Fish‐Net: Probabilistic models for fishway planning, design and monitoring to support environmentally sustainable hydropower

• Published in: Fish and fisheries (Oxford, England) Vol. 19; no. 4; pp. 677 - 697
• Main Authors: Wilkes, Martin, Baumgartner, Lee, Boys, Craig, Silva, Luiz G M, O'Connor, Justin, Jones, Matthew, Stuart, Ivor, Habit, Evelyn, Link, Oscar, Webb, J Angus
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.07.2018
• Subjects: Barotrauma; Barriers; Bayesian analysis; Bayesian theory; blade strike; case studies; Computational fluid dynamics; Dam design; Dam engineering; dams (hydrology); Data processing; Design; Design criteria; Design parameters; Downstream; Ecological distribution; Empirical analysis; Environmental quality; expert opinion; Fish; Fish ladders; Fish migration; fish passage; fishway design; Fishways; Habitat preferences; Habitat selection; Habitats; Hydroelectric dams; Hydroelectric power; hydropower; Indigenous species; Mathematical models; Migration; migratory behavior; Mitigation; Modelling; Monitoring; Mortality; Native organisms; nature‐like bypass; Numerical prediction; Parameter sensitivity; Parameters; planning; Probabilistic models; Probability theory; Sensitivity analysis; Southern Hemisphere; Spillways; Turbine engines; Turbines; Upstream; water power

The construction of fishways for upstream and downstream connectivity is the preferred mitigation measure for hydropower dams and other riverine barriers. Yet empirical evidence for effective design criteria for many species is missing. We therefore assembled a group of international fishway designe...