Articles | Volume 18, issue 5
https://doi.org/10.5194/os-18-1451-2022
https://doi.org/10.5194/os-18-1451-2022
Research article
 | 
13 Oct 2022
Research article |  | 13 Oct 2022

A clustering approach to determine biophysical provinces and physical drivers of productivity dynamics in a complex coastal sea

Tereza Jarníková, Elise M. Olson, Susan E. Allen, Debby Ianson, and Karyn D. Suchy

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-66', Jennifer Jackson, 05 Oct 2021
    • AC2: 'Reply on RC1', Tereza Jarnikova, 14 Mar 2022
  • RC2: 'Comment on os-2021-66', Anonymous Referee #2, 21 Jan 2022
    • AC1: 'Reply on RC2', Tereza Jarnikova, 14 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Tereza Jarnikova on behalf of the Authors (11 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 Apr 2022) by Bernadette Sloyan
ED: Publish subject to minor revisions (review by editor) (09 May 2022) by Bernadette Sloyan
AR by Tereza Jarnikova on behalf of the Authors (28 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (31 May 2022) by Bernadette Sloyan
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Short summary
Understanding drivers of phytoplankton biomass in dynamic coastal regions is key to predicting present and future ecosystem functioning. Using a clustering-based method, we objectively determined biophysical provinces in a complex estuarine sea. The Salish Sea contains three major distinct provinces where phytoplankton dynamics are controlled by diverse stratification regimes. Our method is simple to implement and broadly applicable for identifying structure in large model-derived datasets.