IMDEA Water Institute, Science and Technology Campus of the University of Alcalá, Madrid, Spain.
Aquatic Ecology and Water Quality Management Group, Wageningen University, Wageningen, The Netherlands.
Ecology. 2023 Feb;104(2):e3951. doi: 10.1002/ecy.3951. Epub 2023 Jan 5.
Untangling the relationship between network complexity and ecological stability under climate change is an arduous challenge for theoretical and empirical ecology. Even more so, when considering extreme climatic events. Here, we studied the effects of extreme climatic events (heatwaves) on the complexity of realistic freshwater ecosystems using topological and quantitative trophic network metrics. Next, we linked changes in network complexity with the investigation of four stability components (temporal stability, resistance, resilience, and recovery) of community's functional, compositional, and energy flux stability. We found reduction in topological network complexity to be correlated with reduction of functional and compositional resistance. However, temperature-driven increase in link-weighted network complexity increased functional and energy flux recovery and resilience, but at the cost of increased compositional instability. Overall, we propose an overarching approach to elucidate the effects of climate change on multidimensional stability through the lens of network complexity, providing helpful insights for preserving ecosystems stability under climate change.
在气候变化下,理清网络复杂性与生态稳定性之间的关系是理论和实证生态学的艰巨挑战。尤其是在考虑极端气候事件时更是如此。在这里,我们使用拓扑和定量营养网络指标来研究极端气候事件(热浪)对现实淡水生态系统复杂性的影响。接下来,我们将网络复杂性的变化与对社区功能、组成和能量通量稳定性的四个稳定性组成部分(时间稳定性、阻力、弹性和恢复)的研究联系起来。我们发现拓扑网络复杂性的降低与功能和组成阻力的降低相关。然而,温度驱动的链接加权网络复杂性的增加增加了功能和能量通量的恢复力和弹性,但代价是组成的不稳定性增加。总的来说,我们提出了一种综合方法,通过网络复杂性的视角来阐明气候变化对多维稳定性的影响,为在气候变化下保护生态系统稳定性提供了有益的见解。