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This study quantifies carbon storage in dominant mangrove communities of the Guangxi Shankou Mangrove National Nature Reserve, highlighting a novel “structure–carbon storage” model that clarifies the role of three structural traits (height, DBH, crown width) in predicting vegetation carbon sequestration. Field data from 2019 and species-specific allometric methods were used to analyze five major mangrove communities. Key results include: (1) clear niche differentiation and vertical stratification among species; (2) large differences in carbon storage, with Bruguiera gymnorhiza storeing the most (151.10 kg C m−2) and Aegiceras corniculatum storeing least (2.48 kg C m−2); (3) a highly accurate predictive model (R2 > 0.85) using DBH as the key variable. The model offers a practical tool for supporting mangrove management and carbon trading.

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Integrating Allometric Equations and Three-Dimensional Structural Data for Accurate Estimation of Mangrove Community Carbon Storage

  • 会议论文

  • 发表日期：

    2026年

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  • Gentao Zhang,
  • Guijuan Jiang,
  • Jie Wei

摘要

This study quantifies carbon storage in dominant mangrove communities of the Guangxi Shankou Mangrove National Nature Reserve, highlighting a novel “structure–carbon storage” model that clarifies the role of three structural traits (height, DBH, crown width) in predicting vegetation carbon sequestration. Field data from 2019 and species-specific allometric methods were used to analyze five major mangrove communities. Key results include: (1) clear niche differentiation and vertical stratification among species; (2) large differences in carbon storage, with Bruguiera gymnorhiza storeing the most (151.10 kg C m−2) and Aegiceras corniculatum storeing least (2.48 kg C m−2); (3) a highly accurate predictive model (R2 > 0.85) using DBH as the key variable. The model offers a practical tool for supporting mangrove management and carbon trading.