Embracing multimodal optimization to enhance Dynamic Energy Budget parameterization

dc.contributor.author	Filgueira, R.
dc.contributor.author	Chica, M.
dc.contributor.author	Palacios Alonso, Juan José
dc.contributor.author	Strohmeier, T.
dc.contributor.author	Lavaud, R.
dc.contributor.author	Agüera, A.
dc.contributor.author	Damas, S.
dc.contributor.author	Strand, Ø.
dc.date.accessioned	2020-09-24T07:43:47Z
dc.date.available	2020-09-24T07:43:47Z
dc.date.issued	2020
dc.identifier.citation	Ecological Modelling, 431, p. 109139- (2020); doi:10.1016/j.ecolmodel.2020.109139
dc.identifier.issn	0304-3800
dc.identifier.uri	http://hdl.handle.net/10651/56502
dc.description.sponsorship	We would like to thank two anonymous reviewers who provided a thorough and constructive critique of our work. This work was funded by the Research Council of Norway (Project No. 196560), the Institute of Marine Research (Project No 14898), EXASOCO (PGC2018-101216-B-I00), and NSERC Discovery Grant to RF. MC acknowledges the Ramón y Cajal program (RYC-2016-19800).
dc.format.extent	p. 109139-
dc.language.iso	eng
dc.relation.ispartof	Ecological Modelling
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086463081&doi=10.1016%2fj.ecolmodel.2020.109139&partnerID=40&md5=c9952ceee07bff09d2dd79247b6c9ba8
dc.title	Embracing multimodal optimization to enhance Dynamic Energy Budget parameterization
dc.type	journal article
dc.identifier.doi	10.1016/j.ecolmodel.2020.109139
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.ecolmodel.2020.109139

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