Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems
Phytoplankton communities typically comprise a few dominant species and numerous rare ones, but their responses to seasonal precipitation changes remain poorly understood. To address this knowledge gap, investigations were conducted on the environmental conditions and phytoplankton communities in th...
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2024-12-01
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author | Enze Xiao Xiaofeng Liu Tian Lou Yimin Zhu Yiou Wang Xinxin Lu Yawen Fan Xiang Tan Yan Liu |
author_facet | Enze Xiao Xiaofeng Liu Tian Lou Yimin Zhu Yiou Wang Xinxin Lu Yawen Fan Xiang Tan Yan Liu |
author_sort | Enze Xiao |
collection | DOAJ |
description | Phytoplankton communities typically comprise a few dominant species and numerous rare ones, but their responses to seasonal precipitation changes remain poorly understood. To address this knowledge gap, investigations were conducted on the environmental conditions and phytoplankton communities in the Lalin River Basin during the dry and rainy seasons. Structural equation modeling and co-occurrence network analysis were then utilized to explore the assembly processes of dominant and rare phytoplankton communities following a seasonal heavy rainfall event. Our results showed seasonal heavy rainfall events significantly altered the phytoplankton community composition and rare phytoplankton diversity (<i>p</i> < 0.05). Furthermore, the stochastic process was particularly pronounced for rare species (i.e., 4.44%, <i>p</i> < 0.01). Co-occurrence network analysis revealed that increasing precipitation enhances the complexity and stability of phytoplankton ecological networks. Additionally, the relative importance of dominant species decreases, while that of rare species increases. This phenomenon can be described as the seasonal heavy precipitation weakening the so-called “Matthew effect” in the ecosystem. In summary, our results shed light on the phytoplankton ecology of agricultural rivers and reveal how changes in precipitation influence the formation of phytoplankton sub-communities and the structure of their networks. |
format | Article |
id | doaj-art-1496a50512aa476092b70c13ced1d11f |
institution | Kabale University |
issn | 1424-2818 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
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spelling | doaj-art-1496a50512aa476092b70c13ced1d11f2025-01-24T13:29:24ZengMDPI AGDiversity1424-28182024-12-011712610.3390/d17010026Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River EcosystemsEnze Xiao0Xiaofeng Liu1Tian Lou2Yimin Zhu3Yiou Wang4Xinxin Lu5Yawen Fan6Xiang Tan7Yan Liu8College of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaWesta College, Southwest University, Chongqing 400715, ChinaCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaWuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, ChinaCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, ChinaPhytoplankton communities typically comprise a few dominant species and numerous rare ones, but their responses to seasonal precipitation changes remain poorly understood. To address this knowledge gap, investigations were conducted on the environmental conditions and phytoplankton communities in the Lalin River Basin during the dry and rainy seasons. Structural equation modeling and co-occurrence network analysis were then utilized to explore the assembly processes of dominant and rare phytoplankton communities following a seasonal heavy rainfall event. Our results showed seasonal heavy rainfall events significantly altered the phytoplankton community composition and rare phytoplankton diversity (<i>p</i> < 0.05). Furthermore, the stochastic process was particularly pronounced for rare species (i.e., 4.44%, <i>p</i> < 0.01). Co-occurrence network analysis revealed that increasing precipitation enhances the complexity and stability of phytoplankton ecological networks. Additionally, the relative importance of dominant species decreases, while that of rare species increases. This phenomenon can be described as the seasonal heavy precipitation weakening the so-called “Matthew effect” in the ecosystem. In summary, our results shed light on the phytoplankton ecology of agricultural rivers and reveal how changes in precipitation influence the formation of phytoplankton sub-communities and the structure of their networks.https://www.mdpi.com/1424-2818/17/1/26precipitationphytoplankton communitiesrare taxanetwork stabilitystochastic process |
spellingShingle | Enze Xiao Xiaofeng Liu Tian Lou Yimin Zhu Yiou Wang Xinxin Lu Yawen Fan Xiang Tan Yan Liu Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems Diversity precipitation phytoplankton communities rare taxa network stability stochastic process |
title | Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems |
title_full | Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems |
title_fullStr | Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems |
title_full_unstemmed | Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems |
title_short | Precipitation Regulates the Assembly Processes of Rare Species in Phytoplankton Communities in River Ecosystems |
title_sort | precipitation regulates the assembly processes of rare species in phytoplankton communities in river ecosystems |
topic | precipitation phytoplankton communities rare taxa network stability stochastic process |
url | https://www.mdpi.com/1424-2818/17/1/26 |
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