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广东省红树林碳储量与碳汇潜力估算

Carbon Reserve and Carbon Sink Potential Estimation of Mangrove in Guangdong Province

  • 摘要:
      目的  红树林生态系统具有极高的固碳能力,是全球碳循环的重要部分。探索其碳汇潜力可促进减缓和适应气候变化,为我国碳达峰与碳中和提供一种潜在的海洋方案。
      方法  通过研究红树林蓝碳评估的方法学,开展广东省碳储量和碳汇潜力的估算。广东省红树林碳储量约为3 222.035 kt C,其中植被碳储量约为1 094.465 kt C,土壤碳储量约为2 127.57 kt C。不同红树林群落中,桐花林的植被碳储量含量最高,约为1 508.931 kt C,其次依次为白骨壤、秋茄、无瓣海桑,植被碳储量分别约为1 508.931 kt C、859.115 kt C、193.296 kt C和660.693 kt C。
      结果  根据《红树林保护修复专项行动计划(2020-2025年)》,2025年广东省营造红树林55.00 km2,碳汇潜力可增加36.171 kt CO2-e ~99.891kt CO2-e,有较大的碳汇潜力。
      结论  研究可为广东省红树林碳汇造林提供科学依据,对我国碳达峰与碳中和事业具有重要意义。

     

    Abstract:
      Introduction  The mangrove ecosystem has a high carbon sequestration capacity and is an important part of the global carbon cycle. Exploring its carbon sink potential can promote the mitigation and adaptation to climate change, providing a potential marine solution for China's carbon peak and carbon neutralization.
      Method  In this study, the methodology of mangrove blue carbon assessment was studied to estimate the carbon reserve and carbon sink potential in Guangdong Province. The carbon reserve in mangroves in Guangdong Province was about 3 222.035 kt C, of which the carbon reverse in vegetation was about 1 094.465 kt C and the carbon reserve in soil was about 2 127.57 kt C. Among different mangrove communities, the vegetation carbon reserve of Aegiceras corniculatum was the highest, reaching 1 508.931 kt C, followed by Avicennia marina, Kandelia obovata and Sonneratia apetala, with carbon reserve of 1 508.931 kt C, 859.115 kt C, 193.296 kC and 660.693 kt C respectively.
      Result  According to the " Special Action Plan for Mangrove Protection and Restoration (2020-2025)", by 2025, 55.00 km2 of mangroves will be planted in Guangdong Province, and the carbon sink potential can increase by 36.171 kt CO2-e ~99.891 kt CO2-e, with great carbon sink potential.
      Conclusion  This study can provide scientific basis for the afforestation of mangrove carbon sink in Guangdong Province, and is of great significance for China's carbon peak and carbon neutrality cause.

     

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