Utility of semivariogram for spatial variation of soil nutrients and the robust analysis of semivariogram
The spatial variation of soil nutrients in topsoil (0-20 m) was analyzed using semivariogram in the Zunhua County of Hebei Province, China. The effect on semivariogram with randomly delet ed data and kriged estimates using various reduced sample sizes wasalso analyzed. The semivariograms of available N, total N, available P, organic matter were best described by a spherial model, except for available K, which best fitted a complex structure of exponential model and linear with sill model. The ratio of nugget to total sample variance ranged from 34.4% to 68.4%, indicating the spatial correlation of tested soil nutrients on a large scale was moderately dependent. Among five soil nutrients, available nitrogen and available phosphorus had the shortest spatial correlation range (5 km and 5.5 km), available K had the longest range (25.5 km), whereas total nitrogen and organic tter had intermediate spatial correlation range (14.5 km and 8.5 km). The semivariograms of available N, total N, available P, and organic matter were insensitive to a 50%-60% reduction in originalsampling density, while for available K, it is up to 70%. The estimated spatial distributions of total N by kriging, under various reduced sample sizes, all correlated significantly (p= 0.001) with those obtained from original data. The results showed that the semivariogram was a relatively robust tool when used in a large region and sufficient spatial variation information could be retained regardless of a higher deletion proportion of the original data. The original sample data could be reduced by kriging and the estimates showed no loss of spatial information, however, the results may be unreliable unless a clearly identified semivariogram model could be obtained. The results may provide useful information for determining the appropriate sampling densities for these scales of soil survey.
作 者： GUO Xu-dong FU Bo-jie MA Ke-ming CHEN Li-ding 作者单位： Department of Systems Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 刊 名： 环境科学学报(英文版) ISTIC SCI 英文刊名： JOURNAL OF ENVIRONMENTAL SCIENCES 年，卷(期)： 2001 13(4) 分类号： X11 X14 关键词：