Predicting the energy budget of the scallop Argopecten purpuratus in an oxygen–limiting environment

Arturo Aguirre-Velarde 1 Laure Pecquerie 2 Fred Jean 1 Gérard Thouzeau 1 Jonathan Flye-Sainte-Marie 1
1 LEMAR - Laboratoire des Sciences de l'Environnement Marin (LEMAR)
2 IRD - Institut de Recherche pour le Développement
Abstract : Low concentrations of oxygen determine marine species distribution and abundance along the Peruvian 1 coast with consequences for human activity such as fishing and aquaculture. In order to assess bioener-2 getic consequences of oxygen limitation on the Peruvian scallop Argopecten purpuratus, we first devel-3 oped a Dynamic Energy Budget (DEB) model of growth and reproduction calibrated on field experimen-4 tal datasets. Then, we included oxygen availability as an additional forcing variable using a simple rule 5 based on the ability of the scallop to regulate oxygen consumption. The resulting model was tested using 6 growth/reproduction monitoring and simultaneous high frequency environmental records in Paracas Bay 7 (Peru) at two different depths: suspended in the water column and on the sea bottom. Simulations indicated 8 that scallops growth and reproduction was not food-limited. The negative observed effects of hypoxia on 9 growth and reproduction could be explained by a decrease in both assimilation and reserve mobilization. 10 However, hypoxic conditions in summer were not sufficient to explain the observed losses in somatic tissue 11 weights and the disruption of reproduction. The latter two patterns were better simulated when assuming in-12 creased somatic maintenance costs due to the presence of H 2 S during milky turquoise water discolouration 13 events observed during summer. 14
Keywords : Peru * reproduction growth DEB theory bioenergetics hypoxia hydrogen sulfide
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Arturo Aguirre-Velarde, Laure Pecquerie, Fred Jean, Gérard Thouzeau, Jonathan Flye-Sainte-Marie. Predicting the energy budget of the scallop Argopecten purpuratus in an oxygen–limiting environment. Journal of Sea Research, Elsevier, 2019, 143, pp.254-261. ⟨10.1016/j.seares.2018.09.011⟩. ⟨hal-02114544⟩

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