Journal of Agricultural Big Data >
A Dataset of Mangrove Vegetation Community Structure in Shenzhen of 2023
Received date: 2025-02-28
Accepted date: 2025-05-28
Online published: 2025-09-28
Currently, our country is striving to achieve the goal of carbon peaking. “Blue Carbon,” represented by mangrove wetlands, is an indispensable component in the field of carbon sink. In 2020, the Ministry of Natural Resources issued the “Special Action for Mangrove Conservation and Restoration (2020-2025),” and significant progress has been made in recent years. As a marine-centric city, Shenzhen boasts relatively abundant mangrove resources. A comprehensive investigation of the current status of typical coastal mangrove ecosystems and mangrove species is essential. This not only facilitates a better understanding of the species composition and community structure within the region but also allows for the evaluation of the achievements of mangrove conservation plans. Based on the geographical distribution and community structure of the city's mangroves, nine typical mangrove monitoring transects and 24 monitoring plots were selected in the summer of 2023. An area-weighted average method was utilized to determine the per-unit area biomass of the city’s mangrove vegetation, via unmanned aerial vehicles, combined with on-site inspections and fixed plot surveys. The above-ground plant biomass of Shenzhen's coastal mangrove was calculated using the allometric growth equation method, in conjunction with the results of plot surveys to get the determination of the distribution range and area of the mangrove forests along Shenzhen's coastline. Field measurements and recordings of various plant indices were conducted, along with on-site identification of plant species composition, to record community indices of the mangrove forests. Ultimately, the dataset was obtained. This dataset exhibits several characteristics: (1) It contains rich content, including the geographic coordinates of sampling points, biological information, community structure, and community characteristics. (2) It covers a wide geographical range, including all concentrated mangrove locations within the Shenzhen city area. (3) Field surveys and fixed plot sampling methods were employed, resulting in minimal errors. Utilizing this dataset enables the exploration of the governance and distribution status of mangrove wetlands in the Greater Bay Area. Furthermore, it can be integrated with investigations on carbon flux, carbon storage, water quality, and atmospheric conditions, which is of significant importance for ecological environmental monitoring and research.
Data summary:
| Items | Description |
|---|---|
| Dataset name | A Dataset of Mangrove Vegetation Community Structure in Shenzhen of 2023 |
| Specific subject area | Environmental Engineering, Ecology, Agronomy |
| Research topic | Mangrove Community Structure |
| Time range | June 1st-August 31st 2023 |
Geographical scope | The geographical range is 113.819-115.039°E, 22.469-22.773°N, the geographical area covers the areas of Shenzhen and Shanwei (Shenzhen-Shanwei Special Cooperation Zone) of Guangdong Province. |
| Data types and technical formats | .xls |
| Dataset structure | The dataset comprises 1 data file and 4 sheets, detailed as follows: (1) Contains latitude and longitude information for the 9 transects selected for this survey; (2) Contains biological information for the 24 monitoring plots selected for this survey, including distribution density, plant types, etc; (3) Provides information on the main mangrove plant communities for the 9 transects selected for this survey, including average plant height, average crown width, and diameter at breast height; (4) Presents the mangrove plant species list obtained from this survey in Shenzhen City, including 7 orders, 10 families, 13 genera, and 17 species. |
| Volume of dataset | 36.5 KB |
| Key index in dataset | Monitoring point, Species name, Plant height, Crown breadth, Diameter at breast height, Branch diameter |
| Data accessibility | CSTR：31253.11.sciencedb.15120; DOI：10.57760/sciencedb.15120; |
| Financial support | Shenzhen Sustainable Development Technology Special Project(KCXST20221021111404011). |
Key words： The Greater Bay Area; Shenzhen; Mangrove; Community Structure
HUANG GuiSong , XIAO YouPeng , MAI YouQuan , SUN WenJun , LI XuXia , XU Xu , WANG WeiMin , WANG YuDong , HUANG ZhenGuo , WANG HaiPeng , CHEN YiMeng , LIN JunChuan , XU Wang . A Dataset of Mangrove Vegetation Community Structure in Shenzhen of 2023[J]. Journal of Agricultural Big Data, 2025 , 7(3) : 400 -409 . DOI: 10.19788/j.issn.2096-6369.100056
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