Department of Applied Plant Science, Chonnam National University, Gwangju, Korea.
Glob Chang Biol. 2013 Feb;19(2):548-62. doi: 10.1111/gcb.12047. Epub 2012 Nov 6.
The crop simulation model is a suitable tool for evaluating the potential impacts of climate change on crop production and on the environment. This study investigates the effects of climate change on paddy rice production in the temperate climate regions under the East Asian monsoon system using the CERES-Rice 4.0 crop simulation model. This model was first calibrated and validated for crop production under elevated CO2 and various temperature conditions. Data were obtained from experiments performed using a temperature gradient field chamber (TGFC) with a CO2 enrichment system installed at Chonnam National University in Gwangju, Korea in 2009 and 2010. Based on the empirical calibration and validation, the model was applied to deliver a simulated forecast of paddy rice production for the region, as well as for the other Japonica rice growing regions in East Asia, projecting for years 2050 and 2100. In these climate change projection simulations in Gwangju, Korea, the yield increases (+12.6 and + 22.0%) due to CO2 elevation were adjusted according to temperature increases showing variation dependent upon the cultivars, which resulted in significant yield decreases (-22.1% and -35.0%). The projected yields were determined to increase as latitude increases due to reduced temperature effects, showing the highest increase for any of the study locations (+24%) in Harbin, China. It appears that the potential negative impact on crop production may be mediated by appropriate cultivar selection and cultivation changes such as alteration of the planting date. Results reported in this study using the CERES-Rice 4.0 model demonstrate the promising potential for its further application in simulating the impacts of climate change on rice production from a local to a regional scale under the monsoon climate system.
作物模拟模型是评估气候变化对作物生产和环境潜在影响的合适工具。本研究利用 CERES-Rice 4.0 作物模拟模型,研究了东亚季风系统下温带气候区水稻生产对气候变化的影响。该模型首先在高 CO2 和不同温度条件下进行了校准和验证,用于作物生产。数据来自于 2009 年和 2010 年在韩国光州的全南国立大学安装了 CO2 富集系统的温度梯度场室(TGFC)进行的实验。基于经验校准和验证,该模型应用于该地区以及东亚其他粳稻种植区的水稻产量模拟预测,预测年份为 2050 年和 2100 年。在韩国光州的这些气候变化预测模拟中,由于 CO2 升高导致的产量增加(+12.6%和+22.0%)根据温度升高进行了调整,表现出因品种而异的变化,这导致了显著的产量下降(-22.1%和-35.0%)。由于温度效应降低,预计产量会随着纬度的增加而增加,在研究地点中,中国哈尔滨的增幅最高(+24%)。似乎通过适当的品种选择和种植方式的改变,如改变种植日期,可以减轻对作物生产的潜在负面影响。本研究使用 CERES-Rice 4.0 模型报告的结果表明,该模型在季风气候系统下,从局部到区域规模模拟气候变化对水稻生产的影响方面具有广阔的应用前景。