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| Titel |
Relationship between photosynthetic parameters and different proxies of phytoplankton biomass in the subtropical ocean |
| VerfasserIn |
Y. Huot, M. Babin, F. Bruyant, C. Grob, M. S. Twardowski, H. Claustre |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 4, no. 5 ; Nr. 4, no. 5 (2007-10-16), S.853-868 |
| Datensatznummer |
250001966
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| Publikation (Nr.) |
 copernicus.org/bg-4-853-2007.pdf |
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| Zusammenfassung |
| Probably because it is a readily available ocean color product, almost all
models of primary productivity use chlorophyll as their index of
phytoplankton biomass. As other variables become more readily available,
both from remote sensing and in situ autonomous platforms, we should ask if
other indices of biomass might be preferable. Herein, we compare the
accuracy of different proxies of phytoplankton biomass for estimating the
maximum photosynthetic rate (Pmax) and the initial slope of the
production versus irradiance (P vs. E) curve (α). The proxies
compared are: the total chlorophyll a concentration (Tchla, the sum of
chlorophyll a and divinyl chlorophyll), the phytoplankton absorption
coefficient, the phytoplankton photosynthetic absorption coefficient, the
active fluorescence in situ, the particulate scattering coefficient at 650 nm
(bp(650)), and the particulate backscattering
coefficient at 650 nm (bbp(650)). All of the data
(about 170 P vs. E curves) were collected in the South Pacific Ocean. We
find that when only the phytoplanktonic biomass proxies are available, bp(650)
and Tchla are respectively the best estimators of
Pmax and α. When additional variables are available, such as
the depth of sampling, the irradiance at depth, or the temperature, Tchla is
the best estimator of both Pmax and α. |
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