{"refrec":{"BRefID":301141,"RR":"<b>Huebert, K.B.; Pätsch, J.; Hufnagl, M.; Kreus, M.; Peck, M.A.</b> (2018). Modeled larval fish prey fields and growth rates help predict recruitment success of cod and anchovy in the North Sea. <i>Mar. Ecol. Prog. Ser. 600</i>: 111-126. <a href=\"https://dx.doi.org/10.3354/meps12615\" target=\"_blank\">https://dx.doi.org/10.3354/meps12615</a>","BEntID":293380,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Mar. Ecol. Prog. Ser. 600</i>: 111-126. <a href=\"https://dx.doi.org/10.3354/meps12615\" target=\"_blank\">https://dx.doi.org/10.3354/meps12615</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Huebert, K.B.; Pätsch, J.; Hufnagl, M.; Kreus, M.; Peck, M.A.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Huebert, K.B. <i>et al.</i>","Englishabstract":"We introduce a new, coupled modeling approach for simulating ecosystem-wide patterns in larval fish foraging and growth. An application of the method reveals how interplay between temperature and plankton dynamics during 1970-2009 impacted a cold-water species (Atlantic cod <i>Gadus morhua</i>) and a warm-water species (European anchovy <i>Engraulis encrasicolus</i>) in the North Sea. Larval fish growth rates were estimated by coupling models depicting trait-based foraging and bioenergetics of individuals, spatiotemporal changes in their prey field, and the biogeochemistry and hydrodynamics of the region. The biomass composition of modeled prey fields varied from 89% nano-, 10% micro-, and 1% mesoplankton to 15% nano-, 20% micro-, and 65% mesoplankton. The mean slope of the normalized biomass size spectrum was near -1.2, consistent with theoretical and empirical estimates. Median larval fish growth rates peaked in June for cod (24% d<sup>-1</sup>) and in July for anchovy (17% d<sup>-1</sup>). Insufficient prey resources played a substantial role in limiting the growth rates of cod larvae. Anchovy were consistently limited by cold temperatures. Faster median larval growth during specific months was significantly (p &lt; 0.05) positively associated with detrended (i.e. higher than expected) juvenile recruitment indices in cod (rank correlation Kendall’s tau = 22%) and anchovy (tau = 42%). For cod, the most predictive month was February, which was also when food limitation was most prevalent. The continued development of modeling tools based on first principles can help further a mechanistic understanding of how changes in the environment affect the productivity of living marine resources.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Modeled larval fish prey fields and growth rates help predict recruitment success of cod and anchovy in the North Sea","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-05-23 01:31:54.682061","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Fish larvae · Plankton · Model · Bottom-up processes · Prey availability · Growth · Recruitment · Cod · Anchovy · North Sea","OtherDescriptors":null,"Notes":null,"AnaPub":2018,"MonPub":null,"DateUpdate":"2018-09-12","DateCreate":"2018-09-12","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000441331700009","VABBcode":null,"OpenAcc":1,"DOI":"10.3354/meps12615"},"refs":null,"anarec":{"AnaID":301141,"PubliDate":2018,"Pagination":"111-126","XtraPublOfAnaID":null,"ISBN":null,"Volume":"600","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43354,"SerRR":"Marine Ecology Progress Series. 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