ArticleNature communications2021
Marine snow morphology illuminates the evolution of phytoplankton blooms and determines their subsequent vertical export.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Biofilm formation and dynamics in the marine cyanobacterium Prochlorococcus.Nature communications · 2026Article
- Carbon, nitrogen, and sulfur cycling unveil deep-sea microbial niches in the Atacama Trench.Nature communications · 2026Article
- High-frequency observations during Adriatic mucilage event reveal unique phytoplankton traits and diversity response.Scientific reports · 2025Article
- Sinking particles exporting diatoms and Hacrobia predict the magnitude of oceanic POC flux.The ISME journal · 2025Article
- Article
- Cell size, density, and nutrient dependency of unicellular algal gravitational sinking velocities.Science advances · 2024Article
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- Taxon-specific contributions of microeukaryotes to biological carbon pump in the Oyashio region.ISME communications · 2024Article
- Morphological diversity increases with decreasing resources along a zooplankton time series.Proceedings. Biological sciences · 2023Article
- Seasonality of downward carbon export in the Pacific Southern Ocean revealed by multi-year robotic observations.Nature communications · 2023Article
- Porous marine snow differentially benefits chemotactic, motile, and nonmotile bacteria.PNAS nexus · 2023Article
- Persistent reshaping of cohesive sediment towards stable flocs by turbulence.Scientific reports · 2023Article
- Disaggregation as an interaction mechanism among intestinal bacteria.Biophysical journal · 2022Article
- Machine learning techniques to characterize functional traits of plankton from image data.Limnology and oceanography · 2022Review
- Combining multi-marker metabarcoding and digital holography to describe eukaryotic plankton across the Newfoundland Shelf.Scientific reports · 2022Article
- Assessing Representation Learning and Clustering Algorithms for Computer-Assisted Image Annotation-Simulating and Benchmarking MorphoCluster.Sensors (Basel, Switzerland) · 2022Article
- The Underwater Vision Profiler 6: an imaging sensor of particle size spectra and plankton, for autonomous and cabled platforms.Limnology and oceanography, methods · 2022Article
- From Nano-Gels to Marine Snow: A Synthesis of Gel Formation Processes and Modeling Efforts Involved with Particle Flux in the Ocean.Gels (Basel, Switzerland) · 2021Review
- Large-scale culturing ofJournal of plankton researchArticle
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The organic carbon produced in the ocean's surface by phytoplankton is either passed through the food web or exported to the ocean interior as marine snow. The rate and efficiency of such vertical export strongly depend on the size, structure and shape of individual particles, but apart from size, other morphological properties are still not quantitatively monitored. With the growing number of in situ imaging technologies, there is now a great possibility to analyze the morphology of individual marine snow. Thus, automated methods for their classification are urgently needed. Consequently, here we present a simple, objective categorization method of marine snow into a few ecologically meaningful functional morphotypes using field data from successive phases of the Arctic phytoplankton bloom. The proposed approach is a promising tool for future studies aiming to integrate the diversity, composition and morphology of marine snow into our understanding of the biological carbon pump.
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