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pmid: 33691217
handle: 10630/29395 , 10261/257468 , 11365/1147240 , 10508/11991
In this paper a novel methodology to assess the risk of marine litter (ML) pollution in the Mediterranean Sea is implemented. In this approach, the hazard component is estimated using a state-of-the-art 3D modeling system, which allows the simulation of floating and sinking ML particles; the exposure component is defined from biodiversity estimates; and the vulnerability is related to ML ingestion rates of each species. The results show that the hot-spots for the ML risk concentrate in the coastal regions, and are mainly conditioned by the biodiversity in the region. A dedicated analysis on the marine protected areas shows that the risk therein is controlled by the proximity to ML sources and that their present-day protection levels are not effective in the case of ML pollution. Only a reduction of ML at the sources could reduce the impact of ML pollution in protected areas.
570, Marine litter, 550, 330, Biodiversidad marina, earth, Mediterranean Sea ,Risk assessment, Risk Assessment, Marine Protected Areas (MPA), litter, Mediterranean Sea, Mediterranean biodiversity, biodiversity, Risk assessment, fish, Biodiversity, marine pollution, Contaminación marina - Evaluación del riesgo, Marine litter, Mediterranean Sea ,Risk assessment, Mediterranean biodiversity, Marine Protected Areas (MPA), Plastics, Environmental Monitoring
570, Marine litter, 550, 330, Biodiversidad marina, earth, Mediterranean Sea ,Risk assessment, Risk Assessment, Marine Protected Areas (MPA), litter, Mediterranean Sea, Mediterranean biodiversity, biodiversity, Risk assessment, fish, Biodiversity, marine pollution, Contaminación marina - Evaluación del riesgo, Marine litter, Mediterranean Sea ,Risk assessment, Mediterranean biodiversity, Marine Protected Areas (MPA), Plastics, Environmental Monitoring
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 54 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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