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Relationship between swimming capacities and morphological traits of fish larvae at settlement stage: a study of several coastal Mediterranean species
Authors:Amélie Rossi  Marc Levaray  Christelle Paillon  Eric DH Durieux  Vanina Pasqualini  Sylvia Agostini
Institution:1. Università di Corsica Pasquale Paoli, UMR CNRS 6134 Sciences Pour l'Environnement, Corte, France;2. Università di Corsica Pasquale Paoli, UMS CNRS 3514 STELLA MARE, Biguglia, France;3. Università di Corsica Pasquale Paoli, UMR CNRS 6134 Sciences Pour l'Environnement, Corte, France

Università di Corsica Pasquale Paoli, UMS CNRS 3514 STELLA MARE, Biguglia, France

Abstract:Experimental measurements were made in the laboratory to determine the swimming capacities of settlement-stage fish larvae of several Mediterranean coastal species collected from the nearshore waters of Corsica, France. Critical swimming speed (Ucrit, cm s?1) was measured to provide a realistic laboratory estimate of in situ swimming speed. Morphometric traits were measured to assess potential predictors of a species’ swimming ability and, when possible, daily otolith increments were used to estimate age. Observed swimming speeds were consistent with other temperate species and demonstrated that the tested species are competent swimmers and not passive components of their environment. Morphological traits varied in their correlation with Ucrit across groups and species. Direct measurements of morphological traits were better predictors than calculated ratios. Pelagic larval duration had little relationship with swimming speed among species for which daily otolith increments were counted. In addition to expanding the database on swimming capacities of settlement-stage fish larvae in the Mediterranean Sea, this study also developed methods that simplify the assessment of larval fish swimming ability. Swimming speed data are essential for improving larval dispersal models and for predicting recruitment rates in coastal fish populations.
Keywords:critical speed  larval dispersal potential  Mediterranean  morphometrics  predictive models  recruitment
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