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dc.contributor.authorRodríguez, J.P.
dc.contributor.authorKlemm, K.
dc.contributor.authorDuarte, C.M.
dc.contributor.authorEguíluz, V.M.
dc.date.accessioned2024-08-14T07:07:28Z
dc.date.available2024-08-14T07:07:28Z
dc.date.issued2024-07-19
dc.identifier.citationiScience: 27 (7): 110236 (2024)es_ES
dc.identifier.urihttp://hdl.handle.net/10810/69255
dc.description.abstractThe reduction in sea ice cover with Arctic warming facilitates shipping through remarkably shorter shipping routes. Automatic identification system (AIS) is a powerful data source to monitor Arctic Ocean shipping. Based on the AIS data from an online platform, we quantified the spatial distribution of shipping through this area, its intensity, and the seasonal variation. Shipping was heterogeneously distributed with power-law exponents that depended on the vessel category. We contextualized the estimated exponents with the analytical distribution of a transit model in one and two dimensions. Fishing vessels had the largest spatial spread, while narrower shipping routes associated with cargo and tanker vessels had a width correlated with the sea ice area. The time evolution of these routes showed extended periods of shipping activity through the year. We used AIS data to quantify recent Arctic shipping, which brings an opportunity for shorter routes, but likely impacting the Arctic ecosystem. © 2024es_ES
dc.description.sponsorshipJ.P.R. was supported by Juan de la Cierva Formacion program (Ref. FJC2019-040622-I) funded by MCIN/AEI/10.13039/501100011033, and by the Vicen\u00E7 Mut program from Govern de les Illes Balears. J.P.R. received support from Spanish Research Agency MCIN/AEI/10.13039/501100011033 via project MISLAND (PID2020-114324GB-C22). This research is supported by Mar\u00EDa de Maeztu Excellence Unit 2023-2027 (Refs. CEX2021-001201-M and CEX2021-001164-M) funded by MCIN/AEI/10.13039/501100011033. The authors acknowledge the platform HUB Ocean (hubocean.earth) for access to the data and the computational facilities to remotely run all the analyses, through the Ocean Data Connector. J.P.R.: conceptualization, data curation, formal analysis (leading), software, visualization, and writing \u2013 original draft. K.K.: formal analysis and writing \u2013 review and editing. C.M.D.: conceptualization and writing \u2013 review and editing. V.M.E.: conceptualization, formal analysis (supporting), and writing \u2013 original draft. The authors declare no competing interests. J.P.R. was supported by Juan de la Cierva Formacion program (Ref. FJC2019-040622-I ) funded by MCIN/AEI/10.13039/501100011033 , and by the Vicen\u00E7 Mut program from Govern de les Illes Balears. J.P.R. received support from Spanish Research Agency MCIN/AEI/10.13039/501100011033 via project MISLAND ( PID2020-114324GB-C22 ).es_ES
dc.language.isoenges_ES
dc.publisheriSciencees_ES
dc.relationinfo:eu-repo/grantAgreement/MCIN/FJC2019-040622-Ies_ES
dc.relationinfo:eu-repo/grantAgreement/MICIU/CEX2021-001164-Mes_ES
dc.relationinfo:eu-repo/grantAgreement/MICIU/CEX2021-001201-Mes_ES
dc.relationinfo:eu-repo/grantAgreement/MCIN/PID2020-114324GB-C22es_ES
dc.relationinfo:eu-repo/grantAgreement/MICIU/FJC2019-040622-Ies_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectEarth scienceses_ES
dc.subjectGlobal changees_ES
dc.subjectOceanographyes_ES
dc.titleShipping traffic through the Arctic Ocean: Spatial distribution, seasonal variation, and its dependence on the sea ice extentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© The Author(s) 2024es_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.isci.2024.110236es_ES
dc.identifier.doi10.1016/j.isci.2024.110236


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