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dc.contributor.authorGómara, Íñigoes_ES
dc.contributor.authorRodríguez-Fonseca, Belénes_ES
dc.contributor.authorMohino, Elsaes_ES
dc.contributor.authorLosada, Teresaes_ES
dc.contributor.authorPolo, Irenees_ES
dc.contributor.authorColl, Martaes_ES
dc.date.accessioned2021-02-24T06:51:47Z-
dc.date.available2021-02-24T06:51:47Z-
dc.date.issued2021-05-
dc.identifier.citationEnvironmental Research Letters 16(3): 054066 (2021)-
dc.identifier.otherCEX2019-000928-S-
dc.identifier.urihttp://hdl.handle.net/10261/230501-
dc.description12 pages, 4 figures.-- Data availability Annual catch data from FAO major fishing areas are available from the Sea Around Us Project (http://www.seaaroundus.org/data/#/fao). Hadley Centre Sea Ice and Sea Surface Temperature data set (HadISST) are available from the Met Office Hadley Centre observations datasets (https://www.metoffice.gov.uk/hadobs/hadisst/). National Centers for Environmental Prediction (NCEP) reanalysis data are available from the NOAA/OAR/ESRL PSL website (https://psl.noaa.gov/). GFDL COBALT and FishMIP simulation data (EcoOcean, BOATS and Macroecological) are accessible through the Potsdam-Institute for Climate Impact Research Earth System Grid Federation (ESGF) data node (https://esg.pik-potsdam.de/search/isimip/). Code availabilityS4CAST originally published MATLAB® code is open access and available from the Zenodo repository (doi:10.5281/zenodo.15985) in the URL https://zenodo.org/record/15985. The rest of MATLAB scripts used in this analysis can be made available upon request from the corresponding author (i.gomara@ucm.es). Updated S4CAST versions can be requested to the TROPA-UCM research group (brfonsec@ucm.es)es_ES
dc.description.abstractTropical 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 Pacifices_ES
dc.description.sponsorshipThis research was funded by the EU H2020 project TRIATLAS (no. 817578), the Universidad Complutense de Madrid project FEI-EU-19-09 and the Spanish Ministry of Economy and Competitiveness project PRE4CAST (CGL2017-86415-R).es_ES
dc.description.sponsorshipWith the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)es_ES
dc.language.isoenges_ES
dc.publisherIOP Publishing-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/817578es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CGL2017-86415-Res_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectPantropical Interactionses_ES
dc.subjectEl Niño-Southern Oscillationes_ES
dc.subjectAtlantic Niñoses_ES
dc.subjectUpwellinges_ES
dc.subjectFisherieses_ES
dc.subjectPrediction modeles_ES
dc.titleSkillful prediction of tropical Pacific fisheries provided by Atlantic Niñoses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1088/1748-9326/abfa4d-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1088/1748-9326/abfa4des_ES
dc.identifier.e-issn1748-9326-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderUniversidad Complutense de Madrides_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es_ES
dc.contributor.funderAgencia Estatal de Investigación (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100002911es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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