Abstract
The balance between ocean mixing and stratification influences primary productivity through light limitation and nutrient supply in the euphotic ocean. Here, we apply a hierarchical clustering algorithm (Ward's method) to four factors relating to stratification and depth-integrated phytoplankton biomass extracted from a biophysical regional ocean model of the Salish Sea to assess spatial co-occurrence. Running the clustering algorithm on four years of model output, we identify distinct regions of the model domain that exhibit contrasting wind and freshwater input dynamics, as well as regions of varying watercolumn-averaged vertical eddy diffusivity and halocline depth regimes. The spatial regionalizations in physical variables are similar in all four analyzed years. We also find distinct interannually consistent biological zones. In the Northern Strait of Georgia and Juan de Fuca Strait, a deeper winter halocline and episodic summer mixing coincide with higher summer diatom abundance, while in the Fraser River stratified Central Strait of Georgia, shallower haloclines and stronger summer stratification coincide with summer flagellate abundance. Cluster based model results and evaluation suggest that the Juan de Fuca Strait supports more biomass than previously thought. Our approach elucidates probable physical mechanisms controlling phytoplankton abundance and composition. It also demonstrates a simple, powerful technique for finding structure in large datasets and determining boundaries of biophysical provinces.
Highlights
Marine phytoplankton form the basis of the oceanographic food web and are responsible for approximately half of global carbon fixation (Field et al (1998))
We apply a hierarchical clustering algorithm (Ward’s method) to four factors relating to stratification and depth-integrated phytoplankton biomass extracted from a biophysical regional ocean model of the Salish Sea to assess spatial co-occurrence
We describe the main physical-oceanographic subregions in the domain (CSog, Northern Strait of Georgia (NSoG), and Juan de Fuca Strait (JdF)) determined by clustering the physical factors and interpret our results in the context of previous work
Summary
Marine phytoplankton form the basis of the oceanographic food web and are responsible for approximately half of global carbon fixation (Field et al (1998)). The interplay of different stratification regimes exerts control on the structure of ocean ecosystems (e.g. Legendre (1981)), 25 and changes in regime have been linked to shifts in phytoplankton community composition (e.g. Huisman et al (2004)). Coastal regions are disproportionately more productive compared to the open ocean (Longhurst et al (1995)) and typically have more complex mixing, circulation, and stratification dynamics than the open ocean, making resolution of phytoplankton biomass patterns 30 difficult. Because both ocean stratification patterns and phytoplankton biomass dynamics may be expected to shift under anthropogenic climate change, there exists a need to characterize their dynamic structure and identify key drivers
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