Qualitative and Quantitative Beach Cleanliness Assessment to Support Marine Litter Management in Tropical Destinations

Beach litter in three South American countries: A baseline for restarting monitoring and cleaning after COVID-19 closure

The COVID-19 pandemic caused that most countries established the closure of many beaches, affecting the scientific monitoring of thousands of coastal sectors. This article shows the status of beach litter in South America before and after COVID-19 closure. The data were obtained during the years 2019, 2020 and 2022 on 25 beaches using a technique BLAT-QQ. The results show that cigarette butts were the most frequent type of litter, meanwhile Brazil should improve cleanliness of general gross litter and gross polystyrene. Colombia gross vegetation litter and small vegetation litter, and Ecuador organic litter from animals. The results shown in qualitative and quantitative manner facilitate their understanding for managers, scholars and activists interested on beach litter monitoring. This baseline is useful to analyse regional and worldwide marine litter trends with the purpose to start or restart monitoring of tourist beaches from a science-based method.

Multitemporal Scenic Evaluation of Urban Coastal Sites: A Peruvian Case Study

Along the coast of Peru, intensive urbanization and tourism development were related to coastal scenery deterioration. This investigation carried out a scenery evaluation of 20 urban beaches from the “Circuito de Playas de la Costa Verde” (CPCV), a key beach corridor in Lima (Peru). For this purpose, the Coastal Scenic Evaluation System (CSES) was applied in three different seasons, using fuzzy logic to reduce observer subjectivity and estimate the Evaluation index (D). A total of 26 parameters were evaluated to estimate the D value during summer 2020, winter 2020, and summer 2021, to determine the temporal variability of the landscape of an urban coastal sector, such as the CPCV. The results show that all evaluated beaches are classified as very unattractive sites (Class V). Additionally, no significant differences were found between seasons but between beaches. Litter and disturbance factors (noise) were the main human parameters that had low and variable scores during assessments and influenced the D index value estimate. This scenery assessment proposes further implementations of new beach management strategies and actions focusing on landscaping and conserving coastal ecosystems. Strengthening monitoring to reduce noise and litter disturbance and promoting environmentally friendly coastal usage are vital aspects that must be implemented.