2021
DOI: 10.1002/rra.3803
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Identifying and mitigating systematic biases in fish habitat simulation modeling: Implications for estimating minimum instream flows

Abstract: Habitat simulation approaches (e.g., PHABSIM) have been used to model instream flows in thousands of streams and rivers and remain the most widely implemented detailed instream flow methodology. However, recent studies suggest that conventional habitat simulation models incorporate assumptions that may systematically underestimate instream flow needs, particularly for drift-feeding fish. These include:(i) systematic biases in velocity habitat suitability curves (HSCs) caused by territorial-

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Cited by 8 publications
(1 citation statement)
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References 64 publications
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“…However, drift-feeders often wait for prey in velocity shelters that reduce swimming speed. Therefore, if we measure water velocity at a fish's waiting position, we underestimate the larger-scale velocity it needs to deliver food, thereby biasing instream flow recommendations toward lower flows (Railsback, 1999(Railsback, , 2016Rosenfeld & Naman, 2021). Driftfeeders also avoid cover that would interfere with prey capture but prefer cover further away but close enough to escape predators in.…”
Section: Why Spatial Resolution Is Importantmentioning
confidence: 99%
“…However, drift-feeders often wait for prey in velocity shelters that reduce swimming speed. Therefore, if we measure water velocity at a fish's waiting position, we underestimate the larger-scale velocity it needs to deliver food, thereby biasing instream flow recommendations toward lower flows (Railsback, 1999(Railsback, , 2016Rosenfeld & Naman, 2021). Driftfeeders also avoid cover that would interfere with prey capture but prefer cover further away but close enough to escape predators in.…”
Section: Why Spatial Resolution Is Importantmentioning
confidence: 99%