Table 1 Current understanding, process insights and research priorities for subsurface microplastics
From: The distribution of subsurface microplastics in the ocean
Current knowledge and confidence level | Process insights | Major gaps and priority level |
---|---|---|
Distribution Spatial distribution: • Microplastics permeating throughout the water column (H) • Higher abundances in nearshore than offshore waters (M) • Abundances of large microplastics decline sharply with depth24,35,60 (H) • An even distribution of small microplastics12,14,23 (H) • Subsurface maximum occurring in the bathypelagic layer10,11,12 (H) • Plastic-C:POC ratio increase with depth20,23 (L) Size distribution: • Microplastics under 100 µm dominate the count11,12,14,23 (H) • Nanoparticles were confirmed121 (L) Polymer distribution: • Buoyant polymers dominating overall (L) • Dense polymers being more prevalent offshore and in deeper waters (M) • Specific polymers differing between nearshore and offshore (M) Shape category/distribution: • Non-fibrous particles and fibre (M) Mechanisms Physically mediated processes: • Wind-driven mixing transports microplastics downwards122 (H) • Eddy subduction delivers small microplastics to depth35,36 (L) • Water stratification retains large microplastics11,56 (M) • Slow currents converge microplastics10,11 (L) Biologically mediated processes: • Biofilm alone can rarely sink microplastics to the sea floor42,46 (H) • Microplastics flux with a power-law profile is confirmed20 (L) • Faecal pellets and mineral ballast are an efficient shuttle to export microplastics to the deep sea34,43,123 (L) | • Proximity to terrestrial sources, shallow water depth and high biological activities may contribute to high concentrations in nearshore waters • As particles get smaller, size largely determines their transport and fate • Small microplastics, regardless of their densities, sink at comparable speeds • The non-degradable plastic-C is changing the marine C system, especially in the deep sea • Variations in the degradation potential of polymers and different plastic sources may contribute to spatial differences in polymer distribution • Particle retention time in stratified layers increases quadratically with particle size73 • Seasonal stratification may pump large microplastics into deeper depths • Marine aggregates are an important vector to transport microplastics to the deeper waters20 | Enhancing standardization and data resolution: • Standardize protocols (H) • Coordinated abundance observations on regional and global scales (M) • Long-time monitoring of microplastics flux from nearshore to offshore in different biogeochemical provinces (H) • Leverage archived marine particle samples (M) • Enhance nanoplastic and microfibre observation (H) • Develop continuous, high-resolution monitoring techniques (M) • Constrain the boundary of microplastics accumulation zones beneath the surface (M) Improving particle characterization: • Define size, shape, density, colour and chemical signature following a continuous distribution (H) • Estimate in situ density of microplastics, including plastic and any biotic/abiotic materials on its surface (M) • Advance methods for quantifying plastic ages and carbon composition (M) Addressing microplastics source: • Explore the exchange between the ocean and the atmosphere (H) • Better understand plastic fragmentation in both nearshore and offshore waters (M) Defining key parameters of biological and physical transport mechanisms: • Study the physical structure of microplastics-associated biofilm, such as thickness, roughness, cell number and biomass (L) • Estimate sinking rates of environmentally relevant microplastics colonized by biofilm, incorporated into marine snow and faecal pellets (H) • Quantify the effects of biogenic minerals on the vertical flux of plastics (H) • Study the changes in microbiome of plastic-laden marine snow during their transit through the water column (L) • Explore transport efficiency of physical subduction such as seasonal variations of water stratification and eddies (M) Model optimization: • Developing environmentally relevant microplastic parameterizations based on experiments and observations, specifically focusing on plastic-C:organic-C ratios in particle fluxes, particle sinking rates, remineralization rates and zooplankton ingestion rates (H) • Creation of standardized datasets from which to assess model performance (H) • Improved mechanistic parameterizations of the biotic and abiotic fragmentation of plastics (H) • Improved estimates of sources and sinks to constrain the global microplastics budget (H) |