Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff
12 pages, 5 figures, supplementary information https://doi.org/10.1038/s43247-024-01913-7.-- Data availability: All data sets utilized in this study are publicly accessible. The OSPAR data set, detailing beach litter information, is available for download at https://beachlitter.ospar.org/survey/expo...
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/375354 |
| Acceso en línea: | http://hdl.handle.net/10261/375354 |
| Access Level: | acceso abierto |
| Palabra clave: | http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
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Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| title |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| spellingShingle |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff Rieger, Niclas http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
| title_short |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| title_full |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| title_fullStr |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| title_full_unstemmed |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| title_sort |
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff |
| dc.creator.none.fl_str_mv |
Rieger, Niclas Olmedo, Estrella Thiel, Martin Salvo, Vanessa Sarah Honorato-Zimmer, Daniela Vásquez, Nelson Turiel, Antonio Piera, Jaume |
| author |
Rieger, Niclas |
| author_facet |
Rieger, Niclas Olmedo, Estrella Thiel, Martin Salvo, Vanessa Sarah Honorato-Zimmer, Daniela Vásquez, Nelson Turiel, Antonio Piera, Jaume |
| author_role |
author |
| author2 |
Olmedo, Estrella Thiel, Martin Salvo, Vanessa Sarah Honorato-Zimmer, Daniela Vásquez, Nelson Turiel, Antonio Piera, Jaume |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission Agencia Estatal de Investigación (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
| topic |
http://metadata.un.org/sdg/6 Ensure availability and sustainable management of water and sanitation for all |
| description |
12 pages, 5 figures, supplementary information https://doi.org/10.1038/s43247-024-01913-7.-- Data availability: All data sets utilized in this study are publicly accessible. The OSPAR data set, detailing beach litter information, is available for download at https://beachlitter.ospar.org/survey/export. Data on river discharge for the European Flood Awareness System (EFAS) domain is provided by the Copernicus Climate Data Store (CDS) (https://doi.org/10.24381/cds.9f696a7a). Ocean wave reanalysis data is obtainable from the Copernicus Marine Environmental Monitoring Service (CMEMS) (https://doi.org/10.48670/moi-00022). Data on riverine macroplastic emissions43 are available at https://doi.org/10.17026/dans-xaa-kug9. Production data from wild capture fisheries and aquaculture are available from the Food and Agriculture Organization (FAO) at https://www.fao.org/fishery/en/collection/capture?lang=en and https://www.fao.org/fishery/en/collection/aquaculture?lang=en, respectively. Monthly exports for fish and aquaculture products can be sourced from the European Market Observatory for Fisheries and Aquaculture Products (EUMOFA) at https://eumofa.eu/data. Additionally, the locations of mariculture farms59 are published at https://doi.org/10.5063/F1736PBP, which are partly based on data provided by the European Marine Observation and Data Network (EMODnet), available at https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/home. The results of this study are available at https://doi.org/10.6084/m9.figshare.26155156.-- Code availability:In the spirit of transparency, open science, and reproducibility, we have made all scripts available for processing and analyzing the data, as well as for producing the figures used in our study: https://github.com/nicrie/seasonality_ospar |
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2024 |
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2024 2024 2024 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10261/375354 |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/HE/101008724 https://doi.org/10.1038/s43247-024-01913-7 Sí |
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Nature Publishing Group |
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Nature Publishing Group |
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Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoffRieger, NiclasOlmedo, EstrellaThiel, MartinSalvo, Vanessa SarahHonorato-Zimmer, DanielaVásquez, NelsonTuriel, AntonioPiera, Jaumehttp://metadata.un.org/sdg/6Ensure availability and sustainable management of water and sanitation for all12 pages, 5 figures, supplementary information https://doi.org/10.1038/s43247-024-01913-7.-- Data availability: All data sets utilized in this study are publicly accessible. The OSPAR data set, detailing beach litter information, is available for download at https://beachlitter.ospar.org/survey/export. Data on river discharge for the European Flood Awareness System (EFAS) domain is provided by the Copernicus Climate Data Store (CDS) (https://doi.org/10.24381/cds.9f696a7a). Ocean wave reanalysis data is obtainable from the Copernicus Marine Environmental Monitoring Service (CMEMS) (https://doi.org/10.48670/moi-00022). Data on riverine macroplastic emissions43 are available at https://doi.org/10.17026/dans-xaa-kug9. Production data from wild capture fisheries and aquaculture are available from the Food and Agriculture Organization (FAO) at https://www.fao.org/fishery/en/collection/capture?lang=en and https://www.fao.org/fishery/en/collection/aquaculture?lang=en, respectively. Monthly exports for fish and aquaculture products can be sourced from the European Market Observatory for Fisheries and Aquaculture Products (EUMOFA) at https://eumofa.eu/data. Additionally, the locations of mariculture farms59 are published at https://doi.org/10.5063/F1736PBP, which are partly based on data provided by the European Marine Observation and Data Network (EMODnet), available at https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/home. The results of this study are available at https://doi.org/10.6084/m9.figshare.26155156.-- Code availability:In the spirit of transparency, open science, and reproducibility, we have made all scripts available for processing and analyzing the data, as well as for producing the figures used in our study: https://github.com/nicrie/seasonality_osparMacroplastic pollution is a pervasive global environmental challenge, adversely affecting marine ecosystems, wildlife and human health. Understanding temporal variations is crucial for identifying pollution sources and developing effective mitigation policies. However, in-situ data from beach surveys are often irregular, both spatially and temporally, and highly variable, complicating robust statistical conclusions. Here we employ a Bayesian machine learning framework to investigate seasonal variations, identify regional hotspots and elucidate their anthropogenic drivers. Using data from 3866 surveys across 168 western European beaches, we leverage a spatial log-Gaussian Cox Process to enhance statistical inference by integrating information from nearby beaches. Distinct seasonal patterns emerge, with winter and spring exhibiting the highest pollution levels, while pronounced regional differences highlight seasonal pollution hotspots in the western Iberian Peninsula, French coastline, Irish Sea and Skagerrak region. These peaks are attributed to riverine emissions and aquaculture activities, highlighting the potential impact of these sources on beach pollution. Our findings advocate for enhanced, time-specific monitoring to effectively manage litter hotspots, emphasizing the importance of aquaculture-related plastic emissionsThis research was funded by the European Commission’s MINKE project under Horizon 2020 (grant agreement No. 101008724). The ICM-CSIC authors acknowledge the support of the “Severo Ochoa Centre of Excellence” (CEX2019-000928-S)Peer reviewedNature Publishing GroupEuropean CommissionAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/375354reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/HE/101008724https://doi.org/10.1038/s43247-024-01913-7Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3753542026-05-22T06:33:51Z |
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