Influence of the Arctic oscillations on the sardine off northwest Africa during the period 1976-1996
Main Article Content
Abstract
Studies on the impact of climate change on exploited marine fishes are numerous. However, the response of fish stocks to these effects is hard to predict, due to the inherent uncertainty in these models, and the lack of knowledge of the biological response of species in short time periods. Thus, some authors have modelled the response of marine species to large-scale climate phenomena. The main aim of the current study is to analyze the possible effect of the main large-scale climate indices: Atlantic Multidecadal Oscillation (AMO), the North Atlantic Oscillation (NAO), and Arctic Oscillation (AO) and Southern Oscillation Index (SOI) (as measured to El Niño/La Niña episodes) on the variability of the NW African sardine (Sardina pilchardus) stock. The sardine fishery data has its origin in the fishing activity of Spanish purse seine fleet in NW Africa from 1976 to 1996 developed within the Fishery Agreement between Spain-EU and Morocco. These fisheries data refer to one FAO statistical area along the African coast between the parallels 29°N and 26°N. The results indicate that there is an effect driven by AO affecting sardine relative abundance in the study area, at least for the period 1976-1996. Moreover, this relation between AO and sardine relative abundance could involve the Sea Surface Temperature.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licence CC-BY 4.0
References
Alheit J, Pohlmann T, Casini M, Greve W, Hinrichs R, Mathis M, O’Driscoll K, Vorberg R, Wagner C 2012. Climate variability drives anchovies and sardines into North Sea and Baltic Sea. Prog Oceanogr 96: 128-139.
Alheit J, Licandro P, Coombs S, García A, Giráldez A, Santamaría MTG, Slotte A, Tsikliras AC 2014. Atlantic Multidecadal Oscillation (AMO) modulates dynamics of small pelagic fishes and ecosystem regime shifts in the eastern North and Central Atlantic. J Mar Syst 133: 88-102.
Báez JC 2016. Assessing the influence of the North Atlantic Oscillation on a migratory demersal predator in the Alboran Sea. J Mar Biol Ass UK 96: 1499-1505.
Báez JC, Ortiz De Urbina JM, Real R, Macías D 2011. Cumulative effect of the north Atlantic oscillation on age-class abundance of albacore (Thunnus alalunga). J Appl Ichthyol 27 1356-1359.
Báez JC, Macías D, De Castro M, Gómez-Gesteira M, Gimeno L, Real R 2014. Assessing the response of exploited marine populations in a context of rapid climate change: the case of blackspot seabream from the Strait of Gibraltar. Anim Biodiv Conserv 371: 35-47.
Bourassa M, Stoffelen A, Bonekamp H, Chang P, Chelton DB, Courtney J, Edson R, Figa J, He Y, Hersbach H, Hilburn K, Jelenak Z, Kelly Kathryn A, Knabb R, Lee T, Lindstrom EJ, Liu WT, Long DG, Perrie W, Portabella M, Powell M, Rodriguez E, Smith DK, Swail V, Wentz FJ 2010. Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling. In Hall J, Harrison DE, Stammer D Eds, Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society (Vol 2), Venice, Italy, 21-25 September 2009. ESA Publication WPP-306, doi:10.5270/ OceanObs09.cwp.08
Braham CB, Fréon P, Laure A, Demarcq H, Bez N 2014. New insights in the spatial dynamics of sardinella stocks off Mauritania (North-West Africa) based on logbook data analysis. Fish Res 154: 195-204.
Budikova, D 2008. Effect of the Arctic Oscillation on precipitation in the eastern USA during ENSO winters. Climate Res 37: 3-16.
Chávez FP, Ryan J, Lluch-Cota SE, Niquen M 2003. From anchovies to sardines and back: multidecadal change in the Pacific Ocean. Science 299: 217-221.
Checkley DM, Asch RG, Rykaczewski RR 2017. Climate, anchovy, and sardine. Ann Rev Mar Sci 9: 469-493.
Cropper TE, Hanna E, Bigg GR 2014. Spatial and temporal seasonal trends in coastal upwelling off Northwest Africa, 1981-2012. Deep-Sea Res Pt i 86: 94-111.
Cury PM, Roy C 1989. Optimal environmental window and pelagic fish recruitment success in upwelling areas. Can J Fish Aquat Sci 46(4): 670-680.
Dueri S, Bopp L, Maury O 2014. Projecting the impacts of climate change on skipjack tuna abundance and spatial distribution. Glob Change Biol 20: 742-753.
FAO (Food and Agriculture Organization) 2016a. The State of World Fisheries and Aquaculture 2016. Contributing to food security and nutrition for all. Rome: FAO Fisheries Department.
FAO (Food and Agriculture Organization) 2016b. Report of the FAO Working group on the Assessment of Small Pelagic Fish off Northwest Africa Casablanca, Morocco, 20-25 July 2015.
Givati A, Rosenfeld D 2013. The Arctic Oscillation, climate change and the effects on precipitation in Israel. Atmospheric Res 132-133: 114-124.
Hall R, Erdélyi R, Hanna E, Jonesa JM, Scaifec AA 2014. Drivers of North Atlantic Polar Front jet stream variability. Int J Climatol 21: 1863-1898.
Hammer Ø, Harper D, Ryan, PD 2001. PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontol Electronica 4: 9.
Hammer Ø, Harper D 2006. Paleontological Data Analysis Blackwell Publishing, Oxford.
Jaykus LA, Woolridge M, Frank JM, Miraglia M, McQuatters-Gollop A, Tirado C, Clarke R, Friel M 2007. Climate change: implications for food safety, FAO report available from web site: ftp://ftpfaoorg/docrep/fao/010/i0195e/i0195e00pdf.
Justino F, Peltier WR 2008. Climate anomalies induced by the Arctic and Antarctic Oscillations: glacial maximum and present-day perspectives. J Clim 21: 459-475.
Keller CF 2007. An update to global warming: the balance of evidence and its policy implications. Sci World J 7: 381-399.
Kifani S, Masski H, Faraj A 2008. The need of an ecosystem approach to fisheries: the Moroccan upwelling-related resources case. Fish Res 94: 36-42.
Kumar PS, Pillai GN, Manjusha U 2014. El Niño Southern Oscillation (ENSO) impact on tuna fisheries in Indian Ocean. Springerplus 591, doi: 101186/2193-1801-3-591
Lehodey P, Senina I, Sibert J, Bopp L, Calmettes B, Hampton J, Murtugudde R 2010. Preliminary forecasts of population trends for Pacific bigeye tuna under the A2 IPCC scenario. Prog Oceanogr 86: 302-315.
Lehodey P, Senina I, Calmettes B, Hampton J, Nicol S 2013. Modelling the impact of climate change on Pacific skipjack tuna population and fisheries. Clim Change 119: 95-109.
Marshal J, Kushnir Y, Battisti D, Chang P, Czaja A, Dickson R, Hurrell J, Mccartney M, Saravanan R, Visbeck M 2001. North Atlantic climate variability: phenomena, impacts and mechanisms. Int J Climatol 21: 1863-1898.
Muñoz-Expósito P, Macías D, Ortíz de Urbina JM, García-Barcelona S, Gómez MJ, Báez JC 2017. North Atlantic oscillation affects the physical condition of migrating bullet tuna Auxis rochei (Risso, 1810) from the Western Mediterranean Sea. fish res 194: 84-88.
NCEI 2018. NCEI Ocean Color Archive Available at: http:// wwwnodcnoaagov/sog/OceanColor/
Oreskes N 2004. The scientific consensus on climate change. Science 306: 1686.
Pelegrí JL, Benazzouz A 2015. Coastal upwelling off North-West Africa. In Valdés L, Déniz-González I Eds, Oceanographic and Biological Features in the Canary Current Large Marine Ecosystem. IOC-UNESCO, Paris. IOC Technical Series, No. 115, pp. 93-103.
Reid PC, Valdés L 2011. ICES status report on climate change in the North Atlantic. ICES Coop Res Rep 310: 262.
Rodríguez JM, Hernández-León S, Barton ED 1999. Mesoscale distribution of fish larvae in relation to an upwelling filament off Northwest Africa. Deep Sea Res Part I: Oceanogr Res Pap 46(11): 1969-1984.
Roy C, Porteiro C, Cabanas J. 1993. The optimal environmental window hypothesis in the ICES area: the example of the Iberian sardine. In Hagen E, da Silva AJ Eds, Dynamics of Upwelling in the ICES Area. CIEM 1993, ICES Cooperative Research Report, 206, Copenhague: 57-65.
Rubio CJ, Macías D, Camiñas JA, Fernández IL, Báez JC 2016. Effects of North Atlantic Oscillation (NAO) on Spanish catches of albacore (Thunnus alalunga) and yellowfin tuna (Thunnus albacares) in the north-east Atlantic Ocean. Anim Biodivers Conserv 39: 195-198