Optical characterization of primary productivity across a coastal front |
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| Authors: | R C Smith R R Bidigare B B Prézelin K S Baker J M Brooks |
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| Institution: | (1) University of California Marine Bio-Optics Group, Geography Department, University of California at Santa Barbara, 93106 Santa Barbara, California, USA;(2) Department of Oceanography, Texas A&M University, 77843 College Station, Texas, USA;(3) Oceanic Biology Group, Marine Science Institute, University of California at Santa Barbara, 93106 Santa Barbara, California, USA;(4) Department of Biological Sciences, University of California at Santa Barbara, 93106 Santa Barbara, California, USA;(5) University of California Marine Bio-Optics Group, Scripps Institution of Oceanography, University of California at San Diego, 92093 La Jolla, California, USA |
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| Abstract: | Methods for the remote estimation of phytoplankton biomass and production rates using multiplatform sampling strategies are essential for the better understanding of oceanic bio-geochemical cycles. Recent advances in remote sensing of ocean color have made synoptic estimation of phytoplankton biomass attainable. While considerable success has been achieved in the estimation of plant biomass, the synoptic estimation of phytoplankton rates of production has been inadequate. Rapid shipboard estimates of the vertical distribution of primary productivity, on mesoscale spatial scales and event-time scales, are needed to provide both surface validation and data for the development of bio-optical models linking production to the optical characteristics of the water column. This study details the primary productivity and optical properties of a frontal region in July 1985 along 35°50 N in the Southern California Bight which is shown to be consistent with the concurrent high-performance liquid-chromatography pigment-analysis. We describe here a  quasi-synoptic shipboard bio-optical sampling strategy across a frontal region as an example of time-corrected data for assessing phytoplankton production in highly variable ocean regions. |
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