Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff

Abstract Macroplastic 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 bea...

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Main Authors: Niclas Rieger, Estrella Olmedo, Martin Thiel, Vanessa Sarah Salvo, Daniela Honorato-Zimmer, Nelson Vásquez, Antonio Turiel, Jaume Piera
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Communications Earth & Environment
Online Access:https://doi.org/10.1038/s43247-024-01913-7
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author Niclas Rieger
Estrella Olmedo
Martin Thiel
Vanessa Sarah Salvo
Daniela Honorato-Zimmer
Nelson Vásquez
Antonio Turiel
Jaume Piera
author_facet Niclas Rieger
Estrella Olmedo
Martin Thiel
Vanessa Sarah Salvo
Daniela Honorato-Zimmer
Nelson Vásquez
Antonio Turiel
Jaume Piera
author_sort Niclas Rieger
collection DOAJ
description Abstract Macroplastic 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 emissions.
format Article
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institution Kabale University
issn 2662-4435
language English
publishDate 2024-11-01
publisher Nature Portfolio
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series Communications Earth & Environment
spelling doaj-art-620b0166a75f4e09ad72eddb2b2319062024-12-01T12:46:22ZengNature PortfolioCommunications Earth & Environment2662-44352024-11-015111210.1038/s43247-024-01913-7Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoffNiclas Rieger0Estrella Olmedo1Martin Thiel2Vanessa Sarah Salvo3Daniela Honorato-Zimmer4Nelson Vásquez5Antonio Turiel6Jaume Piera7Institut de Ciències del Mar (ICM) - CSICInstitut de Ciències del Mar (ICM) - CSICMarineGEO Program, Smithsonian Environmental Research CenterInstitut de Ciències del Mar (ICM) - CSICDpto. de Biologia Marina, Facultad de Ciencias del Mar, Universidad Católica del NorteDpto. de Biologia Marina, Facultad de Ciencias del Mar, Universidad Católica del NorteInstitut de Ciències del Mar (ICM) - CSICInstitut de Ciències del Mar (ICM) - CSICAbstract Macroplastic 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 emissions.https://doi.org/10.1038/s43247-024-01913-7
spellingShingle Niclas Rieger
Estrella Olmedo
Martin Thiel
Vanessa Sarah Salvo
Daniela Honorato-Zimmer
Nelson Vásquez
Antonio Turiel
Jaume Piera
Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff
Communications Earth & Environment
title 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_short 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
url https://doi.org/10.1038/s43247-024-01913-7
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