The overriding and far-reaching aim of our work has been to achieve a good
understanding of the processes of light interaction with phytoplankton in the
sea and to develop an innovative physical model of photosynthesis in the marine
environment,suita ble for the remote sensing of marine primary production. Unlike
previous models,the present one takes greater account of the complexity of
the physiological processes in phytoplankton. We have focused in particular on
photophysiological processes,whic h are governed directly or indirectly by light
energy,or in which light, besides the nutrient content in and the temperature of
seawater,is one of the principal limiting factors.
To achieve this aim we have carried out comprehensive statistical analyses of
the natural variability of the main photophysiological properties of phytoplankton
and their links with the principal abiotic factors in the sea. These analyses have
made use of extensive empirical data gathered in a wide diversity of seas and
oceans by Polish and Russian teams as well as by joint Polish-Russian expeditions.
Data sets available on the Internet have also been applied. As a result,a set of
more or less complex,semi-empir ical models of light-stimulated processes occurring
in marine phytoplankton cells has been developed. The trophic type of sea,
photo-acclimation and the production of photoprotecting carotenoids,c hromatic
acclimation and the production of various forms of chlorophyll-antennas and
photosynthetic carotenoids,cell adaptation by the package effect, light absorption,
photosynthesis, photoinhibition,the fluorescence effect,a nd the activation of PS2
centres are all considered in the models. These take into account not only the
influence of light,but also, indirectly,tha t of the vertical mixing of water; in
the case of photosynthesis,the quantum yield has been also formulated as being
dependent on the nutrient concentrations and the temperature of seawater. The
bio-optical spectral models of irradiance transmittance in case 1 oceanic waters
and case 2 Baltic waters,dev eloped earlier,a lso are described in this paper.
The development of the models presented here is not yet complete and they all
need continual improvement. Nevertheless,w e have used them on a preliminary
basis for calculating various photosynthetic characteristics at different depths
in the sea,su ch as the concentration of chlorophyll and other pigments, and
primary production. The practical algorithm we have constructed allows the
vertical distribution of these characteristics to be determined from three input
data: chlorophyll a concentration,irradiance, and temperature at the sea surface.
Since all three data can be measured remotely,ou r algorithm can be applied
as the ‘marine part’ of the remote sensing algorithms used for detecting marine
photosynthesis.
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