Department of Natural Resource Ecology & Management, Oklahoma State University, 008C Ag Hall, Stillwater, Oklahoma, 74078, USA.
Ecol Appl. 2018 Dec;28(8):2119-2129. doi: 10.1002/eap.1800. Epub 2018 Oct 1.
Wildlife collisions with human-built structures are a major source of direct anthropogenic mortality. Understanding and mitigating the impact of anthropogenic collisions on wildlife populations require unbiased mortality estimates. However, counts of collision fatalities are underestimated due to several bias sources, including scavenger removal of carcasses between fatality surveys and imperfect detection of carcasses present during surveys. These biases remain particularly understudied for bird-window collisions, the largest source of avian collision mortality. In Stillwater, Oklahoma, USA, we used bird carcasses collected during window collision monitoring to experimentally assess factors influencing scavenging and observer detection, and we employed trail cameras to characterize the scavenger community and timing of scavenging. We recorded nine scavenger species, but the domestic cat and Virginia opossum were responsible for 73% of known-species scavenging events. The most frequent scavenger species were primarily nocturnal, and 68% of scavenging events occurred at night. Scavenger species best predicted time to first scavenging event, season best predicted carcass persistence time, and both season and carcass size predicted whether any carcass remains persisted after scavenging. Our results also suggest that observer detection was influenced by substrate, with greater detection of carcasses on artificial substrates. Our findings related to scavenging timing have important implications for the unbiased estimation of collision mortality because the timing of peak scavenging relative to timing of peak mortality can substantially influence accuracy of adjusted mortality estimates. Further, the differences in correlates for time to first scavenging and time to carcass removal (i.e., persistence time) illustrate the importance of explicitly measuring these often-independent events that are frequently conflated in the anthropogenic mortality literature.
野生动物与人类建筑结构的碰撞是直接人为死亡的主要来源。了解和减轻人为碰撞对野生动物种群的影响需要进行无偏差的死亡率估计。然而,由于几种偏差来源,包括在死亡率调查之间清除尸体的食腐动物以及在调查期间未完全检测到存在的尸体,碰撞致死人数的计数被低估了。这些偏差在鸟类与窗户碰撞中仍然研究不足,这是鸟类碰撞死亡率的最大来源。在美国俄克拉荷马州的斯蒂尔沃特,我们使用在窗户碰撞监测中收集的鸟类尸体来实验性地评估影响食腐和观察者检测的因素,并使用追踪摄像机来描述食腐动物群落和食腐时间。我们记录了九个食腐物种,但家猫和弗吉尼亚负鼠负责 73%的已知物种食腐事件。最常见的食腐物种主要是夜间活动的,68%的食腐事件发生在夜间。食腐物种最能预测首次食腐事件的时间,季节最能预测尸体的持续时间,季节和尸体大小都能预测在食腐之后是否有任何尸体残留。我们的研究结果还表明,观察者的检测受到基质的影响,在人造基质上更容易检测到尸体。我们关于食腐时间的研究结果对无偏差估计碰撞死亡率具有重要意义,因为食腐高峰期与死亡率高峰期的时间关系会极大地影响调整后的死亡率估计的准确性。此外,首次食腐时间和尸体清除时间(即持续时间)的相关因素的差异说明了明确测量这些经常被人为死亡率文献混淆的独立事件的重要性。