct 19;8:e10082. doi: 10.7717/peerj.10082. eCollection 2020.
The expansion of the wind energy industry has had benefits in terms of increased renewable energy production but has also led to increased mortality of migratory bats due to interactions with wind turbines. A key question that could guide bat-related management activities is identifying the geographic origin of bats killed at wind-energy facilities. Generating this information requires developing new methods for identifying the geographic sources of individual bats. Here we explore the viability of assigning geographic origin using trace element analyses of fur to infer the summer molting location of eastern red bats (). Our approach is based on the idea that the concentration of trace elements in bat fur is related through the food chain to the amount of trace elements present in the soil, which varies across large geographic scales. Specifically, we used inductively coupled plasma-mass spectrometry to determine the concentration of fourteen trace elements in fur of 126 known-origin eastern red bats to generate a basemap for assignment throughout the range of this species in eastern North America. We then compared this map to publicly available soil trace element concentrations for the U.S. and Canada, used a probabilistic framework to generate likelihood-of-origin maps for each bat, and assessed how well trace element profiles predicted the origins of these individuals. Overall, our results suggest that trace elements allow successful assignment of individual bats 80% of the time while reducing probable locations in half. Our study supports the use of trace elements to identify the geographic origin of eastern red and perhaps other migratory bats, particularly when combined with data from other biomarkers such as genetic and stable isotope data.
风能产业的扩张在增加可再生能源产量方面带来了好处,但也因与风力涡轮机的相互作用导致迁徙蝙蝠的死亡率上升。一个可以指导与蝙蝠相关管理活动的关键问题是确定在风能设施中死亡蝙蝠的地理来源。要获取这些信息,需要开发新方法来识别单个蝙蝠的地理来源。在此,我们探讨通过对东部红蝙蝠()的皮毛进行微量元素分析来推断其夏季换毛地点,从而确定地理来源的可行性。我们的方法基于这样一种观点,即蝙蝠皮毛中的微量元素浓度通过食物链与土壤中存在的微量元素量相关,而土壤中的微量元素量在大地理尺度上会有所不同。具体而言,我们使用电感耦合等离子体质谱法测定了126只已知来源的东部红蝙蝠皮毛中14种微量元素的浓度,以生成北美东部该物种整个分布范围内用于溯源的基础地图。然后,我们将此地图与美国和加拿大公开的土壤微量元素浓度进行比较,使用概率框架为每只蝙蝠生成起源可能性地图,并评估微量元素谱对这些个体起源的预测效果。总体而言,我们的结果表明,微量元素能够在80%的情况下成功确定单个蝙蝠的来源,同时将可能的地点减少一半。我们的研究支持使用微量元素来识别东部红蝙蝠以及可能其他迁徙蝙蝠的地理来源,特别是当与来自其他生物标志物(如遗传和稳定同位素数据)的数据结合使用时。