IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p13719-d950731.html
   My bibliography  Save this article

Temporal Variation and Spatial Distribution in the Water Environment Helps Explain Seasonal Dynamics of Zooplankton in River-Type Reservoir

Author

Listed:
  • Jingyun Yin

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China)

  • Jihong Xia

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China)

  • Zhichang Xia

    (Wenzhou Water Resources and Conservancy Bureau, Wenzhou 325000, China)

  • Wangwei Cai

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China)

  • Zewen Liu

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China)

  • Kejun Xu

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China)

  • Yue Wang

    (College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China)

  • Rongzhen Zhang

    (Wenzhou Water Resources and Conservancy Bureau, Wenzhou 325000, China)

  • Xu Dong

    (Wenzhou Water Resources and Conservancy Bureau, Wenzhou 325000, China)

Abstract

Integrated assessment of the water environment has become widespread in many rivers, lakes, and reservoirs; however, aquatic organisms in freshwater are often overlooked in this process. Zooplankton, as primary consumers, are sensitive and responsive to changes in the water environment. Water and zooplankton samples were collected on-site at Shanxi Reservoir quarterly to determine 12 water environmental indicators and to quantify the abundance of zooplankton of Cladocera, Copepoda and Rotifera by using the ZooScan zooplankton image-scanning analysis system, combined with OLYMPUS BX51 using machine learning recognition classification. The aim was to explore the relationship between water environmental factors and zooplankton through their spatial and temporal heterogeneity. Through principal component analysis, redundancy analysis and cluster analysis, variations in the factors driving zooplankton population growth in different seasons could be identified. At the same time, different taxa of zooplankton can form clusters with related water environmental factors during the abundant water period in summer and the dry water period in winter. Based on long-term monitoring, zooplankton can be used as a comprehensive indicator for water environment and water ecological health evaluation, as well as providing scientific support for regional water resources deployment and management.

Suggested Citation

  • Jingyun Yin & Jihong Xia & Zhichang Xia & Wangwei Cai & Zewen Liu & Kejun Xu & Yue Wang & Rongzhen Zhang & Xu Dong, 2022. "Temporal Variation and Spatial Distribution in the Water Environment Helps Explain Seasonal Dynamics of Zooplankton in River-Type Reservoir," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13719-:d:950731
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/13719/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/21/13719/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephan C. Rhode & Markus Pawlowski & Ralph Tollrian, 2001. "The impact of ultraviolet radiation on the vertical distribution of zooplankton of the genus Daphnia," Nature, Nature, vol. 412(6842), pages 69-72, July.
    2. James J. Elser & William F. Fagan & Robert F. Denno & Dean R. Dobberfuhl & Ayoola Folarin & Andrea Huberty & Sebastian Interlandi & Susan S. Kilham & Edward McCauley & Kimberly L. Schulz & Evan H. Sie, 2000. "Nutritional constraints in terrestrial and freshwater food webs," Nature, Nature, vol. 408(6812), pages 578-580, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hailiang Li & M. James C. Crabbe & Haikui Chen, 2020. "History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    2. Law, Tony & Zhang, Weitao & Zhao, Jingyang & Arhonditsis, George B., 2009. "Structural changes in lake functioning induced from nutrient loading and climate variability," Ecological Modelling, Elsevier, vol. 220(7), pages 979-997.
    3. Stech, Harlan & Peckham, Bruce & Pastor, John, 2012. "Enrichment in a general class of stoichiometric producer–consumer population growth models," Theoretical Population Biology, Elsevier, vol. 81(3), pages 210-222.
    4. Zhengkun Hu & Manuel Delgado-Baquerizo & Nicolas Fanin & Xiaoyun Chen & Yan Zhou & Guozhen Du & Feng Hu & Lin Jiang & Shuijin Hu & Manqiang Liu, 2024. "Nutrient-induced acidification modulates soil biodiversity-function relationships," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Marcin Dębowski & Marta Kisielewska & Joanna Kazimierowicz & Aleksandra Rudnicka & Magda Dudek & Zdzisława Romanowska-Duda & Marcin Zieliński, 2020. "The effects of Microalgae Biomass Co-Substrate on Biogas Production from the Common Agricultural Biogas Plants Feedstock," Energies, MDPI, vol. 13(9), pages 1-13, May.
    6. Yang Ma & Chunlai Zhang & Hui Yang & Yikai Xu & Yan Chen & Jing Ning, 2023. "The Characteristics of Soil C, N and P and Stoichiometric Ratios as Affected by Land-Use in a Karst Area, Southwest China," Land, MDPI, vol. 12(6), pages 1-17, May.
    7. Gang Hu & Xiaoxing Huang & Siyu Chen & Cong Hu & Chaofang Zhong & Chaohao Xu & Zhonghua Zhang, 2024. "Biotic and Abiotic Factors Affecting Soil C, N, P and Their Stoichiometries under Different Land-Use Types in a Karst Agricultural Watershed, China," Agriculture, MDPI, vol. 14(7), pages 1-19, July.
    8. Luyun Chen & Yongheng Gao, 2022. "Global Climate Change Effects on Soil Microbial Biomass Stoichiometry in Alpine Ecosystems," Land, MDPI, vol. 11(10), pages 1-16, September.
    9. Josep Penuelas & Tamás Krisztin & Michael Obersteiner & Florian Huber & Hannes Winner & Ivan A. Janssens & Philippe Ciais & Jordi Sardans, 2020. "Country-Level Relationships of the Human Intake of N and P, Animal and Vegetable Food, and Alcoholic Beverages with Cancer and Life Expectancy," IJERPH, MDPI, vol. 17(19), pages 1-15, October.
    10. Zhiwei Cao & Xi Fang & Wenhua Xiang & Pifeng Lei & Changhui Peng, 2020. "The Vertical Differences in the Change Rates and Controlling Factors of Soil Organic Carbon and Total Nitrogen along Vegetation Restoration in a Subtropical Area of China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    11. Jie Zhang & Yaojun Liu & Taihui Zheng & Xiaomin Zhao & Hongguang Liu & Yongfen Zhang, 2021. "Nutrient and Stoichiometric Characteristics of Aggregates in a Sloping Farmland Area under Different Tillage Practices," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    12. Elser, James J. & Loladze, Irakli & Peace, Angela L. & Kuang, Yang, 2012. "Lotka re-loaded: Modeling trophic interactions under stoichiometric constraints," Ecological Modelling, Elsevier, vol. 245(C), pages 3-11.
    13. Bandara, Kanchana & Varpe, Øystein & Ji, Rubao & Eiane, Ketil, 2018. "A high-resolution modeling study on diel and seasonal vertical migrations of high-latitude copepods," Ecological Modelling, Elsevier, vol. 368(C), pages 357-376.
    14. Mengdie Feng & Dengyu Zhang & Binghui He & Ke Liang & Peidong Xi & Yunfei Bi & Yingying Huang & Dongxin Liu & Tianyang Li, 2021. "Characteristics of Soil C, N, and P Stoichiometry as Affected by Land Use and Slope Position in the Three Gorges Reservoir Area, Southwest China," Sustainability, MDPI, vol. 13(17), pages 1-13, September.
    15. Xiaobo Huang & Xuedong Lang & Shuaifeng Li & Wande Liu & Jianrong Su, 2022. "Leaf Carbon, Nitrogen and Phosphorus Stoichiometry in a Pinus yunnanensis Forest in Southwest China," Sustainability, MDPI, vol. 14(10), pages 1-10, May.
    16. Tijani, Hamzat & Abdullah, Norhayati & Yuzir, Ali, 2015. "Integration of microalgae biomass in biomethanation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1610-1622.
    17. Prado, Patricia & Ibáñez, Carles & Caiola, Nuno & Reyes, Enrique, 2013. "Evaluation of seasonal variability in the food-web properties of coastal lagoons subjected to contrasting salinity gradients using network analyses," Ecological Modelling, Elsevier, vol. 265(C), pages 180-193.
    18. Guanghua Jing & Tianming Hu & Jian Liu & Jimin Cheng & Wei Li, 2020. "Biomass Estimation, Nutrient Accumulation, and Stoichiometric Characteristics of Dominant Tree Species in the Semi-Arid Region on the Loess Plateau of China," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    19. Jankowska, Ewelina & Sahu, Ashish K. & Oleskowicz-Popiel, Piotr, 2017. "Biogas from microalgae: Review on microalgae's cultivation, harvesting and pretreatment for anaerobic digestion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 692-709.
    20. Peacor, Scott D. & Allesina, Stefano & Riolo, Rick L. & Hunter, Tim S., 2007. "A new computational system, DOVE (Digital Organisms in a Virtual Ecosystem), to study phenotypic plasticity and its effects in food webs," Ecological Modelling, Elsevier, vol. 205(1), pages 13-28.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13719-:d:950731. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.