Mangroves in the “Plasticene”: High exposure of coastal mangroves to anthropogenic litter pollution along the Central-West coast of India

Marine Litter Impacting Beaches and Mangrove Forests: A Characterization and Assessment within the Archipelago of Jambelí, Ecuador

“…(Feller et al ., 2017), and favors climate change, because mangrove forests play a relevant role in carbon sequestration (Costanza et al ., 2014). In the mangrove forests of the central–west coast of India, De et al . (2022) related the presence of litter to local sources and fisheries.…”

“…(Feller et al, 2017), and favors climate change, because mangrove forests play a relevant role in carbon sequestration (Costanza et al, 2014). In the mangrove forests of the centralÀwest coast of India, De et al (2022) related the presence of litter to local sources and fisheries. El Oro Province is the second-largest shrimp farm area in Ecuador, with an estimated value of 35,576.6 hectares corresponding to 876 legalized shrimp concessions.…”

“…The presence of litter in the seas and oceans around the world has raised international concern. Beaches have generally been considered spaces where litter accumulates from sea and land sources (Asensio-Montesinos et al ., 2021), and mangrove forests have been considered traps for marine litter (De et al ., 2022; Martin, Almahasheer, and Duarte, 2019). The presence of litter on beaches and mangroves represents only a small fraction of the enormous quantities contained in the oceans.…”

Relevance of Data Analytics in Sustainable Fisheries Management: An Evidence-Based Study

“…Estimating fish effort from remote traffic encounters (Trudeau et al, 2021) the Arabian sea using Google Earth Engine (GEE) and regression plots (Sebastian et al, 2023), detection and quantification of marine litter in mangrove zones using the Non-Parametric Kruskal-Wallis test and PERMANOVA (De et al, 2023), identification of changes in micro plastics pollution in coastal fish species in estuaries using multivariate techniques such as PCO analysis (Jeyasanta et al, 2023) and microplastic distribution in coastal marshlands using ArcGIS and Google Earth (Wu et al, 2022), radiological evaluation of the risk of species habituating along and in beaches such as crabs along the Gulf of Guinea using Pearson correlation, cluster analysis and Principle Component Analysis (PCA) (Akuoko et al, 2023), long-term understanding of species shocks and fluctuations due to environmental change using machine learning, computer vision techniques, Python, and Annotators (Bonofiglio et al, 2022), and obtaining insights into the spatial dynamics of fish anglers behaviour to fish populations especially along the US coast using visualization tools (Lant et al, 2022).…”

“…Some of the major breakthroughs in managing coastal pollution have been reported by studies conducted in estuaries in Tamil Nadu in India (Jeyasanta et al, 2023), in marshland zones (Wu et al, 2022), and in mangrove ecosystems in the Central West coast of India (De et al, 2023) that show geographic similarity patterns of microplastics in the water and sediment of the assessment sites across both seasons using multivariate techniques, such as PCO analysis (Jeyasanta et al, 2023). These studies helped in identifying the spatial variation differences in litter abundance among mangrove stands based on habitat characteristics, concentration differences as different locations and variation in litter abundance between mangrove floors and canopies based on location, for instance, by using PERMANOVA (De et al, 2023). The findings shed light on the effects of anthropogenic litter pollution on India's coastal mangroves, and they can be used to build efficient management measures to lessen these effects.…”