{"refrec":{"BRefID":344979,"RR":"<b>Bellwood, D.R.</b> (2018). Global drivers of reef fish growth. <i>Fish Fish. 19(5)</i>: 874-889. <a href=\"https://dx.doi.org/10.1111/faf.12297\" target=\"_blank\">https://dx.doi.org/10.1111/faf.12297</a>","BEntID":341614,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Fish Fish. 19(5)</i>: 874-889. <a href=\"https://dx.doi.org/10.1111/faf.12297\" target=\"_blank\">https://dx.doi.org/10.1111/faf.12297</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Bellwood, D.R.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Bellwood, D.R.","Englishabstract":"Few studies have attempted to understand how fish growth scales at community and macroecological levels. This study evaluated the drivers of reef fish growth across a large gradient of environmental variables and a range of morphological and behavioural traits. We compiled Von Bertalanffy Growth parameters for reef fishes and standardized <i>K</i> relative to species maximum sizes, obtaining <i>K</i><sub>max</sub>. We then modelled the response of <i>K</i><sub>max</sub> to body size, diet, body shape, position relative to the reef, schooling behaviour, sea surface temperature, pelagic net primary productivity and ageing method, while accounting for phylogenetic structure in the data. The final model explained 61.5% of the variation in <i>K</i><sub>max</sub> and contained size, temperature, diet, method and position. Body size explained 64% of the modelled <i>K</i><sub>max</sub> variability, while the other variables explained between 6% (temperature) and 2.5% (position). <i>K</i><sub>max</sub> steadily decreased with body size and increased with temperature. All else being equal, herbivores/macroalgivores and pelagic reef fishes had higher growth rates than the other groups. Moreover, length–frequency ageing tended to overestimate <i>K</i><sub>max</sub> compared to other methods (e.g. otolith's rings). Our results are consistent with (a) metabolic theory that predicts body size and temperature dependence of physiological rates; and (b) ecological theory that implies influence of resource availability and acquisition on growth. At last, we use machine learning to accurately predict growth coefficients for combinations of traits and environmental settings. Our study helps to bridge the gap between individual and community growth patterns, providing insights into the role of fish growth in the ecosystem process of biomass accumulation.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Global drivers of reef fish growth","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-06-16 01:33:27.376152","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2018,"MonPub":null,"DateUpdate":"2021-09-20","DateCreate":"2021-09-17","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000443114900010","VABBcode":null,"OpenAcc":0,"DOI":"10.1111/faf.12297"},"refs":null,"anarec":{"AnaID":344979,"PubliDate":2018,"Pagination":"874-889","XtraPublOfAnaID":null,"ISBN":null,"Volume":"19","Issue":"5","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":45641,"SerRR":"Fish and Fisheries. 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ISSN 1467-2960; e-ISSN 1467-2979","StandardTitleSer":"Fish and Fisheries","ISSN":"1467-2960","AbbrevSer":"Fish Fish.","StandardTitleMon":null,"StartPage":874,"Pages":16,"ToPubliDate":null,"BRefBibLvlCode":"S","SerNotes":null},"monrec":null,"serrec":null,"relations":null,"relationsRev":null,"addrec":null,"othpubs":null,"ownerships":null,"authors":[{"AutName":"Morais","Firstname":"Renato","Initials":"R.A.","Affiliation":null,"Discriminator":null,"CorporateFlag":0,"BEntID":341614,"AutID":382996,"OrderNr":1,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":1,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":null,"InsFSN":null,"ORCID":null,"PersID":null,"InsID":null},{"AutName":"Bellwood","Firstname":"David","Initials":"D.R.","Affiliation":null,"Discriminator":null,"CorporateFlag":0,"BEntID":341614,"AutID":186223,"OrderNr":2,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":null,"InsFSN":null,"ORCID":null,"PersID":null,"InsID":null}],"mapdetails":null,"datasets":null,"monographs":null,"monparts":null,"serparts":null,"BEntOpen":null,"BEntPrivate":null,"availability":[{"BInstID":368184,"LibID":36,"BRefID":344979,"EmbargoDate":null,"FullEmbargoDate":null,"PhysMedID":16,"hasOCRd":null,"ShelfLocCode":"368184","RFID":null,"PaidValue":null,"Medium":"Server","Description":"Interne VLIZ documenten","Acronym":"VLIZ","Library":"Vlaams Instituut voor de Zee","DutchTerm":"Non-open access","URL":null,"ClassifID":228,"Classification":"Non-open access","ReqLink":1,"ClassifTypID":3,"URLLocation":"https://www.vliz.be/imisdocs/publications/","SubDir":1,"InternalReq":1,"LoggedInReq":1,"Disclaimer":"Disclaimer_VLIZ_Intern","DutchDisclaimer":"<p>Deze publicatie is enkel beschikbaar voor persoonlijk gebruik binnen de Innovocean site <br />en mag op geen enkele manier verder worden verspreid.</p>","FileFormat":".pdf","FileDescr":"pdf","InsPub":1,"InsID":36,"FileFormID":6,"LendableFlag":1,"PublicFlag":1,"orderLib":"A","Notes":null,"AccConID":null,"AccessConstraint":null,"LicURL":null}],"litstyles":null,"thespers":null,"arch2discl":null,"SERpubls":[{"PublName":"Blackwell Science","City":"Oxford"}],"MONpubls":null,"pictures":[],"thestermsPath":null,"thestermsASFA":null,"taxtermsASFA":null,"geotermsASFA":null,"collections":null,"conf":null,"proj":null,"Physdatasets":null,"spcols":{"1024":{"SpName":"Bio-ORACLE","SpColID":1024,"ParSpColID":923,"TopParID":923,"ShortName":"Bio-ORACLE","URLLocation":null,"LibID":null,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":923,"SpColPath":"Lifewatch ackn/Bio-ORACLE"},"923":{"SpName":"Lifewatch acknowledged","SpColID":923,"ParSpColID":null,"TopParID":null,"ShortName":"Lifewatch ackn","URLLocation":null,"LibID":36,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"Lifewatch ackn"}},"doi":null,"publs":null,"serparttypes":null,"monauthors":null,"MParts":null,"SParts":null,"hLibs":null,"langs":[{"BEntID":341614,"AbstractFlag":0,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"},{"BEntID":341614,"AbstractFlag":1,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"}],"urls":[{"URL":"https://dx.doi.org/10.1111/faf.12297","externalID":"10.1111/faf.12297","URLTypeCode":"DOI","URLID":96709,"URLTypID":13,"URLType":"DOI","URLPrefix":"http://dx.doi.org/"}],"thesterms":null,"taxterms":null,"geoterms":null,"othterms":null,"asfacodes":null,"asfa2codes":null,"thestermsFRIS":null,"taxtermsFRIS":null,"geotermsFRIS":null,"othtermsFRIS":null,"resmessage":"","complete":1,"sessions":{"newSesName":"Bouchti, Zohra, Z.","newSesDate":{"date":"2021-09-17 13:51:24.717000","timezone_type":3,"timezone":"Europe/Brussels"},"updSesName":"Bouchti, Zohra, Z.","updSesDate":{"date":"2021-09-20 09:41:55.343000","timezone_type":3,"timezone":"Europe/Brussels"}}}