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Environmental flows assessment integrating snow trout habitat requirements in the Shakhimardan basin, Central Asia

Daniel S. HayesBOKU University, Department of Ecosystem Management, Climate and Biodiversity, Institute of Hydrobiology and Aquatic Ecosystem Management, 1180, Wien, AustriaTobias HägeleSJE Ecohydraulic Engineering GmbH, 71522, Backnang, GermanyIanina KopeckiSJE Ecohydraulic Engineering GmbH, 71522, Backnang, GermanyBernhard ZeiringerBOKU University, Department of Ecosystem Management, Climate and Biodiversity, Institute of Hydrobiology and Aquatic Ecosystem Management, 1180, Wien, AustriaE. KarimovDepartment of Zootechnics and Veterinary, Tashkent State Agrarian University, 100140, Tashkent, UzbekistanBakhtiyor KarimovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, 100000, Tashkent, UzbekistanJohan CoeckResearch Institute for Nature and Forest, 1000, Brussels, BelgiumPieterjan VerhelstResearch Institute for Nature and Forest, 1000, Brussels, BelgiumJan De KeyserBOKU University, Department of Landscape, Water and Infrastructure, Institute of Hydraulic Engineering and River Research, 1200, Wien, AustriaOtabek OmonovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, 100000, Tashkent, UzbekistanMatthias SchneiderSJE Ecohydraulic Engineering GmbH, 71522, Backnang, Germany
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Abstract The increasing demand for hydropower development in Central Asia threatens the ecological integrity of high-mountain rivers. This study applies an ecohydraulics-based approach to assess environmental flow requirements for a diversion hydropower project on the Koksu River, Uzbekistan. We integrated high-resolution 2D hydrodynamic modeling with novel habitat data for snow trout ( Schizothorax eurycephalus ), incorporating fuzzy logic sets and rules to model habitat preferences across three life stages. Our findings recommend an environmental flow regime that maintains seasonal variability, with base flows ranging from 10.6% to 17.7% of the mean annual flow, ensuring habitat availability during critical life cycle periods. We contextualize the results within adaptive management frameworks by highlighting preliminary results from an ongoing biotelemetry study. This ecohydraulics-based approach provides a replicable model for environmental flow assessments in Central Asia and beyond.

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