Combining <i>in situ</i> and <i>ex situ</i> plankton image data to reconstruct zooplankton (&amp;gt;1 mm) volume and mass distribution in the global ocean

Abstract Plankton size spectra are important indicators of the ecosystem state, yet such measurements are typically biased by the available sampling methods. Here, we combined individual size measurement from two zooplankton imaging approaches—in situ observation by the Underwater Vision Profiler5 and Multinet-collection supplemented by ex situ imaging via Zooscan—obtained in the global ocean, to calculate zooplankton normalized biovolume size spectra (NBSS) for all organisms larger than 1 mm. The reconstructed NBSS combining both datasets resulted in increased biomass estimates by adding organisms poorly sampled by either of the methods. The optimal values measured by both methods are used to reconstruct the zooplankton biovolume and biomass distributions. The reconstructed slopes appeared steeper and closer to those measured only by the UVP5 (+7.6%) and flatter than those obtained only from the Multinet (−20%), particularly in tropical and temperate latitudes. The main difference in tropical and temperate NBSS from the two devices is due to the fragile rhizarians that were not accounted for when using net data. When possible, we suggest using in situ and ex situ technologies together, and we provide potential indications on how to correct for missing components of the community when only one method is available.

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Publication Details

Journal
Journal of Plankton Research
Published
2024-09-01
DOI
https://doi.org/10.1093/plankt/fbae046
Citations
6
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
2.88

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article

Combining in situ and ex situ plankton image data to reconstruct zooplankton (&gt;1 mm) volume and mass distribution in the global ocean

Tristan Biard, Gabriel Gorsky, Lars Stemmann, Fabien Lombard et al.
6 citations
Journal of Plankton Research
Marine and coastal ecosystems
2.88
article

Combining in situ and ex situ plankton image data to reconstruct zooplankton (&gt;1 mm) volume and mass distribution in the global ocean

Tristan Biard, Gabriel Gorsky, Lars Stemmann, Fabien Lombard, Jean‐Louis Jamet, Yawouvi Dodji Soviadan, Rainer Kiko, Emilia Trudnowska, Mathilde Dugenne, Laetitia Drago, Jean-Baptiste Romagnan
article en
6 citations

Abstract

Abstract Plankton size spectra are important indicators of the ecosystem state, yet such measurements are typically biased by the available sampling methods. Here, we combined individual size measurement from two zooplankton imaging approaches—in situ observation by the Underwater Vision Profiler5 and Multinet-collection supplemented by ex situ imaging via Zooscan—obtained in the global ocean, to calculate zooplankton normalized biovolume size spectra (NBSS) for all organisms larger than 1 mm. The reconstructed NBSS combining both datasets resulted in increased biomass estimates by adding organisms poorly sampled by either of the methods. The optimal values measured by both methods are used to reconstruct the zooplankton biovolume and biomass distributions. The reconstructed slopes appeared steeper and closer to those measured only by the UVP5 (+7.6%) and flatter than those obtained only from the Multinet (−20%), particularly in tropical and temperate latitudes. The main difference in tropical and temperate NBSS from the two devices is due to the fragile rhizarians that were not accounted for when using net data. When possible, we suggest using in situ and ex situ technologies together, and we provide potential indications on how to correct for missing components of the community when only one method is available.

Journal of Plankton ResearchVol. 46(5)
Centre National de la Recherche Scientifique (FR), Université de Toulon (FR), Ifremer (FR), Institut Universitaire de France (FR), Université de Montpellier (FR), Aix-Marseille Université (FR), Université de Lille (FR), GEOMAR Helmholtz Centre for Ocean Research Kiel (DE), Sorbonne Université (FR), Marine Biodiversity Exploitation and Conservation (FR), Laboratoire d’Océanographie de Villefranche (FR), Institute of Oceanology (BG), Laboratoire d’Océanologie et de Géosciences (FR), Institut de Recherche pour le Développement (FR), University of Lomé (TG), Polish Academy of Sciences (PL)
European Molecular Biology Laboratory, Canada Foundation for Innovation, Agence Nationale de la Recherche
Life below water
Openalex Percentile: Top 10%
Marine and coastal ecosystems
2.88
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