Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory
Autor: | Coralie Picoche, Frank Maheux, Benjamin Simon, Jonathan Flye-Sainte-Marie, Aline Gangnery, Sylvaine Francoise, Romain Le Gendre |
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Přispěvatelé: | Laboratoire Environnement Ressources de Normandie (LERN), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), University of Wollongong [Australia], LITTORAL (LITTORAL), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
0106 biological sciences
food intake Mytilus edulis [SDV]Life Sciences [q-bio] Marine and Aquatic Sciences lcsh:Medicine Aquaculture life history trait 01 natural sciences environmental factor Biomass lcsh:Science Animal Management Multidisciplinary Ecology Geography plankton species habitat Agriculture Plankton particle size Mytilus Trophic Interactions Community Ecology Habitat Calibration Phycology water immersion growth rate France Coastal Ecology Blue mussel Research Article nutrient dynamics metabolic parameters Animal Types Dynamic energy budget chlorophyll a Marine Biology Environment Biology food quality Models Biological 010603 evolutionary biology Article animal tissue social behavior Food Preferences water temperature Marine Monitoring Phytoplankton Animals controlled study 14. Life underwater nutritional value energy transfer nonhuman 010604 marine biology & hydrobiology organic carbon ACL Ecology and Environmental Sciences fungi lcsh:R Biology and Life Sciences Mussel biology.organism_classification Fishery Earth Sciences Veterinary Science dynamic energy budget lcsh:Q food preference Mariculture [SDE.BE]Environmental Sciences/Biodiversity and Ecology Energy Metabolism Food quality Aquatic Animals |
Zdroj: | PLoS ONE, Vol 9, Iss 10, p e109796 (2014) PLoS ONE PLoS ONE, Public Library of Science, 2014, 9 (10), pp.e109796. ⟨10.1371/journal.pone.0109796⟩ Plos One (1932-6203) (Public Library Science), 2014-10, Vol. 9, N. 10, P. 1-13 PLoS ONE, 2014, 9 (10), pp.e109796. ⟨10.1371/journal.pone.0109796⟩ |
ISSN: | 1932-6203 |
DOI: | 10.1371/journal.pone.0109796⟩ |
Popis: | International audience; The blue mussel, Mytilus edulis, is a commercially important species, with production based on both fisheries and aquaculture. Dynamic Energy Budget (DEB) models have been extensively applied to study its energetics but such applications require a deep understanding of its nutrition, from filtration to assimilation. Being filter feeders, mussels show multiple responses to temporal fluctuations in their food and environment, raising questions that can be investigated by modeling. To provide a better insight into mussel-environment interactions, an experiment was conducted in one of the main French growing zones (Utah Beach, Normandy). Mussel growth was monitored monthly for 18 months, with a large number of environmental descriptors measured in parallel. Food proxies such as chlorophyll a, particulate organic carbon and phytoplankton were also sampled, in addition to non-nutritious particles. High-frequency physical data recording (e.g., water temperature, immersion duration) completed the habitat description. Measures revealed an increase in dry flesh mass during the first year, followed by a high mass loss, which could not be completely explained by the DEB model using raw external signals. We propose two methods that reconstruct food from shell length and dry flesh mass variations. The former depends on the inversion of the growth equation while the latter is based on iterative simulations. Assemblages of food proxies are then related to reconstructed food input, with a special focus on plankton species. A characteristic contribution is attributed to these sources to estimate nutritional values for mussels. M. edulis shows no preference between most plankton life history traits. Selection is based on the size of the ingested particles, which is modified by the volume and social behavior of plankton species. This finding reveals the importance of diet diversity and both passive and active selections, and confirms the need to adjust DEB models to different populations and sites. |
Databáze: | OpenAIRE |
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