• ISSN 1008-505X
  • CN 11-3996/S
曹祥会, 龙怀玉, 周脚根, 邱卫文, 雷秋良, 刘颖, 李军, 穆真. 河北省表层土壤有机碳和全氮空间变异特征性及影响因子分析[J]. 植物营养与肥料学报, 2016, 22(4): 937-948. DOI: 10.11674/zwyf.15135
引用本文: 曹祥会, 龙怀玉, 周脚根, 邱卫文, 雷秋良, 刘颖, 李军, 穆真. 河北省表层土壤有机碳和全氮空间变异特征性及影响因子分析[J]. 植物营养与肥料学报, 2016, 22(4): 937-948. DOI: 10.11674/zwyf.15135
CAO Xiang-hui, LONG Huai-yu, ZHOU Jiao-gen, QIU Wei-wen, LEI Qiu-liang, LIU Ying, LI Jun, MU Zhen. Analysis of spatial variability and influencing factors of topsoil organic carbon and total nitrogen in Hebei Province[J]. Journal of Plant Nutrition and Fertilizers, 2016, 22(4): 937-948. DOI: 10.11674/zwyf.15135
Citation: CAO Xiang-hui, LONG Huai-yu, ZHOU Jiao-gen, QIU Wei-wen, LEI Qiu-liang, LIU Ying, LI Jun, MU Zhen. Analysis of spatial variability and influencing factors of topsoil organic carbon and total nitrogen in Hebei Province[J]. Journal of Plant Nutrition and Fertilizers, 2016, 22(4): 937-948. DOI: 10.11674/zwyf.15135

河北省表层土壤有机碳和全氮空间变异特征性及影响因子分析

Analysis of spatial variability and influencing factors of topsoil organic carbon and total nitrogen in Hebei Province

  • 摘要: 【目的】在陆地生态系统中, 土壤全氮和有机碳是重要的生态因子。本研究基于土壤调查获得大量土壤剖面的空间和属性信息,研究河北的土壤有机碳和全氮的空间分布特征,为河北的土壤养分监测和管理提供科学依据,同时也为其他类似地区土壤采样提供参考,减少采样成本。【方法】运用传统统计学和地统计学分析方法,以变异函数为工具,初步分析了河北土壤全氮和有机碳的空间变异特征,并应用普通克立格法和回归克里格法进行插值, 得出全氮和有机碳含量的分布格局。【结果】研究区土壤有机碳和全氮的平均值分别为15.25 g/kg和1.23 g/kg,变异系数分别为0.73和0.63,属于中等强度变异。经对数转换后,土壤有机碳和全氮均符合正态分布。选择球状模型作为土壤有机碳和全氮的半方差函数理论模型,土壤有机碳和全氮的块金值/基台值的比值分别为1.8%和1.2%,有机碳和全氮的块金系数均小于25%,表明有机碳和全氮具有强烈的空间相关性。有机碳和全氮空间变异的尺度范围不同,分别为50.400 km和59.200 km。研究区的有机碳总体空间分布规律是有机碳在北部较高、南部较低,呈自北向南递减趋势,土壤全氮与有机碳的空间分布趋势相似,但有机碳的空间变异特征较全氮明显,这种空间分布格局主要受环境因子、 土壤质地、 土壤类型以及土地利用类型等的影响,其中环境因子中的气温和海拔对有机碳和全氮的影响较大。通过比较普通克里格和回归克里格的预测结果,回归克里格能较好地反映东南部有机碳和全氮较低地区的局部变异外,对于西北部的山区也能更好地反映碳、 氮与地形及气候等因素的关系。【结论】河北土壤有机碳和全氮的空间变异和分布特征较为类似,受地形地貌、 气候等因素的影响。通过比较普通克里格法和回归克里格法的空间预测结果,回归克里格法可以消除环境因子的影响,从而得到更准确的空间预测结果,因此建议使用回归克里格法进行预测,以期获得一个更为准确的土壤有机碳和全氮的空间预测结果。

     

    Abstract: 【Objectives】 In terrestrial ecosystem, soil total nitrogen and organic carbon are important ecological factors. In this paper, spatial distribution characteristics of soil organic carbon and total nitrogen are studied using spatially surveyed soil profile information. It is expected that the outcomes of this study can provide scientific basis not only for monitoring and managing soil nutrients, but also for cost-effective soil sampling planning in the similar regions. 【Methods】 Both traditional statistic and semi variogram methods are used to study the spatial variability of total nitrogen and organic carbon of the soils. And the distribution patterns of soil total nitrogen and organic carbon are examined using Ordinary Kriging and Regression Kriging.【Results】 The means of soil organic carbon and total nitrogen in the study area are 15.25 g/kg and 1.23 g/kg respectively. And the variance coefficients were 0.73 and 0.63 respectively, which are explained as medium spatial variability. The log transformed soil organic carbon and total nitrogen contents have normal distribution. The theoretical semi-variogram models of soil organic carbon and total nitrogen are all fitted with spherical model well. The nugget and sill ratios of soil organic carbon and total nitrogen are 1.8% and 1.2% respectively. Nugget coefficient of organic carbon and total nitrogen is less than 25%, which indicates that organic carbon and total nitrogen are strongly spatial correlated. Spatial heterogeneity ranges of organic carbon and total nitrogen are different. The range value for soil organic carbon is 50.400 km, while that for total nitrogen is 59.200 km. The overall distribution trend of soil organic carbon in this region is that it is higher in the North than in the South. Although the spatial distribution pattern of the total nitrogen is similar with the soil organic carbon, the spatial variability of organic carbon is significantly higher than that of total nitrogen. The influence of temperature and latitude on spatial variability of the soil organic carbon is more significant than other factors such as soil texture and land use. Based on the predicted values between ordinary kriging and regression kriging, regression kriging not only can reflect the local variation of organic carbon and total nitrogen in the Southeast area, but also can reveal the relationship between carbon, nitrogen, and topographic and climatic factors in the Northwest mountainous area.【Conclusions】 Spatial variability and distribution characteristics of soil organic carbon and total nitrogen are similar, which are related with topography, geomorphology and climate etc. Between regression and ordinary kriging, the regression kriging is more suitable to predict spatial distribution of soil organic carbon and total nitrogen.

     

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