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热带海洋学报

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流沙湾典型海岸带蓝碳生态系统的土壤有机碳稳定性和来源特征

周炎武1, 牛琳婧1, 2, 廖辉煌1, 王友绍1, 程皓1*   

  1. 1. 热带海洋环境与岛礁生态全国重点实验室(中国科学院南海海洋研究所), 广东 广州 510301；

    2. 山东大学海洋学院，山东 威海 264209



  • 收稿日期:2025-10-11 修回日期:2025-12-18 接受日期:2026-03-23
  • 通讯作者: 程皓
  • 基金资助:

    自然资源部省部合作项目(2024ZRBSHZ103); 海南省揭榜挂帅重点研发计划(ZDYF2023SHFZ172); 国家重点研发计划(2022-36); 南沙区高端领军人才创新团项目(红树林湿地蓝碳增汇技术创新团队

Stability and source characteristics of soil organic carbon in typical coastal blue carbon ecosystems at Liusha Bay

ZHOU Yanwu1, NIU Linjing1, 2, LIAO Huihuang1, WANG Youshao1, CHENG Hao1*   

  1. 1. State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China;

    2. Marine College, Shandong University, Weihai 264209, China



  • Received:2025-10-11 Revised:2025-12-18 Accepted:2026-03-23
  • Supported by:

    Ministry of Natural Resources Provincial-Ministerial Cooperation Project(2024ZRBSHZ103); Hainan Province Science and Technology Special Fund (ZDYF2023SHFZ172); National Key Research and Development Plan(2022-36); Nansha District High-Level Talents(Innovation Team of Mangrove Wetland for Blue Carbon Enhancement Technology)

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摘要： 蓝碳生态系统具有高效的固碳储碳功能, 但其土壤有机碳组成与来源特征仍不明晰。为此, 本研究以雷州半岛流沙湾为研究对象，沿光滩、海草床和红树林梯度，对比了不同区域土壤有机碳组成和稳定性, 并结合碳稳定同位素与贝叶斯混合模型, 量化了其有机碳来源。结果表明: 沿光滩→海草床→红树林梯度, 土壤碳密度与有机碳含量均逐步增加, 而活性碳组分(包括易氧化有机碳、溶解有机碳及微生物生物量碳)占比呈下降趋势。贝叶斯混合模型结果进一步表明, 光滩土壤有机碳以海洋来源有机碳为主, 海草床的以海洋与海草来源有机碳为主, 红树林的则以自身来源有机碳为主。另一方面, 红树植物衍生有机碳主要富集于红树林区域: 海草植物衍生有机碳主要沉积于海草床与红树林区域。本研究揭示了典型蓝碳生态系统(特别是红树林)在碳储存方面的优势, 并强调了生态系统连通性对蓝碳积累的重要性, 为蓝碳管理提供了科学依据。

关键词: 流沙湾, 蓝碳, 红树林, 海草, 有机碳稳定性, 有机碳来源

Abstract: Blue carbon ecosystems (BCEs) possess efficient carbon sequestration and storage capabilities, yet the characteristics of soil organic carbon (SOC) composition and sources in BCEs remain unclear. Therefore, this study selected seagrass meadow, mangroves, and adjacent bare mudflat along the coast of Liusha Bay, Leizhou Peninsula to compare the differences in SOC composition and stability across various BCEs. The characteristics of carbon sources were also identified by 13C and Bayesian mixing models. Results showed that along the gradient from bare mudflat to seagrass meadow and mangroves, both soil carbon density and SOC content increased, while the proportion of labile carbon fractions (including easily oxidizes organic carbon, dissolved organic carbon, and microbial biomass carbon) exhibited a decreasing trend. The Bayesian mixing models further revealed that SOC in bare mudflat was primarily derived from marine sources, SOC in seagrass meadow was mainly composed of both marine- and seagrass-derived organic carbon, while SOC in mangroves was dominated by autochthonous organic carbon. In addition, mangrove-derived organic carbon was predominantly enriched in mangrove areas, seagrass-derived organic carbon was mainly deposited in both seagrass meadow and mangrove areas. This study highlights the advantages of typical BCEs (particularly mangroves) in carbon storage and emphasizes the importance of ecosystem connectivity for blue carbon accumulation, providing a scientific basis for blue carbon management in BCEs.

Key words: Liusha Bay, blue carbon, mangrove, seagrass bed, SOC stability, SOC source