Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, OX1 3SZ, UK.
Department of Mathematical Sciences and Centre for Biodiversity Dynamics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Ecol Lett. 2020 Dec;23(12):1766-1775. doi: 10.1111/ele.13603. Epub 2020 Sep 25.
Climate change has been shown to induce shifts in the timing of life-history events. As a result, interactions between species can become disrupted, with potentially detrimental effects. Predicting these consequences has proven challenging. We apply structured population models to a well-characterised great tit-caterpillar model system and identify thresholds of temporal asynchrony, beyond which the predator population will rapidly go extinct. Our model suggests that phenotypic plasticity in predator breeding timing initially maintains temporal synchrony in the face of environmental change. However, under projections of climate change, predator plasticity was insufficient to keep pace with prey phenology. Directional evolution then accelerated, but could not prevent mismatch. Once predator phenology lagged behind prey by more than 24 days, rapid extinction was inevitable, despite previously stable population dynamics. Our projections suggest that current population stability could be masking a route to population collapse, if high greenhouse gas emissions continue.
气候变化已被证明会引起生物史事件发生时间的转变。因此,物种之间的相互作用可能会被打乱,产生潜在的有害影响。预测这些后果具有挑战性。我们将结构化的种群模型应用于一个特征良好的大山雀-毛毛虫模型系统,并确定了时间不同步的阈值,超过这个阈值,捕食者种群将迅速灭绝。我们的模型表明,捕食者繁殖时间的表型可塑性最初在面对环境变化时保持了时间上的同步。然而,根据气候变化的预测,捕食者的可塑性不足以跟上猎物的物候变化。随后,定向进化加速,但无法防止不匹配。一旦捕食者的物候落后于猎物超过 24 天,即使之前的种群动态稳定,也不可避免地会迅速灭绝。我们的预测表明,如果继续排放大量温室气体,目前的种群稳定可能掩盖了种群崩溃的途径。