EGU21-9732
https://doi.org/10.5194/egusphere-egu21-9732
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

El Niño as a predictor of round sardinella distribution along the northwest African coast

Jorge López-Parages1,4,8, Pierre-Amaël Auger2,6, Belén Rodríguez-Fonseca1,9, Noel Keenlyside3, Carlo Gaetan4, Angelo Rubino4, Maeregu Woldeyes Arisido4,5, and Timothée Brochier6,7
Jorge López-Parages et al.
  • 1Universidad Complutense de Madrid, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, FTA Física de la Tierra y Astrofísica, 4a planta, Madrid, Spain (parages@fis.ucm.es)
  • 2Instituto Milenio de Oceanografía and Escuela de Ciencias del Mar, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
  • 3Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
  • 4Dipartimento di Scienze Ambientali, Informatica e Statistica - Ca' Foscari University of Venice, Italy
  • 5Department of Sociology and Social Research, University of Milano-Bicocca, Italy
  • 6Institut de Recherche pour le Développement (IRD), France
  • 7Université Cheikh Anta Diop de Dakar, Ecole Supérieure Polytechnique, UMMISCO, B.P.: 15915 Dakar Fann, Senegal
  • 8CECI, Université de Toulouse, CNRS UMR5318, CERFACS, Toulouse, France
  • 9Instituto de Geociencias IGEO UCM-CSIC

The El Niño Southern Oscillation (ENSO) produces global marine environment conditions that can cause changes in abundance and distribution of distant fish populations worldwide. Understanding mechanisms acting locally on fish population dynamics is crucial to develop forecast skill useful for fisheries management. The present work addresses the role played by ENSO on the round sardinella population biomass and distribution in the central-southern portion of the Canary Current Upwelling System (CCUS). A combined physical-biogeochemical framework is used to understand the climate influence on the hydrodynamical conditions in the study area. Then, an evolutionary individual-based model is used to simulate the round sardinella spatio-temporal biomass variability. According to model experiments, anomalous oceanographic conditions forced by El Niño along the African coast cause anomalies in the latitudinal migration pattern of the species. A robust anomalous increase and decrease of the simulated round sardinella biomass is identified in winter off the Cape Blanc and the Saharan coast region, respectively, in response to El Niño variations. The resultant anomalous pattern is an alteration of the normal migration between the Saharan and the Mauritanian waters. It is primarily explained by the mod- ulating role that El Niño exerts on the currents off Cape Blanc, modifying therefore the normal migration of round sardinella in the search of acceptable temperature conditions. This climate signature can be potentially predicted up to six months in advance based on El Niño conditions in the Pacific.

How to cite: López-Parages, J., Auger, P.-A., Rodríguez-Fonseca, B., Keenlyside, N., Gaetan, C., Rubino, A., Arisido, M. W., and Brochier, T.: El Niño as a predictor of round sardinella distribution along the northwest African coast, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9732, https://doi.org/10.5194/egusphere-egu21-9732, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.