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热带海洋学报

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幼龄红树生物量模型及幼林红树林碳储量研究

胡鑫1, 熊兰兰1, 陈顺洋2, 张黄琛1, 邹易阳1, 张吉超1, 刘东熙1, 何佳潞1, 吴于琪1, 朱振杰1   

  1. 1. 广东省海洋发展规划研究中心, 广东 广州 510220;

    2. 自然资源部第三海洋研究所, 福建 厦门 361005;

  • 收稿日期:2024-07-18 修回日期:2024-08-29 接受日期:2024-09-03
  • 通讯作者: 熊兰兰
  • 基金资助:
    广东省自然资源厅科技项目(GDZRZYKJ2023002)

Study on biomass models of juvenile mangroves and carbon storage of young mangrove ecosystem

HU Xin1, XIONG Lanlan1, CHEN Shunyang2, ZHANG Huangchen1, ZOU Yiyang1, ZHANG Jichao1, LIU Dongxi1, HE Jialu1, WU Yuqi1, ZHU Zhenjie1   

  1. 1. Guangdong Center for Marine Development Research, Guangzhou 510220, China

    2. Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China

  • Received:2024-07-18 Revised:2024-08-29 Accepted:2024-09-03
  • Supported by:
    Science and Technology Projects of the Department of Natural Resources of Guangdong Province(GDZRZYKJ2023002)

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摘要： 随着全球气候变化日益加剧, 红树林作为重要的滨海蓝碳生态系统备受关注。本研究旨在构建幼龄红树生物量模型, 评估广东考洲洋红树林碳储量, 为快速准确评估人工营造幼林红树林碳储量提供经验方法和科学依据。以考洲洋幼龄白骨壤(Avicennia marina)、红海榄(Rhizophora stylosa)、秋茄(Kandelia obovata)、木榄(Bruguiera gymnorhiza)和桐花树(Aegiceras corniculatum)为研究对象, 使用基径(D)和株高(H)及其派生的复合变量构建红树植物生物量与测树因子之间最佳拟合模型, 并进一步评估考洲洋幼林红树林生态系统碳储量。研究发现, 复合变量生物量模型优于单一变量生物量模型(桐花树地下生物量模型除外)。白骨壤、红海榄、木榄和桐花树最优生物量模型均为幂函数模型, 秋茄最优生物量模型为线性模型。考洲洋人工营造幼林红树林碳密度为91.26±17.32Mg C ha-1, 碳储量约为35964.65Mg C, 土壤碳库占考洲洋幼林红树林碳库78.3%⁓98.5%。红树植物碳密度从大到小依次为桐花+秋茄群落、红海榄+白骨壤群落、白骨壤群落、木榄群落。本研究结果对广东乃至全国人工营造红树林碳储量评估和生态修复具有重要参考价值。

关键词: 幼龄红树, 生物量模型, 碳密度, 人工营造红树林, 考洲洋

Abstract: As global climate change intensifies, mangroves, a vital coastal blue carbon ecosystem, have garnered increasing attention. This study aims to develop biomass models for juvenile mangroves and assess the carbon storage of young mangrove ecosystems in Kaozhou Bay. The results offer empirical methods and scientific basis for the rapid and accurate assessment of carbon stocks in artificial young mangroves. The study focuses on five artificial juvenile mangrove species in Kaozhou Bay: Avicennia marina, Rhizophora stylosa, Kandelia obovata, Bruguiera gymnorhiza, and Aegiceras corniculatum. Various factors derived from basal diameter (D) and tree height (H) were used to construct optimal allometric equations between biomass and dendrometric parameters. Additionally, the best biomass models for mangroves were used to evaluate the carbon storage of vegetation and the ecosystem carbon storage of the artificial planted mangroves in Kaozhou Bay. The findings indicate that multivariable models generally outperformed univariable models, with the exception of the belowground biomass model for Aegiceras corniculatum. The optimal biomass models for Avicennia marina, Rhizophora stylosa, Bruguiera gymnorhiza, and Aegiceras corniculatum were power function models, while the optimal models for Kandelia obovata were linear. The carbon density of the artificial young mangrove ecosystems in Kaozhou Bay was found to be 91.26±17.32 Mg C ha-1, with a total carbon stock of approximately 35964.65 Mg C. Soil carbon accounted for 78.3% to 98.5% of the total carbon stock in the artificial young mangrove ecosystems. Among the different mangrove communities, the carbon density of vegetation ranked as follows, from highest to lowest: Aegiceras corniculatum + Kandelia obovata community, Rhizophora stylosa + Avicennia marina community, and Avicennia marina community. These results provide valuable insights for the assessment of carbon storage and ecological restoration in artificial mangroves in Guangdong and even the whole country.

Key words: juvenile mangroves, biomass model, carbon density, artificially planted mangroves, Kaozhou Bay