The effect of oceanographic factors on micronektonic acoustic density in the three African Atlantic large marine ecosystems

• Main Authors: Brehmer, Patrice, Demarcq, Hervé, Mouget, Anne, Migayrou, Chloé, Charouki, N., Koné, V., Uanivi, U., Sarré, Abdoulaye, Jeyid, M.A., Kouassi, A.M., Perrot, Yannick, Behagle, Nolwenn, Krakstad, J.O., Diallo, I., Diogoul, Ndague
• Other Authors: Institut de Recherche pour le Développement (IRD), 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), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), Centre de Recherches Océanologiques Abidjan (CRO), Institut Sénégalais de Recherches Agricoles Dakar (ISRA), Institute of Marine Research Bergen (IMR), University of Bergen (UiB), Université Cheikh Anta Diop Dakar, Sénégal (UCAD), Brehmer, Patrice
• Format: Other/Unknown Material
• Language: English
• Published: HAL CCSD 2018
• Subjects: AFRIQUE DE L'OUEST; SENEGAL; GUINEE; ATLANTIQUE; envir; geo; Fridtjof; Fridtjof Nansen
• Online Access: https://hal.archives-ouvertes.fr/hal-02779649

The interest of modelling the effect of oceanographic factors on micronektonic acoustic densities and its variability is relevant in the context of climate change to better understand the environmental processes controlling ecosystem productivity. Ultimately for the stakeholders, we plan to forecast changes induced by climate change effects and study inter annual variability. Satellite data have been processed using the same time steps as the time series of fisheries acoustic surveys carried out by the R/V Dr. Fridtjof Nansen along the Atlantic African coasts, overlapping three Large Marine Ecosystems. The observed split at Cape Blanc (21°N) separates the coastal upwelling into a strong and stable dynamic upwelling, and a highly seasonal one. Because of the highly non-linear nature of the relationships the BRT modelling accounts for a considerably higher part of the environmental variability, compared to classic multivariate approaches. Environmental data are extracted from daily series of AVHRR (SST), MODIS (SST and Chl-a) and others at spatial resolution between 4 and 25 km. Boosted Regression Tree classification is well suited to show the importance of the large scale environmental variability, despite a limited set of variables. It is interesting to note that the inter-annual variability is not significant in the model, showing that the underlying environmental forcing is associated with relatively stable processes. The structural variables, i.e., bathymetry and distance to the coast, consistently explain a large part of the variability. SST has a minor influence in the north (consistently cold and windy) and a pronounced effect in the south where seasonality is high and variable. Especially in Senegal and Guinea, the detrimental effects of the coastal upwelling (mostly offshore drifts due to strong winds) are strongly attenuated by the wider continental shelf which favour retention processes. The next step will be to couple our results with climate projections to forecast major changes in African coastal ...