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两种池塘养殖模式水质因子和浮游植物群落比较分析
引用本文:张雷鸣,原居林,倪蒙,刘梅,郭爱环,练青平,王海洋,顾志敏.两种池塘养殖模式水质因子和浮游植物群落比较分析[J].浙江农业学报,2020,32(2):317.
作者姓名:张雷鸣  原居林  倪蒙  刘梅  郭爱环  练青平  王海洋  顾志敏
作者单位:1.上海海洋大学 水产与生命学院,上海 201306; 2.浙江省淡水水产研究所 农业农村部淡水渔业健康养殖重点实验室,浙江 湖州 313001
基金项目:浙江省重点研发计划(2017C02026,2018C02033); 湖州市乡村振兴专项(2018ZD2025)
摘    要:为揭示池塘内循环流水养殖模式(IPA)池塘和传统池塘养殖模式浮游植物群落的生物多样性,开展了对两种模式水质、浮游植物群落的监测。结果表明,IPA模式共鉴定出浮游植物64种(属),传统池塘养殖模式共鉴定出浮游植物49种(属),且IPA模式池塘浮游植物的平均密度和平均生物量为113.55×106 ind·L-1和52.79 mg·L-1,均高于传统池塘养殖模式的78.37×106 ind·L-1和23.22 mg·L-1。IPA模式浮游植物Shannon-Wiener多样性指数(H’)平均值为3.80,Margalef指数(D)平均值为2.25,均高于传统池塘;典范对应分析(CCA)显示,IPA模式影响浮游植物的主要驱动因子有水温、高锰酸盐指数、总氮、总磷、总有机碳,而传统池塘养殖模式影响浮游植物的主要驱动因子有总氮、总磷、总氨氮、亚硝态氮。

关 键 词:池塘内循环流水养殖模式  浮游植物群落  典范对应分析  
收稿时间:2019-06-17

Comparative analysis of water quality factors and phytoplankton communities in two different aquaculture models
ZHANG Leiming,YUAN Julin,NI Meng,LIU Mei,GUO Aihuan,LIAN Qingping,WANG Haiyang,GU Zhimin.Comparative analysis of water quality factors and phytoplankton communities in two different aquaculture models[J].Acta Agriculturae Zhejiangensis,2020,32(2):317.
Authors:ZHANG Leiming  YUAN Julin  NI Meng  LIU Mei  GUO Aihuan  LIAN Qingping  WANG Haiyang  GU Zhimin
Institution:1.College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China;
2. Key Laboratory of Healthy Freshwater Aquaculture of Ministry of Agriculture and Rural Affairs, Zhejiang Institute of Freshwater Fishries, Huzhou 313001, China
Abstract:In order to reveal the biodiversity of phytoplankton in IPA model and traditional aquaculture ponds, water quality and phytoplankton communities were monitored. The results showed that 64 phytoplankton species were identified in the IPA model, and 49 phytoplankton species were identified in the traditional aquaculture pond, and the average density and biomass of phytoplankton in the IPA model were 113.55×106 ind·L-1 and 52.79 mg·L-1, which were higher than the 78.37×106 ind·L-1 and 23.22 mg·L-1 in the traditional aquaculture pond. The mean values of Shannon-Wiener diversity index (H') and Margalef diversity index (D) in IPA mode were 3.80 and 2.25 respectively, which were higher than those in the traditional aquaculture pond. Canonical correspondence analysis (CCA) showed that water temperature, potassium permanganate index, total nitrogen, total phosphorus and total organic carbon were the main driving factors affecting phytoplankton in IPA mode; total nitrogen, total phosphorus, total ammonia nitrogen and nitrite nitrogen were the main driving factors affecting phytoplankton in the traditional aquaculture pond.
Keywords:internal-circulation pond aquaculture  phytoplankton  canonical correspondence analysis  
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