营养水平
生态学
理论(学习稳定性)
环境科学
计算机科学
地理
生物
机器学习
作者
Francesco Polazzo,Markus Hermann,Melina Celeste Crettaz Minaglia,Andreu Rico
出处
期刊:Ecology
[Wiley]
日期:2022-12-09
卷期号:104 (2): e3951-e3951
被引量:23
摘要
Abstract 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.
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