Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent
The reduction in sea ice cover with Arctic warming facilitates the transit of ships through routes that are remarkably shorter than the traditional shipping routes. Automatic Identification System (AIS), ideally designed to avoid vessel collisions, transmits on vessel navigation information (current...
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arXiv
2024
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Online Access: | http://hdl.handle.net/10261/365294 https://doi.org/10.48550/arXiv.2403.01856 |
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Digital.CSIC (Spanish National Research Council) |
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English |
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Physics and Society |
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Physics and Society Rodríguez-García, Jorge Pablo Klemm, Konstantin Duarte, Carlos M. Eguíluz, Víctor M. Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
topic_facet |
Physics and Society |
description |
The reduction in sea ice cover with Arctic warming facilitates the transit of ships through routes that are remarkably shorter than the traditional shipping routes. Automatic Identification System (AIS), ideally designed to avoid vessel collisions, transmits on vessel navigation information (currently 27 types of messages) such as name, position or speed, is a powerful data source to monitor the progress of Arctic shipping as the ice cover decreases. Based on the analysis of an online platform collecting shipping AIS data, we quantified the spatial distribution of shipping through the Arctic Ocean, its intensity and the temporal evolution, in relation to the area released by the sea ice area. Shipping through the Arctic Ocean is distributed spatially following a heavy-tailed distribution, implying heavy traffic through a limited Arctic area, with an exponent that depends on the vessel category. Fishing is the category with the largest spatial spread, with the width of shipping routes correlated with the proximal sea ice area. The time evolution of these routes is characterized by increasing extended periods of shipping activity through the year. AIS data offers valuable information on the activity of the international fleet worldwide. In the context of the new international agreements, it is a valuable source to monitor shipping, fishing and the potential impact in marine life among other aspects. Here we have focused on the Arctic shipping in recent years, which is rapidly growing, particularly around the Northeastern and Northwest Passage coastal routes, providing an opportunity for the design of shorter shipping routes and reduced greenhouse gas emissions from transport of goods, but at a risk of impacts on the Arctic ecosystem. 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 Vicenç Mut program from Govern de les Illes Balears. J.P.R. received support from Spanish Research Agency MCIN/AEI/10.13039/501100011033 via ... |
author2 |
Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) Govern de les Illes Balears |
format |
Report |
author |
Rodríguez-García, Jorge Pablo Klemm, Konstantin Duarte, Carlos M. Eguíluz, Víctor M. |
author_facet |
Rodríguez-García, Jorge Pablo Klemm, Konstantin Duarte, Carlos M. Eguíluz, Víctor M. |
author_sort |
Rodríguez-García, Jorge Pablo |
title |
Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
title_short |
Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
title_full |
Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
title_fullStr |
Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
title_full_unstemmed |
Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
title_sort |
shipping traffic through the arctic ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent |
publisher |
arXiv |
publishDate |
2024 |
url |
http://hdl.handle.net/10261/365294 https://doi.org/10.48550/arXiv.2403.01856 |
genre |
Arctic Arctic Ocean Northwest passage Sea ice |
genre_facet |
Arctic Arctic Ocean Northwest passage Sea ice |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001164-M info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114324GB-C22/ES/MODELIZACION DE LA COMPLEJIDAD ECOLOGICA INSULAR EN EL CONTEXTO DE CAMBIO CLIMATICO/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001201-M Preprint The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.48550/arXiv.2403.01856 Rodríguez-García, Jorge Pablo; Klemm, Konstantin; Duarte, Carlos M.; Eguíluz, Víctor M. Shipping traffic through the Arctic Ocean: Spatial distribution, seasonal variation, and its dependence on the sea ice extent. https://doi.org/10.1016/j.isci.2024.110236 . http://hdl.handle.net/10261/365286 https://doi.org/10.48550/arXiv.2403.01856 Sí Rodríguez-García, Jorge Pablo; Klemm, Konstantin; Duarte, Carlos M.; Eguíluz, Víctor M.; 2024; Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent [Preprint]; arXiv; https://doi.org/10.48550/arXiv.2403.01856 arXiv:2403.01856v1 CEX2021-001164-M CEX2021-001201-M http://hdl.handle.net/10261/365294 doi:10.48550/arXiv.2403.01856 |
op_rights |
open |
op_doi |
https://doi.org/10.48550/arXiv.2403.0185610.1016/j.isci.2024.110236 |
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1810293599189860352 |
spelling |
ftcsic:oai:digital.csic.es:10261/365294 2024-09-15T17:51:38+00:00 Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent Rodríguez-García, Jorge Pablo Klemm, Konstantin Duarte, Carlos M. Eguíluz, Víctor M. Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) Govern de les Illes Balears 2024-03-04 application/pdf http://hdl.handle.net/10261/365294 https://doi.org/10.48550/arXiv.2403.01856 en eng arXiv #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001164-M info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114324GB-C22/ES/MODELIZACION DE LA COMPLEJIDAD ECOLOGICA INSULAR EN EL CONTEXTO DE CAMBIO CLIMATICO/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001201-M Preprint The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.48550/arXiv.2403.01856 Rodríguez-García, Jorge Pablo; Klemm, Konstantin; Duarte, Carlos M.; Eguíluz, Víctor M. Shipping traffic through the Arctic Ocean: Spatial distribution, seasonal variation, and its dependence on the sea ice extent. https://doi.org/10.1016/j.isci.2024.110236 . http://hdl.handle.net/10261/365286 https://doi.org/10.48550/arXiv.2403.01856 Sí Rodríguez-García, Jorge Pablo; Klemm, Konstantin; Duarte, Carlos M.; Eguíluz, Víctor M.; 2024; Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent [Preprint]; arXiv; https://doi.org/10.48550/arXiv.2403.01856 arXiv:2403.01856v1 CEX2021-001164-M CEX2021-001201-M http://hdl.handle.net/10261/365294 doi:10.48550/arXiv.2403.01856 open Physics and Society preprint 2024 ftcsic https://doi.org/10.48550/arXiv.2403.0185610.1016/j.isci.2024.110236 2024-08-12T14:06:15Z The reduction in sea ice cover with Arctic warming facilitates the transit of ships through routes that are remarkably shorter than the traditional shipping routes. Automatic Identification System (AIS), ideally designed to avoid vessel collisions, transmits on vessel navigation information (currently 27 types of messages) such as name, position or speed, is a powerful data source to monitor the progress of Arctic shipping as the ice cover decreases. Based on the analysis of an online platform collecting shipping AIS data, we quantified the spatial distribution of shipping through the Arctic Ocean, its intensity and the temporal evolution, in relation to the area released by the sea ice area. Shipping through the Arctic Ocean is distributed spatially following a heavy-tailed distribution, implying heavy traffic through a limited Arctic area, with an exponent that depends on the vessel category. Fishing is the category with the largest spatial spread, with the width of shipping routes correlated with the proximal sea ice area. The time evolution of these routes is characterized by increasing extended periods of shipping activity through the year. AIS data offers valuable information on the activity of the international fleet worldwide. In the context of the new international agreements, it is a valuable source to monitor shipping, fishing and the potential impact in marine life among other aspects. Here we have focused on the Arctic shipping in recent years, which is rapidly growing, particularly around the Northeastern and Northwest Passage coastal routes, providing an opportunity for the design of shorter shipping routes and reduced greenhouse gas emissions from transport of goods, but at a risk of impacts on the Arctic ecosystem. 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 Vicenç Mut program from Govern de les Illes Balears. J.P.R. received support from Spanish Research Agency MCIN/AEI/10.13039/501100011033 via ... Report Arctic Arctic Ocean Northwest passage Sea ice Digital.CSIC (Spanish National Research Council) |