Global Distribution of Coccolithophore Blooms


Christopher W. Brown
NOAA/NESDIS/ORA E/RA3
Washington, DC 20233
Email: chrisb@orbit.nesdis.noaa.gov


Blooms of the coccolithophore Emiliania huxleyi regionally act as an important source of dimethyl sulfide (DMS) and calcium carbonate, and alter the optical properties of the surface mixed layer (Balch et al., 1991; Holligan and Balch, 1991). These blooms, often covering vast areas, can be identified in visible satellite imagery because of the large amount of light backscattered from the water column. Their presence gives the ocean a milky white or turquoise appearance. The ability to detect E. huxleyi blooms in satellite imagery, in addition to furnishing biogeographical knowledge of the species at time and space scales unattainable with shipboard sampling, provides a method to assess their biogeochemical importance on basin to global scales.

Global composites of Coastal Zone Color Scanner (CZCS) imagery (Feldman et al., 1989) were used to map the distribution pattern of E. huxleyi blooms and to estimate the magnitude and periodicity of their CaCO3 and DMS production in the world's oceans (Brown and Yoder, 1994). Pixels of 5-day composite imagery from the entire CZCS mission (November 1978 to June 1986) were classified into either bloom or non-bloom classes based on their mean normalized water-leaving radiances using a supervised, multispectral scheme. This empirically-based classification technique is common in terrestrial remote sensing, but has only recently been applied by oceanographers. A classification algorithm was developed which compared the spectral signature of known E. huxleyi blooms (e.g. (Holligan et al., 1983) to spectral signatures of non-bloom conditions. Spectral signatures of E. huxleyi blooms, "clear" blue water, sediment-laden water, "whiting" (suspended lime muds), and atmospheric haze were extracted from CZCS imagery. Decision boundary values for each of five spectral feature characters were assigned that would allow the blooms to be spectrally distinguished from the other conditions. An independent data set was also used to establish that the algorithm was effective in distinguishing coccolithophore blooms from the other water conditions, with the exception of whitings, at the spatial resolution of the global imagery. The classified images generated from the scheme were then combined into monthly, annual and mission climatologies of bloom and non-bloom locations.

Spectral signatures similar to that of E. huxleyi blooms were found to be most extensive at subpolar latitudes, particularly in surface waters of the North Atlantic, the North Pacific and the Argentine shelf and slope. (Plate 1). Classified blooms covered an average of 1.4 x 106 km2 annually, with the subpolar latitudes accounting for 71% of this area. The classified blooms at these higher latitudes were inferred to represent the presence of E. huxleyi blooms because the classification scheme proved efficient in these regions and their locations are supported by previous biogeographic investigations. Numerous classified blooms, often quite extensive, were also detected at low latitude marginal seas, though the conditions responsible for this signal are equivocal. Seasonally, the classified blooms in subpolar oceanic regions achieved their greatest spatial extent in summer to early autumn, while those in lower latitudes peaked in mid winter to early spring.

Two important caveats of this approach should be noted. First, the results displayed in Plate 1 reflect the distribution pattern of coccolithophore blooms occurring in the surface layer and are biased toward the declining stage (stationary phase) of the bloom. Detection of blooms is sensitive to light backscattered from approximately one attenuation depth and is primarily a function of detached coccolith concentrations. Blooms composed primary of cells or occurring at depths deeper than that sensed by the CZCS would be missed. Second, the distribution pattern of blooms and their spatial extent are biased by both image coverage and regional atmospheric conditions.

The amount of calcite-carbon and DMS-sulfur produced by the classified E. huxleyi blooms was estimated using the mean annual areal extent of the blooms and representative values of mixed layer depth, average cell concentrations found in blooms, DMSP concentration per cell, and mass of calcite per coccolith. The blooms detected at subpolar latitudes (40 - 60) are estimated to produce an average of 0.4 - 1.3 x 106 metric ton CaCO3-C and 10,000 ton DMS-S annually. These standing stock estimates suggest that satellite-detected blooms play only a minor role in the annual production calcite and DMS on a global scale.

Although no satellite ocean color sensor has operated since the demise of the CZCS in June 1986, future missions, such as the Sea-viewing Wide-Field-of-View Sensor (SeaWiFS), will allow E. huxleyi blooms to be monitored once again. These dedicated ocean color missions, in conjunction with techniques to estimate coccolith and cell concentrations in coccolithophore blooms from satellite imagery (Ackleson et al., 1994), will improve our ability to assess the impact of coccolithophore blooms on the carbon and sulfur cycles in the future.

References




Plate 1. Mission climatology of classified coccolithophore blooms in the world's oceans. The maximum spatial extent of blooms detected during this period are displayed. Coccolithophore bloom class = white, non- bloom class = blue, land = green, black = lack of data. (From Brown and Yoder, 1994)

[This page is reproduced with permission from an article in Oceanography 8(2):59-60]

SeaWiFS images are now also being analysed to determine the global distribution of coccolithophore blooms. Click here to see.


Ehux home page