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dc.contributor.authorRobert, Dominique
dc.contributor.authorShoji, Jun
dc.contributor.authorSirois, Pascal
dc.contributor.authorTakasuka, Akinori
dc.contributor.authorCatalán, Ignacio A.
dc.contributor.authorFolkvord, Arild
dc.contributor.authorLudsin, Stuart A.
dc.contributor.authorPeck, Myron A.
dc.contributor.authorSponaugle, Su
dc.contributor.authorAyón, Patricia M.
dc.contributor.authorBrodeur, Richard D.
dc.contributor.authorCampbell, Emily Y.
dc.contributor.authorD'Alessandro, Evan K.
dc.contributor.authorDower, John F.
dc.contributor.authorFortier, Louis
dc.contributor.authorGarcía, Alberto G.
dc.contributor.authorHuebert, Klaus B.
dc.contributor.authorHufnagl, Marc
dc.contributor.authorIto, Shin-ichi
dc.contributor.authorJoh, Mikimasa
dc.contributor.authorJuanes, Francis
dc.contributor.authorNyuji, Mitsuo
dc.contributor.authorOozeki, Yoshioki
dc.contributor.authorPlaza, Guido
dc.contributor.authorTakahashi, Motomitsu
dc.contributor.authorTanaka, Yosuke
dc.contributor.authorTojo, Naoki
dc.contributor.authorWatari, Shingo
dc.contributor.authorYasue, Naotaka
dc.contributor.authorPepin, Pierre
dc.date.accessioned2024-04-10T13:20:00Z
dc.date.available2024-04-10T13:20:00Z
dc.date.created2023-09-04T10:05:14Z
dc.date.issued2023
dc.identifier.issn1467-2960
dc.identifier.urihttps://hdl.handle.net/11250/3125853
dc.description.abstractEarly life survival is critical to successful replenishment of fish populations, and hypotheses developed under the Growth-Survival Paradigm (GSP) have guided investigations of controlling processes. The GSP postulates that recruitment depends on growth and mortality rates during early life stages, as well as their duration, after which the mortality declines substantially. The GSP predicts a shift in the frequency distribution of growth histories with age towards faster growth rates relative to the initial population because slow-growing individuals are subject to high mortality (via starvation and predation). However, mortality data compiled from 387 cases published in 153 studies (1971–2022) showed that the GSP was only supported in 56% of cases. Selection against slow growth occurred in two-thirds of field studies, leaving a non-negligible fraction of cases showing either an absence of or inverse growth-selective survival, suggesting the growth-survival relationship is more complex than currently considered within the GSP framework. Stochastic simulations allowed us to assess the influence of key intrinsic and extrinsic factors on the characteristics of surviving larvae and identify knowledge gaps on the drivers of variability in growth-selective survival. We suggest caution when interpreting patterns of growth selection because changes in variance and autocorrelation of individual growth rates among cohorts can invalidate fundamental GSP assumptions. We argue that breakthroughs in recruitment research require a comprehensive, population-specific characterization of the role of predation and intrinsic factors in driving variability in the distribution and autocorrelation of larval growth rates, and of the life stage corresponding to the endpoint of pre-recruited life.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleLife in the fast lane: Revisiting the fast growth—High survival paradigm during the early life stages of fishesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 the authorsen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1111/faf.12774
dc.identifier.cristin2171984
dc.source.journalFish and Fisheriesen_US
dc.source.pagenumber863-888en_US
dc.identifier.citationFish and Fisheries. 2023, 24 (5), 863-888.en_US
dc.source.volume24en_US
dc.source.issue5en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal