Evaluation of Suitability Areas for Maize in China Based on GIS and Its Variation Trend on the Future Climate Condition

  • Chao-jie Jia
  • Le-le Wang
  • Xiao-li Luo
  • Wei-hong Zhou
  • Ya-xiong Chen
  • Guo-jun Sun
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 254)


Climate change is one of the most significant factors for the migration of the suitable planted areas of maize. The hyper-resolution data of daily mean precipitation, temperature, soil, and topography that supported by Institute of Soil Science and National Climate Center were collected to assess the effect of climate change on migration of the suitable planted maize areas, and it provides a foundation for macro-management decisions of agriculture. Climate data mentioned above was simulated by regional climate model, which showed the experiments of the twentieth century and the forecast tests of twenty-first century. Based on the factors above, relevant criteria, suitability levels, and their weights for each factor were defined. And the database of climate and soil was established. In this article, we use the multi-criteria evaluation (MCE) approach based on GIS to identify the suitable planting areas for maize in China. The results demonstrated that the most suitable degrees of active accumulated temperature, maximum and minimum temperature in growth period moving north dramatically, and the precipitation moving slightly in the future, which will lead to the planting areas of maize moving northward, and the areas were increased by 4.61 × 105 km2.


Maize Geographic information system (GIS) Climate change Multi-criteria evaluation Kriging interpolation Analytical hierarchy process 



This work is financial supported by the ISTCP 2010DFA92800 and 2012DFG31450.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chao-jie Jia
    • 1
  • Le-le Wang
    • 1
  • Xiao-li Luo
    • 1
  • Wei-hong Zhou
    • 1
  • Ya-xiong Chen
    • 1
  • Guo-jun Sun
    • 1
  1. 1.Institute of Arid Agroecology, School of Life SciencesLanzhou UniversityLanzhouChina

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