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Title: Investigating the impacts of climate change on wheat in China
Author: Li, Sanai
ISNI:       0000 0004 2672 0444
Awarding Body: The University of Reading
Current Institution: University of Reading
Date of Award: 2008
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Climate change and variability are likely to impact crop productivity. Crop models are widely used for investigating the responses of crop growth and development to climate and weather. However, the spatial and temporal scales of climate model outputs are relatively coarse compared with the usual inputs to dynamic crop models. The general large-area model for annual crops (GLAM) has been developed to simulate groundnut productivity at the spatial scale of global and regional climate models. A wheat version of the model was developed in this study by defining wheat specific parameter sets and by modifying some model processes such as phenology, leaf area growth, extreme high temperature stress and assimilation. This study focused on wheat crops in China. Correlations between observed wheat yield, rainfall and temperature were analysed to understand the response of yield variability to climate variability under the current climate. Climate showed a weak correlation with wheat yield in most areas of China where wheat is grown.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available