Spatial variability of soil nutrients based on geostatistics combined with GIS-A case study in Zunghua City of Hebei Province

Abstract

Abstract: Geostatistics combined with GIS was applied to analyze the spatial variability of soil nutrients in topsoil (0～20cm) in Zunghua City of Hebei Province.GIS can integrate attribute data with geographical data of system variables,which makes the application of geostatisitics technique for large spatial scale more convenient.Soil nutrient data in this study included available N (alkaline hydrolyzing nitrogen),total N,available K,available P and organic matter.The results showed that the semivariograms of soil nutrients were best described by spherical model,except for that of available K,which was best fitted by complex structure of exponential model and linear with sill model.The spatial variability of available K was mainly produced by structural factor,while that of available N,total N,available P and organic matter was primarily caused by random factor.However,their spatial heterogeneity degree was different:the degree of total N and organic matter was higher,and that of available P and available N was lower.The results also indicated that the spatial correlation of the five tested soil nutrients at this large scale was moderately dependent.The ranges of available N and available P were almost same,which were 5 km and 5.5km,respectively.The range of total N was up to 18km, and that of organic matter was 8.5km.For available K,the spatial variability scale primarily expressed exponential model between 0～3.5km,but linear with sill model between 3.5～25.5km.In addition,five soil nutrients exhibited different isotropic ranges.Available N and available P were isotropic through the whole research range (0～28km).The isotropic range of available K was 0～8km,and that of total N and organic matter was 0～10km.

Key words: Geostatistics, Soil nutrients, Spatial variability, GIS, Scale, Isotropic

GUO Xudong, FU Bojie, MA Keming, CHEN Liding. Spatial variability of soil nutrients based on geostatistics combined with GIS-A case study in Zunghua City of Hebei Province[J]. Chinese Journal of Applied Ecology, 2000, (4): 557-563.

References

1. Bai Y-L(白由路),Li B-G(李保国),Shi Y-Ch(石元春). 1999. Research of the soil salt content distribution and management in Huang-Huai-Hai plain based on GIS. Resour Sci(资源科学),21(4):66～70 (in Chinese)
2. Burgess TM and Webster R. 1980. Optimal interpolation and isarithmic mapping of soil properties Ⅰ. The semi-variogram and punctual kriging. J Soil Sci,31: 315～331
3. Burrough PA. 1983. Multiscale sources of spatial variability in soil variation. J Soil Sci,34:577～579
4. Cambardella CA, Moorman TB, Novak JM et al. 1994. Field-scale variability of soil properties in central lowa soils. Soil Sci Soc Am J,58:1501～1511
5. Clark I. 1979. Practical Geostatistics. London:Applied Science Publishers LTD.
6. Goovaerts P and Webster R. 1994. Scale-dependent correlation between topsoil copper and cobalt concentrations in Scotland. Euro J Soil Sci,45:79～95
7. Hong J-R(侯景儒),Huang J-X(黄竟先). 1982. Geostatistics and Its Application in Ore Reserve Estimation. Beijing: Geology Press. (in Chinese)
8. ILWIS 2. 2 for Windows. 1998. Ilwis Development. ITC,The Netherlands.
9. Journal A and Huijbregis Ch. 1978. Mining Geostatistics. London: Academic Press. 11～42
10. Li H-B(李哈滨),Wang Zh-Q(王政权),Wang Q-Ch(王庆成). 1998. Theory and methodology of spatial heterogeneity quantification. Chin J Appl Ecol (应用生态学报),9 (6): 651～657(in Chinese)
11. Matheron G. 1963. Principles of geostatistics. Econ Geol,58:1246～1266
12. Ndiaye Babalar and Isabel Deais. 1999. Geostatistical analysis of hydrogeology and agricultural land reclamation in senegal river delta. J AWRA,35(2): 265～276
13. Rossi Richard E, Mulla DJ, Journel AG et al. 1992. Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecol Monogr,62:277～314
14. Trangmar BB, Yost RS and Uehara G. 1985. Application of geostatistics to spatial studies of soil properties. Adv Agron,38: 44～94
15. Tsegaye T and Robert LH. 1998. Intensive tillage effects on spatial variability of soil physical properties. Soil Sci, 163(2): 143～154
16. Wang Zh-Q(王政权). 1999. Geostatistics and Its Application in Ecology. Beijing: Science Press. 35～96(in Chinese)
17. Webster R. 1985. Quantitative spatial analysis of soil in the field. Adv Soil Sci,3:1～70
18. Xu J-Y(徐吉炎), Wbster R. 1983. Optimal estimation of soil survey data by geostatistical method-semivariogarm and block kriging estimation of topsoil nitrogen of Zhangwu county. Acta Pedol Sin (土壤学报),20(4):419～430(in Chinese)
19. Yi-ju Chien, Dar-Yuan Lee, Horng-Yuh Guo et al. 1997. Geostatistical analysis of soil properties of mid-west Taiwan soils. Soil Sci,162(4): 291～298
20. Yost RS, Uehara G, and Fox RL. 1982. Geostatistical analysis of soil chemical properties of large land areas Ⅰ. Semivariograms. Soil Sci Soc Am J,46: 1028～1032
21. Zhang Zh-Sh(张朝生),Zhang Sh(章申),He J-B(何建邦). 1998. Spatial distribution characteristics of heavy metals in the sediments of Changjiang rivers systemspatial autocorrelation and fractal methods. Acta Geogr Sin(地理学报),53(1):87～95(in Chinese)
22. Zhou G-F(周国法),Xu R-M(徐汝梅). 1998. Biological and Geographical Statistics-Spatio-Temporal Analysis Method and Application in Biological Population. Beijing:Science Press. 12～66(in Chinese)
23. Zhou H-Zh(周慧珍),Gong Z-T(龚子同), Lamp J. 1996. Study on soil spatial variability. Acta Pedol Sin (土壤学报),33(3):232～241(in Chinese)

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