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高多样性群落对不断变化环境的进化适应。

Evolutionary adaptation of high-diversity communities to changing environments.

作者信息

Alekseeva Evgeniia, Doebeli Michael, Ispolatov Iaroslav

机构信息

Skoltech Moscow Russia.

University of British Columbia Vancouver British Columbia Canada.

出版信息

Ecol Evol. 2020 Oct 13;10(21):11941-11953. doi: 10.1002/ece3.6695. eCollection 2020 Nov.

Abstract

We use adaptive dynamics models to study how changes in the abiotic environment affect patterns of evolutionary dynamics and diversity in evolving communities of organisms with complex phenotypes. The models are based on the logistic competition model, and environmental changes are implemented as a temporal change of the carrying capacity as a function of phenotype. In general, we observe that environmental changes cause a reduction in the number of species, in total population size, and in phenotypic diversity. The rate of environmental change is crucial for determining whether a community survives or undergoes extinction. Until some critical rate of environmental changes, species are able to follow evolutionarily the shifting phenotypic optimum of the carrying capacity, and many communities adapt to the changing conditions and converge to new stationary states. When environmental changes stop, such communities gradually restore their initial phenotypic diversity.

摘要

我们使用适应性动态模型来研究非生物环境的变化如何影响具有复杂表型的生物进化群落中的进化动态模式和多样性。这些模型基于逻辑斯谛竞争模型,环境变化通过作为表型函数的承载能力的时间变化来实现。一般来说,我们观察到环境变化会导致物种数量、总种群规模和表型多样性的减少。环境变化的速率对于确定一个群落是生存还是灭绝至关重要。在达到某个关键的环境变化速率之前,物种能够在进化上跟随承载能力不断变化的表型最优值,许多群落能够适应不断变化的条件并收敛到新的稳定状态。当环境变化停止时,这样的群落会逐渐恢复其初始的表型多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb0/7663975/f69b61c1853b/ECE3-10-11941-g001.jpg

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