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Master Thesis

Bioenergetic modeling of the variability of life history traits for anchovy and sardine between the Gulf of Lion, the Bay of Biscay and the English Channel

Abstract : Small pelagic fish show a general decrease in size and body condition over the past two decades in the North-East Atlantic. The underlying factors are still not well understood, however recent studies point to a bottom-up control. In order to understand how the environment impacts the main biological functions, i.e. growth, reproduction and maintenance, we adopted a bioenergetic modelling framework based on the Dynamic Energy Budget theory. To improve the robustness of our study, we chose a comparative approach between two species, Engraulis encrasicolus and Sardina pilchardus, both living in three areas, namely the English Channel, the Bay of Biscay and the Gulf of Lion. Our model is calibrated over the Bay of Biscay and then applied to the other areas, over the early 2000s and the mid-2010s. The environment alone, temperature and zooplankton, explained well the observed spatial differences in growth. The Gulf of Lion had a lower fit than the other areas, which might suppose local genetic adaptation. However, we could not highlight any significant trends between 2000 and 2015 in the environmental data we used. Thus, no significant differences have been observed in the model's outputs between the early 2000s and the mid-2010s. This could result either from the lack of interannual variability in our environmental data, and/or from a change occurring on a finer scale, such as a change in the size of zooplankton or a change in the structure of zooplankton's communities.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03172217
Contributor : Agrocampus Ouest <>
Submitted on : Wednesday, March 17, 2021 - 3:35:03 PM
Last modification on : Monday, April 12, 2021 - 3:26:09 AM

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Clara Menu. Bioenergetic modeling of the variability of life history traits for anchovy and sardine between the Gulf of Lion, the Bay of Biscay and the English Channel. Life Sciences [q-bio]. 2020. ⟨dumas-03172217⟩

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