We conducted surveys of Mediterranean beaches in Egypt, Morocco, and Tunisia including 37 macro-litter (> 25 mm) and 41 meso-litter (5–25 mm) assessments. Our study identified key litter items and assessed pollution sources on urban, semi-urban, tourist, and semi-rural beaches. Macro-litter concentration averaged 5032 ± 4919 pieces per 100 m or 1.71 ± 2.28 pieces/m², with higher values observed on urban (mean 2.63 pieces/m² ± 3.03) and tourist (mean 1.23 pieces/m² ± 0.91) beaches. Similarly, urban (mean 9.91 pieces/m² ± 12.70) and tourist beaches (mean 5.32 pieces/m² ± 4.48) revealed elevated levels of meso-litter contamination, particularly in the upper third of the beach, which contained the highest quantities both in terms of number (51%) and weight (50%). 55% of the macro-litter and 35% of the meso-litter originated from human shoreline activities and poor waste management. Given the width of some beaches and their high levels of pollution, the standard 100 m macro-litter approach was impractical. To enable cost-effective, long-term monitoring, we adapted it to a faster 10 m transect approach, which provided reliable data on the top 25 litter items, accounting for 82% of beach pollution. Our Sand Rake method effectively quantified pollution on both cleaned and uncleaned beaches, addressing the often neglected meso-litter size fraction. The high pollution levels, top litter items, and identified sources indicate that beach cleaning alone will not solve the pollution problem. Efforts to raise environmental awareness, enhanced waste management, and law enforcement are needed to improve the situation in a sustainable way.

Sandy beaches along the North African Mediterranean coast face significant challenges due to accumulating human-made debris (marine litter) and natural debris (beach wrack). Addressing these issues requires awareness of pollution and the ecological relevance of beach wrack, along with stakeholder involvement. This study quantifies beach litter pollution and identifies sources in Tunisia, Morocco, and Egypt, serving as a basis for ecosystem service assessments and further integration into the implementation of mitigation measures. High levels of plastic litter were found, ranging from 1565 to 7778 pieces per 100 m of beach length. Shoreline activities, tourism, and poor waste management were identified as the main sources of litter, with single-use plastics accounting for 41.1% of the debris. Further objectives include providing a list of suitable ecosystem services and developing management scenarios. Local stakeholders’ perceptions of the impact of marine litter and beach wrack on ecosystem services were assessed using a scenario approach and different formats (i.e., stakeholder workshop, interviews, teaching). Stakeholders highlighted the negative impact of marine litter on cultural services, while beach wrack was perceived positively for regulating and maintenance services. This approach enhances awareness, interest, and knowledge in data-scarce regions, serving as a valuable tool for stakeholder engagement, elicitation of stakeholder knowledge, and teaching (i.e., learning tool). Limitations include the subjectivity of the results, limited participant reach, and dependence on stakeholder knowledge. Integrating stakeholder-based ecosystem service assessments into measure planning and decision making is essential for effective litter management and beach conservation efforts.

Marine litter is a critical environmental issue, with beach litter being its most visible indicator. Despite severe pollution on Mediterranean beaches, Tunisia currently lacks a national beach litter monitoring program. To address this gap and support the development of such a program, particularly at pollution hotspots like urban beaches, we conducted a one-year study on six Tunisian beaches. We employed an innovative, accelerated multiple 10 m transect method tailored to highly polluted beaches, focusing on macro-litter (>2.5 cm). This method significantly reduces survey time compared to the standard 100 m approach while maintaining comparable pollution metrics, offering a practical and efficient solution for areas with high litter density. Our findings reveal an average litter density of 1.01 ± 1.08 pieces/m², with higher pollution in urban areas. Based on the Clean Coast Index (CCI), two beaches were classified as extremely dirty, one as dirty, two as moderately clean, and one as clean. Plastics (59.2%) and cigarette butts (21.1%) were the most prevalent pollutants, with single-use plastics comprising 52.5% ± 5.3% of total litter. Most of the litter (60.6%) originated from shoreline activities and poor waste management. These findings underscore the urgent need for a long-term national beach litter monitoring program. The integration of our accelerated transect method would enable efficient, effective surveys on highly polluted beaches, providing critical data to address litter sources and support targeted strategies for mitigating pollution and protecting Tunisia’s coastal ecosystems.

The authors would like to make the following correction to the published paper