학술논문

Ocean primary production calculated by spectral and broad-band models
Document Type
research-article
Source
Marine Ecology Progress Series, 1992 Aug . 85(1/2), 171-185.
Subject
Primary productivity
Visible spectrum
Wavelengths
Production estimates
Oceans
Chlorophylls
Absorption spectra
Sea water
Phytoplankton
Absorptivity
Language
English
ISSN
01718630
16161599
Abstract
Water-column primary production was determined by the 14C in situ method during the spring bloom in the North Atlantic Ocean. For the same samples, the parameters of the photosynthesislight (P–I) curve were determined in broad-band light, and in narrow spectral bands for construction of the action spectrum. Using these parameters, with information on the vertical distribution of chlorophyll, measurements of light absorption by particulate materials, and data on surface irradiance, watercolumn production was calculated using 4 different production models. When compared to in situ primary production measurements, the results show that the spectral model, Model 1, is the best estimator of water-column primary production. Model 2 which used broad-band αB (the initial slope of P–I curve, normalized to biomass B) with light integrated over wavelength, and Model 4 (broad-band αB and broad-band light), consistently underestimated production by about 25 % and 60 % respectively. However, Model 3 (in which light is computed using a depth-averaged attenuation coefficient, K̄, and in which αB is assumed to be wavelength-independent) gave water-column primary production estimates not significantly different from in sity values. It is recommended that the spectral model should be applied, whenever possible, in the computations of water-column primary production. If, however, broad-band αB has to be used in the calculations, it is suggested that light at depth be computed if possible using K̄. The use of the fully broad-band model, Model 4, is not recommended. This is because the model gave strongly biased estimates of water-column primary production relative to the observed values.