Fish-Net

Probabilistic models for fishway planning, design and monitoring to support environmentally sustainable hydropower

Martin Wilkes, Lee Baumgartner, Craig Boys, Luiz G.M. Silva, Justin O'Connor, Matthew Jones, Ivor Stuart, Evelyn Habit, Oscar Link, J. Angus Webb

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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 designers and combined their knowledge with available empirical data using a formal expert elicitation protocol and Bayesian networks. The expert elicitation method we use minimizes biases typically associated with such approaches. Demonstrating our application with a case-study on the temperate Southern Hemisphere, we use the resulting probabilistic models to predict the following, given alternative design parameters: (i) the effectiveness of technical fishways for upstream movement of migratory fish; (ii) habitat quality in nature-like bypasses for resident fish; and (iii) rates of mortality during downstream passage of all fish through turbines and spillways. The Fish Passage Network (Fish-Net) predicts that fishways for native species could be near 0% or near 100% efficient depending on their design, suggesting great scope for adequate mitigation. Sensitivity analyses revealed the most important parameters as follows: (i) design of attraction and entrance features of technical fishways for upstream migration; (ii) habitat preferences of resident fish in nature-like bypasses; and (iii) susceptibility of fish to barotrauma and blade strike during turbine passage. Numerical modelling predicted that mortality rates of small-bodied fish (50-100 mm TL) due to blade strike may be higher for Kaplan than Francis turbines. Our findings can be used to support environmentally sustainable decisions in the planning, design and monitoring stages of hydropower development.
Original languageEnglish
Pages (from-to)677-697
Number of pages21
JournalFish and Fisheries
Volume19
Issue number4
Early online date10 Apr 2018
DOIs
Publication statusPublished - Jul 2018

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probabilistic models
water power
planning
monitoring
fish
turbines
turbine
bypass
expert opinion
mortality
spillway
habitat quality
habitat selection
native species
Southern Hemisphere
habitat preferences
connectivity
mitigation
dam
indigenous species

Cite this

Wilkes, Martin ; Baumgartner, Lee ; Boys, Craig ; Silva, Luiz G.M. ; O'Connor, Justin ; Jones, Matthew ; Stuart, Ivor ; Habit, Evelyn ; Link, Oscar ; Webb, J. Angus. / Fish-Net : Probabilistic models for fishway planning, design and monitoring to support environmentally sustainable hydropower. In: Fish and Fisheries. 2018 ; Vol. 19, No. 4. pp. 677-697.
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Fish-Net : Probabilistic models for fishway planning, design and monitoring to support environmentally sustainable hydropower. / Wilkes, Martin; Baumgartner, Lee; Boys, Craig; Silva, Luiz G.M.; O'Connor, Justin; Jones, Matthew; Stuart, Ivor; Habit, Evelyn; Link, Oscar; Webb, J. Angus.

In: Fish and Fisheries, Vol. 19, No. 4, 07.2018, p. 677-697.

Research output: Contribution to journalArticle

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AU - Wilkes, Martin

AU - Baumgartner, Lee

AU - Boys, Craig

AU - Silva, Luiz G.M.

AU - O'Connor, Justin

AU - Jones, Matthew

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AU - Webb, J. Angus

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