Objective
The primary objective of this study is to document the long-term spatial
and temporal distribution of surface blooms of the coccolithophore
Emiliania huxleyi both in coastal U.S. waters and in the global ocean.
E. huxleyi blooms have been recorded to achieve cell concentrations of up to 115 million cells per liter (Berge, 1962). Determing how prevalent these blooms are in the global ocean will help to estimate the magnitude of bloom produced CaCO3 and DMS in the ocean relative to other sources and assess their affect on regional CO2 dynamics and planetary albedo. In addition, the interannual variability of the blooms could conceivably be used, when correlated to physical parameters, to understand the conditions favorable for the bloom's initiation and growth.
Several investigators have observed coccolithophore blooms in visible satellite imagery (Ackleson and Holligan, 1989; Balch et al., 1991; Brown and Yoder, 1993; Brown and Yoder, 1994a; Brown and Yoder, 1994b; Fukushima, 1991; Holligan and Groom, 1986; Holligan et al., 1983). The spatial and temporal variability of their blooms during 1978 to 1986 has recently been determined on both a regional (Brown and Yoder, 1994b) and global (Brown and Yoder, 1994a) scale. This was accomplished by classifying pixels of Coastal Zone Color Scanner (CZCS) imagery, based on the pixel's normalized water-leaving radiances, into bloom and non-bloom classes using a supervised, multispectral scheme. Much of the variability observed in these two studies, however, could be attributed to the variability of CZCS image coverage.
The greater global coverage of the dedicated ocean color missions of the SeaStar Sea-view Wide Field-of-view Sensor (SeaWiFS) will improve our knowledge of the distribution pattern of coccolithophore blooms, on both an annual and long-term basis.
The classification algorithm used in (Brown and Yoder, 1994a) will be updated and refined to incorporate these new decision boundary values.
The surface area of classified blooms will be calculated from the classified images by multiplying pixel area by the frequency of bloom pixels. Crude estimates of inorganic CaCO3 and DMS produced by the blooms can be calculated from their areal dimensions given assumptions of the depth and the concentration of CaCO3 and DMS in the surface mixed- layer. Alternatively, Gordon et al. (1988) present a model to estimate the concentrations of chlorophyll and detached coccoliths from the normalized water-leaving radiances. Together with values of the backscattering coefficient of coccoliths (Balch et al., 1991) and DMS per cell biomass (Keller et al., 1989), the model can be used to estimate CaCO3 and DMS in blooms. This method, though not yet confirmed by in situ sampling, will also be pursued.
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Berge, G. (1962), Discoloration of the sea due to Coccolithus huxleyi "bloom", Sarsia 6:27-40.
Brown, C. W., and Yoder, J. A. (1993), Coccolithophorid blooms in surface waters of the Nova Scotian Shelf and the Grand Bank, J. Plankton Res.
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Brown, C. W., and Yoder, J. A. (1994b), Distribution pattern of coccolithophorid blooms in the western North Atlantic, Cont. Shelf Res. 14:175-197.
Fukushima, H. (1991), High-reflectance water mass in Off-Sanriku area observed by CZCS, Japan,
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Holligan, P. M., Viollier, M., Harbour, D. S., Camus, P., and Champagne-Philippe, M. (1983), Satellite and ship studies of coccolithophore production along a continental shelf edge, Nature 304:339-342.
Last Revised: October 31, 1997