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Relationship between the Main Communities and Environments of an Urban River and Reservoir: Considering Integrated Structural and Functional Assessments of Ecosystems

Author

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  • Dehao Tang

    (School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510006, China
    Key Laboratory of Marine Resources and Coastal Engineering in Guangdong Province, Guangzhou 510006, China
    These authors contribute equally to this paper.)

  • Xingjian Liu

    (CAS Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Guangzhou 510301, China)

  • Xutao Wang

    (Scientific Institute of Pearl River Water Resources Protection, Guangzhou 510611, China
    These authors contribute equally to this paper.)

  • Kedong Yin

    (School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510006, China
    Key Laboratory of Marine Resources and Coastal Engineering in Guangdong Province, Guangzhou 510006, China
    These authors contribute equally to this paper.)

Abstract

Rivers and reservoirs in urban areas have been associated with environmental quality problems because of the discharge of domestic waste into water bodies. However, the key effects and the extent to which environmental factors can influence the integrated structure and function of urban river ecosystems remain largely unknown. Here, a relationship model involving the species composition of the community and the various environmental factors related to the water and sediment was developed in the dry season (N) and the flood season (F) in both the urban Jiaomen River (JR) and the Baihuitian Reservoir (BR) of Guangzhou City. Canonical correspondence analysis was used to determine the spatiotemporal drivers of the phytoplankton, zooplankton and macrobenthic communities in the river and reservoir systems. The combination of the thermodynamic-oriented ecological indicators and the biodiversity measures reflected the integrated structure and function of the ecosystems. Overall, the plankton community composition was found to be largely determined by the nutrient concentrations and oxygen index, and the development of the macrobenthic communities was mainly restricted by organic matter and heavy metals. Based on the results of the integrated assessment, the structure and function of the JR ecosystem were superior to that of the BR, and the F period displayed healthier results than the N period. Moreover, the structural and functional statuses of the high eco-exergy grade communities (macrobenthic communities) in the ecosystem influenced the regional changes observed in the results of the integrated assessment. The significant seasonal variations in the plankton community affected the seasonal variations in the integrated assessment. The results of this study provide a scientific basis for the management and restoration of regional freshwater environments and ecosystems.

Suggested Citation

  • Dehao Tang & Xingjian Liu & Xutao Wang & Kedong Yin, 2018. "Relationship between the Main Communities and Environments of an Urban River and Reservoir: Considering Integrated Structural and Functional Assessments of Ecosystems," IJERPH, MDPI, vol. 15(10), pages 1-22, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2302-:d:176907
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    References listed on IDEAS

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    1. Bilgen, Selçuk & Sarıkaya, İkbal, 2015. "Exergy for environment, ecology and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1115-1131.
    2. Ludovisi, Alessandro & Jørgensen, Sven Erik, 2009. "Comparison of exergy found by a classical thermodynamic approach and by the use of the information stored in the genome," Ecological Modelling, Elsevier, vol. 220(16), pages 1897-1903.
    3. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    4. Bark, Rosalind H. & Colloff, Matthew J. & Hatton MacDonald, Darla & Pollino, Carmel A. & Jackson, Sue & Crossman, Neville D., 2016. "Integrated valuation of ecosystem services obtained from restoring water to the environment in a major regulated river basin," Ecosystem Services, Elsevier, vol. 22(PB), pages 381-391.
    5. Derek P. Tittensor & Camilo Mora & Walter Jetz & Heike K. Lotze & Daniel Ricard & Edward Vanden Berghe & Boris Worm, 2010. "Global patterns and predictors of marine biodiversity across taxa," Nature, Nature, vol. 466(7310), pages 1098-1101, August.
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