| ZHENG Wei,LI Fen,SHI Honghua,HUO Yuanzi,LI Yan,CHI Yuan,GUO Zhen,WANG Yuanyuan,SHEN Chengcheng,LIU Jian,QIAO Mingyang. 2016. Spatiotemporal heterogeneity of phytoplankton diversity and its relation to water environmental factors in the southern waters of Miaodao Archipelago, China. Acta Oceanologica Sinica, 35(2):46－55 |
| Spatiotemporal heterogeneity of phytoplankton diversity and its relation to water environmental factors in the southern waters of Miaodao Archipelago, China |
| Spatiotemporal heterogeneity of phytoplankton diversity and its relation to water environmental factors in the southern waters of Miaodao Archipelago, China |
| Received:July 20, 2015 Revised:September 21, 2015 |
| DOI：10.1007/s13131-016-0811-3 |
| Key words:Miaodao Archipelago environmental factors spatial distribution phytoplankton statistical analysis |
| 中文关键词: Miaodao Archipelago environmental factors spatial distribution phytoplankton statistical analysis |
| 基金项目:The Special Project of Science and Technology Fundamental Work from the Ministry of Science and Technology of China under contract No. 2012FY112500; the National Natural Science Foundation of China under contract Nos 41206111 and 41206112. |
| Author Name | Affiliation | E-mail | | ZHENG Wei | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | zhengwei@fio.org.cn | | LI Fen | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Research Center of Applied Mathematics, Ocean University of China, Qingdao 266100, China | | | SHI Honghua | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | HUO Yuanzi | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | LI Yan | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | CHI Yuan | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | GUO Zhen | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | WANG Yuanyuan | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
College of Environmental and Municipal Engineering, Qingdao Technology University, Qingdao 266033, China | | | SHEN Chengcheng | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
College of Environment Science and Engineering, Ocean University of China, Qingdao 266100, China | | | LIU Jian | College of Environment Science and Engineering, Ocean University of China, Qingdao 266100, China | | | QIAO Mingyang | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Research Center of Applied Mathematics, Ocean University of China, Qingdao 266100, China | |
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| Abstract: |
| To study the water quality influenced by the anthropogenic activities and its impact on the phytoplankton diversity in the surface waters of Miaodao Archipelago, the spatiotemporal variations in phytoplankton communities and the environmental properties of the surface waters surrounding the Five Southern Islands of Miaodao Archipelago were investigated, based on seasonal field survey conducted from November 2012 to August 2013. During the survey, a total of 109 phytoplankton species from 3 groups were identified in the southern waters of Miaodao Archipelago, of which 77 were diatoms, 29 were dinoflagellates, and 3 were chrysophytes. Species number was higher in winter (73), moderate in autumn (70), but lower in summer (31) and spring (27). The species richness index in autumn (5.92) and winter (4.28) was higher than that in summer (2.83) and spring (1.41). The Shannon-Wiener diversity index was high in autumn (2.82), followed by winter (1.99) and summer (1.92), and low in spring (0.07). The species evenness index in autumn (0.46) and summer (0.39) was higher than that in winter (0.32) and spring (0.02). On the basis of principal component analysis (PCA) and redundancy analysis (RDA), we found that dissolved inorganic nitrogen (DIN) and chemical oxygen demand (COD) in spring, COD in summer, pH in autumn, and salinity and oil pollutant in winter, respectively, showed the strongest association with the distribution of phytoplankton diversity. The spatial heterogeneity of the southern waters of Miaodao Archipelago was quite obvious, and three zones, i.e., northeastern, southwestern and inter-island water area, were identified by cluster analysis (CA) based on key environmental variables. |
| 中文摘要: |
| To study the water quality influenced by the anthropogenic activities and its impact on the phytoplankton diversity in the surface waters of Miaodao Archipelago, the spatiotemporal variations in phytoplankton communities and the environmental properties of the surface waters surrounding the Five Southern Islands of Miaodao Archipelago were investigated, based on seasonal field survey conducted from November 2012 to August 2013. During the survey, a total of 109 phytoplankton species from 3 groups were identified in the southern waters of Miaodao Archipelago, of which 77 were diatoms, 29 were dinoflagellates, and 3 were chrysophytes. Species number was higher in winter (73), moderate in autumn (70), but lower in summer (31) and spring (27). The species richness index in autumn (5.92) and winter (4.28) was higher than that in summer (2.83) and spring (1.41). The Shannon-Wiener diversity index was high in autumn (2.82), followed by winter (1.99) and summer (1.92), and low in spring (0.07). The species evenness index in autumn (0.46) and summer (0.39) was higher than that in winter (0.32) and spring (0.02). On the basis of principal component analysis (PCA) and redundancy analysis (RDA), we found that dissolved inorganic nitrogen (DIN) and chemical oxygen demand (COD) in spring, COD in summer, pH in autumn, and salinity and oil pollutant in winter, respectively, showed the strongest association with the distribution of phytoplankton diversity. The spatial heterogeneity of the southern waters of Miaodao Archipelago was quite obvious, and three zones, i.e., northeastern, southwestern and inter-island water area, were identified by cluster analysis (CA) based on key environmental variables. |
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