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    张智勇, 王瑜, 艾宁, 刘广全, 刘长海. 陕北黄土区不同植被类型土壤有机碳分布特征及其影响因素[J]. 北京林业大学学报, 2020, 42(11): 56-63. DOI: 10.12171/j.1000-1522.20200013
    引用本文: 张智勇, 王瑜, 艾宁, 刘广全, 刘长海. 陕北黄土区不同植被类型土壤有机碳分布特征及其影响因素[J]. 北京林业大学学报, 2020, 42(11): 56-63. DOI: 10.12171/j.1000-1522.20200013
    Zhang Zhiyong, Wang Yu, Ai Ning, Liu Guangquan, Liu Changhai. Distribution characteristics of soil organic carbon and its influencing factors in different vegetation types in loess region of northern Shaanxi Province, northwestern China[J]. Journal of Beijing Forestry University, 2020, 42(11): 56-63. DOI: 10.12171/j.1000-1522.20200013
    Citation: Zhang Zhiyong, Wang Yu, Ai Ning, Liu Guangquan, Liu Changhai. Distribution characteristics of soil organic carbon and its influencing factors in different vegetation types in loess region of northern Shaanxi Province, northwestern China[J]. Journal of Beijing Forestry University, 2020, 42(11): 56-63. DOI: 10.12171/j.1000-1522.20200013

    陕北黄土区不同植被类型土壤有机碳分布特征及其影响因素

    Distribution characteristics of soil organic carbon and its influencing factors in different vegetation types in loess region of northern Shaanxi Province, northwestern China

    • 摘要:
        目的  探究陕北黄土区退耕还林(草)后形成的主要植被群落类型土壤有机碳空间分布特征及其影响因素,旨在为今后该地区人工林土壤碳汇管理以及生态效益评估提供参考依据,为我国北方森林土壤碳的相关研究积累基础数据。
        方法  以吴起县大吉沟森林公园内的油松林、沙棘林、草地、油松沙棘混交林为研究对象,选取典型样区,运用单因素方差分析与灰色关联法,探讨不同植被类型在0 ~ 100 cm土壤有机碳垂直变化规律及其主要影响因素。
        结果  (1)研究区土壤有机碳含量及储量具有明显表聚现象,且随土壤深度增加而降低。(2)不同植被类型下,土壤有机碳平均含量表现为沙棘林(7.03 g/kg) > 低坡度油松沙棘混交林(5.34 g/kg) > 草地(5.16 g/kg) > 高坡度油松沙棘混交林(3.87 g/kg) > 油松林(3 g/kg),沙棘林与油松林、高坡度油松沙棘混交林土壤有机碳平均含量呈显著性差异(P < 0.05)。(3)不同植被类型土壤有机碳储量介于41.11 ~ 74.76 t/hm2。(4)不同植被土壤剖面C/N在16.41 ~ 39.11之间,C/N均值由大到小表现为沙棘林(34.68) > 低坡度油松沙棘混交林(25.88) > 草地(25.82) > 油松林(23.08) > 高坡度油松沙棘混交林(22.71)。(5)不同植被类型土壤理化因子与有机碳含量关联度均在中等关联以上,与有机碳含量关系密切。
        结论  研究区在今后建设碳汇林时应充分考虑土壤有机碳影响因素,优先选择沙棘等优势树种。

       

      Abstract:
        Objective  Our project objective is to explore the spatial distribution characteristics of soil organic carbon and its influencing factors of the main vegetation community types formed after returning farmland to forest land (grassland) in the loess region of northern Shaanxi Province, northwestern China and to evaluate soil carbon sink management and ecological benefits of planted forests in the future, in order to provide reference basis and accumulate basic data for related research on forest soil carbon in northern China.
        Method  Taking the Pinus tabuliformis forest, Hippophae rhamnoides forest, grassland and mixed forest of Pinus tabuliformis and Hippophae rhamnoides in Dajigou Forest Park of Wuqi County as the research objects, the typical sample plots were selected, and the single factor analysis of variance and gray correlation method were used to explore the different types of vegetation in 0−100 cm soil organic carbon vertical change and its main influencing factors.
        Result   (1) The soil organic carbon content and storage in the study area had obvious surface aggregation phenomenon, and decreased with increasing soil depth. (2) The average content of soil organic carbon under different vegetation types was shown as Hippophae rhamnoides forest (7.03 g/kg) > low-slope Pinus tabuliformis-Hippophae rhamnoides mixed forest (5.34 g/kg) > grassland (5.16 g/kg) > high-slope Pinus tabuliformis-Hippophae rhamnoides mixed forest (3.87 g/kg) > Pinus tabulacformis forest (3 g/kg). Significant differences in average soil organic carbon content were found between Hippophae rhamnoides forest and Pinus tabuliformis forest, high-slope Pinus tabuliformis-Hippophae rhamnoides mixed forest (P < 0.05). (3) Soil organic carbon reserve of different vegetation types ranged from 41.11 to 74.76 t/ha. (4) The C/N value of soil profiles of different vegetation ranged from 16.41 to 39.11, and the average C/N values varied from big to small as Hippophae rhamnoides forest (34.68) > low-slope Pinus tabuliformis-Hippophae rhamnoides mixed forest (25.88) > grassland (25.82) > Pinus tabuliformis forest (23.08) > High-slope Pinus tabuliformis-Hippophae rhamnoides mixed forest (22.71). (5) The correlations between soil physical and chemical factors and organic carbon content of different vegetation types are all above medium correlation, and closely related to organic carbon content.
        Conclusion  In the future construction of carbon sink forests in the study area, the influencing factors of soil organic carbon should be fully considered, and preferentially select dominant tree species such as Hippophae rhamnoides forest.

       

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