Journal of Agricultural Big Data >
2023 Survey Dataset on the Composition and Species Diversity of Phytoplankton Communities in the Nearshore Waters of Hainan
Received date: 2024-05-07
Accepted date: 2024-09-14
Online published: 2025-09-28
Hainan Province is surrounded by the sea on all sides, and the ecological environment quality of its surrounding waters has become an important factor restricting sustainable social and economic development. This dataset is based on the results of a survey on the composition and species diversity of phytoplankton communities in the surrounding waters of Hainan conducted by the Ministry of Agriculture and Rural Affairs's financial special project "Nanfeng Special Project" Phase III in August 2023. This dataset aims to investigate the composition and species diversity of phytoplankton communities in the surrounding waters of Hainan, in order to evaluate the water quality of the waters. It can provide data support for water quality monitoring and water environment prevention in the surrounding waters of Hainan Province, and has reference value for environmental and biodiversity research in related waters.The survey site for this dataset is selected from four sea areas in Hainan Province, including Lingao Huanglong Port, Dongfang Basuo Port, Wanning Shimei Bay, and Wenchang Xinbu Sea. Water samples were collected using a shallow water type III plankton network, and portable water quality detection instruments were used to measure the temperature, water temperature, pH value, conductivity, salinity, and dissolved oxygen at each survey site. The samples were observed using an optical microscope, CX41, and the water quality was evaluated using data processing and analysis methods such as Shannon Wiener diversity index (H ′), Pielou evenness index (J), dominance index (Y), and richness index (d).This dataset collected a total of 36 microalgae and seawater samples for water quality testing and microscopic observation analysis. The survey results are as follows: A total of 253 species of phytoplankton were identified through microscopic examination of samples collected from four sea areas, including 214 species of diatoms, 24 species of dinoflagellates, and 15 species of blue-green algae. The diatom phylum accounted for 84.48% of the total species, with Shimei Bay being the most abundant in phytoplankton species and Xinbu being the least abundant in marine floating plant species; The diversity indices of the eight ports and Shimei Bay plots are both greater than 3, with Shimei Bay having the highest diversity index and Huanglong Port having a diversity index of less than 1; The evenness index of the four sample bays is less than 1, with the highest being 0.81 in Shimei Bay; After water quality testing, it was found that the COD, ammonia nitrogen, total nitrogen, total phosphorus, and nitrite nitrogen in Shimei Bay were the lowest in all four sea areas. The water quality indicators in Huanglong Port were higher than those in the other three areas, and the density of Microcystis in Huanglong Port accounted for 92.32%, The data set can be used to monitor the phytoplankton population, density and dominant species in the coastal waters around Hainan, and provide data support for relevant departments to prevent natural disasters such as red tide and algal blooms.
Data summary:
| Items | Description |
|---|---|
| Dataset name | 2023 Survey dataset on the composition and species diversity of phytoplankton communities in the nearshore waters of Hainan |
| Specific subject area | Agricultural Science、Ecology |
| Research topic | Composition and species diversity of phytoplankton communities |
| Time range | August,2023 |
| Geographical scope | Surrounding waters of Hainan Province |
| Spatial resolution | Hainan Province; Danzhou City; Dongfang City; Wanning City; Wenchang City |
| Data types and technical formats | .xlsx |
| Dataset structure | Data statistics on phytoplankton in the waters of Dongfang City (2023 Dongfang Sea Area phytoplankton data statistics. xlsx); Statistics on phytoplankton data in the sea area of Lingao City (2023 Lingao Sea Area phytoplankton data statistics. xlsx); Statistics on phytoplankton data in the sea area of Wanning City (2023 Wanning Sea Area phytoplankton data statistics. xlsx); Statistics on phytoplankton data in the sea area of Wenchang City (2023 Wenchang Sea Area phytoplankton data statistics. xlsx); Water quality testing data (2023 water quality data determination. xlsx). |
| Volume of dataset | 375 KB |
| Key index in dataset | The number and density of species of phytoplankton |
| Data accessibility | CSTR:17058.11.sciencedb.agriculture.00005; DOI:10.57760/sciencedb.agriculture.00005; |
| Financial support | National Natural Science Foundation of China (82260669); Hainan Provincial Natural Science Foundation Project (322RC766); Hainan Province Key R&D Plan (ZDYF2022SHFZ314); Ministry of Agriculture and Rural Affairs Financial Special Project (NFZX2021); Chinese Academy of Tropical Agricultural Sciences Public Welfare Project (1630052019012). |
Key words: Hainan province; planktonic plants; diversity; water quality testing
LIU SiHang , FEI XiaoWen , YAN Jia , DENG XiaoDong . 2023 Survey Dataset on the Composition and Species Diversity of Phytoplankton Communities in the Nearshore Waters of Hainan[J]. Journal of Agricultural Big Data, 2025 , 7(3) : 410 -420 . DOI: 10.19788/j.issn.2096-6369.100033
| [1] | HOOD R R, LAWS A E, ARMSTRONG A R, et al. Pelagic functional group modeling: Progress, challenges and prospects. Deep-Sea Research Part II, 2006, 53(5):459-512. |
| [2] | BRUN P, VOGT M, PAYNE R M, et al. Ecological niches of open ocean phytoplankton taxa. Limnology and Oceanography, 2015, 60(3):1020-1038. |
| [3] | 亚力士. 三亚湾近岸海域及其珊瑚生长区重金属污染现状与评价[D]. 广西大学, 2018. |
| PHANMAHA ALEK. Status quo and evaluation of heavy metal pollution in the coastal waters of Sanya Bay and its coral growth area[D]. Guangxi University, 2018. | |
| [4] | 崔振昂, 吴自军, 李亮, 等. 三亚湾海滩泥黑化调查评价. 地质论评, 2020, 66(S1):157-158. |
| CUI Z, WU Z, LI L, et al. Investigation and evaluation on muddy and blacken in Sanya Bay beach. Geological Review, 2020, 66(S1):157-158. | |
| [5] | 赵琳琳, 杜慧慧, 智超, 等. 三亚市海岸带水环境影响因素及承载力评价方法. 山西建筑, 2019, 45(12):147-148. |
| ZHAO L, DU H, ZHI C, et al. Environmental factors and carrying capacity evaluation methods of coastal zone water in Sanya. Shanxi Architecture, 2019, 45(12):147-148. | |
| [6] | 王晓敏, 江涛, 吕淑果, 等. 海南陵水湾与新村湾浮游植物光合色素及群落结构的时空分布特征. 海洋环境科学, 2017, 36(4):488-494. |
| WANG X, JIANG T, LV S, et al. The temporal and spatial distribution of phytoplankton pigments and community in Lingshui bay and Xincun bay, Hainan province. Marine Environmental Science, 2017, 36(4):488-494. | |
| [7] | 韦政全, 林章金, 陈丹丹, 等. 浅谈海南岛周边海域表层沉积物重金属污染现状与评价. 工业微生物, 2023, 53(2):76-79. |
| WEI Z, LIN Z, CHEN D, et al. A brief discussion on the status and evaluation of heavy metal pollution in surface sediments in the waters around Hainan Island. Industrial Microbiology, 2023, 53(2):76-79. | |
| [8] | 赵茜. 三亚湾近岸海域浮游植物群落结构分析及水环境质量评价[D]. 海南热带海洋学院, 2023. |
| ZHAO Q. Analysis of phytoplankton community structure and water environment quality evaluation in the coastal waters of Sanya Bay[D]. Hainan University of Tropical Oceanography, 2023. | |
| [9] | 方素云, 王毅波, 胡晓珂. 渤海浮游植物群落结构的季节变化及其环境影响因子研究. 海洋环境科学, 2023, 42(6):864-875. |
| FANG S, WANG Y, HU X. Seasonal changes of phytoplankton community structure and its environmental impact factors in the Bohai Sea. Marine Environmental Science, 2023, 42(6):864-875. | |
| [10] | Crossetti O L, Bicudo M E C. Phytoplankton as a monitoring tool in a tropical urban shallow reservoir (Gar?as Pond): the assemblage index application. Hydrobiologia, 2008, 610(1):161-173. |
| [11] | 李亚军, 王先明, 程贤松, 等. 海南岛海尾湾浮游植物群落结构及水质的调查. 热带生物学报, 2020, 11(3):257-265. |
| LI Y, WANG X, CHENG X, et al. Investigation of phytoplankton community structure and water quality in Haiwei Bay, Hainan Island. Journal of Tropical Biology, 2020, 11(3):257-265. | |
| [12] | 徐明, 许静波, 唐春燕, 等. 大纵湖浮游植物群落特征及其与环境因子的关系. 水生态学杂志, 2021, 42(6):64-69. |
| XU M, XU J B, TANG C Y, et al. Phytoplankton community characteristics and its relationship with environmental factors in Dazong Lake. Journal of Hydroecology, 2021, 42(6):64-69. |
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