【2h】

Food-web dynamics under climate change

机译:气候变化下的食物网动态

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摘要

Climate change affects ecological communities through its impact on the physiological performance of individuals. However, the population dynamic of species well inside their thermal niche is also determined by competitors, prey and predators, in addition to being influenced by temperature changes. We use a trait-based food-web model to examine how the interplay between the direct physiological effects from temperature and the indirect effects due to changing interactions between populations shapes the ecological consequences of climate change for populations and for entire communities. Our simulations illustrate how isolated communities deteriorate as populations go extinct when the environment moves outside the species' thermal niches. High-trophic-level species are most vulnerable, while the ecosystem function of lower trophic levels is less impacted. Open communities can compensate for the loss of ecosystem function by invasions of new species. Individual populations show complex responses largely uncorrelated with the direct impact of temperature change on physiology. Such complex responses are particularly evident during extinction and invasion events of other species, where climatically well-adapted species may be brought to extinction by the changed food-web topology. Our results highlight that the impact of climate change on specific populations is largely unpredictable, and apparently well-adapted species may be severely impacted.
机译:气候变化通过影响个人的生理表现来影响生态社区。然而,除了受温度变化的影响外,竞争者,猎物和掠食者还决定了处于其热生态位内的物种的种群动态。我们使用基于特征的食物网模型来检验温度的直接生理效应与由于种群之间相互作用的改变而引起的间接效应之间的相互作用如何塑造气候变化对人类和整个社区的生态后果。我们的模拟表明,当环境移出物种的栖息地之后,随着种群的消失,孤立的社区将如何退化。营养水平较高的物种最容易受到伤害,而营养水平较低的生态系统功能受到的影响较小。开放的社区可以通过入侵新物种来弥补生态系统功能的丧失。个别人群显示出复杂的反应,很大程度上与温度变化对生理的直接影响无关。在其他物种的灭绝和入侵事件中,这种复杂的反应尤为明显,因为适应气候变化的食物网拓扑可能会使适应气候变化的物种灭绝。我们的结果强调,气候变化对特定人群的影响在很大程度上是不可预测的,显然适应性强的物种可能会受到严重影响。

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