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Advances in the aquatic sciences
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Factors driving temporospatial heterogeneity of fish community health in Jinan City, China

C. S. Zhao A B C , Y. Yang A , S. Yang A B , Y. Gai D , C. Zhang B , H. Zhang E , T. Xu F H , X. Yin G and Z. Zhang D
+ Author Affiliations
- Author Affiliations

A College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing, 100875, PR China.

B School of Geography, Faculty of Geographical Science, Beijing Normal University, 19 Xinjiekouwai Street, Beijing, 100875, PR China.

C ICube, UdS, CNRS (UMR 7357), 300 Boulevard Sebastien Brant, CS 10413, F-67412 Illkirch, France.

D Jinan Survey Bureau of Hydrology and Water Resources, 2 Shanshi North Street, Jinan City, 250013, PR China.

E Dongying Survey Bureau of Hydrology and Water Resources, 40 Zibo Road, Dongying District, Dongying City, 257000, PR China.

F State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, 19 Xinjiekouwai Street, Beijing Normal University, Beijing, 100875, PR China.

G College of Fisheries and Life Science, Dalian Ocean University, 52 Heishijiao Street, Shahekou District, Dalian, 116023, PR China.

H Corresponding author. Email: xutr@bnu.edu.cn

Marine and Freshwater Research 70(5) 637-646 https://doi.org/10.1071/MF18337
Submitted: 6 September 2018  Accepted: 22 December 2018   Published: 28 February 2019

Abstract

Jinan City is the first pilot city for the construction of a hydroecological civilisation in China. Fifty-eight representative river sampling stations were selected through field trips and surveys, and fish were sampled in the spring, summer, and autumn of 2015. An index of fish biological integrity in Jinan City was constructed and to evaluate the hydroecological health of rivers. Canonical correlation analysis was used to select key driving factors that affect the health of the fish community. The results show that the key physical factor affecting water quality was turbidity, the key chemical factor affecting water quality was chemical oxygen demand (COD) and the key hydrological factor affecting water quality was discharge. Of all the driving factors, COD had the greatest effect on the health of the fish community, followed by discharge and turbidity. Macropodus chinensis Bloch was sensitive to changes in COD; Saurogobio dumerili Bleeker and Pseudolaubuca engraulis Nichols were sensitive to the hydrological factors of discharge and flow velocity; and Saurogobio gymnocheilus Lo and Squaliobarbus ourriculus Richardson were sensitive only to discharge. COD and discharge had a strong effect on fish survival, whereas turbidity affected fish survival but was not a major factor affecting the spatial distribution of river health. The findings can provide a reference for aquatic ecological rehabilitation in developing countries.

Additional keywords: hydrology and water quality, rivers.


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