Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.
Institute of S&T Foresight and Statistics, Chinese Academy of Science and Technology for Development, Beijing, China.
Ecol Lett. 2023 Aug;26(8):1325-1335. doi: 10.1111/ele.14242. Epub 2023 May 15.
While the relationship between food web complexity and stability has been well documented, how complexity affects productivity remains elusive. In this study, we combine food web theory and a data set of 149 aquatic food webs to investigate the effect of complexity (i.e. species richness, connectance, and average interaction strength) on ecosystem productivity. We find that more complex ecosystems tend to be more productive, although different facets of complexity have contrasting effects. A higher species richness and/or average interaction strength increases productivity, whereas a higher connectance often decreases it. These patterns hold not only between realized complexity and productivity, but also characterize responses of productivity to simulated declines of complexity. Our model also predicts a negative association between productivity and stability along gradients of complexity. Empirical analyses support our predictions on positive complexity-productivity relationships and negative productivity-stability relationships. Our study provides a step forward towards reconciling ecosystem complexity, productivity and stability.
虽然食物网复杂性与稳定性之间的关系已经得到了充分的记录,但复杂性如何影响生产力仍然难以捉摸。在这项研究中,我们结合了食物网理论和 149 个水生食物网数据集,调查了复杂性(即物种丰富度、连接度和平均相互作用强度)对生态系统生产力的影响。我们发现,更复杂的生态系统往往更具生产力,尽管复杂性的不同方面具有相反的影响。更高的物种丰富度和/或平均相互作用强度会增加生产力,而更高的连接度往往会降低生产力。这些模式不仅存在于实际复杂性与生产力之间,而且还描述了生产力对模拟复杂性下降的响应。我们的模型还预测了生产力与复杂性梯度之间的负相关关系。实证分析支持了我们关于正的复杂性-生产力关系和负的生产力-稳定性关系的预测。我们的研究为协调生态系统复杂性、生产力和稳定性迈出了一步。