Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry, Swiss Federal Institute of Aquatic Science and Technology, Eawag,, Kastanienbaum, CH, Switzerland.
Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, CH, Switzerland.
Ecol Lett. 2022 Jan;25(1):26-37. doi: 10.1111/ele.13895. Epub 2021 Oct 20.
Individual variation is central to species involved in complex interactions with others in an ecological system. Such ecological systems could exhibit tipping points in response to changes in the environment, consequently leading to abrupt transitions to alternative, often less desirable states. However, little is known about how individual trait variation could influence the timing and occurrence of abrupt transitions. Using 101 empirical mutualistic networks, I model the eco-evolutionary dynamics of such networks in response to gradual changes in strength of co-evolutionary interactions. Results indicated that individual variation facilitates the timing of transition in such networks, albeit slightly. In addition, individual variation significantly increases the occurrence of large abrupt transitions. Furthermore, topological network features also positively influence the occurrence of such abrupt transitions. These findings argue for understanding tipping points using an eco-evolutionary perspective to better forecast abrupt transitions in ecological systems.
个体变异是与生态系统中其他物种发生复杂相互作用的物种的核心。这些生态系统可能会对环境变化做出临界点反应,从而导致向替代状态的突然转变,而这些替代状态往往不太理想。然而,人们对于个体特征变异如何影响突然转变的时间和发生知之甚少。本研究使用了 101 个实证互惠网络,通过模拟网络对共进化相互作用强度逐渐变化的生态进化动态,来研究这些网络的生态进化动态。结果表明,个体变异虽然只是略微促进了网络中转变的时间,但确实促进了转变的发生。此外,个体变异还显著增加了大的突然转变的发生。此外,拓扑网络特征也会对这种突然转变的发生产生积极影响。这些发现支持从生态进化的角度来理解临界点,以便更好地预测生态系统中的突然转变。