{"refrec":{"BRefID":57355,"RR":"<b>Kavanagh, P.; Newlands, N.; Christensen, V.; Pauly, D.</b> (2004). Automated parameter optimization for Ecopath ecosystem models. <i>Ecol. Model. 172(2-4)</i>: 141-149","BEntID":54941,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Ecol. Model. 172(2-4)</i>: 141-149","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Kavanagh, P.; Newlands, N.; Christensen, V.; Pauly, D.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Kavanagh, P. <i>et al.</i>","Englishabstract":"Ecopath is mass-balance modeling approach that is widely used for incorporating ecosystem considerations into fisheriesscience. Up to now, users of Ecopath software who are constructing a model of a given area must carefully adjust input biomass,diets, and other parameters until the Ecopath parameterization is mass-balanced, a slow process leading to non-unique solutions.We present a new computer-automated iterative technique for mass-balancing Ecopath models which has the advantages of (1)reducing the lengthy process of and opportunity for encoding errors of the manual approach; (2) standardizing results for the sameset of starting conditions; and (3) allowing exploration of alternative solutions, with consideration of the estimated confidenceof each input parameter. Users can select random and/or gradient descent model perturbation of biomass and/or diet parameters,specify an objective (cost) function for optimization of the search, and modify decision logic, including simulated annealing. Anobjective function is defined to help target mass-balance solutions with minimum change to original input parameters. A MonteCarlo mode allows exploration of sensitivity to different starting conditions and random perturbations. The new procedure isimplemented in the current version of the freely available Ecopath with Ecosim software (<a href=\"http:// www.ecopath.org\">http:// www.ecopath.org</a>).","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Automated parameter optimization for Ecopath ecosystem models","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:32:52.928458","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2004,"MonPub":null,"DateUpdate":"2004-02-11","DateCreate":"2004-02-11","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000189226500003","VABBcode":null,"OpenAcc":1},"refs":null,"anarec":{"AnaID":57355,"PubliDate":2004,"Pagination":"141-149","XtraPublOfAnaID":null,"ISBN":null,"Volume":"172","Issue":"2-4","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":42623,"SerRR":"Ecological Modelling. Elsevier: Amsterdam; Lausanne; New York; Oxford; Shannon; Tokyo.  ISSN 0304-3800; e-ISSN 1872-7026","StandardTitleSer":"Ecological Modelling","ISSN":"0304-3800","AbbrevSer":"Ecol. Model.","StandardTitleMon":null,"StartPage":141,"Pages":9,"ToPubliDate":null,"BRefBibLvlCode":"S","SerNotes":null},"monrec":null,"serrec":null,"relations":[{"YBRefID":57352,"RefStrFull":"<b>Christensen, V.; Maclean, J.L. (Ed.)</b> (2004). Placing fisheries in their ecosystem context. <i>Ecological Modelling</i>, 172(2-4). 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