Articles | Volume 17, issue 4
https://doi.org/10.5194/bg-17-833-2020
https://doi.org/10.5194/bg-17-833-2020
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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (02 Dec 2019) by Ciavatta Stefano
AR by Audrey Delpech on behalf of the Authors (03 Dec 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Dec 2019) by Ciavatta Stefano
RR by Anonymous Referee #1 (07 Dec 2019)
RR by Anonymous Referee #2 (20 Dec 2019)
ED: Publish subject to minor revisions (review by editor) (28 Dec 2019) by Ciavatta Stefano
AR by Audrey Delpech on behalf of the Authors (07 Jan 2020)  Author's response    Manuscript
ED: Publish as is (10 Jan 2020) by Ciavatta Stefano
AR by Audrey Delpech on behalf of the Authors (16 Jan 2020)  Author's response    Manuscript
Download
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.
Altmetrics
Final-revised paper
Preprint