Zhang Qing-Ji, Wang Ye-Yu, Wang Jin-Dong, Wang Ri-Xin, Deng Jian-Ming, Cai Yong-Jiu, Peng Kai, Chen Ye, Gong Zhi-Jun
School of Marine Sciences, Ningbo University, Ningbo 315832, China.
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Huan Jing Ke Xue. 2020 Apr 8;41(4):1648-1656. doi: 10.13227/j.hjkx.201909146.
As a water storage lake for the South-to-North Water Diversion Project, it is crucial to examine changes in aquatic ecosystem structures in Lake Luoma, Jiangsu province. Field sampling was carried out in Lake Luoma monthly from 2014 to 2018 to study the relationship between the phytoplankton community structure and environmental factors. During the studied period, total nitrogen, permanganate index, and electrical conductivity in water column gradually increased, whereas fluoride content declined. The pattern of total phosphorus and dissolved oxygen was not distinct. A total of 71 genera of phytoplankton were identified from 2014 to 2018, and the average monthly biomass variation ranged from 0.16 to 5.51 mg·L. Bacillariophyta and Chlorophyta were the dominant phyla in the four years, followed by Pyrrophyta and Cryptophyta. The dominant genera were sp., spp spp., sp., spp. spp., sp. sp. and spp. The results showed that the phytoplankton community structure significantly changed in the four years, which was mainly ascribed to the redistribution of biomass. Specifically, in addition to the dominance of Bacillariophyta and Chlorophyta, the dominance of Pyrrophyta and Cyanophyta increased during the last two years. Non-metric multidimensional scaling analysis showed that variation of the phytoplankton community in Lake Luoma was mainly related to total nitrogen, fluoride, water temperature, total phosphorus, dissolved oxygen, pH, conductivity, and permanganate index, among which the total nitrogen, water temperature, and fluoride concentration dominated the phytoplankton community change after the generalized additive model test. Water temperature is the driving factor affecting seasonal changes of the phytoplankton community. Total nitrogen and fluoride concentrations are the driving factors affecting the interannual variation in the phytoplankton community. Our study indicated that in recent years, the implementation of the ban on sand mining and demolition of the enclosed aquaculture in Lake Luoma has affected the water environment, resulting in a significant succession of the phytoplankton community.
作为南水北调工程的调蓄湖泊,研究江苏省骆马湖水生生态系统结构的变化至关重要。2014年至2018年期间,每月在骆马湖进行实地采样,以研究浮游植物群落结构与环境因子之间的关系。在研究期间,水柱中的总氮、高锰酸盐指数和电导率逐渐增加,而氟化物含量下降。总磷和溶解氧的变化趋势不明显。2014年至2018年共鉴定出71属浮游植物,月平均生物量变化范围为0.16至5.51mg·L。硅藻门和绿藻门在这四年中占主导地位,其次是甲藻门和隐藻门。优势属为 属、 属 属、 属、 属 属、 属 属、 属 属和 属。结果表明,浮游植物群落结构在这四年中发生了显著变化,这主要归因于生物量的重新分布。具体而言,除了硅藻门和绿藻门占主导地位外,甲藻门和蓝藻门在最后两年的优势度增加。非度量多维尺度分析表明,骆马湖浮游植物群落的变化主要与总氮、氟化物、水温、总磷、溶解氧、pH值、电导率和高锰酸盐指数有关,其中广义相加模型检验后,总氮、水温和氟化物浓度主导了浮游植物群落的变化。水温是影响浮游植物群落季节变化的驱动因素。总氮和氟化物浓度是影响浮游植物群落年际变化的驱动因素。我们的研究表明,近年来,骆马湖实施的禁采砂石和拆除围网养殖措施影响了水环境,导致浮游植物群落发生显著演替。