Cleasby Ian R, Bodey Thomas W, Vigfusdottir Freydis, McDonald Jenni L, McElwaine Graham, Mackie Kerry, Colhoun Kendrew, Bearhop Stuart
Centre of Ecology and Conservation, University of Exeter, Cornwall Campus, Penryn, TR10 9FE, UK.
Icelandic Institute of Natural History, Urridaholtsstraeti, 212, Gardabaer, Iceland.
J Anim Ecol. 2017 Mar;86(2):285-295. doi: 10.1111/1365-2656.12623. Epub 2017 Jan 23.
The manner in which patterns of variation and interactions among demographic rates contribute to population growth rate (λ) is key to understanding how animal populations will respond to changing climatic conditions. Migratory species are likely to be particularly sensitive to climatic conditions as they experience a range of different environments throughout their annual cycle. However, few studies have provided fully integrated demographic analyses of migratory populations in response to changing climatic conditions. Here, we employed integrated population models to demonstrate that the environmental conditions experienced during a short but critical period play a central role in the demography of a long-distance migrant, the light-bellied Brent goose (Branta bernicla hrota). Female survival was positively associated with June North Atlantic Oscillation (NAO) values, whereas male survival was not. In contrast, breeding productivity was negatively associated with June NAO, suggesting a trade-off between female survival and reproductive success. Both adult female and adult male survival showed low temporal variation, whereas there was high temporal variation in recruitment and breeding productivity. In addition, while annual population growth was positively correlated with annual breeding productivity, a sensitivity analysis revealed that population growth was most sensitive to changes in adult survival. Our results demonstrate that the environmental conditions experienced during a relatively short-time window at the start of the breeding season play a critical role in shaping the demography of a long-distant Arctic migrant. Crucially, different demographic rates responded in opposing directions to climatic variation, emphasising the need for integrated analysis of multiple demographic traits when understanding population dynamics.
人口统计学比率的变化模式和相互作用对种群增长率(λ)的影响方式,是理解动物种群将如何应对气候变化的关键。迁徙物种可能对气候条件特别敏感,因为它们在整个年度周期中会经历一系列不同的环境。然而,很少有研究针对不断变化的气候条件,对迁徙种群进行全面综合的人口统计学分析。在此,我们运用综合种群模型来证明,在一个短暂但关键的时期所经历的环境条件,在远距离迁徙鸟类——白腹黑雁(Branta bernicla hrota)的种群统计学中起着核心作用。雌性存活率与6月的北大西洋涛动(NAO)值呈正相关,而雄性存活率则不然。相反,繁殖生产力与6月的NAO呈负相关,这表明在雌性存活率和繁殖成功率之间存在权衡。成年雌性和成年雄性的存活率在时间上的变化都较小,而补充率和繁殖生产力在时间上的变化较大。此外,虽然年度种群增长与年度繁殖生产力呈正相关,但敏感性分析表明,种群增长对成年个体存活率的变化最为敏感。我们的结果表明,繁殖季节开始时在相对较短的时间窗口内所经历的环境条件,在塑造远距离北极迁徙鸟类的种群统计学方面起着关键作用。至关重要的是,不同的种群统计学比率对气候变化的反应方向相反,这突出了在理解种群动态时对多个种群统计学特征进行综合分析的必要性。