<abstract xmlns="http://www.w3.org/1999/xhtml">

 Based on the survey records on netz-phytoplankton (>76 μm) collected in the South China Sea (SCS) during the cruise from the 21st August to the 18th October, 2012, the species composition, biodiversity and its spatial distribution were studied. The identified 326 phytoplankton species belonged to 75 genera and 4 phyla. Thalassionema nitzschioides was the most dominant species accounting for 33.24% of the total cell abundance, followed by Bacteriastrum furcatum − 8.69%. Whereas the phytoplankton cell abundance (cells l-1) was the highest in the Zhubi Reef (1106.45 ± 2475.38), the southern SCS (396.84 ± 969.87), the western SCS (90.82 ± 144.66) and the northern SCS (66.48 ± 70.89) in order. The distribution of phytoplankton appears to be affected by the Mekong river discharge and particles derived in Sumatra and Kalimantan from biomass burning, nutrient concentrations, the South China Sea Warm Current (SCSWC). The evaluation of biodiversity indices indicated the high level of species richness, evenness and biodiversity in the survey area.
</abstract>

Based on the survey records on netz-phytoplankton (>76 μm) collected in the South China Sea (SCS) during the cruise from the 21st August to the 18th October, 2012, the species composition, biodiversity and its spatial distribution were studied. The identified 326 phytoplankton species belonged to 75 genera and 4 phyla. Thalassionema nitzschioides was the most dominant species accounting for 33.24% of the total cell abundance, followed by Bacteriastrum furcatum − 8.69%. Whereas the phytoplankton cell abundance (cells l-1) was the highest in the Zhubi Reef (1106.45 ± 2475.38), the southern SCS (396.84 ± 969.87), the western SCS (90.82 ± 144.66) and the northern SCS (66.48 ± 70.89) in order. The distribution of phytoplankton appears to be affected by the Mekong river discharge and particles derived in Sumatra and Kalimantan from biomass burning, nutrient concentrations, the South China Sea Warm Current (SCSWC). The evaluation of biodiversity indices indicated the high level of species richness, evenness and biodiversity in the survey area.

Netz-Phytoplankton Diversity in the western and southern regions of the South China Sea

Tianjin University of Science and Technology

Tianjin Key Laboratory of Marine Resources and Chemistry

Oceanological and Hydrobiological Studies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Based on the survey records on netz-phytoplankton (>76 μm) collected in the South China Sea (SCS) during the cruise from the 21st August to the 18th October,...

Netz-Phytoplankton Diversity in the western and southern regions of the South China Sea

Data publikacji: 09 gru 2015

Zakres stron: 530 - 538

Otrzymano: 16 mar 2015

Przyjęty: 11 maj 2015

DOI: https://doi.org/10.1515/ohs-2015-0050

Słowa kluczowe
phytoplankton, South China Sea, diatoms, biodiversity, remote sensing data

© 2015 Faculty of Oceanography and Geography, University of Gdansk, Poland

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Netz-Phytoplankton Diversity in the western and southern regions of the South China Sea

Data publikacji: 09 gru 2015

Zakres stron: 530 - 538

Otrzymano: 16 mar 2015

Przyjęty: 11 maj 2015

DOI: https://doi.org/10.1515/ohs-2015-0050

Słowa kluczowephytoplankton, South China Sea, diatoms, biodiversity, remote sensing data

© 2015 Faculty of Oceanography and Geography, University of Gdansk, Poland

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
phytoplankton, South China Sea, diatoms, biodiversity, remote sensing data