Ocean Science
Ocean Science
OS
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/os-18-1451-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-1451-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
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

Viewed

Total article views: 3,282 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,331 865 86 3,282 112 114
  • HTML: 2,331
  • PDF: 865
  • XML: 86
  • Total: 3,282
  • BibTeX: 112
  • EndNote: 114
Views and downloads (calculated since 26 Jul 2021)
Cumulative views and downloads (calculated since 26 Jul 2021)

Viewed (geographical distribution)

Total article views: 3,282 (including HTML, PDF, and XML) Thereof 3,131 with geography defined and 151 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Nov 2025
Download
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.
Read more
Share