Paper
6 February 1997 Estimating new production from the quantum yield of nitrate uptake
Raphael M. Kudela, Francisco P. Chavez
Author Affiliations +
Proceedings Volume 2963, Ocean Optics XIII; (1997) https://doi.org/10.1117/12.266487
Event: Ocean Optics XIII, 1996, Halifax, Nova Scotia, Canada
Abstract
Under most conditions nitrate uptake is light-dependent and may be characterized using the same uptake-irradiance response parameters as carbon. This suggests that the quantum yield of nitrate may be determined, which in turn allows for the determination of new production using existing quantum-based models of primary production. Balanced growth conditions are rare in upwelling phytoplankton assemblages, which makes it difficult to gauge new production from primary production. During the spring of 1995, a multi-investigator initiative was carried out to assess the role of biology in the air-sea exchange of carbon dioxide in coastal Central California. During the upwelling season this region is highly variable in space and time and provides the opportunity to study phytoplankton exhibiting a variety of physiological states and occurring in a variety of environmental milieus. Measured bio-optical parameters demonstrated no correlation to the corresponding environmental characteristics, and comparison of the calculated quantum yields demonstrated that phytoplankton carbon and nitrogen metabolic processes were not in a balanced state, as would be expected. Determination of new production rates using a simple bio-optical model was in good agreement with traditional estimates of new production using 15N incubations.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raphael M. Kudela and Francisco P. Chavez "Estimating new production from the quantum yield of nitrate uptake", Proc. SPIE 2963, Ocean Optics XIII, (6 February 1997); https://doi.org/10.1117/12.266487
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Cited by 3 scholarly publications.
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KEYWORDS
Quantum efficiency

Nitrogen

Carbon

NOx

Data modeling

Magnesium

Absorption

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