Spatial variability of soil fertility factors in the Xiangcheng tobacco planting region, China

Abstract

It is essential to understand the spatial variability of soil properties in tobacco planting regions, so that the right decision can be made as to how many fertilizer rates are likely to be appropriated for the high-quality tobacco production. A total of 159 soil samples were taken from the surface soil (0-20 cm) in the Xiangcheng tobacco planting fields, Henan Province, in April 2002 to examine the concentration of soil organic matter, pH, available N, available P, and available K. The spatial variability was evaluated using geostatistics and geographic information system (GIS) analyses. The results show that among those five soil fertility factors, the variation coefficient of soil pH was the smallest, while that of available P was the greatest, which resulted from different cultivation methods and uneven fertilization. Analysis of the isotropic variogram indicated that the soil pH, organic matter, and available P semivariogram were well described with spherical models, with the distance of spatial dependence being 21020, 19150, and 8460 m, respectively, whereas the available N and available K semivariogram were well described with an exponential model, with the distance of spatial dependence being ranged from 7484 to 25320 m. Soil pH value was strongly spatially dependent with C₀/sill being 0.1935, while the other four soil fertility factors were moderately spatially dependent with C₀/sill ranging between 0.3528 to 0.5260. Through the Kriging analysis, the spatial distribution maps of soil properties were drawn using the arcview software. This study provides a scientific basis for field management, which targets soil quality improvement in the Xiangcheng tobacco planting region.

Key words： geostatistics; spatial variability; flue-cured tobacco; soil fertility factor

References

1 Bi R T, Wang B, Duan Y H, Li H, Zhang H Z, Wang J M (2005). Spatial variation of trace elements with landform of farmland-a case study of Yongji city. Soil, 37(3): 290-294 (in Chinese)

2 Burgess T M, Webster R (1980). Optimal interpolation and isarithmic mapping of soil properties I. The semivariogram and punctual Kriging. Journal of Soil Science, 31: 315-341

3 Cambardella C A, Moorman A T, Novak J M, Parkin T B, Karlen D L, Turco R F, Konopka A E (1994). Field-scale heterogeneity of soil properties in central Iowa soils. Soil Science Society of America Journal, 58: 1501-1511

4 Chien Y J, Lee D Y, Guo H Y, Houng K H (1997). Geostatistics analysis of soil properties of mid-west Taiwan soils. Soil Science, 162: 291-298

5 Dercon G, Deckers J, Govern G, Poesen J, Sanchez H, Vanegas R, Ramirez M, Loaiza G (2003). Spatial variability in soil properties on slow-forming terraces in the Andes region of Ecuador. Soil and Tillage Research, 72(1): 31-41

6 Eghball B, Binford G D, Power J F, Baltensperger D D, Anderson F N (1995). Maize temporal yield variability under long-term manure and fertilizer application: fractal analysis. Soil Science Society of America Journal, 59: 1360-1364

7 Eghball B, Power J F (1995). Fractal description of temporal yield variability of ten crops in the United States, 87: 152-156

8 Gan H H, Peng L Y (2005). Spatial variability of nutrients in cultivated soils of Xinhui district, Jiangmen city. Chinese Journal of Applied Ecology, 16(8): 1437-1442 (in Chinese)

9 Gotway C A, Herget G W (1997). Incorporating spatial trends and anisotropy in geostatistical mapping of soil properties. Science Society of America Journal, 61: 298-309

10 Guo, S D, Fu B J, Ma K M (2000). The spatio-temporal variability of soil nutrients in Zunhua plain of Heibei province. Acta Geographica Sinica, 55(5): 555-566 (in Chinese)

11 Institute of Soil Science, Chinese Academy of Sciences. Analysis on soil physical and chemical. 1997. Shanghai: Shanghai Science Press (in Chinese)

12 Jiang L N, Fu J R, Fan H D (2005). Spatial variance characteristics of paddy soil nutrients in Alluvial Plain. Chinese Journal of Rice Science, 19(2): 153-159 (in Chinese)

13 Jiang Y, Zhang Y G, Wen D Z, Liang W J (2003). Spatial heterogeneity of exchangeable iron content in cultivated soils of Shenyang suburbs. Journal of soil and water conservation, 17(1): 119-121 (in Chinese)

14 Liu G S (2003). Tobacco Cultivation. Beijing: China Agriculture Press (in Chinese)

15 Luo L C, Qin B Q, Zhu G W (2004). Sediment distribution pattern mapped from the combination of objective analysis and geostatistics in the large shallow Taihu Lake, China. Journal of Environmental Science, 16: 908-911

16 Ma L C, Sheng J D, Jiang P G, Tang Q F (2004). Spatial variability characteristics of soil available micronutrients in the Karamay region, Xinjiang. Arid Land Geography, 27(2): 202-205 (in Chinese)

17 Mallarino A P (1996). Patterns of spatial variability for phosphorus and potassium in-tilled soils for two sampling scales. Soil Science Society of America Journal, 60: 1473-1481

18 Manuela R, Kaiser E A (1999). Spatial heterogeneity within the plough layer: low and moderate variability of soil properties. Soil Biology and Biochemisty, 31(2): 175-187

19 Mcgraw T (1995). Fertility variability in the Minnesota river valley watershed in 1993, as determined from grid testing result on 52000 acres in commercial fields. Site-Specific Management for Agricultural Systems. ASA-CSSA-SSSA, 167-174

20 Peng L Y, Gan H H, Wu J Y (2005). Spatial variability of soil available silicon, calcium and magnesium in cultivated soil of Xinhui district, Jiangmen city. Journal of Soil and Water Conservation, 19(2): 80-83 (in Chinese)

21 Tao S (1995). Spatial structures of copper, lead and mercury contents in surface soil in the Shenzhen area. Water Air and Soil Pollution, 82: 583-592

22 Tao S, Cao J, Li B G (2001). Distribution pattern of trace elements in soil from Shenzhen area. Acta Pedologica Sinica, 38(2): 248-255 (in Chinese)

23 Wang Z Q (1999). Geostatistics and its application in ecology. Beijing: Science Press, 25-31 (in Chinese)

24 Webster R, Burgess T M (1980). Optimal interpolation and isarithmic mapping of soil properties III. The semivariogram and punctual Kriging. Journal of Soil Science, 31: 505-524

25 White J G, Welch R M, Norvell W A (1997). Soil zZinc map of the USA using geostatistics and geographic information systems. Soil Science Society of America Journal, 61: 185-194

26 Xia X Q, Chen J, Liao Q L, Ji J F, Tian Q G, Wu J Z (2006). Spatial statistics for cadmium, mercury and lead contents in topsoil of Nanjing. Geochimica, 35(1): 95-102 (in Chinese)

27 Xu S P, Tao S, Xu F L, Cao J (2000). Spatial distribution pattern of trace elements contents in the soil in Inner Mongolia. Acta Geographica Sinica, 55(3): 337-345 (in Chinese)

28 Yost R S, Uehara G, Fox R L (1982). Geostatistical analysis of soil chemical properties of large land areas I. Semivariogram. Soil Science Society of America Journal, 46: 1028-1032

29 Zhang C S, Tao S (1994). Autocorrelation of trace element contents in soils of Tianjin plain area. The journal of Chinese geography, 4: 163-170 (in Chinese)

30 Zhang Q L, Shi X Z, Huang B, Yu D S, Wang H J (2005). Characteristics of spatial variability of soil available lead, zinc, copper and cadmiuium in a vegetable base in the suburbs of Nanjing. Soil, 37(1): 41-47 (in Chinese)

31 Zhao X Y, Zuo X A, Zhao H L, Zhang T H, Li Y Q, Yi X Y (2006). Spatial variability of soil moisture after rainfall in different type sands of Horqin Sand. Arid Land Geography, 29(2): 275-281 (in Chinese)