CHEN Si, LI Yitong, CAI Wengui, CHEN Haigang, TIAN Fei, ZHANG Linbao, ZHANG Zhe, GUO Zhixun. Variation characteristics of phytoplankton community in polyculture ponds of Scylla serrata and Penaeus monodon[J]. South China Fisheries Science, 2020, 16(3): 79-85. DOI: 10.12131/20190233
Citation: CHEN Si, LI Yitong, CAI Wengui, CHEN Haigang, TIAN Fei, ZHANG Linbao, ZHANG Zhe, GUO Zhixun. Variation characteristics of phytoplankton community in polyculture ponds of Scylla serrata and Penaeus monodon[J]. South China Fisheries Science, 2020, 16(3): 79-85. DOI: 10.12131/20190233

Variation characteristics of phytoplankton community in polyculture ponds of Scylla serrata and Penaeus monodon

More Information
  • Received Date: November 14, 2019
  • Revised Date: January 09, 2020
  • Accepted Date: February 17, 2020
  • Available Online: March 16, 2020
  • To understand the variation characteristics of phytoplankton population structure in the polyculture ponds of Scylla serrata and Penaeus monodon, we have conducted a monthly survey on the phytoplankton in three cultured ponds in Panyu District, Guangzhou from March to November 2018, and discussed the relationship between phytoplankton and environment factors based on redundancy analysis (RDA). The results show that a total of 29 species in five Phyla were identified, among which the most abundant group was Bacillariophyta, with 19 species accounting for 65.5% of the total species, followed by Cyanophyta (5 species, 17.2%), Pyrrophyta (3 species), Chlorophyta (1 species) and Euglenophyta (1 species). Navicula directa, Nitzschia delicatissima, Gyrosigma acuminatum, Ceratium macroceros and Oscillatoria tenuis were the dominant species during the investigation. The abundance of phytoplankton cells varied from 2.56×103 to 189.2×103 cells·m−3. The variation of Shannon-Weaver diversity index ranged from 0.468 to 2.597. RDA reveals that nutrients, salinity and pH were the primary environmental factors influencing phytoplankton community.

  • [1]
    黄建华, 马之明, 周发林, 等. 池塘养殖斑节对虾的生长特性[J]. 海洋水产研究, 2006, 27(1): 14-20. doi: 10.3969/j.issn.1000-7075.2006.01.003
    [2]
    张新峰, 王淑生. 黄河三角洲地区罗非鱼与凡纳滨对虾混养技术[J]. 渔业致富指南, 2017(13): 21-22.
    [3]
    陈贤龙, 潘雪央. 青蟹与斑节对虾半咸水池塘高效生态混养技术试验[J]. 科学养鱼, 2014(6): 29-31.
    [4]
    李贵生, 何建国. 虾蟹混养与病毒病的传播[J]. 暨南大学学报(自然科学与医学版), 2001, 22(3): 101-104.
    [5]
    唐娅菲, 王金辉, 程宏, 等. 三沙湾春季浮游植物群落结构及其与环境因子的关系[J]. 上海海洋大学学报, 2018, 27(4): 522-530. doi: 10.12024/jsou.20170802123
    [6]
    彭聪聪, 李卓佳, 曹煜成, 等. 虾池浮游微藻的群落结构及其对水环境调控的研究概况[J]. 南方水产, 2010, 6(5): 74-80. doi: 10.3969/j.issn.1673-2227.2010.05.012
    [7]
    李喆, 姜作发, 霍堂斌, 等. 黑龙江中游浮游植物多样性动态变化及水质评价[J]. 中国水产科学, 2012, 19(4): 671-678.
    [8]
    RAVIKUMAR P, MEHMOOD M A, SOMASHEKAR R K. Water quality index to determine the surface water quality of Sankey Tank and Mallathahalli Lake, Bangalore urban district, Karnataka, India[J]. Appl Water Sci, 2013, 3(1): 247-261. doi: 10.1007/s13201-013-0077-2
    [9]
    李俊伟, 朱长波, 颉晓勇, 等. 对虾养殖池塘内混养鲻鱼和罗非鱼对水环境及对虾生长的影响[J]. 生态科学, 2015, 34(6): 86-92.
    [10]
    孔谦. 凡纳滨对虾与鲻鱼混养中精养池的理化生物因子的研究[D]. 湛江: 广东海洋大学, 2010: 12-13.
    [11]
    蔡文贵, 李纯厚, 贾晓平, 等. 粤西海域浮游植物种类的动态变化及多样性[J]. 海洋环境科学, 2003, 22(4): 34-37. doi: 10.3969/j.issn.1007-6336.2003.04.009
    [12]
    毕列爵, 胡征宇.中国淡水藻类[M]. 北京: 科学出版社, 2004:5-195.
    [13]
    郭玉洁, 钱树本.中国海藻志[M]. 北京: 科学出版社, 2003:5-133.
    [14]
    胡鸿钧, 魏印心.中国淡水藻类[M]. 北京: 科学出版社, 1979: 3-1005.
    [15]
    韩茂森. 中国淡水生物图谱[M]. 北京: 海洋出版社, 1995: 20-130.
    [16]
    马放. 环境微生物图谱[M]. 北京: 中国环境科学出版社, 2010:37-71.
    [17]
    徐姗楠, 杨玉滔, 粟丽, 等. 珠江口南沙海域浮游植物群落结构特征[J]. 南方水产科学, 2017, 13(4): 26-33. doi: 10.3969/j.issn.2095-0780.2017.04.004
    [18]
    马建新, 郑振虎, 李云平, 等. 莱州湾浮游植物分布特征[J]. 海洋湖沼通报, 2002(4): 63-67. doi: 10.3969/j.issn.1003-6482.2002.04.011
    [19]
    刘存歧, 孔祥玲, 张治荣, 等. 基于RDA的白洋淀浮游植物群落动态特征分析[J]. 河北大学学报(自然科学版), 2016, 36(3): 278-285.
    [20]
    任辉, 田恬, 杨宇峰, 等. 珠江口南沙河涌浮游植物群落结构时空变化及其与环境因子的关系[J]. 生态学报, 2017, 37(22): 7729-7740.
    [21]
    王敏, 张建云, 陈求稳, 等. 太湖西北湖区2003-2012年间氮磷浓度及浮游植物主要类群变化趋势分析[J]. 生态学报, 2019, 39(1): 164-172.
    [22]
    李由明, 黄翔鹄, 李晓梅. 凡纳滨对虾养殖水体中浮游植物群落的组成分析[J]. 海南热带海洋学院学报, 2012, 19(5): 42-45.
    [23]
    胡晓娟, 李卓佳, 曹煜成, 等. 强降雨对粤西凡纳滨对虾养殖池塘微生物群落的影响[J]. 中国水产科学, 2010, 17(5): 987-995.
    [24]
    TEELING H, FUCHS B M, BECHER D, et al. Substrate-controlled succession of marine bacterioplankton populations induced by a phytoplankton bloom[J]. Science, 2012, 336(6081): 608-611. doi: 10.1126/science.1218344
    [25]
    BURFORD M A, WILLIAMS K C. The fate of nitrogenous waste from shrimp feeding[J]. Aquaculture, 2001, 198(1/2): 0-93.
    [26]
    李志斐, 李家磊, 王金林, 等. 混养鲮对凡纳滨对虾养殖池塘浮游生物群落结构的影响[J]. 河南农业科学, 2018, 47(1): 126-133.
    [27]
    申玉春, 齐明, 朱春华, 等. 凡纳滨对虾不同生长阶段食物组成结构的研究[J]. 广东海洋大学学报, 2010, 30(1): 48-53.
    [28]
    查广才, 周昌清. 恶劣天气对凡纳滨对虾低盐度养殖水体的影响[J]. 信阳师范学院学报 (自然科学版), 2006, 19(4): 414-418.
    [29]
    郭永坚, 朱长波, 阴晓丽, 等. 凡纳滨对虾-鲻网围分隔混养池塘浮游植物群落结构特征的研究[J]. 南方水产科学, 2015, 11(1): 45-54. doi: 10.3969/j.issn.2095-0780.2015.01.007
    [30]
    王旭娜, 江敏, 钟锐, 等. 凡纳滨对虾养殖池塘中浮游植物群落结构与水质因子的关系[J]. 水产学报, 2018, 42(11): 117-133.
    [31]
    彭聪聪, 李卓佳, 曹煜成, 等. 凡纳滨对虾半集约化养殖池塘浮游微藻优势种变动规律及其对养殖环境的影响[J]. 海洋环境科学, 2011, 30(2): 193-198. doi: 10.3969/j.issn.1007-6336.2011.02.010
    [32]
    何京, 陈晨, 王一农, 等. 凡纳滨对虾设施养殖池塘浮游生物群落结构及多样性研究[J]. 生物学杂志, 2015(3): 62-66.
    [33]
    吴斌, 廖思明. 广西北海凡纳滨对虾养殖池塘中微型藻类组成调查[J]. 广西科学, 2008, 15(4): 452-455. doi: 10.3969/j.issn.1005-9164.2008.04.034
    [34]
    谢立民, 林小涛, 许忠能, 等. 不同类型虾池的理化因子及浮游植物群落的调查[J]. 生态科学, 2003, 22(1): 34-37. doi: 10.3969/j.issn.1008-8873.2003.01.009
    [35]
    周晴, 陈柏娟, 娄方瑞, 等. 岩滩水库浮游植物多样性与环境因子的灰色关联性分析[J]. 广东农业科学, 2015, 42(3): 140-146, 152. doi: 10.3969/j.issn.1004-874X.2015.03.030
    [36]
    武秀国, 苏彦平, 陈修报, 等. 不同养殖类型池塘藻类群落特征[J]. 江苏农业科学, 2015, 43(1): 227-230.
    [37]
    宋庆洋, 米武娟, 王斌梁, 等. 稻虾共作水体浮游植物群落结构特征分析[J]. 水生生物学报, 2019, 43(2): 187-194.
  • Related Articles

    [1]HU Xiaojuan, YANG Keng, WEN Guoliang, SU Haochang, XU Yunna, XU Chuangwen, XU Yu, XU Wujie, CAO Yucheng. Algicidal effect of bacteria CZBC1 on Microcystis aeruginosa in chloride type saline-alkali water[J]. South China Fisheries Science, 2024, 20(5): 169-175. DOI: 10.12131/20240142
    [2]Cover[J]. South China Fisheries Science, 2023, 19(4).
    [3]Cover[J]. South China Fisheries Science, 2023, 19(3).
    [4]cover[J]. South China Fisheries Science, 2022, 18(6).
    [5]cover[J]. South China Fisheries Science, 2022, 18(5).
    [6]cover[J]. South China Fisheries Science, 2022, 18(4).
    [7]cover[J]. South China Fisheries Science, 2022, 18(3).
    [8]WANG Hewei, ZHANG Zhe, MA Shengwei, CHEN Haigang, HUANG Zhifei, GONG Xiuyu, CAI Wengui, JIA Xiaoping. Effect of perfluorooctane sulfonate potassium on glutathione content and glutathione S-transferase activity of red sea bream[J]. South China Fisheries Science, 2012, 8(4): 23-28. DOI: 10.3969/j.issn.2095-0780.2012.04.004
    [9]CENG Shaokui, YANG Ping, CHEN Xiuhong. Study on the removal of fish odour and bitter from protein hydrolysates of tilapia by-products by microorganism fermentation[J]. South China Fisheries Science, 2009, 5(4): 58-63. DOI: 10.3969/j.issn.1673-2227.2009.04.011
    [10]CHEN Haigang, MA Shengwei, LIN Qin, GAN Juli, CAI Wengui, JIA Xiaoping. Effects of tributyltin chloride (TBTCl) on SOD activities, MDA contents and GPx activities in gill and liver of the black porgy (Sparus macrocephalus)[J]. South China Fisheries Science, 2009, 5(2): 23-27. DOI: 10.3969/j.issn.1673-2227.2009.02.004
  • Other Related Supplements

  • Cited by

    Periodical cited type(3)

    1. 万树杰,陈新军. 基于机器学习的西南印度洋深海散射层声学资源密度预测. 上海海洋大学学报. 2024(06): 1357-1368 .
    2. 赵旺,陈旭,陈明强,黄星美,邓正华,温为庚,王江勇. 鸢乌贼为蛋白源的方斑东风螺人工配合饲料养殖研究. 广东农业科学. 2023(04): 115-122 .
    3. 田振中,樊丽花,董海隆. 融合随机森林与多变量灰色的道路交通事故预测模型研究. 警察技术. 2023(05): 78-81 .

    Other cited types(4)

Catalog

    Article views (4034) PDF downloads (73) Cited by(7)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return