Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea
Changes in zooplankton composition, abundance, and some species in response to environmental variation were investigated over four seasons (2020) in Daya Bay. In total, 129 taxa of zooplankton (16 groups of planktonic larvae and 20 indeterminate species) were identified. Zooplankton communities exhi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2023.1110160/full |
| _version_ | 1827992578341994496 |
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| author | Feng-Xia Wu Yang-Guang Gu Qing-Xia Liu Shu-Fei Zhang Yi-Yong Rao Hua-Xue Liu Ming Dai Yan-Guo Wang Hong-Hui Huang |
| author_facet | Feng-Xia Wu Yang-Guang Gu Qing-Xia Liu Shu-Fei Zhang Yi-Yong Rao Hua-Xue Liu Ming Dai Yan-Guo Wang Hong-Hui Huang |
| author_sort | Feng-Xia Wu |
| collection | DOAJ |
| description | Changes in zooplankton composition, abundance, and some species in response to environmental variation were investigated over four seasons (2020) in Daya Bay. In total, 129 taxa of zooplankton (16 groups of planktonic larvae and 20 indeterminate species) were identified. Zooplankton communities exhibited a significant seasonal shift in abundance and taxonomic composition. The maximum number of zooplankton species was recorded in winter (72 species) and the lowest in spring (42 species). However, the abundance was highest in spring (1,372.01 ± 1,071.14 individuals/m³) and lowest in autumn (50.93 ± 34.05 individuals/m³). Pearson correlation analyses demonstrated that the zooplankton abundance and the variations of indicator species were obviously correlated with environmental parameters (e.g., salinity, temperature, pH, and chlorophyll-a). Based on specificity and occupancy analysis, a total of eight species were selected as indicator species. It is noteworthy that some kollaplankton (such as Dolioletta gegenbauri and Doliolum denticulatum) could potentially cause disaster to the nuclear power plant cooling system because of their relatively large body size and huge blooms in spring. In addition, Centropages tenuiremis blooms in spring and Penilia avirostris blooms in summer could attract assemblages of larval or adult pelagic fish, which would also threaten the cooling system security in Daya Bay. In conclusion, our results suggest that zooplankton communities and some species may be considered as favorable indicators of the marine environment. |
| first_indexed | 2024-04-10T04:06:17Z |
| format | Article |
| id | doaj.art-d0ce003ae7ad4d368be1a2be0b51d75f |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-04-10T04:06:17Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-d0ce003ae7ad4d368be1a2be0b51d75f2023-03-13T05:37:34ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452023-03-011010.3389/fmars.2023.11101601110160Research on the seasonal variation of zooplankton community in Daya Bay, South China SeaFeng-Xia Wu0Yang-Guang Gu1Qing-Xia Liu2Shu-Fei Zhang3Yi-Yong Rao4Hua-Xue Liu5Ming Dai6Yan-Guo Wang7Hong-Hui Huang8Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaLaboratory of Marine Biodiversity, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, ChinaGuangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, ChinaChanges in zooplankton composition, abundance, and some species in response to environmental variation were investigated over four seasons (2020) in Daya Bay. In total, 129 taxa of zooplankton (16 groups of planktonic larvae and 20 indeterminate species) were identified. Zooplankton communities exhibited a significant seasonal shift in abundance and taxonomic composition. The maximum number of zooplankton species was recorded in winter (72 species) and the lowest in spring (42 species). However, the abundance was highest in spring (1,372.01 ± 1,071.14 individuals/m³) and lowest in autumn (50.93 ± 34.05 individuals/m³). Pearson correlation analyses demonstrated that the zooplankton abundance and the variations of indicator species were obviously correlated with environmental parameters (e.g., salinity, temperature, pH, and chlorophyll-a). Based on specificity and occupancy analysis, a total of eight species were selected as indicator species. It is noteworthy that some kollaplankton (such as Dolioletta gegenbauri and Doliolum denticulatum) could potentially cause disaster to the nuclear power plant cooling system because of their relatively large body size and huge blooms in spring. In addition, Centropages tenuiremis blooms in spring and Penilia avirostris blooms in summer could attract assemblages of larval or adult pelagic fish, which would also threaten the cooling system security in Daya Bay. In conclusion, our results suggest that zooplankton communities and some species may be considered as favorable indicators of the marine environment.https://www.frontiersin.org/articles/10.3389/fmars.2023.1110160/fullzooplanktonindicator speciesDaya Baynuclear powerdisaster-causing organism |
| spellingShingle | Feng-Xia Wu Yang-Guang Gu Qing-Xia Liu Shu-Fei Zhang Yi-Yong Rao Hua-Xue Liu Ming Dai Yan-Guo Wang Hong-Hui Huang Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea Frontiers in Marine Science zooplankton indicator species Daya Bay nuclear power disaster-causing organism |
| title | Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea |
| title_full | Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea |
| title_fullStr | Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea |
| title_full_unstemmed | Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea |
| title_short | Research on the seasonal variation of zooplankton community in Daya Bay, South China Sea |
| title_sort | research on the seasonal variation of zooplankton community in daya bay south china sea |
| topic | zooplankton indicator species Daya Bay nuclear power disaster-causing organism |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2023.1110160/full |
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