Dynamic Energy Budget model parameter estimation for the bivalve Mytilus californianus: Application of the covariation method

Gianluca Sara', Allison J. Matzelle, Mackenzie L. Zippay, Helmuth

Risultato della ricerca: Article

19 Citazioni (Scopus)

Abstract

Dynamic Energy Budget (DEB) models serve as a powerful tool for describing the flow of energy through organ-ismsfrom assimilation offoodtoutilization for maintenance,growth andreproduction.The DEB theoryhas beensuccessfully applied to several bivalve species to compare bioenergetic and physiological strategies for the utili-zation of energy. In particular, mussels within theMytilus eduliscomplex (M. edulis,M. galloprovincialis, and M. trossulus) have been the focus of many studies due to their economic and ecological importance, and theirworldwide distribution. However, DEB parameter values have never been estimated for Mytilus californianus,a species that is an ecological dominant on rocky intertidal shores on the west coast of North America andwhich likely varies considerably from mussels in the M. edulis complex in its physiology. We estimated a set ofDEB parameters for M. californianususing the covariation method estimation procedure and compared theseto parameter values from other bivalve species. Model parameters were used to compare sensitivity to environ-mental variability among species, as afirst examination of how strategies for physiologically contending withenvironmental change by M. californianusmay differ from those of other bivalves. Results suggest that basedon the parameter set obtained,M. californianus has favorable energetic strategies enabling it to contend with a range of environmental conditions. For instance, the allocation fraction of reserve to soma (κ ) is among the highest of any bivalves, which is consistent with the observation that this species can survive over a widerange of environmental conditions, including prolonged periods of starvation
Lingua originaleEnglish
pagine (da-a)105-110
Numero di pagine6
RivistaJournal of Sea Research
Volume94
Stato di pubblicazionePublished - 2014

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science

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