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Addressing the uncertainties associated in assessing the impacts of climate change on agricultural crop production using model simulations

OAR@ICRISAT

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Relation http://oar.icrisat.org/9454/
http://dx.doi.org/10.14662/ARJASR2016.027
10.14662/ARJASR2016.027
 
Title Addressing the uncertainties associated in assessing the impacts of climate change on agricultural crop production using model simulations
 
Creator Sridhar, G
Wheeler, T
Osborne, T
Turner, A
 
Subject Agriculture
Crop Yield
Agriculture-Farming, Production, Technology, Economics
Climate change
 
Description Projections of current and future (SRES A2) climates from the three GCMs (ECHAM5, GFDL CM 2.1 and HadCM3) in the Couple Model Intercomparison Project (CMIP3) database assessed by IPCC were selected to study the impacts of climate change on paddy rice yields over India. Model projections are important way to study the potential impacts of future projected climate change on crop production. Such assessments are subjected to a range of uncertainties arising from climate and crop models, initial conditions and emissions. On the basis of uncertainties in the impact assessment, this article summarizes the sources of uncertainty and methods focusing on processing the uncertainties. Peculiar to this exercise is to improve the level of confidence in assessment of climate change impacts on crop production. The EPIC crop simulation model regularly failed to simulate viable crop yields in the north-western states of India due to erroneously low precipitation and high temperatures in the baseline climate. Changes in paddy rice yields varied from -49 to 100 % in the future when unprocessed climate scenarios were used. However, bias corrected climate data exhibited changes in paddy rice from -75 to -15% across major paddy growing states in India. In the elevated CO2 simulations paddy rice yields are increasing by 15% to 17.
 
Publisher Academic Research Journals
 
Date 2016-09
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/9454/1/Gummadi%20et%20al.pdf
Sridhar, G and Wheeler, T and Osborne, T and Turner, A (2016) Addressing the uncertainties associated in assessing the impacts of climate change on agricultural crop production using model simulations. Academic Research Journal of Agricultural Science and Research, 4 (5). pp. 206-221. ISSN 2360-7874