Ecological Modeling for Resource Management 2003
DOI: 10.1007/0-387-21563-8_3
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Modeling Fish Entrainment and Impingement Impacts: Bridging Science and Policy

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Cited by 2 publications
(3 citation statements)
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“…Turbine passage mortality has the potential to reduce recruitment from above the dam and thus negatively impact downstream populations (Winkle & Kadvany, ). High mortality associated with turbine passage has the potential to limit or even halt downstream movement (Cada, ; Pracheil, DeRolph, et al., ).…”
Section: Review Of Evidence For Turbine Passage and Impacts On Downstmentioning
confidence: 99%
“…Turbine passage mortality has the potential to reduce recruitment from above the dam and thus negatively impact downstream populations (Winkle & Kadvany, ). High mortality associated with turbine passage has the potential to limit or even halt downstream movement (Cada, ; Pracheil, DeRolph, et al., ).…”
Section: Review Of Evidence For Turbine Passage and Impacts On Downstmentioning
confidence: 99%
“…. 27 If modeling or empirical study are required, what kinds of requirements are useful for ensuring useful results? Both the Riverkeeper and the EPA have commented on the practical need to simplify 316(b) implementation, reacting in part to the challenges in assessing and modeling fish population changes due to a CWIS.…”
Section: Science or Knowledge Basementioning
confidence: 99%
“…16 For an example for which declines in a single local winter flounder species (Niantic River, Connecticut, stock) becomes a special focus, see Lorda et al [25] Lohner et al [24] is an example in which the aggregation from stochastic process to outputs more useful to decision making is carried out in some detail. On the important role played by modelers in making science useful for policy see Jasanoff [26] and van Winkle and Kadvany [27]. 18 For an example in which fisheries valuation approaches were utilized, see Bailey et al [18] For a site-specific approach involving lower trophic levels, see California Energy Commission [17].…”
mentioning
confidence: 99%