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热带海洋学报

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红树植物拉关木生物量模型及不同潮位碳储量研究

马优1, 韩玉霞2, 宋鸿宇2, 王旭2   

  1. 1. 海南大学, 生态学院, 海南 海口 570228;

    2. 海南大学, 环境科学与工程学院, 海南 海口 570228



  • 收稿日期:2026-01-30 修回日期:2026-03-20 接受日期:2026-03-27
  • 通讯作者: 王旭
  • 基金资助:

    海南省重点研发揭榜挂帅项目(ZDYF2023SHFZ172); 国家重点研发计划(2021YFD220040403)

Study on the biomass model of mangrove plant Laguncularia racemosa and carbon storage in different intertidal zones

MA You1, HAN Yuxia2, SONG Hongyu2, WANG Xu2   

  1. 1. School of Ecology, Hainan University, Haikou, 570228, China;

    2. School of Environmental Science and Engineering, Hainan University, Haikou, 570228, China




  • Received:2026-01-30 Revised:2026-03-20 Accepted:2026-03-27
  • Supported by:

    Hainan Provincial Key Research and Development Project with the "Open Competition Mechanism to Select the Best Candidates" (ZDYF2023SHFZ172); National Key Research and Development Program (2021YFD220040403)

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摘要： 本研究旨在构建红树植物拉关木（Laguncularia racemosa）各器官、地上、地下以及全株的生物量预测模型，为海南岛基于拉关木生物量的碳汇调查和外来引入种监测提供基础数据，并为快速准确估算拉关木碳储量提供方法参考。以海南省东方市黑脸琵鹭省级自然保护区拉关木林及1m深土壤为研究对象，基于胸径（D）和树高（H）及其复合变量（D2、DH、D2H）分别构建了线性与幂函数生物量模型，并比较不同潮带林分的碳密度和碳储量。结果表明，幂函数模型的预测效果普遍优于线性模型，复合变量的拟合效果优于单一变量。其中，以D2为自变量的幂函数模型拟合效果最好，各器官、地上、地下以及全株的生物量模型R2多在0.89以上。基于最优生物量模型估算，研究区拉关木总碳储量为22267.48MgC。其中，植被碳密度为105.83MgC・hm-2，各器官有机碳含量以枝和花果最高（约44.98%），根系最低（38.21%）；土壤碳密度（248.92MgC·hm-²）显著高于植被碳密度，占总碳密度的70.17%。不同潮间带拉关木碳密度依次为：潮上带（455.13MgC・hm-2）＞潮间带（399.98MgC・hm-2）＞潮下带（209.15MgC・hm-2），碳储量主要集中在土壤，且受立地条件影响显著，不同潮带间碳储量差异明显。

关键词: 拉关木, 生物量, 线性模型, 幂函数模型, 有机碳, 碳储量

Abstract: This study aims to develop biomass prediction models for various organs, aboveground, belowground, and total plant biomass of the mangrove species Laguncularia racemosa (L. racemosa), thereby providing foundational data for carbon sink surveys based on L. racemosa biomass and the monitoring of introduced species in Hainan Island. It also offers methodological references for the rapid and accurate estimation of carbon storage in L. racemosa. The research focuses on L. racemosa forests and 1-meter-deep soils within the Black-faced Spoonbill Provincial Nature Reserve in Dongfang City, Hainan Province. Linear and power function biomass models were constructed using breast height diameter (D), tree height (H), and their composite variables (D², DH, D²H), and carbon density and carbon storage were compared across different intertidal zones. The results indicate that power function models generally provide better predictions than the linear models, and composite variables exhibit better fitting accuracy than single variables. Among these, the power function model using D² as the independent variable provides the best fit, with determination coefficients (R²) for organ biomass, aboveground biomass, belowground biomass, and total plant biomass generally exceeding 0.89. Based on the optimal biomass models, the total carbon storage ofL. racemosa in the study area is estimated to be 22,267.48MgC. The vegetation carbon density is 105.83MgC·hm⁻², with the highest organic carbon content observed in branches and flowers/fruits (approximately 44.98%), and the lowest in roots (38.21%). The soil carbon density (248.92MgC·hm⁻²) is significantly higher than the vegetation carbon density, accounting for 70.17% of the total carbon density. Carbon density in different intertidal zones ofL. racemosa forests is as follows: supratidal zone (455.13MgC·hm⁻²) > intertidal zone (399.98MgC·hm⁻²) > subtidal zone (209.15MgC·hm⁻²). Carbon storage is mainly concentrated in the soil layer, with significant variation due to site conditions and there are clear differences in carbon storage across different intertidal zones.

Key words: Laguncularia racemosa, biomass, linear model, power model, organic carbon, carbon storage