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Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños

View ORCID ProfileIñigo Gómara, View ORCID ProfileBelén Rodríguez-Fonseca, View ORCID ProfileElsa Mohino, View ORCID ProfileTeresa Losada, View ORCID ProfileIrene Polo, View ORCID ProfileMarta Coll
doi: https://doi.org/10.1101/2021.02.17.431587
Iñigo Gómara
1Departamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain
2Instituto de Geociencias (IGEO), UCM-CSIC, 28040 Madrid, Spain
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  • For correspondence: i.gomara@ucm.es
Belén Rodríguez-Fonseca
1Departamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain
2Instituto de Geociencias (IGEO), UCM-CSIC, 28040 Madrid, Spain
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Elsa Mohino
1Departamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain
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Teresa Losada
1Departamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain
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Irene Polo
1Departamento de Física de la Tierra y Astrofísica, Universidad Complutense de Madrid, 28040 Madrid, Spain
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Marta Coll
3Institut de Ciències del Mar (ICM-CSIC), 08003 Barcelona, Spain
4Ecopath International Initiative (EII) Research Association, 08003 Barcelona, Spain
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Abstract

Tropical Pacific upwelling-dependent ecosystems are the most productive and variable worldwide, mainly due to the influence of El Niño Southern Oscillation (ENSO). ENSO can be forecasted seasons ahead thanks to assorted climate precursors (local-Pacific processes, pantropical interactions). However, owing to observational data scarcity and bias-related issues in earth system models, little is known about the importance of these precursors for marine ecosystem prediction. With recently released reanalysis-nudged global marine ecosystem simulations, these constraints can be sidestepped, allowing full examination of tropical Pacific ecosystem predictability. By complementing historical fishing records with marine ecosystem model data, we show herein that equatorial Atlantic Sea Surface Temperatures (SSTs) constitute a superlative predictability source for tropical Pacific marine yields, which can be forecasted over large-scale areas up to 2 years in advance. A detailed physical-biological mechanism is proposed whereby Atlantic SSTs modulate upwelling of nutrient-rich waters in the tropical Pacific, leading to a bottom-up propagation of the climate-related signal across the marine food web. Our results represent historical and near-future climate conditions and provide a useful springboard for implementing a marine ecosystem prediction system in the tropical Pacific.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 18, 2021.
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Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños
Iñigo Gómara, Belén Rodríguez-Fonseca, Elsa Mohino, Teresa Losada, Irene Polo, Marta Coll
bioRxiv 2021.02.17.431587; doi: https://doi.org/10.1101/2021.02.17.431587
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Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños
Iñigo Gómara, Belén Rodríguez-Fonseca, Elsa Mohino, Teresa Losada, Irene Polo, Marta Coll
bioRxiv 2021.02.17.431587; doi: https://doi.org/10.1101/2021.02.17.431587

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