农业大数据学报2025，Vol.7Issue(3)：400-409,10.DOI:10.19788/j.issn.2096-6369.100056
2023年度深圳红树林植被群落结构数据集
A Dataset of Mangrove Vegetation Community Structure in Shenzhen of 2023
摘要
Abstract
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.关键词
大湾区/深圳/红树林/群落结构Key words
The Greater Bay Area/Shenzhen/Mangrove/Community Structure引用本文复制引用
黄桂松,王海鹏,陈伊梦,林俊川,许旺,肖佑鹏,麦有全,孙文郡,黎栩霞,徐旭,王伟民,王裕东,黄振国..2023年度深圳红树林植被群落结构数据集[J].农业大数据学报,2025,7(3):400-409,10.基金项目
深圳市可持续发展科技专项(KCXST20221021111404011). （KCXST20221021111404011）
