Aparicio Andrea, Liu Yang-Yu
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, United States.
Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute of Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, United States.
Eng Microbiol. 2022 Dec 1;3(1):100063. doi: 10.1016/j.engmic.2022.100063. eCollection 2023 Mar.
Predicting biodiversity and dynamics of complex communities is a fundamental challenge in ecology. Leveraging bacterial microcosms with well-controlled laboratory conditions, Hu et al. recently performed a direct test of theory predicting that two community-level parameters (i.e., species pool size and inter-species interaction strength) dictate transitions between three dynamical phases: stable full coexistence, stable partial coexistence, and persistent fluctuations. Generally, communities experience species extinctions before they lose stability as either of the two parameters increases.
预测复杂群落的生物多样性和动态变化是生态学中的一项基本挑战。胡等人利用实验室条件得到良好控制的细菌微观世界,最近对一个理论进行了直接检验,该理论预测两个群落水平参数(即物种库大小和种间相互作用强度)决定了三个动态阶段之间的转变:稳定的完全共存、稳定的部分共存和持续波动。一般来说,随着这两个参数中任何一个的增加,群落在失去稳定性之前会经历物种灭绝。