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dc.contributor.authorNestler, John M.
dc.contributor.authorGosselin, Marie-Pierre
dc.coverage.spatialUSA, Snake River dams, Mississippi River damsen_US
dc.date.accessioned2024-06-06T08:38:53Z
dc.date.available2024-06-06T08:38:53Z
dc.date.created2023-09-14T11:16:04Z
dc.date.issued2023
dc.identifier.citationRivers Research and Applications: an international journal devoted to river research and management. 2023, 39 1994-2008.en_US
dc.identifier.issn1535-1459
dc.identifier.urihttps://hdl.handle.net/11250/3132795
dc.description.abstractNearly 60,000 large dams (higher than 15 m) occur worldwide in addition to an estimated16 million smaller impoundments with individual surface areas larger than 100 m2.Theresulting habitat fragmentation threatens global riverine biodiversity and sustainable fishpopulations. Two opposing approaches for selecting fish passage designs to mitigate riverfragmentation are possible: develop a limited number of standardized (reference) designsfrom which a design for a candidate dam is selected (one-size-fits-all approach) versusconduct scientific fish passage studies specific to each dam and targeted fish species(made-to-order approach). The two approaches vary in probability of effectiveness, costof supporting biological studies, and overall project cost and schedule impact. To addressthis conundrum, we analyzed 73 USA dams to identify two groups that differed markedlyin fish passage planning approaches. Snake River dams are similar in design, flow, geologi-cal setting, and target fish species. By contrast, MississippiRiver dams are relatively dis-similar in design, flow, and geological settingbut generally similar in target fish species.We conclude that the more similar a candidate dam for fish passage is to a reference setof similar dams (i.e., the Snake River dams), then the more likely fish passage technologycanbesuccessfullyextrapolatedtoaproposeddaminthesameoranearbywatershed.As a general strategy, we recommend that damsin a region be clustered using key hydro-logic, structural, operational, and biological variables. These variables can be used toassign a new dam or retrofit an existing dam to a cluster to which they are most similar,thereby optimally extending existing knowledge to new applications. In the process, reli-ance on the less efficient and more expensive made-to-order approach can be reduced. dam mitigation, fish passage, Fish Passage Program, fishway design, fishway planning, riverfragmentationen_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectdam mitigationen_US
dc.subjectfish passageen_US
dc.subjectFish Passage Programen_US
dc.subjectfishway designen_US
dc.subjectfishway planningen_US
dc.subjectriver fragmentationen_US
dc.titleOptimal approach for upstream fish passage design: One-size-fits-all or made-to-order?en_US
dc.title.alternativeOptimal approach for upstream fish passage design: One-size-fits-all or made-to-order?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Authorsen_US
dc.subject.nsiVDP::Zoologiske og botaniske fag: 480en_US
dc.subject.nsiVDP::Zoology and botany: 480en_US
dc.source.pagenumber1994-2008en_US
dc.source.volume39en_US
dc.source.journalRivers Research and Applications: an international journal devoted to river research and managementen_US
dc.identifier.doi10.1002/rra.4208
dc.identifier.cristin2175037
dc.relation.projectEgen institusjon: Norwegian institute for nature research (NINA)en_US
dc.relation.projectAndre: LimnoTechen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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