机构地区:[1]Jiangxi Key Laboratory of Hydrology-Water Resources and Water Environment,Nanchang Institute of Technology,Nanchang 330099,China [2]Key Laboratory of Poyang Lake Environment and Resource Utilization,Ministry of Education,and School of Resources,Environmental&Chemical Engineering,Nanchang University,Nanchang 330031,China [3]Lushan Botanical Garden,Jiangxi Province and Chinese Academy of Sciences,Jiujiang 332900,China [4]China Railway Water Conservancy&Hydropower Planning and Design Group Co.,Ltd.,Nanchang 330029,China [5]Key Laboratory of Poyang Lake Wetland and Watershed Research,Ministry of Education,Jiangxi Normal University,Nanchang 330022,China [6]Institute of Watershed Ecology,Jiangxi Academy of Sciences,Nanchang 330096,China
出 处:《Journal of Oceanology and Limnology》2024年第6期1764-1776,共13页海洋湖沼学报(英文)
基 金:Supported by the Science and Technology Project of Jiangxi Provincial Department of Education(Nos.GJJ211938,GJJ211933);the National Natural Science Foundation of China(No.52260026);the Science and Technology Research and Development Project of China Railway Group Limited(No.2021-Major-08);the Major Science and Technology Program of Jiangxi Provincial Department of Water Resources(No.202224ZDKT22);the Young Talents Training Project of Jiangxi Province(No.20204BCJL23040)。
摘 要:Phytoplankton functional groups have gained increasing attention in recent years.To understand the composition of phytoplankton functional groups in Poyang Lake and their drivers,field investigations were conducted over three years:2013,2014,and 2016.Phytoplankton were dominated by diatoms,contributing from 20.19%to 57.57%of the total biomass,followed by cyanobacteria,9.81%-39.98%.Microcystis sp.and Anabaena sp.were the dominant species among cyanobacteria.Twenty-six functional groups were identified among 72 genera or species,and fiver groups(P,B,MP,H1,and G)were categorized dominant.All of dominant groups except H1 were tolerate highly fluctuating mixing intensities and showed a typical monthly succession variation.Water temperature,water level,and nutrients are key drivers for the variation of phytoplankton communities at taxonomic and functional levels.Both of redundancy and variation partitioning analyses showed that environmental variables might explain functional groups better than taxonomic communities,implying that the functional groups were more advantageous in showing the effects of environmental conditions than taxonomic compositions.Hydrological conditions have a crucial influence on phytoplankton assemblage dynamics in highly variable water regime lakes,but not in the largest ones.The functional groups method is suitable for identifying the spatial and seasonal characteristics of aquatic environments that significantly affected by water regimes.
关 键 词:cyanobacteria bloom light availability nutrients dilution water level Poyang Lake
分 类 号:Q948.8[生物学—植物学] X524[环境科学与工程—环境工程]
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