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首页> 外文期刊>Arid Land Research and Management >Soil properties influencing stability of structure of B-horizons of ultisols in semiarid Nsukka, eastern Nigeria
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Soil properties influencing stability of structure of B-horizons of ultisols in semiarid Nsukka, eastern Nigeria

机译:尼日利亚东部半干旱Nsukka的B-水平的终产物B-水平结构的土壤特性

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The argillic B-horizons of some ultisols are dense, often limiting root growths and developing some poor physical properties. Knowledge of the soil properties that influence this poor structural development is needed for better management of the soils. Ten Bt-horizons from different soil profiles were sampled for determination of soil structural properties. The aim was to determine the influence of measurable soil properties and soil aggregate stability indices on the stability of B-horizons. The soils are generally sandy clay loams, acidic and low in basic cations. Principal component analysis (PCA) showed that soil properties that are related to mean-weight diameter (MWD) of the B-horizons are: saturated hydraulic conductivity (Ksat); organic matter content; pH; sand content; bulk density; clay content; water-dispersible clay (WDC); clay dispersion ratio (CDR); silt content; exchangeable Mg2+, K+ and Na+; and CEC. The PCA also revealed that component de. ning variables (CDV) could be extracted from the variables to predict the MWD. The CDV that explained about 89% of the total variation in MWD (R-2 = 0.89; SE = 0.014) were Ksat, sand, WDC, Mg2+, and K+. The prediction model should be applied with caution as limited data were used in developing it. Amelioration of the chemical soil properties by different soil amendment strategies is suggested.
机译:一些ultisols的精制B水平是致密的,通常会限制根的生长并发展出一些不良的物理特性。为了更好地管理土壤,需要了解影响这种不良结构发展的土壤特性。从不同土壤剖面中取样了十个Bt水平仪,以测定土壤的结构特性。目的是确定可测量的土壤特性和土壤团聚体稳定性指数对B素稳定度的影响。土壤通常是沙质壤土,酸性且碱性阳离子含量低。主成分分析(PCA)表明,与B横坐标的平均重量直径(MWD)相关的土壤特性为:饱和水力传导率(Ksat);有机物含量; pH值含砂量堆密度粘土含量;水分散性粘土(WDC);粘土分散率(CDR);淤泥含量;可交换的Mg2 +,K +和Na +;和CEC。 PCA还显示了该组件de。宁变量(CDV)可以从变量中提取出来,以预测MWD。解释MWD总体变化中约89%(R-2 = 0.89; SE = 0.014)的CDV是Ksat,沙子,WDC,Mg2 +和K +。由于在开发预测模型时使用了有限的数据,因此应谨慎使用预测模型。建议通过不同的土壤改良策略改善化学土壤特性。

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