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

Viewed

Total article views: 2,481 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,846 574 61 2,481 67 48
  • HTML: 1,846
  • PDF: 574
  • XML: 61
  • Total: 2,481
  • BibTeX: 67
  • EndNote: 48
Views and downloads (calculated since 26 Jul 2021)
Cumulative views and downloads (calculated since 26 Jul 2021)

Viewed (geographical distribution)

Total article views: 2,481 (including HTML, PDF, and XML) Thereof 2,355 with geography defined and 126 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Nov 2024
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.