FN Archimer Export Format
PT J
TI El Niño as a predictor of round sardinella distribution along the northwest African coast
BT 
AF López-Parages, Jorge
   Auger, Pierre-Amaël
   Rodríguez-Fonseca, Belén
   Keenlyside, Noel
   Gaetan, Carlo
   Rubino, Angelo
   Arisido, Maeregu W.
   Brochier, Timothée
AS 1:1,4,6;2:3,4;3:1;4:5;5:2;6:2;7:2;8:7;
FF 1:;2:;3:;4:;5:;6:;7:;8:;
C1 Dpto de Física de la Tierra y Astrofísica, UCM-IGEO, Complutense University of Madrid, Spain
   Dpto di Scienze Ambientali, Informatica e Statistica, Ca Foscari University of Venice, Italy
   Instituto Milenio de Oceanografía and Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
   Laboratoire d’Ocanographie Physique et Spatiale (LOPS), IUEM, Brest Universit, CNRS, IRD, Ifremer, Brest, France
   Bjerknes Centre for Climate Research, Univ. of Bergen, Norway
   CERFACS/CNRS, Climate Modelling and Global Change Team, 42 avenue Gaspard Coriolis, 31057 Toulouse, France
   Institut de Recherche pour le Dveloppement (IRD), UMMISCO, Sorbonne Universit, Univertis Cheikh Anta Diop, Dakar, Senegal
C2 UNIV COMPLUTENSE MADRID, SPAIN
   UNIV VENICE, ITALY
   UNIV VALPARAISO, CHILE
   UBO, FRANCE
   BCCR, NORWAY
   CNRS, FRANCE
   IRD, FRANCE
UM LOPS
IN WOS Cotutelle UMR
   copubli-europe
   copubli-int-hors-europe
IF 4.08
TC 5
UR https://archimer.ifremer.fr/doc/00630/74211/73844.pdf
LA English
DT Article
DE ;El Nino;Sardinella aurita;Coastal upwelling;Dynamical oceanography;Atmospheric sciences
AB 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 modulating 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. 
PY 2020
PD JUN
SO Progress In Oceanography
SN 0079-6611
PU Elsevier BV
VL 186
UT 000552124300003
DI 10.1016/j.pocean.2020.102341
ID 74211
ER

EF