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

Jingyun Yin (), Jihong Xia (), Zhichang Xia, Wangwei Cai, Zewen Liu, Kejun Xu, Yue Wang, Rongzhen Zhang and Xu Dong
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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

Sustainability, 2022, vol. 14, issue 21, 1-20

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.

Keywords: Cladocera; Copepoda; freshwater reservoir; water environment; Rotifera; ZooScan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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