Climate changes drive phytoplankton community through complementarity and selection effects in a large mesotrophic reservoir  

作　　者：Yue WU Qi YE Siwen CHEN Lei JIANG Kaining CHEN Shuzhan MA Yiheng CHANG Jie LIU Xiaoli SHI 

机构地区：[1]State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]College of Nanjing,University of Chinese Academy of Sciences,Nanjing 211135,China [4]China State Environmental Protection Key Laboratory of Aquatic Ecosystem Health in the Middle and Lower Reaches of Yangtze River,Jiangsu Provincial Academy of Environmental Science,Nanjing 210036,China [5]School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China

出　　处：《Journal of Oceanology and Limnology》2025年第1期119-133,共15页海洋湖沼学报(英文)

基　　金：Supported by the National Natural Science Foundation of China(Nos.U22A20616,32071573)。

摘　　要：Understanding the response of the phytoplankton community to climate change is essential for reservoir management.We analyzed a long-term data series(2009–2020)on the phytoplankton community in a large mesotrophic reservoir in the wet season to investigate the impacts of temperature and precipitation increases caused by climate change on the functioning and trait composition of the phytoplankton community.Over the last twelve years,the 3-month accumulative precipitation increased from 291.03 mm to 590.91 mm,and the surface water temperature increased from 25.06℃to 26.49℃in wet season,respectively.These changes caused a higher water level,stronger thermal stratification and lower nitrogen concentration in Daxi Reservoir.The dynamic equilibrium model indicated that the increased precipitation and water temperature-related environmental changes would result in a more diverse and productive phytoplankton community.The effects of increasing water temperature and precipitation on the niche complementarity and selection effects within the phytoplankton community were analyzed using structural equation model by means of the functional divergence index and functional evenness index,respectively,elucidating the reasons for the increase in cyanobacteria in the absence of a significant increase in nutrient levels.Based on these results,it is advisable that more stringent phosphorus control standards might be conducted to reduce the risks of cyanobacteria proliferation in the context of global warming.

关 键 词：global warming climate change RESERVOIR trait-based phytoplankton functional group CYANOBACTERIA 

分 类 号：TV697[水利工程—水利水电工程] X173[环境科学与工程—环境科学] Q948.8[生物学—植物学] X143