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Ecohydraulic tools for aquatic fauna habitat and population status assessment, analysis and monitoring aimed at promoting integrated river management

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  • Yao, Weiwei

Abstract

The ecohydraulic modeling framework in ecological systems includes hydro-morphodynamic, habitat, and population models. In this paper, we proposed an ecohydraulic modeling framework that combines numerical methods and ecological theories to explore the dynamics and interplay between fluvial processes in rivers and the quality of physical habitat and density distribution for fish. The practicality of applying the developed system to ecohydraulics modeling was explored through three case studies and compared with as well as validated using observed data. On the basis of the calculated results, the model system was proven to be efficient in describing population dynamics of the European grayling (Thymallus thymallus. L.) in the Aare River in Switzerland. Satisfactory predictions of the long-term population evolution of the rainbow trout (Oncorhynchus mykiss), brown trout (Salmo trutta) and flannelmouth sucker (Catostomus latipinnis) in the Colorado River in the United States (US) were obtained. Furthermore, the effects of Da-Wei Power Plant construction on the Jiao-Mu River in China on the schizothorax (Schizothorax prenanti) and schizothorax (Racoma) fish species were investigated. The efficiency of fish stocking strategies was evaluated and optimal fish stocking numbers were proposed. The resulting ecohydraulic modeling framework provided very promising results, which highlighted the fundamental role of the temporal variability of hydro-morphological parameters in structuring populations of fish species. Using the ecohydraulic modeling framework to simulate population trends in anticipation of any changes in water management can provide decision-makers with valuable prediction results.

Suggested Citation

  • Yao, Weiwei, 2021. "Ecohydraulic tools for aquatic fauna habitat and population status assessment, analysis and monitoring aimed at promoting integrated river management," Ecological Modelling, Elsevier, vol. 456(C).
  • Handle: RePEc:eee:ecomod:v:456:y:2021:i:c:s0304380021002404
    DOI: 10.1016/j.ecolmodel.2021.109682
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    References listed on IDEAS

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    1. Yi, Yujun & Cheng, Xi & Yang, Zhifeng & Wieprecht, Silke & Zhang, Shanghong & Wu, Yingjie, 2017. "Evaluating the ecological influence of hydraulic projects: A review of aquatic habitat suitability models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 748-762.
    2. Wang, Yuankun & Xia, Ziqiang, 2009. "Assessing spawning ground hydraulic suitability for Chinese sturgeon (Acipenser sinensis) from horizontal mean vorticity in Yangtze River," Ecological Modelling, Elsevier, vol. 220(11), pages 1443-1448.
    3. Nagaya, Takayuki & Shiraishi, Yoshiki & Onitsuka, Kouki & Higashino, Makoto & Takami, Tohru & Otsuka, Noriharu & Akiyama, Juichiro & Ozeki, Hiroaki, 2008. "Evaluation of suitable hydraulic conditions for spawning of ayu with horizontal 2D numerical simulation and PHABSIM," Ecological Modelling, Elsevier, vol. 215(1), pages 133-143.
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    1. Shiwei Yang & Yuanqin Wei & Junguang Chen & Yuanming Wang & Ruifeng Liang & Kefeng Li, 2024. "Multi-Objective Optimization and Coordination of Power Generation, Ecological Needs, and Carbon Emissions in Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 123-136, January.
    2. Wang, Qianqian & Li, Pengcheng & Zhang, Wenming & Cong, Nan & Xi, Yuqian & Xiao, Lirong & Wang, Yihang & Yao, Weiwei, 2023. "Evaluating the cascade dam construction effects on endemic fish habitat and population status in spawning sites of Lancang River (in Tibet), China," Ecological Modelling, Elsevier, vol. 483(C).
    3. Li, Pengcheng & Yang, Yang & Zhang, Wenming & Cong, Nan & Yang, Ge & Yao, Weiwei, 2024. "Forebay entrainment risk effects on two fish species in the Williston Reservoir," Ecological Modelling, Elsevier, vol. 487(C).

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