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Simulating Climate Change Impacts and Adaptive Measures for Rice Cultivation in Hunan Province, China

机译:模拟气候变化对湖南省水稻种植的影响及适应措施

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Climate change will inevitably continue for the next few decades and will have an impact on climate-sensitive agricultural production, emphasizing the need to design effective adaptive strategies to cope with climate risk or take advantage of potential climatic benefits. In this study, the latest version of the Crop Environment Resource Synthesis-Rice( CERES-Rice) model was applied to assess the impacts of climate change and carbon dioxide (CO2) fertilization on rice yield, as well as the effectiveness of two popularly adopted adaptive measures in Hunan Province, the main rice-production location in China. The simulation spanned 30 years of baseline (1981-2010) as well as three future periods (2011-40, 2041-70, and 2071-99) with climate data generated by five general circulation models under the newly developed representative concentration pathway (RCP) 4.5 and 8.5 scenarios. The simulation results showed that, in comparison with average rice yield during the baseline (1981-2010), the ensemble-average yield of all cultivars during the 2020s, 2050s, and 2080s would decrease under both RCPs without CO2 fertilization effects. The ensemble-average yield reduction during the 2080s was alleviated under both RCPs if CO2 fertilization effects were accounted for. Adaptation simulations indicated that two adaptive measures (switching cultivars and changing planting dates) could mitigate the adverse effect to different extents. The intermodel variability under both RCPs was generally small. These findings may provide useful insight into the potential impacts of climate change on rice yield and effective adaptive measures to mitigate the adverse effect of future climate change in Hunan Province.
机译:气候变化将不可避免地在未来几十年内持续下去,并将对对气候敏感的农业生产产生影响,强调需要设计有效的适应性战略来应对气候风险或利用潜在的气候效益。在这项研究中,使用了最新版本的作物环境资源综合稻米(CERES-Rice)模型来评估气候变化和二氧化碳(CO2)施肥对水稻产量的影响,以及两种流行的水稻的有效性。中国主要水稻生产地湖南省的适应措施。该模拟跨越了30年的基线(1981-2010)以及三个未来时期(2011-40、2041-70和2071-99),其中包括在新开发的代表性浓度路径(RCP)下由五个常规循环模型生成的气候数据)4.5和8.5方案。模拟结果表明,与基线(1981-2010年)的水稻平均产量相比,在没有CO2施肥效应的两个RCPs下,2020s,2050s和2080s期间所有品种的总体平均产量将下降。如果考虑到二氧化碳的施肥效应,在两个RCPs下,2080年代的总体平均单产降低都得到缓解。适应模拟表明,两种适应措施(转换品种和改变播种日期)可以在不同程度上减轻不利影响。两个RCP下的模型间差异通常很小。这些发现可以为气候变化对水稻产量的潜在影响提供有用的见解,并为减轻湖南省未来气候变化的不利影响提供有效的适应措施。

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