Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Southworth, J., Randolph, J.C., Habeck, M., Doering, O.C., Pfeifer, R.A., Rao, D.G., Johnston, J.J.: Consequences of future climate change and changing climate variability on maize yields in the midwestern United States. Agric. Ecosyst. Environ. 82(1–3), 139–158 (2000)
Corbett, J.H.: GIS and environmental modeling: progress research issues. In: Goodchild, M.F., Steyaert, T.L., Parks, O.B. (eds.) pp. 117–122. USA (1996)
Belton, V., Stewart, T.J.: Multiple Criteria Decision Analysis: An Integrated Approach. Kluwer Academic Publishers, Boston (2002)
Barredo, C.J.I.: Systems Information Geographical Evaluation Multi-Criteria laordenacio n deltetritorio. Editorial RA-MA Editorial, Madrid, EsPana (1996)
Mendoza, G.A., Martins, H.: Multi-criteria decision analysis in natural resource management: a critical review of methods and new modelling paradigms. For. Ecol. Manage. 230(1–3), 1–22 (2006)
Jones, P.G., Beebe, S.E., Tohme, J., Galwey, N.W.: The use of geographic information systems in biodiversity exploration and conservation. Biodivers. Conserv. 6, 947–958 (1997)
Mariuki, J.N., De Klerk, H.M., Williams, P.H., Bennun, L.A., Crowe, T.M., Berge, E.V.: Using patterns of distribution and diversity of Kenyan birds to select and prioritize areas for conservation. Biodivers. Conserv. 6, 191–210 (1997)
Janssen, R., Rietved, P.: Geographical Information Systems for Urban and Regional Planning, pp. 129–138. Kluwer press, Dordrecht (1990)
Carver, S.J.: Integrating multi-criteria evaluation with geographical information systems. Int. J. Geogr. Inf. Syst. 5(3), 321–339 (1991)
Malczewski, J.A.: GIS-based approach to multiple criteria group decision-making. Int. J. Geog. Inf. Sci. 10(8), 321–339 (1996)
Eastman, J.R., Jin, w., Kyem, A.K., Toledano, J.: Raster procedures for multi-criteria/multi-objective decisions. Photogram. Eng. Sens. 61(5), 539–547 (1995)
Yeh, W.H., Li, L., Mansuripur, M.: Vector diffraction and polarization effects in an optical disk system. Appl. Opt. 37(29), 6983–6988 (1998)
Pereira, J.M.C., Duckstein, L.: A multiple criteria decision-making approach to GIS-based land suitability evaluation. Int. J. Geog. Inf. Sci. 7(5), 407–424 (1993)
Aguilera, H.N.: Panorama Agriculture Mexicana, pp. 58–69. De geografia, Mexico (1986)
Heywood, I., Oliver, J., Tomlinson, S.: Innovations of GIS, pp. 127–136. Taylor and Francis, UK (1995)
Huang, H.Q.: The Influence of global food shortage on Chinese economy. Contemp. Econ. 7, 6–7 (2008)
Ceballos-silva, A., Lo’pez-blanco, J.: Delineation of suitable areas for crops using a multicriteria evaluation approach and land use/cover mapping: a case study in central Mexico. Agric. Syst. 77(2), 117–136 (2003)
Shi, B.S., Wen, Z.P.: The weighted method for the score that experts give. China Acad. J. Electron. Publishing House (5), 57–58 (1996)
Guo, R., Chen, Y., Wan, F., Li, F., Liu, J., Sun, G.: Delineation of suitable areas for potato in China using a multi-criteria evaluation approach and geographic information system. Sens. Lett. 8(1), 167–172 (2010)
Ceballos-Silva, A., Lopez-Blanco, J.: Delineation of suitable areas for crops using a multi-criteria evaluation approach and land use/cover mapping: a case study in Central Mexico. Agric. Syst. 95, 117–136 (2003)
Li, Y.Z., Dong, X.W., Liu, G.L., Tao, F.: Effects of light and temperature factors on yield and its components in maize. Chin. J. Eco-Agri. 10(2), 86–89 (2002)
Acknowledgments
This work is financial supported by the ISTCP 2010DFA92800 and 2012DFG31450.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Jia, Cj., Wang, Ll., Luo, Xl., Zhou, Wh., Chen, Yx., Sun, Gj. (2014). Evaluation of Suitability Areas for Maize in China Based on GIS and Its Variation Trend on the Future Climate Condition. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-03449-2_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03448-5
Online ISBN: 978-3-319-03449-2
eBook Packages: EngineeringEngineering (R0)