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季节性波动环境的生态进化模型中的物种聚集

Species packing in eco-evolutionary models of seasonally fluctuating environments.

作者信息

Kremer Colin T, Klausmeier Christopher A

机构信息

Kellogg Biological Station, Michigan State University, 3700 E Gull Lake Dr., Hickory Corners, MI, 49060, USA.

Department of Plant Biology and Program in Ecology, Evolutionary Biology and Behavior, Michigan State University, East Lansing, MI, USA.

出版信息

Ecol Lett. 2017 Sep;20(9):1158-1168. doi: 10.1111/ele.12813. Epub 2017 Jul 23.

Abstract

As ecology and evolution become ever more entwined, many areas of ecological theory are being re-examined. Eco-evolutionary analyses of classic coexistence mechanisms are yielding new insights into the structure and stability of communities. We examine fluctuation-dependent coexistence models, identifying communities that are both ecologically and evolutionarily stable. Members of these communities possess distinct environmental preferences, revealing widespread patterns of limiting similarity. This regularity leads to consistent changes in the structure of communities across fluctuation regimes. However, at high amplitudes, subtle differences in the form of fluctuations dramatically affect the collapse of communities. We also show that identical fluctuations can support multiple evolutionarily stable communities - a novel example of alternative stable states within eco-evolutionary systems. Consequently, the configuration of communities will depend on historical contingencies, including details of the adaptive process. Integrating evolution into the study of coexistence offers new insights, while enriching our understanding of ecology.

摘要

随着生态学与进化的联系日益紧密,许多生态理论领域正在被重新审视。对经典共存机制的生态进化分析正在为群落的结构和稳定性带来新的见解。我们研究了依赖波动的共存模型,识别出在生态和进化上都稳定的群落。这些群落的成员具有不同的环境偏好,揭示了广泛存在的限制相似性模式。这种规律性导致了不同波动状态下群落结构的一致变化。然而,在高振幅时,波动形式的细微差异会极大地影响群落的崩溃。我们还表明,相同的波动可以支持多个进化稳定群落——这是生态进化系统中替代稳定状态的一个新例子。因此,群落的构型将取决于历史偶然性,包括适应性过程的细节。将进化纳入共存研究提供了新的见解,同时丰富了我们对生态学的理解。

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