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Competitive and demographic leverage points of community shifts under climate warming

机译:气候变暖下社区转变的竞争和人口统计学影响点

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摘要

Accelerating rates of climate change and a paucity of whole-community studies of climate impacts limit our ability to forecast shifts in ecosystem structure and dynamics, particularly because climate change can lead to idiosyncratic responses via both demographic effects and altered species interactions. We used a multispecies model to predict which processes and species' responses are likely to drive shifts in the composition of a space-limited benthic marine community. Our model was parametrized from experimental manipulations of the community. Model simulations indicated shifts in species dominance patterns as temperatures increase, with projected shifts in composition primarily owing to the temperature dependence of growth, mortality and competition for three critical species. By contrast, warming impacts on two other species (rendering them weaker competitors for space) and recruitment rates of all species were of lesser importance in determining projected community changes. Our analysis reveals the importance of temperature-dependent competitive interactions for predicting effects of changing climate on such communities. Furthermore, by identifying processes and species that could disproportionately leverage shifts in community composition, our results contribute to a mechanistic understanding of climate change impacts, thereby allowing more insightful predictions of future biodiversity patterns.
机译:气候变化速率的加快和对气候影响的全社区研究的匮乏限制了我们预测生态系统结构和动态变化的能力,特别是因为气候变化会通过人口统计学效应和物种相互作用的变化而引起特质反应。我们使用了一个多物种模型来预测哪些过程和物种的响应可能会导致空间有限的底栖海洋群落组成的变化。我们的模型是根据社区的实验操作参数化的。模型模拟表明,物种主导模式随温度升高而变化,预计组成的变化主要是由于三种关键物种的生长,死亡率和竞争对温度的依赖性。相比之下,变暖对另外两个物种的影响(使它们在空间上成为较弱的竞争者)和所有物种的招募率在确定预计的社区变化中的重要性较小。我们的分析揭示了温度依赖性竞争相互作用对于预测气候变化对此类社区的影响的重要性。此外,通过确定可能不成比例地利用社区组成变化的过程和物种,我们的结果有助于对气候变化影响的机械理解,从而可以对未来的生物多样性模式进行更深刻的预测。

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