Volume 17 Issue 3
Jun.  2021
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ZHANG Xiaolei, WANG Qiang, ZHANG Guoqi, ZHOU Lu, LI Tingfa, ZHANG Yu, ZHAO Siya. Spatial variation of phytoplankton community structure of in-pond raceway system[J]. South China Fisheries Science, 2021, 17(3): 36-45. DOI: 10.12131/20210004
Citation: ZHANG Xiaolei, WANG Qiang, ZHANG Guoqi, ZHOU Lu, LI Tingfa, ZHANG Yu, ZHAO Siya. Spatial variation of phytoplankton community structure of in-pond raceway system[J]. South China Fisheries Science, 2021, 17(3): 36-45. DOI: 10.12131/20210004
shu

Spatial variation of phytoplankton community structure of in-pond raceway system

  • 1.

    East China Normal University, Shanghai 201100, China

  • 2.

    Shanghai Songjiang District Aquatic Products Breeding Farm, Shanghai 201616, China

  • 3.

    Colead (Shanghai) Biotech Co. Ltd., Shanghai 201613, China

More Information
  • Received Date: January 04, 2021
  • Revised Date: January 28, 2021
  • Accepted Date: February 07, 2021
  • Available Online: March 05, 2021
    Graphical Abstract
    • Abstract
  • The in-pond raceway system (IPRS) based on intensive production of ponds is an emerging aquaculture model. In order to further understand the ecological structure dynamics of this system's water body circulation process and to reveal the change characteristics of water quality in purification area, we studied the spatial variability of phytoplankton community structure and the relationship between the phytoplankton community structure changes and the environmental factors by Redundancy Analysis (RDA) during the growing season in IPRS of grass carp (Ctenopharyngodon idella). The system identified 99 species of phytoplankton in seven phyla, mainly including Cyanophyta, Chlorophyte, Bacillariophyta, Euglenophyta, Cryptophyta, Pyrrophyta and Chrysophyta. Chlorophyta had the largest number of species (54 species), followed by Cyanophyta (18 species). In this system, the phytoplankton community structure in different areas was different. The density and biomass of phytoplankton in the middle of the purification area were the highest, and those of Cyanophyta in the purification area were higer than that in the culture area. The relative density of Cyanophyta in different areas was much higher than those of Chlorophyta and Bacillariophyta. From the front to the back of the purification zone, the relative density of Cyanophyta gradually increased, while those of Chlorophyta and Bacillariophyta gradually decreased. The results of RDA show that the main environmental factors that affect the changes in the phytoplankton community structure in the system are temperature, nitrogen and phosphorus nutrients.
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  • [1]
    农业农村部渔业渔政管理局. 2019中国渔业统计年鉴[M]. 北京: 中国农业出版社, 2019: 49.
    [2]
    POUIL S, SAMSUDIN R, SLEMBROUCK J, et al. Nutrient budgets in a small-scale freshwater fish pond system in Indonesia[J]. Aquaculture, 2019, 504(1): 267-274.
    [3]
    NHAN D K, VERDEGEM M C J, MILSTEIN A, et al. Water and nutrient budgets of ponds in integrated agriculture-aquaculture systems in the Mekong Delta, Vietnam[J]. Aquacult Res, 2008, 39(11): 1216-1228. doi: 10.1111/j.1365-2109.2008.01986.x
    [4]
    WANG J, BEUSEN A H W, LIU X, et al. Aquaculture production is a large, spatially concentrated source of nutrients in Chinese freshwater and coastal seas[J]. Environ Sci Technol, 2020, 54(3): 1464-1474. doi: 10.1021/acs.est.9b03340
    [5]
    LI X, LI J, WANG Y, et al. Aquaculture industry in China: current state, challenges, and outlook[J]. Rev Fish Sci, 2011, 19(3): 187-200. doi: 10.1080/10641262.2011.573597
    [6]
    蔡珀, 周恩华. 美国低碳高效池塘循环流水精养新技术[J]. 海洋与渔业: 水产前沿, 2012(6): 68-72.
    [7]
    BROWN T W, CHAPPELL J A, BOYD C E. A commercial-scale, in-pond raceway system for Ictalurid catfish production[J]. Aquacult Engin, 2011, 44(3): 72-79. doi: 10.1016/j.aquaeng.2011.03.003
    [8]
    WANG Y Y, XU G C, NIE Z J, et al. Effect of stocking density on growth, serum biochemical parameters, digestive enzymes activity and antioxidant status of largemouth bass, Micropterus salmoides[J]. Pakistan J Zool, 2019, 51(4): 1509-1517.
    [9]
    BOYD C E. Water quality[M]. Cham: Springer International Publishing AG, 2015: 273-274.
    [10]
    LANDA M, BLAIN S, CHRISTAKI U, et al. Shifts in bacterial community composition associated with increased carbon cycling in a mosaic of phytoplankton blooms[J]. ISME J, 2015, 10(1): 39-50.
    [11]
    LOGUE J B, STEDMON C A, KELLERMAN A M, et al. Experimental insights into the importance of aquatic bacterial community composition to the degradation of dissolved organic matter[J]. ISME J, 2015, 10(3): 533-45.
    [12]
    LUCAS R, COURTIES C, HERBLAND A, et al. Eutrophication in a tropical pond: understanding the bacterioplankton and phytoplankton dynamics during a vibriosis outbreak using flow cytometric analyses[J]. Aquaculture, 2010, 310(1): 112-121.
    [13]
    GIRIPUNJE M D, FULKE A B, KHAIRNAR K, et al. A review of phytoplankton ecology in freshwater lakes of India[J]. Lakes, Reserv Ponds, 2013, 7(2): 127-141.
    [14]
    陈思, 李艺彤, 蔡文贵, 等. 虾蟹混养池塘浮游植物群落结构的变化特征[J]. 南方水产科学, 2020, 16(3): 79-85.
    [15]
    翁丽萍, 邹礼根, 邱静, 等. 池塘内循环“水槽式”与池塘传统养殖青鱼的肌肉质构差异分析[J]. 科学养鱼, 2018(1): 72-73.
    [16]
    YUAN J, NI M, LIU M, et al. Analysis of the growth performances, muscle quality, blood biochemistry and antioxidant status of Micropterus salmoides farmed in in-pond raceway systems versus usual-pond systems[J]. Aquaculture, 2019, 511: 734241.
    [17]
    BROWN T W, HANSON T R, CHAPPELL J A, et al. Economic feasibility of an in-pond raceway system for commercial catfish production in west Alabama[J]. North Am J Aquacult, 2014, 76(1): 79-89. doi: 10.1080/15222055.2013.862195
    [18]
    RAMOS S, COWEN R K, RÉ P, et al. Temporal and spatial distributions of larval fish assemblages in the Lima estuary (Portugal)[J]. Estuar Coast Shelf Sci, 2006, 66(1): 303-14.
    [19]
    WONGKIEW S, HU Z, CHANDRAN K, et al. Nitrogen transformations in aquaponic systems: a review[J]. Aquacult Engin, 2017, 76(1): 9-19.
    [20]
    GRABER A, JUNGE R. Aquaponic systems: nutrient recycling from fish wastewater by vegetable production[J]. Desalination, 2009, 246(1/2/3): 147-156.
    [21]
    DUPUIS A P, HANN B J. Warm spring and summer water temperatures in small eutrophic lakes of the Canadian prairies: potential implications for phytoplankton and zooplankton[J]. J Plankton Res, 2009, 5(1): 489-502.
    [22]
    郑淑娴, 黄彬彬, 戴明. 水体悬浮物增加对浮游植物种群增长的影响研究[J]. 海洋湖沼通报, 2020, 172(1): 145-152.
    [23]
    HE Q, QIU Y, LIU H, et al. New insights into the impacts of suspended particulate matter on phytoplankton density in a tributary of the Three Gorges Reservoir, China[J]. Sci Rep, 2017, 7(1): 13518. doi: 10.1038/s41598-017-13235-0
    [24]
    GUINDER V A, POPOVICH C A, PERILLO G M E. Particulate suspended matter concentrations in the Bahía Blanca Estuary, Argentina: implication for the development of phytoplankton blooms[J]. Estuar Coast Shelf Sci, 2009, 85(1): 157-165. doi: 10.1016/j.ecss.2009.05.022
    [25]
    MANSOURI H, MANSOURI H, TALEBIZADEH B, et al. Study on the effect of sodium nitroprusside on growth and nitrogen fixation in blue-green algae nostoc linckia[J]. Iran J Sci Technol, 2019, 43(5): 2083-2090. doi: 10.1007/s40995-018-0589-6
    [26]
    KARLSON A M L, DUBERG J, MOTWANI N H, et al. Nitrogen fixation by cyanobacteria stimulates production in Baltic food webs[J]. Ambio, 2015, 44(S3): 413-426. doi: 10.1007/s13280-015-0660-x
    [27]
    HOWARTH R W, HOWARTH R W, MARINO R, et al. Nitrogen fixation in freshwater, estuarine, and marine ecosystems. 1. Rates and importance[J]. Limnol Oceanogr, 1988, 33(4): 669-687.
    [28]
    SHAPIRO J. Current beliefs regarding dominance by blue-greens: the case for the importance of CO2 and pH[J]. Verh Int Verein Limnol, 2017, 24(1): 38-54.
    [29]
    SILVA C A D, TRAIN S, RODRIGUES L C. Phytoplankton assemblages in a Brazilian subtropical cascading reservoir system[J]. Hydrobiologia, 2005, 537(1/2/3): 99-109.
    [30]
    李卓佳, 梁伟峰, 陈素文, 等. 虾池常见微藻的光照强度、温度和盐度适应性[J]. 生态学杂志, 2008, 27(3): 397-400.
    [31]
    乔麟, 张曼, 李学军, 等. 草鱼 (Ctenopharyngodon idellus) 集约化养殖中浮游植物对饲料氮磷比的响应[J]. 生态科学, 2017, 36(4): 95-100.
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