Yanco Scott W, Rutz Christian, Abrahms Briana, Cooper Nathan W, Marra Peter P, Mueller Thomas, Weeks Brian C, Wikelski Martin, Oliver Ruth Y
School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA.
Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK.
Trends Ecol Evol. 2025 Jan;40(1):47-56. doi: 10.1016/j.tree.2024.09.008. Epub 2024 Nov 5.
As biodiversity loss continues, targeted conservation interventions are increasingly necessary. Stemming species loss requires mechanistic understanding of the processes governing population dynamics. However, this information is unavailable for most animals because it requires data that are difficult to collect using traditional methods. Advances in animal tracking technology have generated an avalanche of high-resolution observations for a growing list of species around the globe. To date, most research using these data has focused on questions about animal behavior, with less emphasis on population processes. Here, we argue that tracking data are uniquely poised to bring powerful new insights to the urgent, global problem of halting species extinctions by revealing when, where, how, and why populations are changing.
随着生物多样性丧失的持续,针对性的保护干预措施变得越来越必要。阻止物种丧失需要对控制种群动态的过程有深入的机制理解。然而,对于大多数动物来说,这些信息是无法获取的,因为这需要使用传统方法难以收集的数据。动物追踪技术的进步为全球越来越多的物种产生了大量高分辨率观测数据。迄今为止,大多数使用这些数据的研究都集中在动物行为问题上,而对种群过程的关注较少。在这里,我们认为追踪数据具有独特的优势,能够通过揭示种群何时、何地、如何以及为何发生变化,为阻止物种灭绝这一紧迫的全球问题带来强大的新见解。