4.7 Article

Seasonal regulation of the coupling between photosynthetic electron transport and carbon fixation in the Southern Ocean

Journal

LIMNOLOGY AND OCEANOGRAPHY
Volume 63, Issue 5, Pages 1856-1876

Publisher

WILEY
DOI: 10.1002/lno.10812

Keywords

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Funding

  1. CSIR's Southern Ocean Carbon and Climate Observatory (SOCCO) Programme
  2. CSIR's Parliamentary Grant [SNA2011112600001]
  3. NRF SANAP grant [SNA14073184298]

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Active fluorescence measurements can provide rapid, non-intrusive estimates of phytoplankton primary production at high spatial and temporal resolution, but there is uncertainty in converting from electrons to ecologically relevant rates of CO2 assimilation. In this study, we examine the light-dependent rates of photosynthetic electron transport and C-13-uptake in the Atlantic sector of the Southern Ocean to derive a conversion factor for both winter (July 2015-August 2015) and summer (December 2015-February 2016). The results revealed significant seasonal differences in the light-saturated chlorophyll specific rate of C-13-uptake, (P-max(B)), with mean summer values 2.3 times higher than mean winter values, and the light limited chlorophyll specific efficiency, (alpha(B)), with mean values 2.7 times higher in summer than in winter. Similar patterns were observed in the light-saturated photosynthetic electron transport rates (ETRmaxRCII, 1.5 times higher in summer) and light limited photosynthetic electron transport efficiency (alpha(RCII), 1.3 times higher in summer). The conversion factor between carbon and electrons (Phi(e:C) (mol e(-) mol C-1)) was derived utilizing in situ measurements of the chlorophyll-normalized number of reaction centers (n(RCII)), resulting in a mean summer Phi(e:C) which was similar to 3 times lower than the mean winter Phi(e:C). Empirical relationships were established between Phi(e:C), light and NPQ, however they were not consistent across locations or seasons. The seasonal decoupling of Phi(e:C) is the result of differences in E-k-dependent and E-k-independent variability, which require new modelling approaches and improvements to bio-optical techniques to account for these inter-seasonal differences in both taxonomy and environmental mean conditions.

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