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    胡懿凯, 徐耀文, 薛春泉, 等. 广东省无瓣海桑和林地土壤碳储量研究[J]. 华南农业大学学报, 2019, 40(6): 95-103. DOI: 10.7671/j.issn.1001-411X.201810008
    引用本文: 胡懿凯, 徐耀文, 薛春泉, 等. 广东省无瓣海桑和林地土壤碳储量研究[J]. 华南农业大学学报, 2019, 40(6): 95-103. DOI: 10.7671/j.issn.1001-411X.201810008
    shu
    HU Yikai, XU Yaowen, XUE Chunquan, et al. Studies on carbon storages of Sonneratia apetala forest vegetation and soil in Guangdong Province[J]. Journal of South China Agricultural University, 2019, 40(6): 95-103. DOI: 10.7671/j.issn.1001-411X.201810008
    Citation: HU Yikai, XU Yaowen, XUE Chunquan, et al. Studies on carbon storages of Sonneratia apetala forest vegetation and soil in Guangdong Province[J]. Journal of South China Agricultural University, 2019, 40(6): 95-103. DOI: 10.7671/j.issn.1001-411X.201810008
    shu

    广东省无瓣海桑和林地土壤碳储量研究

    Studies on carbon storages of Sonneratia apetala forest vegetation and soil in Guangdong Province

      摘要
    • 摘要:
      目的  探究广东省无瓣海桑Sonneratia apetala和林地土壤的碳储量，为开展广东省红树林生物量为基础的碳汇调查与监测提供基础数据，也为开展全国红树林碳汇监测提供经验和方法。
      方法  以无瓣海桑及林地0~100 cm土壤为研究对象，构建适用于广东省范围内的无瓣海桑生物量模型，对比研究10个地区的无瓣海桑与林地土壤碳储量。
      结果  无瓣海桑生物量模型为W=0.033(D2H)1.002，决定系数为0.952，模型拟合效果较好。广东省无瓣海桑林的总面积为1 724.12 hm2，总碳储量为536 801.09 t，植被碳密度为50.81 t·hm−2，土壤碳密度为260.54 t·hm−2，总碳密度为311.35 t·hm−2，植被碳密度为总碳密度的16.32%，土壤碳密度为总碳密度的83.68%。10个地区无瓣海桑林总碳储量依次为：深圳2 790.65 t<潮州3 088.34 t<惠州10 479.30 t<江门13 800.58 t<茂名17 116.43 t<湛江55 610.15 t<中山58 562.90 t<汕头66 498.62 t<广州134 938.18 t<珠海173 915.93 t。
      结论  广东省无瓣海桑林碳储量主要集中于土壤层，不同地区的立地条件不同，其土壤碳储量及植被碳储量差异明显。

       

      Abstract:
      Objective  To explore the carbon storage of Sonneratia apetala in Guangdong Province, provide basic data for carbon sequestration investigation and monitoring based on mangrove biomass in Guangdong Province, and provide experiences and methods for monitoring mangrove carbon sequestration in China.
      Method  S. apetala vegetation and 0−100 cm soil were taken as research objects to build biomass model that could be universally used in Guangdong Province, and compare carbon storage of vegetation and soil in ten regions.
      Result  The biomass model of S. apetala was W=0.033(D2H)1.002, and the determination coefficient was 0.952. The fitting effect of the model was good. Total area of S. apetala forest in Guangdong Province was 1 724.12 hm2, total carbon storage was 536 801.09 t, vegetation carbon density was 50.81 t·hm−2, soil carbon density was 260.54 t·hm−2 and total carbon density was 311.35 t·hm−2. Vegetation carbon density was 16.32% of total carbon density, and soil carbon density was 83.68% of total carbon density. Total carbon reserves of S. apetala forest in ten regions were performed in the order of Shenzhen 2 790.65 t < Chaozhou 3 088.34 t < Huizhou 10 479.30 t < Jiangmen 13 800.58 t < Maoming 17 116.43 t < Zhanjiang 55 610.15 t < Zhongshan 58 562.90 t < Shantou 66 498.62 t < Guangzhou 134 938.18 t < Zhuhai 173 915.93 t.
      Conclusion  Carbon storage of S. apetala in Guangdong Province is mainly concentrated in soil layer. Soil carbon storage and vegetation carbon storage of S. apetala are obviously different in different regions.

       

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