Biogeosciences
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Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/bg-17-833-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-833-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Research article
 | 
18 Feb 2020
Research article |  | 18 Feb 2020

Influence of oceanic conditions in the energy transfer efficiency estimation of a micronekton model

Audrey Delpech, Anna Conchon, Olivier Titaud, and Patrick Lehodey

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Latest update: 13 Dec 2024
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Short summary
Micronekton is an important, yet poorly known, component of the trophic chain, which partly contributes to the storage of CO2 in the deep ocean thanks to biomass vertical migrations. In this study, we characterize the ideal sampling regions to estimate the amount of biomass that undergoes theses migrations. We find that observations made in warm, nondynamic and productive waters reduce the error of the estimation by 20 %. This result should likely serve for future in situ network deployment.
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