Trophic niche overlap of sprat and commercial small pelagic teleosts in the Gulf of Lions (NW Mediterranean Sea)

Increasing abundance of non-commercial sprats and decreasing biomass and landings of commercial anchovies and sardines justify the need to study the feeding ecology and trophic niche overlap of these planktivorous species in the Gulf of Lions. Their diet has been investigated on the basis of stomach content and stable isotope analyses in 2011 and 2012 according to different depths and regions in the study area. The main prey were Corycaeidae copepods, Clauso/Paracalanus, Euterpina acutifrons and Microsetella, for sprats and small copepods, such as Microsetella, Oncaea and Corycaeidae, for anchovies and sardines. This is the first time that the diet of sprats is described in the Gulf of Lions. Sprats fed on a larger size spectrum of prey and seem to be more generalist feeders compared to anchovies and sardines. Ontogenetic changes as well as spatial and temporal variations of the diet occurred in the three species. Stable isotope analysis revealed mobility of sardines and sprats among feeding areas while anchovies exhibited preferred feeding areas. Sprats showed a higher relative condition assessed by C/N ratios than sardines and anchovies. Our results showed an overlap of the trophic niches for the three species, indicating a potential trophic competition in the Gulf of Lions.

A coupled movement and bioenergetics model to explore the spawning migration of anchovy in the Bay of Biscay

Adult anchovies in the Bay of Biscay perform north to south migration from late winter to early summer for spawning. However, what triggers and drives the geographic shift of the population remains unclear and poorly understood. An individual-based fish model has been implemented to explore the potential mechanisms that control anchovy's movement routes toward its spawning habitats. To achieve this goal, two fish movement behaviors – gradient detection through restricted area search and kinesis – simulated fish response to its dynamic environment. A bioenergetics model was used to represent individual growth and reproduction along the fish trajectory. The environmental forcing (food, temperature) of the model was provided by a coupled physical–biogeochemical model. We followed a hypothesis-testing strategy to actualize a series of simulations using different cues and computational assumptions. The gradient detection behavior was found as the most suitable mechanism to recreate the observed shift of anchovy distribution under the combined effect of sea-surface temperature and zooplankton. In addition, our results suggested that southward movement occurred more actively from early April to middle May following favorably the spatio-temporal evolution of zooplankton and temperature. In terms of fish bioenergetics, individuals who ended up in the southern part of the bay presented better condition based on energy content, proposing the resulting energy gain as an ecological explanation for this migration. The kinesis approach resulted in a moderate performance, producing distribution pattern with the highest spread. Finally, model performance was not significantly affected by changes on the starting date, initial fish distribution and number of particles used in the simulations, whereas it was drastically influenced by the adopted cues.

Compréhension des différences de distribution spatiale des anchois et de leurs œufs

La campagne PELGAS participe à la gestion du stock d’anchois du Golfe de Gascogne, en réalisant une évaluation directe à la mer de la biomasse d’anchois. Pour déterminer la biomasse totale, des appareils acoustiques envoyant des ultra-sons dans l’eau pour détecter les bancs de poisson sont utilisés. Ensuite des pêches sont effectuées sur les zones détectées pour déterminer la composition des bancs (espèces, poids, longueurs…). En parallèle, les oeufs d’anchois sont comptés. A partir des données récoltées de 2000 à 2015, j’ai pu réaliser des cartes de distribution spatiale des anchois et de leurs oeufs, ainsi que des analyses statistiques afin de comprendre les différences de distribution entre les deux. Il s’avère que les oeufs sont plus au large que les anchois, ce qui est dû à une question de poids moyen et de fécondité. Les anchois les plus gros seraient plus féconds et se localisent plus au large, d’où la répartition des oeufs plus éloignées des côtes que la biomasse totale d’anchois. La fécondité et le poids des anchois font parties des paramètres qui ont une influence sur la distribution des oeufs.