Jeglinski Jana W E, Niven Holly I, Wanless Sarah, Barrett Robert T, Harris Mike P, Dierschke Jochen, Matthiopoulos Jason
School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.
Department of Ecoscience, University of Aarhus, Roskilde, Denmark.
Ecol Lett. 2024 Dec;27(12):e14479. doi: 10.1111/ele.14479.
Forecasting population responses to rapidly changing marine ecosystems requires mechanistic models integrating complex demographic processes, fitted to long time series, across large spatial scales. We used a Bayesian metapopulation model fit to colony census data and climatic covariates spanning 1900-2100 for all Northeast Atlantic colonies of an exemplar seabird, the Northern gannet (Morus bassanus) to investigate metapopulation dynamics under two climate scenarios. Fecundity varied non-linearly with near-surface air temperature and recruitment was depressed by sea surface temperature. We predict regime changes in density dependence as marine carrying capacities become constrained with increasing SST. Sensitivity to climate change varied across space and time, disadvantaging southwestern colonies whilst benefitting northern ones. Such sensitivity is noteworthy for a species previously assumed robust to climate change. We provide a spatial overview of climate sensitivities across a metapopulation to help with evidence-based conservation management and open the way for similar mechanistic explorations for other colonial species.
预测种群对快速变化的海洋生态系统的反应需要整合复杂种群统计学过程的机制模型,这些模型要适用于大空间尺度上的长时间序列。我们使用了一个贝叶斯集合种群模型,该模型拟合了1900年至2100年期间北大西洋东北部所有北方塘鹅(Morus bassanus)这一典型海鸟种群的殖民地普查数据和气候协变量,以研究两种气候情景下的集合种群动态。繁殖力随近地表气温呈非线性变化,补充率受到海面温度的抑制。随着海洋承载能力随着海表温度升高而受到限制,我们预测密度依赖性会发生状态变化。对气候变化的敏感性在空间和时间上各不相同,西南部的殖民地处于劣势,而北部的殖民地则受益。对于一个先前被认为对气候变化具有抗性的物种来说,这种敏感性值得关注。我们提供了一个集合种群对气候敏感性的空间概述,以帮助进行基于证据的保护管理,并为其他群居物种的类似机制探索开辟道路。