Vertical stratification of phytoplankton biomass in a deep estuary site: implications for satellite-based net primary productivity

The accuracy of satellite estimates for water column net primary productivity (NPP) are contingent upon the reliability of surface phytoplankton biomass, specifically chlorophyll a (Chl. a ) and carbon (C phyt ), as indicators of euphotic biomass and photosynthetic rate. We assessed patterns in wate...

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Bibliographic Details
Published in:Frontiers in Marine Science 2024-01, Vol.10
Main Authors: Gall, Mark, Zeldis, John, Safi, Karl, Wood, Simon, Pinkerton, Matthew
Format: Article
Language:eng
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Summary:The accuracy of satellite estimates for water column net primary productivity (NPP) are contingent upon the reliability of surface phytoplankton biomass, specifically chlorophyll a (Chl. a ) and carbon (C phyt ), as indicators of euphotic biomass and photosynthetic rate. We assessed patterns in water column biomass at a deep estuary site (~40 m) in the Firth of Thames, Hauraki Gulf, New Zealand, using ten years (2005-2015) of in situ sampling (40 seasonal voyages and moored instrumentation). Seasonal biomass stratification coincided with physical and chemical stratification and exhibited a reasonable predictability based on surface Chl. a measures from mooring timeseries. High Chl. a (but not C phyt ) accumulated from late-spring (Nov.) in the lower portion of the water column, under nutrient deficient, clear surface water with deep euphotic zone conditions, peaking in mid-summer (Jan.) and ending by early autumn (Mar.). Satellite (MODIS-Aqua) NPP (2002-2018), was estimated with and without correction for deep biomass in two vertically generalized production models (Chl. a -VGPM and C phyt -CbPM). Mean annual NPP (220-161 g C m -2 y -1 , VGPM and CbPM respectively) increased 5-18% after accounting for euphotic zone deep biomass with a mid-summer maxim (Jan.: 30-33%). Interannual anomalies in biomass and NPP (about -10% to 10%) were an order of magnitude greater than small decreasing trends (
ISSN:2296-7745
2296-7745