Fayet Annette L, Freeman Robin, Shoji Akiko, Boyle Dave, Kirk Holly L, Dean Ben J, Perrins Chris M, Guilford Tim
Oxford Navigation Group, Department of Zoology, University of Oxford , South Parks Road, Oxford OX1 3PS , UK .
Institute of Zoology, Zoological Society of London , Outer Circle, Regents Park, London NW1 4RY , UK , and.
Behav Ecol. 2016 Jul-Aug;27(4):1061-1072. doi: 10.1093/beheco/arw013. Epub 2016 Feb 17.
Animals can be flexible in their migration strategies, using several wintering sites or a variety of routes. The mechanisms promoting the development of these migratory patterns and their potential fitness consequences are poorly understood. Here, we address these questions by tracking the dispersive migration of a pelagic seabird, the Atlantic puffin , using over 100 complete migration tracks collected over 7 years, including repeated tracks of individuals for up to 6 consecutive years. Because puffins have high flight costs, dispersion may generate important variation in costs of migration. We investigate differences in activity budgets and energy expenditure between different strategies. We find that puffins visit a range of overwintering destinations, resulting in a diversity of migratory routes differing in energy expenditures; however, they show interindividual similarity in the timings and location of major movements. We consider 3 hypothetical mechanisms that could generate this pattern: 1) random dispersion; 2) sex segregation; and 3) intraspecific competition or differences in individual quality. First, we dismiss random dispersion because individuals show strong route fidelity between years. Second, we find that sex differences contribute to, but do not account fully for, the migratory variation observed. Third, we find significant differences in breeding success between overwintering destinations, which, together with differences in foraging levels between routes, suggest that birds of different quality may visit different destinations. Taken together, our results show that dispersive migration is a complex phenomenon that can be driven by multiple factors simultaneously and can shape a population's fitness landscape.
动物在其迁徙策略上可以很灵活,会利用多个越冬地点或多种路线。促进这些迁徙模式发展的机制及其潜在的适应性后果目前还知之甚少。在这里,我们通过追踪一种远洋海鸟——大西洋海雀的扩散性迁徙来解决这些问题,我们使用了7年收集的100多条完整的迁徙轨迹,包括一些个体连续6年的重复轨迹。由于海雀飞行成本很高,扩散可能会导致迁徙成本产生重要差异。我们研究了不同策略之间活动预算和能量消耗的差异。我们发现海雀会前往一系列越冬目的地,从而产生了能量消耗不同的多种迁徙路线;然而,它们在主要迁徙活动的时间和地点上表现出个体间的相似性。我们考虑了3种可能产生这种模式的假设机制:1)随机扩散;2)性别隔离;3)种内竞争或个体质量差异。首先,我们排除了随机扩散,因为个体在不同年份间表现出很强的路线忠诚度。其次,我们发现性别差异对观察到的迁徙变化有影响,但不能完全解释这种变化。第三,我们发现不同越冬目的地之间的繁殖成功率存在显著差异,再加上不同路线间觅食水平的差异,这表明不同质量的鸟类可能会前往不同的目的地。综合来看,我们的结果表明,扩散性迁徙是一种复杂的现象,可能同时受到多种因素驱动,并能够塑造种群的适应性景观。