文献类型：期刊文献

英文题名：Differed biotic interactions influenced by anthropogenic disturbances among trophic levels in fragmented wetlands

作者：Yang, Yuzhan[1,2] Zhan, Aibin[2,3] Yuan, Zhilin[1]

第一作者：Yang, Yuzhan;杨预展

通信作者：Zhan, AB[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, Hangzhou 311400, Peoples R China;[2]Chinese Acad Sci, Res Ctr Ecoenvironm Sci, 18 Shuangqing Rd, Beijing 100085, Peoples R China;[3]Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China

年份：2022

卷号：809

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：;EI(收录号：20214611148088);Scopus(收录号：2-s2.0-85118692722);WOS:【SCI-EXPANDED(收录号:WOS:000755050800009)】；

基金：This work was supported by the National Key Research and Development Program of China [Grant no.: 2016YFC0500406].

语种：英文

外文关键词：Environmental changes; Biotic interactions; Bacterioplankton; Protozoan; Metazoan

摘要：Environmental changes derived fromvarious human activities have largely disturbed the structure and functioning of various biological communities. However, little is known on how such disturbance impacts species interactions in biological communities. This study aims to elucidate the variation of species interactions across multiple trophic levels and further determine crucial factor(s) in regulating observed variation. We collected plankton samples from Sanjiang Wetlands in Northeastern China and used random matrix theory (MRT)based approach to construct species interaction networks for bacterioplanktons, protozoans, andmetazoans, respectively. We found that biotic interactions were more complex at lower trophic levels. Network key species (e.g., module hubs and connectors) were detected only in the bacterioplankton network. More inter- and intra-module connections, particularly negative connections, were detected in the bacterioplankton network. Across all three trophic levels, the element sodium (Na) was the most important factor influencing the network structure, while at each trophic level, physicochemical factors, nutrients, and organic pollutants were identified as crucial determinants but their relative importance differed. In particular, no correlation was detected between the metazoan network and any environmental factor. After separating protozoan and metazoan communities into subgroups in relatively poor and good water environments, we found community interaction networks were more complex in good conditions than in poor conditions. A simple network structure (e.g., no intermodule connectors or intra-module hubs, and less competitive links) and less association with environmental factors in the higher trophic levels clearly illustrate that metazoan and protozoan communities in the fragmented wetlands are unstable and vulnerable. Therefore, further environmental changes may greatly influence species interactions in these communities. Collectively, our findings provide new insights into dynamics of influence of environmental changes on biotic interactions in aquatic biological communities, highlighting the necessity to use a multi-trophic strategy when assessing negative effects of environmental changes in aquatic ecosystems. (C) 2021 Elsevier B.V. All rights reserved.