Variability of oceanographic and meteorological conditions in the northern Alboran Sea at seasonal, inter-annual and long-term time scales and their influence on sardine (Sardina pilchardus Walbaum 1792) landings

• Published in: Fisheries Oceanography
• Main Authors: Vargas-Yáñez, M. (Manuel), Giráldez, A. (Ana), Torres-Cutillas, P. (Pedro), González-Aguilar, M. (María), García-Martínez, M.C. (María del Carmen), Moya-Ruiz, F. (Francisca)
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: Alboran Sea; European sardine; inter-annual variability; linear model; long-term changes; Mediterranean Sea; multi-model inference; North Atlantic
• Online Access: http://hdl.handle.net/10508/14758; https://doi.org/10.1111/fog.12477

Time series of European sardine (Sardina pilchardus) landings from 1962 and environmental variables from 1978 in the northern Alboran Sea are analysed. European sardine spawns in the northern Alboran Sea from mid-autumn to late winter at a temperature range slightly higher than the one observed in the nearby Eastern North Atlantic and the North Western Mediterranean. Individuals hatched during autumn and winter are incorporated to the fishery during the following summer and autumn producing the maximum annual landings. These landings show both a decreasing long-term trend and a strong inter-annual variability. Although further research is needed, the warming trend of sea surface temperature and the decrease in upwelling intensity inferred from empirical orthogonal function (EOF) analyses could have some influence on the negative trends of sardine landings. The inter-annual variability of sardine abundance seems to be related to the wind intensity at a local scale, the second principal component of the chlorophyll concentration and the sardine abundance during the preceding year. If the inter-annual variability is considered, a linear model including these three variables with a one-year time lag allows to explain 79% of the sardine landings variance. If the negative linear trend is also considered, the model explains 86% of the variance. These results indicate that the body condition of spawners, linked to the food availability during the preceding year, is the main factor controlling the recruitment success. The possibility of predicting sardine landings 1 year in advance could have important implications for fishery management.