Department of Environmental, Earth and Ocean Sciences, University of Massachusetts, 100 Morrissey Boulevard, Boston, MA 02125, USA.
Proc Biol Sci. 2013 May 8;280(1762):20130572. doi: 10.1098/rspb.2013.0572. Print 2013 Jul 7.
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.
气候变化的速度加快,以及缺乏对气候影响的全社区研究,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可以通过人口效应和改变物种相互作用导致特殊的反应。我们使用一个多物种模型来预测哪些过程和物种的反应可能会导致空间有限的底栖海洋群落组成的变化。我们的模型是根据对群落的实验操作进行参数化的。模型模拟表明,随着温度的升高,物种优势模式会发生变化,而组成的变化主要是由于三个关键物种的生长、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(使它们在空间竞争中较弱)和所有物种的补充率的影响在确定预期的群落变化方面则不太重要。我们的分析揭示了温度依赖的竞争相互作用对于预测气候变化对这些群落的影响的重要性。此外,通过确定可能不成比例地利用群落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制理解,从而能够更有见地预测未来的生物多样性模式。