| 骆马湖浮游植物演替规律及驱动因子 |
| 摘要点击 2333 全文点击 880 投稿时间：2019-09-16 修订日期：2019-11-07 |
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| 中文关键词 浅水湖泊 浮游植物 群落结构 营养盐 非度量多维尺度分析 广义可加模型 |
| 英文关键词 shallow lake phytoplankton community structure nutrient non-metric multidimensional scaling generalized additive models |
| 作者 | 单位 | E-mail | | 张庆吉 | 宁波大学海洋学院, 宁波 315832
中国科学院南京地理与湖泊研究所, 湖泊与环境国家重点实验室, 南京 210008 | 1174229093@qq.com | | 王业宇 | 江苏省骆运水利工程管理处, 宿迁 223800 | | | 王金东 | 江苏省骆运水利工程管理处, 宿迁 223800 | | | 王日昕 | 宁波大学海洋学院, 宁波 315832 | wrx_zjou@163.com | | 邓建明 | 中国科学院南京地理与湖泊研究所, 湖泊与环境国家重点实验室, 南京 210008 | jmdeng@niglas.ac.cn | | 蔡永久 | 中国科学院南京地理与湖泊研究所, 湖泊与环境国家重点实验室, 南京 210008 | | | 彭凯 | 中国科学院南京地理与湖泊研究所, 湖泊与环境国家重点实验室, 南京 210008 | | | 陈业 | 中国科学院南京地理与湖泊研究所, 湖泊与环境国家重点实验室, 南京 210008 | | | 龚志军 | 中国科学院南京地理与湖泊研究所, 湖泊与环境国家重点实验室, 南京 210008 | |
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| 中文摘要 |
| 江苏骆马湖作为南水北调工程的重要调蓄湖泊，水生态系统结构变化不容忽视.为研究骆马湖浮游植物群落结构演替规律及其与环境因子的关系，于2014~2018年进行了逐月监测.研究期间骆马湖总氮、高锰酸盐指数、电导率等参数呈逐年升高趋势，氟离子浓度呈逐年下降趋势.共鉴定有浮游植物7门71属，月均生物量变化范围0.16~5.51mg·L-1.硅藻和绿藻为绝对优势门类，其次为甲藻及隐藻；主要优势属为针杆藻（Synedra sp.）、隐藻（Chroomonas spp.）、直链硅藻（Aulacoseira spp.）、锥囊藻（Dinobryon sp.）、栅藻（Scenedesmus spp.）、脆杆藻（Fragilaria spp.）、转板藻（Mougeotia sp.）、纤维藻（Ankistrodesmus sp.）和裸藻（Euglena spp.）.2014~2018年骆马湖浮游植物群落结构年际差异较大，其变化主要体现在浮游植物生物量的再分配，硅藻和绿藻继续保持优势外甲藻和蓝藻的优势度增加.非度量多维尺度分析显示，骆马湖浮游植物群落变化与总氮、氟离子、水温、总磷、溶解氧、pH、电导率和高锰酸盐指数等因素有关，广义可加模型同样显示总氮、氟离子浓度和水温是主导骆马湖浮游植物群落结构变化的主要因素.总氮、氟离子浓度是影响浮游植物群落年际变化的环境因子，而水温是引起浮游植物群落季节变化的主要因子.结合近几年管理部门采取的措施，浮游植物群落年际变化可能与骆马湖实行禁止采砂和拆除围网等管理修复措施有关. |
| 英文摘要 |
| 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-1. Bacillariophyta and Chlorophyta were the dominant phyla in the four years, followed by Pyrrophyta and Cryptophyta. The dominant genera were Synedra sp., Chroomonas spp., Aulacoseira spp., Dinobryon sp., Scenedesmus spp. , Fragilaria spp., Mougeotia sp. , Ankistrodesmus sp. , and Euglena 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. |
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