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Impact of climate change and carbon dioxide fertilization effect on irrigation water demand and yield of soybean in Serbia

Published online by Cambridge University Press:  08 April 2015

M. JANCIC ,
B. LALIC ,
D. T. MIHAILOVIC  and
G. JACIMOVIC
M. JANCIC*
Affiliation:
Faculty of Agriculture, University of Novi Sad, Dositej Obradovic Sq 8, 21000 Novi Sad, Serbia
B. LALIC
Affiliation:
Faculty of Agriculture, University of Novi Sad, Dositej Obradovic Sq 8, 21000 Novi Sad, Serbia
D. T. MIHAILOVIC
Affiliation:
Faculty of Agriculture, University of Novi Sad, Dositej Obradovic Sq 8, 21000 Novi Sad, Serbia
G. JACIMOVIC
Affiliation:
Faculty of Agriculture, University of Novi Sad, Dositej Obradovic Sq 8, 21000 Novi Sad, Serbia
*
*To whom all correspondence should be addressed. Email: orhideja007@gmail.com
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Summary

The Decision Support System for Agrotechnology Transfer (DSSAT) v. 4·2 crop model was used to estimate climate change impacts on soybean yield in Serbia in simulations for 2030 and 2050 integration periods using three global climate change models (GCMs): the European Centre Hamburg Model (ECHAM), The Hadley Centre Coupled Model (HadCM) and the National Center for Atmospheric Research Parallel Climate Model (NCAR-PCM) under two scenarios from the IPCC Special Report on Emissions Scenarios (IPCC 2001): A1B SRES and A2 SRES. Input data included weather data from a 1971–2000 baseline period from ten weather stations assimilated from the Republic Hydrometeorological Service of Serbia. Output results from the three GCMs under the two scenarios for 2030 and 2050 were statistically downscaled with the ‘Met & Roll’ weather generator for predicted climate conditions. Mechanical and chemical soil properties were collected in the vicinity of weather stations and analysed by the Agency for Environmental Safety in Belgrade. Genetic coefficients, for the soybean maturity group II variety, were slightly modified using the DSSAT-SOYGRO model ones. The results showed a considerable benefit of carbon dioxide fertilization on soybean yield and yield increases at all locations. The greatest estimated yield increases obtained using outputs the HadCM model for 2030 both scenarios; in 2050, however, the A2 scenario resulted in smaller increase in yield at some locations. The highest increase in yield was in the central and eastern parts of Serbia. Analyses of the climate change impacts on irrigation demand showed a great increase in the irrigation demand amount per growing season. The average irrigation demand reached the highest values in the southern and eastern parts of Serbia. Water productivity reached highest values in eastern and central locations, while the minimum is expected in the most southern and northern location. According to all results it can be concluded that soybean will benefit greatly under climate change conditions and that soybean cropping, currently most concentrated in the Vojvodina region in northern Serbia, expanding in the central part and one location in eastern Serbia.

Type
Climate Change and Agriculture Research Papers
Information
The Journal of Agricultural Science , Volume 153 , Issue 8 , November 2015 , pp. 1365 - 1379
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Copyright
Copyright © Cambridge University Press 2015 

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References

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