Journal of Resources and Ecology ›› 2014, Vol. 5 ›› Issue (4): 348-355.doi: 10.5814/j.issn.1674-764x.2014.04.010

• GIAHS • Previous Articles     Next Articles

Spatial Variability Analysis of Soil Nutrients Based on GIS and Geostatistics: A Case Study of Yisa Township, Yunnan, China

LI Jing1,2, MIN Qingwen1, LI Wenhua1, BAI Yanying1, Dhruba Bijaya G. C.1,2, YUAN Zheng1,2   

  1. 1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2 University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2014-10-22 Revised:2014-11-20 Online:2014-12-18 Published:2014-12-19
  • Contact: MIN Qingwen E-mail:minqw@igsnrr.ac.cn
  • Supported by:

    National Natural Science Fund of China (31200376).

Abstract: Hani rice terraces system is one of the Globally Important Agricultural Heritage Systems (GIAHS) pilot sites selected by FAO. Soil nutrients are an important symbol of soil fertility, and play an important role in the sustainable utilization of land. Based on geo-statistics and GIS, the spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen, available phosphorus and available potassium in the soil in Yisa (a town in Honghe County, Yunnan Province) was studied. The results show that the spatial variability of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium exhibited medium spatial variability, and the coefficients of variation are 12.54%, 40.14%, 40.00%, 34.89%, and 40.00% respectively. Available phosphorus exhibited strong spatial variability, and the coefficient of variation is 102.13%. The spatial variation of pH, organic matter, total nitrogen, alkaline hydrolyzable nitrogen and available potassium fit the index mode, however, the spatial variation of available phosphorus fits the spherical model. Total nitrogen, available phosphorus and available potassium were greatly affected by soil structural factors, while pH, organic matter and alkaline hydrolyzable nitrogen were affected by both structural and random factors. The spatial distribution of soil nutrients in Yisa was intuitively characterized by Kriging interpolation. It is very important to understand the spatial distribution of soil nutrients, which will provide the guidance for adjusting agricultural management measures such as fertilization.

Key words: spatial analysis, geo-statistics, soil nutrients, Kriging, Hani rice terraces system, GIAHS