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环境-生物反馈驱动生态相互作用的变化。

Environment-Organism Feedbacks Drive Changes in Ecological Interactions.

作者信息

Meacock Oliver J, Mitri Sara

机构信息

Department of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.

School of Biosciences, University of Sheffield, Sheffield, UK.

出版信息

Ecol Lett. 2025 Jan;28(1):e70027. doi: 10.1111/ele.70027.

Abstract

Ecological interactions are foundational to our understanding of community composition and function. While interactions are known to change depending on the environmental context, it has generally been assumed that external environmental factors are responsible for driving these dependencies. Here, we derive a theoretical framework which instead focuses on how intrinsic environmental changes caused by the organisms themselves alter interaction values. Our central concept is the 'instantaneous interaction', which captures the feedback between the current environmental state and organismal growth, generating spatiotemporal context-dependencies as organisms modify their environment over time and/or space. We use small microbial communities to illustrate how this framework can predict time-dependencies in a toxin degradation system, and relate time- and spatial-dependencies in crossfeeding communities. By re-centring the relationship between organisms and their environment, our framework predicts the variations in interactions wherever intrinsic, organism-driven environmental change dominates over external drivers.

摘要

生态相互作用是我们理解群落组成和功能的基础。虽然已知相互作用会根据环境背景而变化,但一般认为外部环境因素是驱动这些依赖性的原因。在这里,我们推导了一个理论框架,该框架转而关注生物体自身引起的内在环境变化如何改变相互作用值。我们的核心概念是“瞬时相互作用”,它捕捉当前环境状态与生物体生长之间的反馈,随着生物体随时间和/或空间改变其环境,产生时空背景依赖性。我们使用小型微生物群落来说明这个框架如何预测毒素降解系统中的时间依赖性,并关联交叉喂养群落中的时间和空间依赖性。通过重新定位生物体与其环境之间的关系,我们的框架预测了在内在的、生物体驱动的环境变化超过外部驱动因素的任何地方相互作用的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3618/11687356/6658c8c86000/ELE-28-0-g005.jpg

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