黄金华, 叶代全, 张志才, 何祯祥, 成向荣. 光皮树幼林坡地土壤养分空间异质性和分布格局研究[J]. 西南林业大学学报, 2016, 36(4): 30-35. DOI: 10.11929/j.issn.2095-1914.2016.04.005
引用本文: 黄金华, 叶代全, 张志才, 何祯祥, 成向荣. 光皮树幼林坡地土壤养分空间异质性和分布格局研究[J]. 西南林业大学学报, 2016, 36(4): 30-35. DOI: 10.11929/j.issn.2095-1914.2016.04.005
Huang Jinhua1, Ye Daiquan1, Zhang Zhicai1, He Zhenxiang2, Cheng Xiangrong3. Spatial Heterogeneity and Distribution Patterns of Soil Nutrients in Sloping Field of Swida wilsoniana Young Plantation[J]. Journal of Southwest Forestry University, 2016, 36(4): 30-35. DOI: 10.11929/j.issn.2095-1914.2016.04.005
Citation: Huang Jinhua1, Ye Daiquan1, Zhang Zhicai1, He Zhenxiang2, Cheng Xiangrong3. Spatial Heterogeneity and Distribution Patterns of Soil Nutrients in Sloping Field of Swida wilsoniana Young Plantation[J]. Journal of Southwest Forestry University, 2016, 36(4): 30-35. DOI: 10.11929/j.issn.2095-1914.2016.04.005

光皮树幼林坡地土壤养分空间异质性和分布格局研究

Spatial Heterogeneity and Distribution Patterns of Soil Nutrients in Sloping Field of Swida wilsoniana Young Plantation

  • 摘要: 采用地统计学的方法研究闽北光皮树幼林坡地土壤养分 (0~20cm) 的空间异质性和分布格局。结果表明:光皮树幼林坡地土壤有机质、易氧化有机碳、水解氮、有效磷和速效钾均有较好的空间自相关性,其自相关函数均为由正相关向负相关方向发展,拐点为35~66m;不同土壤养分的空间变异特征差异较大,易氧化有机碳的最佳拟合模型为指数模型,其余指标的最佳拟合模型均为高斯模型;除土壤有机质块金值/基台值的比值大于25%,呈现中等程度空间变异外,其余4个速效养分指标的块金值/基台值比值均小于25%,具有强烈的空间自相关,其空间变异主要由结构性变异引起,随机因素的影响较小;SOM、ROC和AP空间分布的连续性相对较好,其次为AN,AK的空间连续性较差,破碎化程度高,在小尺度上形成强烈的变异;坡面尺度土壤养分的空间异质性,不仅与坡位、微地形等环境因素有关,研究区采伐残余物输入的空间不均一性和炼山也可能对养分的空间变异有重要影响。

     

    Abstract: Spatial heterogeneity and distribution patterns of soil nutrients (0-20cm)in sloping field were studied by geostatistical method in a Swida wilsoniana young plantation in northern Fujian Province. The results showed that soil organic matter, readily oxidized organic carbon, hydrolyzed nitrogen, available phosphorus and available potassium in sloping field have a good spatial autocorrelation, the autocorrelation functions performed the same pattern of developing from positive to negative direction with inflection point from 35m to 66m. Spatial variability of different soil nutrients was great. The bestfitting model for readily oxidized organic carbon is exponential model, and gaussian model is optimal model for the other soil nutrients. The ratio of nugget/sill for soil organic matter was higher than 25%, showing a moderate spatial variability. The other 4 ratios of nugget/sill for the soil available nutrients were lower than 25%, and they had spatial autocorrelation of intensity, spatial variability of these soil available nutrients mainly caused by structural variation and less affected by random factors. The spatial distribution of SOM, ROC and AP had a relatively good continuity, followed by AN and AK had a poor spatial continuity with higher degree of fragmentation, a strong variation was formed on the small scale. In this study, spatial variability of soil nutrients in slope field was mainly related to slope position, microtopography and other environmental factors, additionally, the input of uneven logging residue and prescribed burning may also have a significant impact on spatial variability of soil nutrients.

     

/

返回文章
返回