变化世界中的鸟类迁徙时钟

Barbara Helm, Miriam Liedvogel
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摘要

鸟类的长途迁徙需要精细的程序设计,以协调鸟类在年度时间尺度和大陆空间尺度上的迁徙。由于长距离迁徙通常会预测未来的环境条件,因此程序设计尤为重要。因此,迁徙一直是时间生物学特别关注的问题。人工饲养研究利用候鸟在迁徙季节转为夜行(即迁徙躁动)这一替代现象,揭示了候鸟的周期性和昼夜节律调节能力,以及与生俱来的方向感。得益于追踪技术的快速发展,来自自由飞行鸟类的详细信息,包括年周期数据和行为图,现在可以将这种机制背景与野生鸟类的行为联系起来。同样,基因组学方法也开始揭示促进迁徙的多种生理途径。尽管取得了这些进展,但人们仍然不清楚迁徙计划是如何与迁徙途中所经历的特定环境条件相结合的。随着时间环境的快速人为改变,这些知识的重要性迫在眉睫。迁徙鸟类作为一个群体并不能很好地应对这些变化,但有些物种在行为和基因层面上却表现出显著的调整。需要开展综合研究计划和跨学科合作,以了解候鸟对环境变化的各种反应,更广泛地说,了解自然条件下定时计划的运作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Avian migration clocks in a changing world

Avian migration clocks in a changing world

Avian long-distance migration requires refined programming to orchestrate the birds’ movements on annual temporal and continental spatial scales. Programming is particularly important as long-distance movements typically anticipate future environmental conditions. Hence, migration has long been of particular interest in chronobiology. Captivity studies using a proxy, the shift to nocturnality during migration seasons (i.e., migratory restlessness), have revealed circannual and circadian regulation, as well as an innate sense of direction. Thanks to rapid development of tracking technology, detailed information from free-flying birds, including annual-cycle data and actograms, now allows relating this mechanistic background to behaviour in the wild. Likewise, genomic approaches begin to unravel the many physiological pathways that contribute to migration. Despite these advances, it is still unclear how migration programmes are integrated with specific environmental conditions experienced during the journey. Such knowledge is imminently important as temporal environments undergo rapid anthropogenic modification. Migratory birds as a group are not dealing well with the changes, yet some species show remarkable adjustments at behavioural and genetic levels. Integrated research programmes and interdisciplinary collaborations are needed to understand the range of responses of migratory birds to environmental change, and more broadly, the functioning of timing programmes under natural conditions.

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