Phytoplankton of the Peter the Great Bay and its remote sensing problem |
| |
| Authors: | A I Aleksanin V Kim T Yu Orlova I V Stonik O G Shevchenko |
| |
| Institution: | 1.Institute of Automation and Control Processes, Far Eastern Branch,Russian Academy of Sciences,Vladivostok,Russia;2.Zhirmunsky Institute of Marine Biology, Far Eastern Branch,Russian Academy of Sciences,Vladivostok,Russia;3.Far Eastern Federal University,Vladivostok,Russia |
| |
| Abstract: | The problem of recognition of algal genera based on the remote sensing data requires the analysis of the algae biomass’s distribution.
This study provides the analysis of the algae spatial and temporal variations in the Peter the Great Bay. While 116 algal
genera were observed, only a few genera have dominated. Usually, the dominant genus contributed about 60% of the sample’s
biomass (the minimal value is 20% usually) and 4 dominant genera contributed about 90% of the total phytoplankton biomass.
The effective scattering crosssection of the algae in the samples is very changeable and this feature looks promising for
the recognition problem. It was found that the spatial and temporal variations of the algal biomass are significant, but the
percentage characteristics of a few dominant genera are relatively stable with no significant dependence on a region and a
biomass value. The algae’s composition analysis has demonstrated that the same algal genera are propagated in different parts
of the Bay. For a given region and month, the set of algae dominated that constitutes about 90% of the monthly biomass is
rather small (not more than 10 genera usually). Most of the alga genera (∼75%) do not ever reach a mono domination state (more
than 50% of the sample’s biomass). |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
