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Type
ArticleKAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionMarine Science Program
Red Sea Research Center (RSRC)
Computational Bioscience Research Center (CBRC)
Date
2019-01-21Online Publication Date
2019-01-21Print Publication Date
2019-04Permanent link to this record
http://hdl.handle.net/10754/631046
Metadata
Show full item recordAbstract
To verify weather mangroves act as sinks for marine litter, we surveyed through visual census 20 forests along the Red Sea and the Arabian Gulf, both in inhabited and remote locations. Anthropogenic debris items were counted and classified along transects, and the influence of main drivers of distribution were considered (i.e. land-based and ocean-based sources, density of the forest and properties of the object). We confirmed that distance to major maritime traffic routes significantly affects the density of anthropogenic debris in Red Sea mangrove forests, while this was independent of land-based activities. This suggests ocean-based activities combined with surface currents as major drivers of litter in this basin. Additionally, litter was more abundant where the mangrove density was higher, and object distribution through the mangrove stand often depended on their shape and dimension. We particularly show that pneumatophores act as a sieve retaining large plastic objects, leading to higher plastic mass estimates in mangroves compared to those of beaches previously surveyed in the Red Sea.Citation
Martin C, Almahasheer H, Duarte CM (2019) Mangrove forests as traps for marine litter. Environmental Pollution 247: 499–508. Available: http://dx.doi.org/10.1016/j.envpol.2019.01.067.Sponsors
This work was supported and funded by the King Abdullah University of Science and Technology (KAUST) through the baseline funding to CMD. We thank the Coastal and Marine Resources Core Lab and Red Sea Research Center colleagues for field assistance. We particularly thank Núria Marbà, Katherine Rowe and Amr Gusti for support during fieldwork and Marco Fusi for help during data analysis.Publisher
Elsevier BVJournal
Environmental PollutionAdditional Links
https://www.sciencedirect.com/science/article/pii/S0269749118343902ae974a485f413a2113503eed53cd6c53
10.1016/j.envpol.2019.01.067