Department of Bird Migration, Swiss Ornithological Institute, 6204 Sempach, Switzerland.
School of Mathematics, University of Bristol, Bristol BS8 1UG, UK.
Proc Biol Sci. 2020 May 13;287(1926):20200622. doi: 10.1098/rspb.2020.0622. Epub 2020 May 6.
The timing of migration and migratory steps is highly relevant for fitness. Because environmental conditions vary between years, the optimal time for migration varies accordingly. Therefore, migratory animals could clearly benefit from acquiring information as to when it is the best time to migrate in a specific year. Thus, environmental predictability and variability are fundamental characteristics of migration systems but their relationship and consequence for migratory progression has remained unexplored. We develop a simple dynamic model to identify the optimal migration behaviour in environments that differ in predictability, variability and the number of intermediate stop-over sites. Our results indicate that higher predictability along migration routes enables organisms to better time migration when phenology deviates from its long-term average and thus, increases fitness. Information is particularly valuable in highly variable environments and in the final migration-step, i.e. before the destination. Furthermore, we show that a general strategy for obtaining information in relatively uninformative but variable environments is using intermediate stop-over sites that enable migrants to better predict conditions ahead. Our study contributes to a better understanding of the relationship between animal movement and environmental predictability-an important, yet underappreciated factor that strongly influences migratory progression.
迁徙时间和迁徙步骤对于适应力非常重要。由于环境条件每年都在变化,因此最佳迁徙时间也相应变化。因此,迁徙动物显然可以从获取有关在特定年份最佳迁徙时间的信息中受益。因此,环境可预测性和可变性是迁徙系统的基本特征,但它们对迁徙进展的关系和后果仍未得到探索。我们开发了一个简单的动态模型,以确定在可预测性、可变性和中间停留点数量不同的环境中最佳的迁徙行为。我们的研究结果表明,在迁徙路线上更高的可预测性可以使生物在物候与长期平均值偏离时更好地安排迁徙时间,从而提高适应力。信息在高度可变的环境中和在最后一个迁徙阶段(即目的地之前)特别有价值。此外,我们还表明,在相对信息量较少但变化较大的环境中获取信息的一般策略是使用中间停留点,这使迁徙者能够更好地预测前方的情况。我们的研究有助于更好地理解动物运动与环境可预测性之间的关系——这是一个重要但被低估的因素,强烈影响着迁徙进展。