地质统计学
土壤水分
冲积层
空间变异性
土壤科学
冲积土
环境科学
冲积平原
土工试验
总有机碳
土壤碳
土壤测量
犁
土壤pH值
漫滩
阳离子交换容量
水文学(农业)
土层
磷
化学
环境化学
地质学
农学
数学
地理
地貌学
古生物学
有机化学
统计
岩土工程
生物
地图学
作者
S. K. Reza,D.C. Nayak,S. Mukhopadhyay,T. K. Chattopadhyay,Surendra Singh
出处
期刊:Archives of Agronomy and Soil Science
[Informa]
日期:2017-02-28
卷期号:63 (11): 1489-1498
被引量:51
标识
DOI:10.1080/03650340.2017.1296134
摘要
Alluvial soils constitute significant portion of cultivated land in India and it contributes towards food grain production predominantly. The objectives of this study were to assess the spatial variability of soil pH, organic carbon (OC), available (mineralizable) nitrogen (N), available phosphorus (P), available potassium (K) and available zinc (Zn) of alluvial floodplain soils of Kadwa block, Katihar district, Bihar, India. A total of 85 soil samples, representative of the plough layer (0–25 cm depth from surface) were randomly collected from the study area. The values of soil pH, OC, N, P, K and Zn varied from4.4 to 8.4, 0.20% to 1.20%, 141 to 474, 2.2 to 68.2, 107 to 903 kg ha–1 and 0.22 to 1.10 mg kg–1, respectively. The coefficient of variation value was highest for available P (94.3%) and lowest for soil pH (11.3%). Spherical model was found to be the best fit for N, P and Zn contents, while exponential model was the best fit for OC, and Gaussian model was the best-fit model for pH and K. The nugget/sill ratio indicates that except pH and available K all other soil properties were moderately spatially dependent (25–57%). Soil properties exhibited different distribution pattern. It was observed that the use of geostatistical method could accurately generate the spatial variability maps of soil nutrients in alluvial soils.
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