Information on the vertical chlorophyll structure in the ocean is important for estimating integrated chlorophyll a and primary production from satellite. For this study, vertical chlorophyll profiles from the Benguela upwelling system and the Angola-Benguela front were collected in winter to identify characteristic profiles. A shifted Gaussian model was fitted to each profile to estimate four parameters that defined the shape of the curve: the background chlorophyll concentration (B 0 ), the height parameter of the peak (h), the width of the peak (σ) and the depth of the chlorophyll peak (z m ). A type of artificial neural network called a self-organizing map (SOM) was then used on these four parameters to identify characteristic profiles. The analysis identified a continuum of chlorophyll patterns, from those with large surface peaks (>10 mg m -3 ) to those with smaller near-surface peaks (<2 mg m -3 ). The frequency of occurrence of each chlorophyll pattern identified by the SOM showed that the most frequent pattern (~12%) had a near-surface peak and the least frequent pattern (~2%) had a large surface peak. These characteristic profile shapes were then related to pertinent environmental variables such as sea surface temperature, surface chlorophyll, mixed layer depth and euphotic depth. Partitioning the SOM output map into environmental categories showed large peaks of surface chlorophyll dominating in water with cool temperature, high surface chlorophyll concentration and shallow mixed layer and euphotic depth. By contrast, smaller peaks of subsurface chlorophyll were in water with warmer temperature, lower surface chlorophyll concentration, intermediate mixed layer and deep euphotic depth. These relationships can be used semi-quantitatively to predict profile shape under different environmental conditions. The SOM analysis highlighted the large variability in shape of vertical chlorophyll profiles in the Benguela. This suggests that an ideal typical chlorophyll profile, as used in the framework of biogeochemical provinces, may not be applicable to this dynamic upwelling system.
The biomass and productivity of phytoplankton populations inshore on the west coast of South Africa were investigated towards the end of the upwelling season, a period when high-biomass dinoflagellate blooms are common. Productivity was estimated from natural fluorescence measurements (PNF), using photosynthesis (P) v. irradiance (E) relationships (P E ) and by means of the in situ J4C-method (Pcl A linear regression of Pm' productivity against Pc and P E productivities yielded a slope of 0.9] I and an r2 of 0.83 (n = 4]). Physical and biological variability was high inshore, reflecting alternating periods of upwelling and quiescence. Mean ch]orophyll inshore (within a 12 m water column) ranged from 0.7 to 57.8 (mean = 8.9) mg'm-3, mean Pmproductivity ranged from 8.4 to 51.0 (mean = 24.6) mgC'm-3'h-J and daily integral PNF productivity from 0.8 to 4.8 (mean = 2.3) gC·m-2·day-l. Transects sampled during active and relaxation phases of upwelling had different chlorophyll distributions. High chlorophyll concentrations (sometimes >50 mg·m-3) were associated with surface blooms within the region of the upwelling front. Estimates of daily water-column PNF productivity within these frontal blooms ranged from 4.0 to 5.6 gC·m-2·day-J. With relaxation of wind stress, blooms dominated by dinoflagellates flooded shorewards and often formed red tides. Ch]orophyll concentrations of > 175 mg·m-3 and productivity rates> 500 mgC·m-3·h -J and 12 gCm-2'day-l were measured during a particularly intense red tide. Offshore, the water column was highly stratified with a well-defined subsurface chlorophyll maximum layer within the pycnocline region. Estimates of daily water-column PNF productivity ranged from 2.4 to 4.0 gC'm-2'day-J offshore. The high productivity of shelf waters on the West Coast in late summer can be ascribed largely to dinoflagellate populations and their success in both upwelling systems and stratified conditions. 273
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