Spatial pattern of ichthyoplankton assemblage in the coastal waters of central and southern Yellow Sea in the spring

Xiao Huanhuan; Zhang Chongliang; Xu Binduo; Xue Ying; Liu Hong; Li Zengguang; Ren Yiping

doi:10.3969/j.issn.0253-4193.2017.08.004

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Xiao Huanhuan, Zhang Chongliang, Xu Binduo, Xue Ying, Liu Hong, Li Zengguang, Ren Yiping. Spatial pattern of ichthyoplankton assemblage in the coastal waters of central and southern Yellow Sea in the spring[J]. Haiyang Xuebao, 2017, 39(8): 34-47. doi: 10.3969/j.issn.0253-4193.2017.08.004

Citation:

Xiao Huanhuan, Zhang Chongliang, Xu Binduo, Xue Ying, Liu Hong, Li Zengguang, Ren Yiping. Spatial pattern of ichthyoplankton assemblage in the coastal waters of central and southern Yellow Sea in the spring[J]. Haiyang Xuebao, 2017, 39(8): 34-47. doi: 10.3969/j.issn.0253-4193.2017.08.004

Citation:

Xiao Huanhuan, Zhang Chongliang, Xu Binduo, Xue Ying, Liu Hong, Li Zengguang, Ren Yiping. Spatial pattern of ichthyoplankton assemblage in the coastal waters of central and southern Yellow Sea in the spring[J]. Haiyang Xuebao, 2017, 39(8): 34-47. doi: 10.3969/j.issn.0253-4193.2017.08.004

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Spatial pattern of ichthyoplankton assemblage in the coastal waters of central and southern Yellow Sea in the spring

doi: 10.3969/j.issn.0253-4193.2017.08.004

1.
College of Fisheries, Ocean University of China, Qingdao 266003, China
2.
Xinjiang Fisheries Research Institute, Urumqi 830000, China
3.
College of Fisheries, Ocean University of China, Qingdao 266003, China;Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China

Received Date: 2017-03-28
Rev Recd Date: 2017-05-17

Abstract

Abstract

The species composition and spatial pattern of the ichthyoplankton community and its relationship with environmental factors were analyzed using ecological diversity indices and multivariate statistical analysis. Based on the data collected from the ichthyoplankton survey, which was conducted by horizontal tows using plankton nets in the coastal waters of central and southern Yellow Sea in the spring of 2015. In total, 35 species were identified for the ichthyoplankton. Among them,there were 21 fish eggs and 23 larvae and juveniles. They belonged to 8 orders, 18 families, and 34 genera. The ichthyoplankton were dominated by species Engraulis japonicas, Platycephalus indicus, Callionymus spp. and Larimichthys polyactis. The main ecological groups were the brackish water group, coastal group and offshore type. Cluster analysis showed that the ichthyoplankton community can be divided into three station groups, including group A (mainly distributed in the Haizhou Bay) which was dominated by species of Engraulis japonicas and Callionymus spp., group B (mainly in the coastal waters of Jiangsu Province) which was dominated by species of Pseudosciaena polyactis, Setipinna taty and Collichthys lucidus, group C (mainly in the coastal and offshore waters of Jiangsu Province), which was dominated by Platycephalus indicus. Among them, Engraulis japonicas and Callionymus spp. were mainly distributed in the Haizhou Bay fishing ground. The main distribution area of Platycephalus indicus was located in Lvsi fishing ground, and Pseudosciaena polyactis was in the northern Lvsi fishing ground. The species diversity index and evenness index of group B was the highest among the three station groups. The ecotypes and thermophily of parent fishes were different in three station groups and were closely related to their habitats. The canonical correspondence analysis (CCA) suggested that the main environmental factors affecting the spatial patterns of ichthyoplankton community in the spring were depth, salinity,sea surface temperature in the coastal waters of central and southern Yellow Sea. Meanwhile, it was also affected comprehensively by many factors such as ocean currents and bottom sediment types. The results revealed the spatial pattern of ichthyoplankton communities in the central and southern Yellow Sea, providing scientific basis and technical support for conservation measures such as scientific development of aquatic germplasm resources protection area and the scientific management of fishery resources in the waters.
- ecotype,
- dominant species,
- multivariate statistical analysis,
- canonical correspondence analysis (CCA),
- community structure

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References(59)

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