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A functional growth model with intraspecific competition applied to a sea urchin, Paracentrotus lividus
Grosjean, Ph.; Spirlet, Ch.; Jangoux, M. (2003). A functional growth model with intraspecific competition applied to a sea urchin, Paracentrotus lividus. Can. J. Fish. Aquat. Sci. 60(3): 237-246. https://dx.doi.org/10.1139/f03-017
In: Canadian Journal of Fisheries and Aquatic Sciences = Journal canadien des sciences halieutiques et aquatiques. National Research Council Canada: Ottawa. ISSN 0706-652X; e-ISSN 1205-7533, meer
Peer reviewed article  
Beschikbaar in  Auteurs 
Trefwoorden
    Cohorts
    Fisheries > Shellfish fisheries > Echinoderm fisheries
    Models
    Population characteristics > Population structure > Size distribution
    Population functions > Growth
    Sea urchins
    Sea urchins
    Paracentrotus lividus (Lamarck, 1816) [WoRMS]
    Marien/Kust
Auteurs  Top 
Abstract
    A new growth model is fitted on data from reared sea urchins, Paracentrotus lividus. Quantile regressions are used instead of least-square regressions, because they are insensitive to the dimension of the measurement and accommodate more than just symmetrical distributions. Quantile regressions allow comparison of fittings on various parts of the size distributions, including large competitors versus small, inhibited animals, in the presence of a size-based intraspecific competition. The model has functionally interpretable parameters and allows quantifying of the intensity of growth inhibition. An extension of this model, called "envelope model", fits the whole data set at once, including size distributions. Its parameters are constrained using information about underlying biological processes involved, namely asymptotic growth with inhibition in early ages as the result of intraspecific competition, the intensity of which depends on the relative size of the individual in the cohort. The new model appears most adequate to describe growth of P. lividus and probably many other sea urchins species as well as other animals or plants.
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