Photosynthetic maximum quantum yield increases are an essential component of the Southern Ocean phytoplankton response to iron

• Published in: Proceedings of the National Academy of Sciences
• Main Authors: Hiscock, MR, Lance, VP, Apprill, AM, Bidigare, RR, Johnson, ZI, Smith, WO, Jr.
• Format: Text
• Language: unknown
• Published: W&M ScholarWorks 2008
• Subjects: Equatorial Pacific-Ocean; Primary Productivity; Enrichment Experiment; Atlantic Sector; Light; Fertilization; Size; Models; Color; Water; Biological Sciences Peer-Reviewed Articles; Aquaculture and Fisheries; Southern Ocean; Pacific; Antarc*; Antarctica
• Online Access: https://scholarworks.wm.edu/vimsarticles/990; https://scholarworks.wm.edu/context/vimsarticles/article/1990/viewcontent/4775.full.pdf

It is well established that an increase in iron supply causes an increase in total oceanic primary production in many regions, but the physiological mechanism driving the observed increases has not been clearly identified. The Southern Ocean iron enrichment experiment, an iron fertilization experiment in the waters closest to Antarctica, resulted in a 9-fold increase in chlorophyll (Chl) concentration and a 5-fold increase in integrated primary production. Upon iron addition, the maximum quantum yield of photosynthesis (phi(m)) rapidly doubled, from 0.011 to 0.025 mol C.mol quanta(-1). Paradoxically, this increase in light-limited productivity was not accompanied by a significant increase in light-saturated productivity (P-max(b)). P-max(b) maximum Chl normalized productivity, was 1.34 mg C.mg Chl(-1).h(-1) outside and 1.49 mg C.mg Chl(-1)-h(-1) inside the iron-enriched patch. The importance of phi(m) as compared with P-max(b) in controlling the biological response to iron addition has vast implications for understanding the ecological response to iron. We show that an iron-driven increase in phi(m) is the proximate physiological mechanism affected by iron addition and can account for most of the increases in primary production. The relative importance of phi(m) over P-max(b) in this iron-fertilized bloom highlights the limitations of often-used primary productivity algorithms that are driven by estimates of P-max(b) but largely ignore variability in phi(m) and light-limited productivity. To use primary productivity models that include variability in iron supply in prediction or forecasting, the variability of light-limited productivity must be resolved.