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Regional Grain Yield Response to Climate Change in China: A Statistic Modeling Approach
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Regional Grain Yield Response to Climate Change in China: A Statistic Modeling Approach
Abstract?China is the world?s most populous country with only 7% of the world?s arable land. Accurate assessment of the effect that future climate change may pose on grain production is essential to the sustainability of agriculture. Model variations plus uncertainties in the future climate change scenarios create a big challenge for such evaluation. In this work, we developed the statistical models for six different regions in China, using the historical yield data between 1981 and 2010 from the National Bureau of Statistics combined with meteorological station observations and analyzed the impact of climate variation < Final Year Projects 2016 > on the grain yields into the 2030s.
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| Domains | Datamining |
|---|---|
| Programming Language | Java |
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