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     Advance Journal of Food Science and Technology


Temporal-spatial Pattern of the Proportion of Grain-crop Sown Area in Henan in China from 1980 to 2012

1Liu Yu, 1Ren Yanmin and 2Liu Qiaoqin
1Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
2School of Public Administration, Shijiazhuang University of Economics, Shijiazhuang 050031, China
Advance Journal of Food Science and Technology  2015  10:693-703
http://dx.doi.org/10.19026/ajfst.8.1591  |  © The Author(s) 2015
Received: September ‎29, ‎2014  |  Accepted: February ‎5, ‎2015  |  Published: July 10, 2015

Abstract

In order to provide a scientific basis for the establishment of grain production policy, the temporal-spatial pattern of the proportion of grain-crop sown area at county level in Henan province is analyzed by the Kernel density method, ESDA method and spatial variogram method, using the softwares-such as GS+, ArcGIS and GeoDa. The following results are drawn based on the 126 county-scale data in 1980, 2004 and 2012. (1) The proportion of grain-crop sown area is decreased from 0.812 to 0.700 and the total disparities of the proportion of grain-crop sown area at county level in Henan province have enlarged. The distribution shapes of the proportion of grain-crop sown area typical “single peak” shape in 3 years, transforming from “spike peak” in 1980 to “broad peak” in 2004 and 2012. (2) The proportion of grain-crop sown area at county level shows a significantly trend of positive spatial correlation and similar areas cluster in space. And, the spatial continuity and constitutive property of the proportion of grain-crop sown area, as well as the mechanism of structural difference caused by spatial autocorrelation become more and more obvious and remarkable.

Keywords:

Henan, kernel density method, proportion of grain-crop sown area, temporal-spatial pattern, variogram,


References

  1. Combardella, C.A., T.B. Moorman, J.M. Novak, T.B. Parkin, D.L. Karlen, R.F. Turco et al., 1994. Field-scale variability of soil properties in central Iowa soils. Soil Sci. Am. J., 58(5): 1501-1511.
    CrossRef    
  2. Guo, T.Y. and G.P. Dong, 2012. Simulation of economic distribution evolution and its driving forces in Beijing-Tianjin-Hebei metropolitan region. Sci. Geograph. Sinica, 32(5): 550-556.
  3. Kim, T. and S. Dall'erba, 2014. Spatio-temporal association of fossil fuel CO2 emissions from crop production across US counties. Agri. Environ. Sci. Ecol., 183: 69-77.
    CrossRef    
  4. Liu, Y.S., J.Y. Wang and L.Y. Guo, 2009. The spatial-temporal changes of grain production and arable land in China. Sci. Agr. Sinica, 42(12): 4269-4274.
  5. Liu, H.B., G.F. Yu, Q.B. Wang and G.F. Yu, 2012. Characteristics of farmers' land use behaviors in metropolises suburb: A case study in Sujiatun district of Shenyang city, Liaoning province. Resour. Sci., 34(5): 879-888.
  6. Long, H.L., 2012. Land use transition and rural transformation development. Prog. Geograph., 31(2): 131-138.
  7. Masoud, A.A., 2014. Groundwater quality assessment of the shallow aquifers west of the Nile Delta (Egypt) using multivariate statistical and geostatistical techniques. J. Afr. Earth Sci., 95: 123-137.
    CrossRef    
  8. Saikia, K. and B.C. Sarkar, 2005. Geostatistical studies of a gold prospect in Sidhi district, Madhya Pradesh. J. Geol. Soc. India, 66(2): 229-241.
  9. Sakschewski, B., W. von Bloh, V. Huber and A. Bondeau, 2014. Feeding 10 billion people under climate change: How large is the production gap of current agricultural systems? Ecol. Model., 288: 103-111.
    CrossRef    
  10. Shi, Q.H. and J.W. Zhuo, 2004. Research on behavior of household grain safety and grain production of farmer. J. Agrotech., 5: 23-32.
  11. Sun, Z.H., Y.H. Wang and Y. Yuan, 2012. Study on urban rank-size hierarchy evolution in Jiangsu Province based on kernel density interpretation. Hum. Geograph., 27(5): 89-93.
  12. Van Ittersum, M.K. and K.G. Cassman, 2013. Yield gap analysis-rationale, methods and applications-introduction to the special issue. Field Crop. Res., 143: 1-3.
    CrossRef    
  13. Verburg, P.H, Y.Q. Chen and T.A. Veldkamp, 2000. Spatial explorations of land use change and grain production in China. Agr. Ecosyst. Environ., 3: 333-354.
    CrossRef    
  14. Wang, F.H., S.G. Jiang and J.H. Teng, 2009. Quantitative methods and applications in GIS [M]. The Commercial Press, Beijing, pp: 211-223.
  15. Wu, L.C., X. Chen and L.J. Gu, 2013. Land protection and food security in the accelerated urbanization progress of China. Issues Agric. Econ., 34(1): 58-62.
  16. Xiong, Y.Y., M.J. Zhang, Y.Y. Liu et al., 2009. Analysis on the shift of provincial gaps of China's grain production and contributing factors. J. Nat. Resour., 24(6): 965-974.
  17. Yang, R.Z., Y.J. Chen, X.Y. Yi and L. Fang, 2012. The causes and countermeasures on the excessive "non-food" tendency in the process of land transfer. Chinese J. Agric. Resour. Regional Plann., 33(3): 14-17.
  18. LI id="Ref18"> Yi, X.Y. and Y.J. Chen, 2010. Analysis on farmers into farmland and "non-food" of planting behavior and scale factors analysis. China Rural Surv., 6: 2-10.

Competing interests

The authors have no competing interests.

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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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