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最大生态多样性超过模型生态系统中的进化多样性。

Maximal ecological diversity exceeds evolutionary diversity in model ecosystems.

机构信息

Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.

University of Santiago of Chile (USACH), Physics Department, Santiago, Chile.

出版信息

Ecol Lett. 2023 Mar;26(3):384-397. doi: 10.1111/ele.14156. Epub 2023 Feb 3.

Abstract

Understanding community saturation is fundamental to ecological theory. While investigations of the diversity of evolutionary stable states (ESSs) are widespread, the diversity of communities that have yet to reach an evolutionary endpoint is poorly understood. We use Lotka-Volterra dynamics and trait-based competition to compare the diversity of randomly assembled communities to the diversity of the ESS. We show that, with a large enough founding diversity (whether assembled at once or through sequential invasions), the number of long-time surviving species exceeds that of the ESS. However, the excessive founding diversity required to assemble a saturated community increases rapidly with the dimension of phenotype space. Additionally, traits present in communities resulting from random assembly are more clustered in phenotype space compared to random, although still markedly less ordered than the ESS. By combining theories of random assembly and ESSs we bring a new viewpoint to both the saturation and random assembly literature.

摘要

理解群落饱和是生态理论的基础。尽管对进化稳定状态(ESS)多样性的研究很广泛,但对尚未达到进化终点的群落多样性的理解还很有限。我们使用Lotka-Volterra 动力学和基于特征的竞争来比较随机组装群落的多样性和 ESS 的多样性。我们表明,只要创始多样性足够大(无论是一次组装还是通过顺序入侵),长期生存的物种数量就会超过 ESS。然而,为了组装一个饱和群落而需要的过多的创始多样性会随着表型空间的维度迅速增加。此外,与随机的相比,尽管仍然明显不如 ESS 有序,但通过随机组装形成的群落中的特征在表型空间中更加聚类。通过结合随机组装和 ESS 的理论,我们为饱和和随机组装文献带来了新的视角。

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