Biotic Variability and Synchrony Across Hierarchical Levels and Freshwater Networks
Year: 2025
Type: article
Abstract: Understanding temporal variability and synchrony across biological hierarchical levels (from species to metacommunities) and ecosystems, and their underlying drivers, remains a fundamental ecological question. However, most studies are performed within an ecosystem, overlooking the complexity structuring natural high-level metacommunities across ecosystems. By applying theoretical frameworks of metacommunity variability with phytoplankton datasets across a pond-stream-lake continuum, we show that (i) temporal variability decreases from species to metacommunities, while synchrony exhibits complex hierarchical patterns and varies depending on spatial scales; (ii) temporal variability and synchrony are lower in streams than in ponds or the lake, and spatiotemporal community-environment relationships are stronger in the lake than in the ponds or streams. These patterns are strongly related to environmental fluctuations, dispersal and species diversity. Our study advances the theoretical and empirical understanding of how complex biological hierarchies and freshwater networks influence biotic variability and synchrony, providing valuable insights for aquatic biodiversity conservation.
Source: Ecology Letters
DOI: 10.1111/ele.70261
Authors: Siwen He, Xianfu Zhao, Zhongguan Jiang, Peiming Ma, Wei Chen, Zhengfei Li, Zhan Mai, Wentong Zhao, Yihang Hou, Mi Wei, Feng Chen, Juxiang Hu, Xiaowei Jin, Janne Soininen
Institutions: Chongqing University, Chinese Academy of Sciences, Institute of Hydroecology, Anhui University, Institute of Hydrobiology, Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Shanghai Ocean University, China National Environmental Monitoring Center, University of Helsinki
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4416239552
