线性基础设施和相关的野生动物事故为顶级捕食者和清道夫制造了一个生态陷阱。

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-12-10 Epub Date: 2024-10-30 DOI:10.1016/j.scitotenv.2024.176934
Navinder J Singh, Michelle Etienne, Göran Spong, Frauke Ecke, Birger Hörnfeldt
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引用次数: 0

摘要

动物在选择看似有吸引力的栖息地时,可能会陷入 "生态陷阱",从而牺牲自己的健康。这种不适应行为通常是由人类对其出生地环境的快速改变造成的,例如能源和交通基础设施的建设。我们在分布广泛的顶级捕食者和清道夫--金雕(Aquila chrysaetos)身上测试了关于人类建造的线性基础设施的生态陷阱假说,金雕的活动范围横跨整个北半球。公路和铁路通过交通造成的其他物种的死亡提供了新颖而有吸引力的觅食机会,而电力线区域则提供了栖息或筑巢场所,以及从触电或碰撞致死的鸟类身上觅食的机会。如果这些表面上的机会变成了陷阱,那么这些条件可能会对鹰的数量产生负面影响。利用阶跃选择功能,我们分析了在芬诺斯坎迪亚 11 年间 74 只 GPS 跟踪的金雕(37 只成年金雕和 37 只未成年金雕)对栖息地的选择。为了评估栖息地的吸引力,我们使用了主要野生物种的野生动物交通事故统计数据;为了评估人口统计学后果,我们使用了 GPS 标记的老鹰的死亡率数据。我们的分析表明,老鹰在种群和个体水平上都会选择公路、铁路和电线等线性特征。成年老鹰和未成年老鹰都一致地选择了这些特征,而且对线性特征的选择强度随着未成年老鹰年龄的增长而增加。然而,线性特征对老鹰造成的死亡风险比其他选择栖息地高出 5.5 倍,这表明存在生态陷阱。我们讨论了这些发现对顶级食肉动物和食腐动物的保护和种群生态学的影响,以及其潜在的人口后果。为了缓解这一问题,我们紧急建议清除道路和小径上的尸体,以防止世界各地的猛禽和食腐动物陷入生态陷阱。此外,我们主张制定减少野生动物交通事故的方法和战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear infrastructure and associated wildlife accidents create an ecological trap for an apex predator and scavenger.

Animals may fall into an 'ecological trap' when they select seemingly attractive habitats at the expense of their fitness. This maladaptive behavior is often the result of rapid, human-induced changes in their natal environment, such as the construction of energy and transportation infrastructure. We tested the ecological trap hypothesis regarding human-created linear infrastructure on a widely distributed apex predator and scavenger-the Golden Eagle (Aquila chrysaetos), whose range spans the entire Northern Hemisphere. Roads and railways offer novel and attractive feeding opportunities through traffic-induced mortality of other species, while powerline areas provide perching or nesting sites and scavenging opportunities from electrocuted or collision-killed birds. These conditions may have negative demographic consequences for eagles if these apparent opportunities turn into traps. Using step selection functions, we analyzed habitat selection of 74 GPS-tracked Golden Eagles (37 adults and 37 immatures) during eleven years in Fennoscandia. To assess habitat attractiveness, we used wildlife traffic accident statistics for dominant wild species, and to evaluate demographic consequences, we used mortality data from the GPS-tagged eagles. Our analysis revealed that eagles selected linear features such as roads, railways and powerlines at both the population and individual levels. Both adult and immature eagles consistently selected these features, and the strength of selection for linear features increased with age in immature eagles. The linear features however had 5.5 times higher mortality risk for eagles than other selected habitats indicating the presence of an ecological trap. We discuss the implications of these findings for the conservation and population ecology of apex predators and scavengers, as well as their potential demographic consequences. To mitigate this issue, we urgently recommend the removal of carcasses from roads and tracks to prevent ecological traps for raptors and scavenger species worldwide. Additionally, we advocate for the development of methods and strategies to reduce wildlife traffic accidents.

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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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