罗由林, 李启权, 王昌全, 张新, 张维, 贾荔, 袁大刚, 吴德勇. 四川省仁寿县土壤有机碳空间分布特征及其主控因素[J]. 中国生态农业学报(中英文), 2015, 23(1): 34-42. DOI: 10.13930/j.cnki.cjea.141034
引用本文: 罗由林, 李启权, 王昌全, 张新, 张维, 贾荔, 袁大刚, 吴德勇. 四川省仁寿县土壤有机碳空间分布特征及其主控因素[J]. 中国生态农业学报(中英文), 2015, 23(1): 34-42. DOI: 10.13930/j.cnki.cjea.141034
LUO Youlin, LI Qiquan, WANG Changquan, ZHANG Xin, ZHANG Wei, JIA Li, YUAN Dagang, WU Deyong. Spatial variability of soil organic carbon and related controlling factorsin Renshou County, Sichuan Province[J]. Chinese Journal of Eco-Agriculture, 2015, 23(1): 34-42. DOI: 10.13930/j.cnki.cjea.141034
Citation: LUO Youlin, LI Qiquan, WANG Changquan, ZHANG Xin, ZHANG Wei, JIA Li, YUAN Dagang, WU Deyong. Spatial variability of soil organic carbon and related controlling factorsin Renshou County, Sichuan Province[J]. Chinese Journal of Eco-Agriculture, 2015, 23(1): 34-42. DOI: 10.13930/j.cnki.cjea.141034

四川省仁寿县土壤有机碳空间分布特征及其主控因素

Spatial variability of soil organic carbon and related controlling factorsin Renshou County, Sichuan Province

  • 摘要: 准确地获取区域尺度内土壤有机碳含量信息对土壤碳调控及全球环境变化具有重要意义。本研究基于野外实地采集的555个表层(0~20 cm)土样, 探讨四川省仁寿县土壤有机碳空间分布特征及其主控因素。运用方差分析和回归分析对比了成土母质、土壤类型和土地利用方式对仁寿县土壤有机碳空间分布的影响。结果表明: 研究区表层土壤有机碳含量为3.36~37.10 g·kg-1, 平均13.46 g·kg-1, 变异系数为48.87%, 属中等强度的空间变异性。块金效应C0/(C0+C)为66.7%, 空间分布受结构性因素和随机性因素的共同影响, 总体呈现北高南低的趋势。土地利用方式和土壤类型对土壤有机碳的影响极显著(P<0.01), 而成土母质的影响不明显(P=0.256)。土类能够独立解释23.7%的土壤有机碳空间变异; 亚类和土类的解释能力接近, 分别为27.0%和27.1%, 土壤亚类可作为探讨该区域土壤有机碳空间变化的最小土壤分级单元。土地利用方式能独立解释53.0%的土壤有机碳空间变异, 远大于土壤类型, 是研究区土壤有机碳空间分布的主控因素。

     

    Abstract: Accurately accessing soil organic carbon (SOC) content at regional scale has been very important in regulating soil carbon and global environmental changes. Spatial distribution characteristics of SOC and the main driving factors (such as soil type, land use and parent materials) in Renshou County, Sichuan Province, were analyzed for a total of 555 topsoil (0 20 cm) samples using variance analysis and regression analysis. The results show that SOC content in the study area was in the range of 3.36?37.10 g kg?1, with an average of 13.46 g kg?1. The coefficient of variation was 48.87%, suggesting that SOC in the study area had moderate variability. The nugget-to-sill ratio value was 66.7%, suggesting that SOC had moderate spatial dependence and that spatial variability of SOC was determined by co-effects of structural and random factors. The content of SOC in the northern area was much higher than that in the southern region. Analysis of variance showed that while the effects of land use and soil type on SOC were significant (P < 0.01), parent materials had no obvious effect on SOC content (P = 0.256). Regression analysis showed that soil type was related with soil classification. Soil group, subgroup and soil family explained respectively 23.7%, 27.0% and 27.1% of SOC spatial variability. Land use type independently explained 53.0% of SOC spatial variability, much larger than that of soil type and suggesting that land use was the main qualitative driving factor of SOC availability. Soil subgroup and family similarly explained spatial variability of SOC, suggesting that soil subgroup was applicable at the lowest level of soil classification in studying spatial patterns of SOC in the study area. Also land use type was the key regulating factor of the spatial variability of SOC in hilly areas of Middle Sichuan Basin.

     

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