Guo Guanming, Barabás György, Takimoto Gaku, Bearup Daniel, Fagan William F, Chen Dongdong, Liao Jinbao
Key Laboratory of Poyang Lake Wetland and Watershed Research, School of Geography and Environment, Jiangxi Normal University, Nanchang, China.
Division of Theoretical Biology, Department IFM, Linköping University, Linköping, Sweden.
Ecol Lett. 2023 Nov;26(11):1926-1939. doi: 10.1111/ele.14305. Epub 2023 Sep 11.
Ecologists have long sought to understand variation in food chain length (FCL) among natural ecosystems. Various drivers of FCL, including ecosystem size, resource productivity and disturbance, have been hypothesised. However, when results are aggregated across existing empirical studies from aquatic ecosystems, we observe mixed FCL responses to these drivers. To understand this variability, we develop a unified competition-colonisation framework for complex food webs incorporating all of these drivers. With competition-colonisation tradeoffs among basal species, our model predicts that increasing ecosystem size generally results in a monotonic increase in FCL, while FCL displays non-linear, oscillatory responses to resource productivity or disturbance in large ecosystems featuring little disturbance or high productivity. Interestingly, such complex responses mirror patterns in empirical data. Therefore, this study offers a novel mechanistic explanation for observed variations in aquatic FCL driven by multiple environmental factors.
长期以来,生态学家一直试图了解自然生态系统中食物链长度(FCL)的变化情况。人们已经提出了各种影响食物链长度的驱动因素,包括生态系统规模、资源生产力和干扰。然而,当汇总来自水生生态系统的现有实证研究结果时,我们观察到食物链长度对这些驱动因素的反应不一。为了理解这种变异性,我们为复杂食物网开发了一个统一的竞争 - 定殖框架,将所有这些驱动因素都纳入其中。由于基础物种之间存在竞争 - 定殖权衡,我们的模型预测,生态系统规模的增加通常会导致食物链长度单调增加,而在干扰较少或生产力较高的大型生态系统中,食物链长度对资源生产力或干扰呈现非线性、振荡性反应。有趣的是,这种复杂的反应与实证数据中的模式相吻合。因此,本研究为多个环境因素驱动的水生食物链长度的观测变化提供了一种全新的机理解释。