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复杂食物网可能失控的五种基本方式。

Five fundamental ways in which complex food webs may spiral out of control.

作者信息

Lever J Jelle, Van Nes Egbert H, Scheffer Marten, Bascompte Jordi

机构信息

Department of Aquatic Ecology and Water Quality Management, Wageningen University, Wageningen, The Netherlands.

Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.

出版信息

Ecol Lett. 2023 Oct;26(10):1765-1779. doi: 10.1111/ele.14293. Epub 2023 Aug 16.

Abstract

Theory suggests that increasingly long, negative feedback loops of many interacting species may destabilize food webs as complexity increases. Less attention has, however, been paid to the specific ways in which these 'delayed negative feedbacks' may affect the response of complex ecosystems to global environmental change. Here, we describe five fundamental ways in which these feedbacks might pave the way for abrupt, large-scale transitions and species losses. By combining topological and bioenergetic models, we then proceed by showing that the likelihood of such transitions increases with the number of interacting species and/or when the combined effects of stabilizing network patterns approach the minimum required for stable coexistence. Our findings thus shift the question from the classical question of what makes complex, unaltered ecosystems stable to whether the effects of, known and unknown, stabilizing food-web patterns are sufficient to prevent abrupt, large-scale transitions under global environmental change.

摘要

理论表明,随着复杂性增加,许多相互作用物种的负反馈回路越来越长,可能会使食物网不稳定。然而,人们较少关注这些“延迟负反馈”可能影响复杂生态系统对全球环境变化响应的具体方式。在此,我们描述了这些反馈可能为突然的、大规模转变和物种丧失铺平道路的五种基本方式。通过结合拓扑模型和生物能量模型,我们进而表明,这种转变的可能性会随着相互作用物种数量的增加和/或当稳定网络模式的综合效应接近稳定共存所需的最小值时而增加。因此,我们的研究结果将问题从关于使复杂的、未改变的生态系统稳定的经典问题,转变为已知和未知的稳定食物网模式的效应是否足以防止全球环境变化下突然的、大规模转变的问题。

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