Characterizing plastic pollution on beaches of Cozumel Island, Mexico: abundance, distribution, and influencing factors DOI Creative Commons
Ana Victoria Mansilla-García, Alfredo D. Cuarón, Luis‐Bernardo Vázquez

et al.

Revista Ciencias Marinas y Costeras, Journal Year: 2024, Volume and Issue: unknown, P. 51 - 69

Published: Dec. 2, 2024

Plastic pollution in marine environments represents a significant threat to ecosystems worldwide. This study focuses on Cozumel Island, located the Caribbean Sea, where plastic debris, primarily from inadequate management, adversely affects its beaches. Nine beaches were selected conduct debris sampling and determine abundance, density, type of objects found at sites. Three repetitions conducted surface each beach, while three samplings eight analyze buried debris. One was discarded for because rocky composition. Data collected between March 22 June 15, 2019. A total 25,102 items found, 94% which plastic. Similarly, 4,365 recorded, with vast majority (97.8%) being Surface densities vary, influenced by factors such as beach location, substrate composition, human visitation. Beaches lower presence exhibit highest densities, particularly windward areas. Statistical models indicate that low-to-medium visitor influx location significantly impact characteristics. Insights this research contribute understanding dynamics beaches, plays crucial role informed policymaking conservation efforts.

Language: Английский

Marine Macro-Plastics Litter Features and Their Relation to the Geographical Settings of the Selected Adriatic Islands, Croatia (2018–2023) DOI Creative Commons

Natalija Špeh,

Robert Lončarić

Coasts, Journal Year: 2025, Volume and Issue: 5(2), P. 13 - 13

Published: April 10, 2025

Marine litter (ML), encompassing human-made objects in marine ecosystems, poses significant threats to the coasts of some Adriatic islands, despite their remoteness and sparse populations. These reliant on tourism, are particularly vulnerable ML pollution. This study hypothesized that natural features islands influence distribution. It employes an integrated geographic approach combining results field survey (via sea kayaking) with various indicators which include: (1) coastal orientation number density bays, (2) vegetation exposure biomass share, (3) island area (4) bay openness quantity, (5) plastic prevalence ML. Focusing Lošinj, Pašman, Vis, Kornati Elaphiti archipelago, analyzed data collected over six years (2018–2023). Results highlighted NW-SE W-E orientations susceptible accumulation, especially southern Adriatic. Linear Fitting Regression analyses revealed a stronger correlation between polluted bays surface smaller (<10 km2) compared larger (>10 km2). The following findings underscore need for international collaboration stringent policies mitigate pollution, ensuring protection ecosystems sustainability local communities.

Language: Английский

Citations

0

Marine macrolitter and cigarette butts hazard multiple-use marine protected area and fishing community at Brazil DOI
Victor Vasques Ribeiro, Yonara Garcia,

Eduardo dos Reis Cavalcante

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 208, P. 117031 - 117031

Published: Sept. 25, 2024

Language: Английский

Citations

3

Seasonal hotspots of beach litter in the North-East Atlantic linked to aquaculture and river runoff DOI Creative Commons
Niclas Rieger, Estrella Olmedo, Martín Thiel

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: Nov. 30, 2024

Abstract Macroplastic pollution is a pervasive global environmental challenge, adversely affecting marine ecosystems, wildlife and human health. Understanding temporal variations crucial for identifying sources developing effective mitigation policies. However, in-situ data from beach surveys are often irregular, both spatially temporally, highly variable, complicating robust statistical conclusions. Here we employ Bayesian machine learning framework to investigate seasonal variations, identify regional hotspots elucidate their anthropogenic drivers. Using 3866 across 168 western European beaches, leverage spatial log-Gaussian Cox Process enhance inference by integrating information nearby beaches. Distinct patterns emerge, with winter spring exhibiting the highest levels, while pronounced differences highlight in Iberian Peninsula, French coastline, Irish Sea Skagerrak region. These peaks attributed riverine emissions aquaculture activities, highlighting potential impact of these on pollution. Our findings advocate enhanced, time-specific monitoring effectively manage litter hotspots, emphasizing importance aquaculture-related plastic emissions.

Language: Английский

Citations

2

How natural disasters affect the distribution of marine litter in protected island ecosystems (Seaflower Biosphere Reserve — Colombia) DOI Creative Commons
Luana Portz,

Ana Murgas-Vargas,

Prímula Viana Campos

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 211, P. 117458 - 117458

Published: Dec. 18, 2024

Language: Английский

Citations

1

Seasonal Hotspots of Beach Litter in the North-East Atlantic Linked to Aquaculture and River Runoff DOI Creative Commons
Niclas Rieger, Estrella Olmedo, Martín Thiel

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

Abstract Anthropogenic beach litter presents a significant environmental challenge, particularly in the north-east Atlantic. Understanding temporal variations is crucial for identifying pollution sources and developing effective policies. However, in-situ data from surveys are irregular, both spatially temporally, subject to high variability, complicating robust statistical conclusions. This study employs Bayesian machine learning framework investigate seasonal variations, identify regional hotspots elucidate their anthropogenic drivers. Using 3,866 across 168 beaches, we leverage spatial log-Gaussian Cox Process enhance inference by incorporating information nearby beaches. Our analysis reveals distinct patterns, with winter spring exhibiting highest levels. Significant variances observed, pronounced along western Iberian Peninsula, French coastline, Irish Sea, Skagerrak region. Further investigation into of this links riverine emissions aquaculture activities observed peaks, highlighting notable impact on pollution. underscores need enhanced monitoring targeted management strategies mitigate macroplastic findings advocate pinpoint effectively manage hotspots, emphasizing importance addressing aquaculture-related plastic emissions.

Language: Английский

Citations

0

Characterizing plastic pollution on beaches of Cozumel Island, Mexico: abundance, distribution, and influencing factors DOI Creative Commons
Ana Victoria Mansilla-García, Alfredo D. Cuarón, Luis‐Bernardo Vázquez

et al.

Revista Ciencias Marinas y Costeras, Journal Year: 2024, Volume and Issue: unknown, P. 51 - 69

Published: Dec. 2, 2024

Plastic pollution in marine environments represents a significant threat to ecosystems worldwide. This study focuses on Cozumel Island, located the Caribbean Sea, where plastic debris, primarily from inadequate management, adversely affects its beaches. Nine beaches were selected conduct debris sampling and determine abundance, density, type of objects found at sites. Three repetitions conducted surface each beach, while three samplings eight analyze buried debris. One was discarded for because rocky composition. Data collected between March 22 June 15, 2019. A total 25,102 items found, 94% which plastic. Similarly, 4,365 recorded, with vast majority (97.8%) being Surface densities vary, influenced by factors such as beach location, substrate composition, human visitation. Beaches lower presence exhibit highest densities, particularly windward areas. Statistical models indicate that low-to-medium visitor influx location significantly impact characteristics. Insights this research contribute understanding dynamics beaches, plays crucial role informed policymaking conservation efforts.

Language: Английский

Citations

0