Department of Biology, University of Florida, Gainesville, Florida, USA.
Forest and Rangeland Ecosystem Science Center, U.S. Geological Survey, Boise, Idaho, USA.
Conserv Biol. 2024 Apr;38(2):e14191. doi: 10.1111/cobi.14191. Epub 2024 Jan 5.
Bird populations are declining globally. Wind and solar energy can reduce emissions of fossil fuels that drive anthropogenic climate change, yet renewable-energy production represents a potential threat to bird species. Surveys to assess potential effects at renewable-energy facilities are exclusively local, and the geographic extent encompassed by birds killed at these facilities is largely unknown, which creates challenges for minimizing and mitigating the population-level and cumulative effects of these fatalities. We performed geospatial analyses of stable hydrogen isotope data obtained from feathers of 871 individuals of 24 bird species found dead at solar- and wind-energy facilities in California (USA). Most species had individuals with a mix of origins, ranging from 23% to 98% nonlocal. Mean minimum distances to areas of likely origin for nonlocal individuals were as close as 97 to >1250 km, and these minimum distances were larger for species found at solar-energy facilities in deserts than at wind-energy facilities in grasslands (Cohen's d = 6.5). Fatalities were drawn from an estimated 30-100% of species' desingated ranges, and this percentage was significantly smaller for species with large ranges found at wind facilities (Pearson's r = -0.67). Temporal patterns in the geographic origin of fatalities suggested that migratory movements and nonmigratory movements, such as dispersal and nomadism, influence exposure to fatality risk for these birds. Our results illustrate the power of using stable isotope data to assess the geographic extent of renewable-energy fatalities on birds. As the buildout of renewable-energy facilities continues, accurate assessment of the geographic footprint of wildlife fatalities can be used to inform compensatory mitigation for their population-level and cumulative effects.
鸟类种群在全球范围内减少。风能和太阳能可以减少推动人为气候变化的化石燃料排放,但可再生能源的生产对鸟类物种构成潜在威胁。评估可再生能源设施潜在影响的调查仅限于当地,而在这些设施中丧生的鸟类所涵盖的地理范围在很大程度上是未知的,这给最大限度地减少和缓解这些死亡事件对种群水平和累积效应带来了挑战。我们对在加利福尼亚州(美国)的太阳能和风力发电设施发现死亡的 24 种鸟类的 871 只个体的羽毛中获得的稳定氢同位素数据进行了地理空间分析。大多数物种的个体都有来自不同来源的混合,范围从 23%到 98%的非本地。非本地个体可能起源地的最小平均距离近至 97 至 >1250 公里,而在沙漠中的太阳能设施中发现的物种比在草原中的风力设施中发现的物种的最小距离更大(Cohen's d = 6.5)。死亡率来自估计的 30-100%的物种指定范围,而在风力设施中发现的范围较大的物种的这一百分比明显较小(Pearson's r = -0.67)。致命事件的地理起源的时间模式表明,迁徙和非迁徙运动,如扩散和游牧,影响了这些鸟类暴露于致死风险的程度。我们的结果说明了利用稳定同位素数据评估鸟类可再生能源致死事件的地理范围的强大功能。随着可再生能源设施的建设继续进行,可以准确评估野生动物致死事件的地理足迹,以便为其种群水平和累积效应提供补偿性缓解。