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    于欢, 魏天兴, 陈宇轩, 沙国良, 任康, 辛鹏程, 郭鑫. 黄土丘陵区典型人工林土壤有机碳储量的分布特征[J]. 北京林业大学学报, 2023, 45(12): 100-107. DOI: 10.12171/j.1000-1522.20230097
    引用本文: 于欢, 魏天兴, 陈宇轩, 沙国良, 任康, 辛鹏程, 郭鑫. 黄土丘陵区典型人工林土壤有机碳储量的分布特征[J]. 北京林业大学学报, 2023, 45(12): 100-107. DOI: 10.12171/j.1000-1522.20230097
    Yu Huan, Wei Tianxing, Chen Yuxuan, Sha Guoliang, Ren Kang, Xin Pengcheng, Guo Xin. Distribution characteristics of soil organic carbon stocks in typical plantations in loess hilly region of northwestern China[J]. Journal of Beijing Forestry University, 2023, 45(12): 100-107. DOI: 10.12171/j.1000-1522.20230097
    Citation: Yu Huan, Wei Tianxing, Chen Yuxuan, Sha Guoliang, Ren Kang, Xin Pengcheng, Guo Xin. Distribution characteristics of soil organic carbon stocks in typical plantations in loess hilly region of northwestern China[J]. Journal of Beijing Forestry University, 2023, 45(12): 100-107. DOI: 10.12171/j.1000-1522.20230097

    黄土丘陵区典型人工林土壤有机碳储量的分布特征

    Distribution characteristics of soil organic carbon stocks in typical plantations in loess hilly region of northwestern China

    • 摘要:
      目的 人工林作为重要的碳汇资源库,影响着陆地生态系统的碳循环过程。通过分析黄土丘陵区典型人工林土壤有机碳储量的空间分布特征,为准确评估黄土高原的土壤碳汇能力提供基础数据支撑。
      方法 以黄土丘陵退耕区吴起县为研究区域,典型人工油松林、山杏林、沙棘林为研究对象,天然草地为对照,应用主成分分析和冗余分析法,探究黄土丘陵退耕区典型人工林0 ~ 200 cm土壤有机碳储量的空间分布特征及其影响因素。
      结果 (1)不同人工林土壤表层有机碳储量高于深层土壤,0 ~ 200 cm土壤有机碳储量表现为山杏(97.145 g/m2) > 草地(92.418 g/m2) > 沙棘(68.695 g/m2) > 油松(61.130 g/m2)。沙棘土壤有机碳储量的空间变异程度最大(0.219),草地土壤有机碳储量的空间变异程度最小(0.115);(2)研究区典型人工林土壤有机碳储量与黏粒、粉粒含量呈正相关关系,与砂粒呈负相关关系,全氮、碱解氮对土壤有机碳储量正向效应显著;(3)地形(30.71%)对0 ~ 200 cm土壤剖面上土壤有机碳储量垂直变化的相对贡献最大,其中海拔(19.66%)是影响0 ~ 200 cm土壤有机碳储量垂直分布的主要因子。
      结论 综上,黄土丘陵区典型人工林土壤有机碳储量具有表聚性,土壤机械组成与土壤养分对土壤有机碳储量的影响较为显著。人工山杏林具有较强的土壤碳汇功能,可作为黄土丘陵退耕区生态修复的水土保持树种。

       

      Abstract:
      Objective Plantations are critical carbon pools and play important roles in carbon cycling of terrestrial ecosystems. On the Loess Plateau, analyzing the spatial distributions of soil organic carbon stocks in typical plantations provides basic data support for the accurate assessment of soil carbon sequestration capacity.
      Method In our study, Wuqi County, which is located in the loess hilly region, was selected as the study area. Typical plantations including Pinus tabuliformis, Armeniaca sibirica and Hippophae rhamnoides were taken as the study objects, while natural grassland was taken as the control. Application of principal component analysis and redundancy analysis explored the spatial distribution characteristics of soil organic carbon stocks in the 0−200 cm soil and its influencing factors in a typical plantation in the loess hilly region.
      Result (1) In typical plantations of the loess hilly region, soil organic carbon stocks at soil surface were significantly higher than those in the deeper soil. Across the 0−200 cm soil layers, the total soil organic carbon stocks could be arranged as: Armeniaca sibirica (97.145 g/cm2) > grassland (92.418 g/cm2) > Hippophae rhamnoides (68.695 g/cm2) > Pinus tabuliformis (61.130 g/cm2). The spatial variability of soil organic carbon stocks was greatest in Hippophae rhamnoides (0.219), while the spatial variability of soil organic carbon stocks was least in grasslands (0.115). (2) Soil organic carbon stocks were positively correlated with clay and silt but negatively correlated with sand. Soil total nitrogen and alkali-hydrolyzable nitrogen had significant positive effects on soil organic carbon stocks. (3) Across the 0−200 cm soil profile, the spatial variability of soil organic carbon stocks was primarily affected by topography (30.71%). In particular, elevation (19.66%) was the most important driving factors.
      Conclusion In summary, soil organic carbon mainly accumulates at soil surface of typical plantations in the loess hilly region. Among various influencing factors, soil organic carbon stocks are mainly affected by soil texture, nitrogen, and phosphorus. In comparison to other plantations, Armeniaca sibirica performs better in carbon sequestration. Therefore, vegetation restoration using Armeniaca sibirica is highly recommended in loess hilly region.

       

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