The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: A satellite view
Open accessAbstract
Phytoplankton plays an important role in the global carbon cycle via the fixation of inorganic carbon during photosynthesis. However, the efficiency of this “biological pump of carbon” strongly depends on the nature of the phytoplankton. Monitoring spatial and temporal variations of the distribution of dominant phytoplankton groups at the global scale is thus of critical importance. Recently, an algorithm has been developed to detect the major dominant phytoplankton groups from anomalies of the marine signal measured by ocean color satellites. This method, called PHYSAT, allows to identify nanoeucaryotes, Prochlorococcus, Synechococcus and diatoms. In this paper, PHYSAT has been improved to detect an additional group, named phaeocystis‐like, by analyzing specific signal anomalies in the Southern Ocean during winter months. This new version of PHYSAT was then used to process daily global SeaWiFS GAC data between 1998 and 2006. The global distribution of major phytoplankton groups is presented in this study as a monthly climatology of the most frequent phytoplankton group. The contribution of nanoeucaryotes‐dominated waters to the global ocean varies from 45 to 70% depending on the season, whereas both diatoms and phaeocystis‐like contributions exhibit a stronger seasonal variability mostly due to the large blooms that occur during winter in the Southern Ocean. Three regions of particular interest are also studied in more details: the Southern Ocean, the North Atlantic, and the Equatorial Pacific. The North Atlantic diatom bloom shows a large interannual variability. Large blooms of both diatoms and phaeocystis‐like are observed during winter in the Southern Ocean, with a larger contribution from diatoms. Their respective geographical distribution is shown to be tightly related to the depth of the mixed‐layer, with diatoms prevailing in stratified waters. Synechococcus and Prochloroccocus prevail in the Equatorial Pacific, but our data show also sporadic diatoms contributions in this region during La Niña. The observed seasonal cycle and interannual variability of phytoplankton groups in the global ocean suggest that the PHYSAT archive is suitable to study the impact of climate variability on the structure of marine ecosystems.
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Cites
Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model
Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., & Totterdell, I. J. (2000) · Nature · doi:10.1038/35041539 · Cited by 4,112
de Boyer Montégut, C., Madec, G., Fischer, A. S., Lazar, A., & Iudicone, D. (2004) · Journal of Geophysical Research: Oceans · doi:10.1029/2004jc002378 · Cited by 3,182
Ocean color chlorophyll algorithms for SeaWiFS
O'Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K. L., Garver, S. A., Kahru, M., & McClain, C. (1998) · Journal of Geophysical Research: Oceans · doi:10.1029/98jc02160 · Cited by 2,465
(2000) · CrossRef Listing of Deleted DOIs · doi:10.1016/s0967-0653(97)89288-5 · Cited by 1,257
Response of ocean ecosystems to climate warming
Sarmiento, J. L., Slater, R., Barber, R., Bopp, L., Doney, S. C., Hirst, A. C., Kleypas, J., Matear, R., Mikolajewicz, U., Monfray, P., et al. (2004) · Global Biogeochemical Cycles · doi:10.1029/2003gb002134 · Cited by 908
Upper ocean ecosystem dynamics and iron cycling in a global three-dimensional model
Moore, J. K., Doney, S. C., & Lindsay, K. (2004) · Global Biogeochemical Cycles · doi:10.1029/2004gb002220 · Cited by 889
Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models
Quéré, C. L., Harrison, S. P., Colin Prentice, I., Buitenhuis, E. T., Aumont, O., Bopp, L., Claustre, H., Cotrim Da Cunha, L., Geider, R., Giraud, X., et al. (2005) · Global Change Biology · doi:10.1111/j.1365-2486.2005.1004.x · Cited by 849
Phytoplankton Community Structure and the Drawdown of Nutrients and CO 2 in the Southern Ocean
Arrigo, K. R., Robinson, D. H., Worthen, D. L., Dunbar, R. B., DiTullio, G. R., VanWoert, M., & Lizotte, M. P. (1999) · Science · doi:10.1126/science.283.5400.365 · Cited by 786
Werdell, P. J., & Bailey, S. W. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.07.001 · Cited by 711
Biological and Chemical Response of the Equatorial Pacific Ocean to the 1997-98 El Niño
Chavez, F. P., Strutton, P. G., Friederich, G. E., Feely, R. A., Feldman, G. C., Foley, D. G., & McPhaden, M. J. (1999) · Science · doi:10.1126/science.286.5447.2126 · Cited by 642
Cited by
Lana, A., Bell, T. G., Simó, R., Vallina, S. M., Ballabrera-Poy, J., Kettle, A. J., Dachs, J., Bopp, L., Saltzman, E. S., Stefels, J., et al. (2011) · Global Biogeochemical Cycles · doi:10.1029/2010gb003850 · Cited by 934
Globally Consistent Quantitative Observations of Planktonic Ecosystems
Lombard, F., Boss, E., Waite, A. M., Vogt, M., Uitz, J., Stemmann, L., Sosik, H. M., Schulz, J., Romagnan, J.-B., Picheral, M., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00196 · Cited by 386
Global carbonate chemistry gradients reveal a negative feedback on ocean alkalinity enhancement
Lehmann, N., & Bach, L. T. (2025) · Nature Geoscience · doi:10.1038/s41561-025-01644-0 · Cited by 18
Metadata
- Authors
- Alvain, S., Moulin, C., Dandonneau, Y., & Loisel, H.
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2008-07-02
- Volume
- 22
- Issue
- 3
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W1649447126
- Cited by
- 362
- References
- 50
- FWCI
- 13.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Alvain, S., Moulin, C., Dandonneau, Y., & Loisel, H. (2008). Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: A satellite view. Global Biogeochemical Cycles. https://doi.org/10.1029/2007gb003154
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