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Constraining zooplankton exposure to microplastic at the global scale: results from a new coupled physical-biogeochemical model (NEMO/PISCES-PLASTIC)

2022 Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Camille Richon, Camille Richon, Camille Richon, Christophe Maes, Christophe Maes, Ika Paul-Pont Camille Richon, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Camille Richon, Camille Richon, Camille Richon, Camille Richon, Thomas Gorguès, Thomas Gorguès, Thomas Gorguès, Thomas Gorguès, Camille Richon, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Camille Richon, Ika Paul-Pont Camille Richon, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Thomas Gorguès, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Christophe Maes, Christophe Maes, Ika Paul-Pont Christophe Maes, Ika Paul-Pont Christophe Maes, Christophe Maes, Christophe Maes, Christophe Maes, Ika Paul-Pont Christophe Maes, Christophe Maes, Christophe Maes, Ika Paul-Pont Camille Richon, Christophe Maes, Ika Paul-Pont Ika Paul-Pont Camille Richon, Ika Paul-Pont Ika Paul-Pont Camille Richon, Camille Richon, Christophe Maes, Christophe Maes, Camille Richon, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Christophe Maes, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Christophe Maes, Ika Paul-Pont Ika Paul-Pont Camille Richon, Ika Paul-Pont Ika Paul-Pont Christophe Maes, Ika Paul-Pont Ika Paul-Pont Ika Paul-Pont Camille Richon, Camille Richon, Ika Paul-Pont Camille Richon, Ika Paul-Pont Christophe Maes, Ika Paul-Pont

Summary

Researchers used a global coupled physical-biogeochemical ocean model (NEMO/PISCES-PLASTIC) to estimate zooplankton exposure to microplastics across all oceanic regions and depth layers, simulating realistic nutrient and plankton cycling alongside a 3D microplastic transport module. The model enabled global-scale quantification of microplastic concentrations in zooplankton habitat zones, addressing the difficulty of direct in situ measurement and the largely unknown population-level impacts of microplastic ingestion on marine food webs.

Study Type Environmental

<p>Zooplankton are among the most abundant animals in the ocean and are keystone species linking primary producers to higher trophic levels. Microplastics (MP) are becoming ubiquitous contaminants in the ocean that may spread through water layers from surface to bottom in all oceanic regions and be ingested by zooplankton. MP ingestion by zooplankton may lead to deleterious effects that may spread up the food-web to ultimately impact entire ecosystems. However, in situ quantification of MP contamination in the water and the biota is complex. As a result, global impacts of MP on zooplankton remain largely unknown. In this study, we use a global coupled physical-biogeochemical model providing realistic nutrient and plankton cycling, augmented with a 3D module for the representation of MP, in order to calculate the first global estimates of zooplankton exposure to MP. Results indicate that water contamination by MP is highest in the surface of subtropical gyres and coastal areas close to major MP sources, while sinking MP accumulates at the bottom of coastal zones close to their sources. We estimate zooplankton exposure to MP based on water concentrations of MP, particles and plankton and on zooplankton grazing rate. We found 2 main drivers favouring high zooplankton exposure to MP: 1) high water MP contamination, which increases zooplankton ingestion risk, even at low grazing rates and 2) intense grazing activity in productive regions increasing MP exposure even in moderately contaminated waters. Finally, despite low seasonal variability in [MP], buoyant MP may be seasonally transported to the mesopelagic waters (between 100and 1000m) by convective currents. Consequently, re-stratification of surface waters may lead to highest MP concentration in surface coinciding with planktonic blooms, thus periodically increasing contamination risk.</p>

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