IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v423y2020ics030438002030079x.html
   My bibliography  Save this article

Contribution of a bioenergetics model to investigate the growth and survival of European seabass in the Bay of Biscay – English Channel area

Author

Listed:
  • Dambrine, Chloé
  • Huret, Martin
  • Woillez, Mathieu
  • Pecquerie, Laure
  • Allal, François
  • Servili, Arianna
  • de Pontual, Hélène

Abstract

The European seabass (Dicentrarchus labrax) is a species of particular ecological and economic importance. Stock assessments have recently revealed the worrying state of the “Northern stock”, probably due to overfishing and a series of poor recruitments. The extent to which these poor recruitments are due to environmental variability is difficult to assess, as the processes driving the seabass life cycle are poorly known. Here we investigate how food availability and temperature may affect the growth and survival of wild seabass at the individual scale. To this end, we developed a bioenergetics model based on the Dynamic Energy Budget (DEB) theory. We applied it to seabass population of the Northeast Atlantic region (Bay of Biscay – English Channel area) throughout their entire life cycle. We calibrated the model using a combination of age-related length and weight datasets: two were from aquaculture experiments (larvae and juveniles raised at 15 and 20°C) and one from a wild population (juveniles and adults collected during surveys or fish market sampling). By calibrating the scaled functional response that rules the ingestion of food and using average temperature conditions experienced by wild seabass (obtained from tagged individuals), the model was able to reproduce the duration of the different stages, the growth of the individuals, the number of batches and their survival to starvation. We also captured one of the major differences encountered in the life traits of the species: farmed fish mature earlier than wild fish (3 to 4 years old vs. 6 years old on average for females, respectively) probably due to better feeding conditions and higher temperature. We explored the growth and survival of larvae and juveniles by exposing the individuals to varying temperatures and food levels (including total starvation). We show that early life stages of seabass have a strong capacity to deal with food deprivation: the model estimated that first feeding larvae could survive 17 days at 15°C. We also tested individual variability by adjusting the specific maximum assimilation rate and found that larvae and juveniles with higher assimilation capacity better survived low food levels at a higher temperature. We discuss our results in the context of the recent years of poor recruitment faced by European seabass.

Suggested Citation

  • Dambrine, Chloé & Huret, Martin & Woillez, Mathieu & Pecquerie, Laure & Allal, François & Servili, Arianna & de Pontual, Hélène, 2020. "Contribution of a bioenergetics model to investigate the growth and survival of European seabass in the Bay of Biscay – English Channel area," Ecological Modelling, Elsevier, vol. 423(C).
  • Handle: RePEc:eee:ecomod:v:423:y:2020:i:c:s030438002030079x
    DOI: 10.1016/j.ecolmodel.2020.109007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002030079X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mbaye Tine & Heiner Kuhl & Pierre-Alexandre Gagnaire & Bruno Louro & Erick Desmarais & Rute S.T. Martins & Jochen Hecht & Florian Knaust & Khalid Belkhir & Sven Klages & Roland Dieterich & Kurt Stuebe, 2014. "European sea bass genome and its variation provide insights into adaptation to euryhalinity and speciation," Nature Communications, Nature, vol. 5(1), pages 1-10, December.
    2. Gatti, Paul & Petitgas, Pierre & Huret, Martin, 2017. "Comparing biological traits of anchovy and sardine in the Bay of Biscay: A modelling approach with the Dynamic Energy Budget," Ecological Modelling, Elsevier, vol. 348(C), pages 93-109.
    3. Pethybridge, H. & Roos, D. & Loizeau, V. & Pecquerie, L. & Bacher, C., 2013. "Responses of European anchovy vital rates and population growth to environmental fluctuations: An individual-based modeling approach," Ecological Modelling, Elsevier, vol. 250(C), pages 370-383.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boyd, Robin & Roy, Shovonlal & Sibly, Richard & Thorpe, Robert & Hyder, Kieran, 2018. "A general approach to incorporating spatial and temporal variation in individual-based models of fish populations with application to Atlantic mackerel," Ecological Modelling, Elsevier, vol. 382(C), pages 9-17.
    2. Ren, Jeffrey S. & Jin, Xianshi & Yang, Tao & Kooijman, Sebastiaan A.L.M. & Shan, Xiujuan, 2020. "A dynamic energy budget model for small yellow croaker Larimichthys polyactis: Parameterisation and application in its main geographic distribution waters," Ecological Modelling, Elsevier, vol. 427(C).
    3. Dortel, E. & Pecquerie, L. & Chassot, E., 2020. "A Dynamic Energy Budget simulation approach to investigate the eco-physiological factors behind the two-stanza growth of yellowfin tuna (Thunnus albacares)," Ecological Modelling, Elsevier, vol. 437(C).
    4. Athanasios Gkanasos & Stylianos Somarakis & Kostas Tsiaras & Dimitrios Kleftogiannis & Marianna Giannoulaki & Eudoxia Schismenou & Sarantis Sofianos & George Triantafyllou, 2019. "Development, application and evaluation of a 1-D full life cycle anchovy and sardine model for the North Aegean Sea (Eastern Mediterranean)," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-24, August.
    5. Arnould-Pétré, Margot & Guillaumot, Charlène & Danis, Bruno & Féral, Jean-Pierre & Saucède, Thomas, 2021. "Individual-based model of population dynamics in a sea urchin of the Kerguelen Plateau (Southern Ocean), Abatus cordatus, under changing environmental conditions," Ecological Modelling, Elsevier, vol. 440(C).
    6. Desforges, Jean-Pierre & Marques, Gonçalo M. & Beumer, Larissa T. & Chimienti, Marianna & Blake, John & Rowell, Janice E. & Adamczewski, Jan & Schmidt, Niels Martin & van Beest, Floris M., 2019. "Quantification of the full lifecycle bioenergetics of a large mammal in the high Arctic," Ecological Modelling, Elsevier, vol. 401(C), pages 27-39.
    7. Chimienti, Marianna & Desforges, Jean-Pierre & Beumer, Larissa T. & Nabe-Nielsen, Jacob & van Beest, Floris M. & Schmidt, Niels Martin, 2020. "Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models," Ecological Modelling, Elsevier, vol. 434(C).
    8. Merel Goedegebuure & Jessica Melbourne-Thomas & Stuart P Corney & Clive R McMahon & Mark A Hindell, 2018. "Modelling southern elephant seals Mirounga leonina using an individual-based model coupled with a dynamic energy budget," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-37, March.
    9. Guillaumot, Charlène & Saucède, Thomas & Morley, Simon A. & Augustine, Starrlight & Danis, Bruno & Kooijman, Sebastiaan, 2020. "Can DEB models infer metabolic differences between intertidal and subtidal morphotypes of the Antarctic limpet Nacella concinna (Strebel, 1908)?," Ecological Modelling, Elsevier, vol. 430(C).
    10. Gatti, Paul & Petitgas, Pierre & Huret, Martin, 2017. "Comparing biological traits of anchovy and sardine in the Bay of Biscay: A modelling approach with the Dynamic Energy Budget," Ecological Modelling, Elsevier, vol. 348(C), pages 93-109.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:423:y:2020:i:c:s030438002030079x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.