Environmental Resilience Institute, Indiana University, Bloomington, IN 47405, USA
Department of Biology, Indiana University, Bloomington, IN 47405, USA.
Biol Lett. 2018 Feb;14(2). doi: 10.1098/rsbl.2017.0741.
Ongoing changes to global weather patterns and human modifications of the environment have altered the breeding and non-breeding ranges of migratory species, the timing of their migrations, and even whether they continue to migrate at all. Animal movements are arguably one of the most difficult behaviours to study, particularly in smaller birds that migrate tens to thousands of kilometres seasonally, often moving hundreds of kilometres each day. The recent miniaturization of tracking and logging devices has led to a radical transformation in our understanding of avian migratory behaviour and migratory connectivity. While advances in technology have altered the way researchers study migratory behaviour in the field, advances in techniques related to the study of physiological and genetic mechanisms underlying migratory behaviour have rarely been integrated into field studies of tracking. To predict the capacity of migrants to adjust to a changing planet, it is essential that we combine avian migration data with physiological and genetic measurements taken at key time points prior to, during and after migration.
全球天气模式的持续变化和人类对环境的改变已经改变了迁徙物种的繁殖和非繁殖范围、迁徙时间,甚至它们是否还会继续迁徙。动物的运动可以说是最难研究的行为之一,尤其是在那些季节性迁徙数十到数千公里、每天移动数百公里的小型鸟类中。最近跟踪和记录设备的微型化导致我们对鸟类迁徙行为和迁徙连通性的理解发生了根本性的转变。虽然技术的进步改变了研究人员在实地研究迁徙行为的方式,但与迁徙行为背后的生理和遗传机制研究相关的技术进步很少被整合到跟踪的实地研究中。为了预测迁徙者适应变化中地球的能力,我们必须将鸟类迁徙数据与迁徙前、迁徙中和迁徙后关键时间点采集的生理和遗传测量数据相结合。