Abstract
The impact of climate change on paddy rice yield is thought to be spatially heterogeneous and local. We analyzed the relationship between climate factors and paddy rice yield over the past 18 years using fine-scale gridded weather data, temperature bin-based degree days, and unobserved effect panel model. A 1-km-resolution PRISM dataset was added to the national map of paddy rice distribution. Extreme weather events and technological changes were also considered afterwards. A model with temporal and spatial autocorrelation correction showed large disparities in rice yield response to temperature conditions over different agroclimatic zones and growth stages. Integration of crop growth models and the expansion of included weather variables could lead to further advancements in this approach to modeling paddy rice yield response.
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