DROPS FOR CROPS: MODELLING CROP WATER PRODUCTIVITY ON A GLOBAL SCALE

There is an emerging need to support water and food policy and decision making at the global and national levels. A systematic tool that is capable of analyzing water-food relationships with high spatial resolutions would be very useful. A GEPIC model has recently been developed by integrating a crop growth model with a Geographic Information System (GIS). The GEPIC model was applied to simulate crop yield and crop water productivity (CWP) for maize at a spatial resolution of 30 arc-minutes on a global scale. A comparison between simulated yields and FAO statistical yields in 124 countries shows a good agreement. The simulated CWP values are mainly in line with the measured values reported in literature. The crop yield and CWP were simulated with the assumption of sufficient water and fertilizer supply, holding other factors unchanged. The simulation results show that many countries have the potentials in achieving high maize yields and CWP. More than 80% of African countries have the potential to double their CWP. This reflects the current poor water and fertilizer management there. The results imply that efforts have to be strengthened to improve water and fertilizer management should the malnutrition be reduced or even eliminated.

[1]  Hong Yang,et al.  Modeling the role of irrigation in winter wheat yield, crop water productivity, and production in China , 2007, Irrigation Science.

[2]  Joe T. Ritchie,et al.  Model for predicting evaporation from a row crop with incomplete cover , 1972 .

[3]  Wim G.M. Bastiaanssen,et al.  Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize , 2004 .

[4]  M. Monsi Uber den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung fur die Stoffproduktion , 1953 .

[5]  George H. Hargreaves,et al.  Reference Crop Evapotranspiration from Temperature , 1985 .

[6]  Petra Döll,et al.  A digital global map of irrigated areas. , 2000 .

[7]  Leslie Shanan,et al.  The context of locally managed irrigation in Israel : policies, planning, and performance , 1995 .

[8]  J. Monteith Climate and the efficiency of crop production in Britain , 1977 .

[9]  Jimmy R. Williams,et al.  GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale , 2007 .

[10]  Guenther Fischer,et al.  Global Agro-ecological Assessment for Agriculture in the 21st Century , 2002 .

[11]  Navin Ramankutty,et al.  Geographic distribution of major crops across the world , 2004 .

[12]  W. Rawls,et al.  Estimating generalized soil-water characteristics from texture , 1986 .

[13]  Isric FAO - Unesco Soil map of the world : revised legend with corrections and updates , 1997 .

[14]  Ramaswamy Sakthivadivel,et al.  A water-productivity framework for understanding and action , 2003 .

[15]  John R. Williams,et al.  The EPIC crop growth model , 1989 .