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Climate change impacts on regional winter wheat production in main wheat production regions of China

机译:气候变化对中国主要小麦产区的区域冬小麦产量的影响

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Wheat is the second primary crop in China. Wheat production in China is an important component for national food security. The combination of high-resolution Global Climate Model (GCM) and WheatGrow model was used to assess the effects of climate change on wheat yields in the main wheat production regions of China. With the application of many techniques including the downscaling of meteorological data, rasterizing of sowing date, parameterization of region cultivar and vectorization of soil data, the spatial data in study area is divided into homogeneous grids with the resolution of 0.1 degrees x 0.1 degrees. The grid is taken as the basic simulation unit, and each grid has a complete set of input data (meteorological, soil, management and varieties). Regional productivities are simulated with WheatGrow for each grid cell under scenarios of climate-change. There is an advance in flowering date in future climate compare to 2000s, but with a more homogeneous pattern for the whole producing region. The changes in grain filling period are relatively stable. Under rain-fed conditions, wheat yield is reduced in the north regions of China in three future periods, while wheat yield increases in the south regions of China. Under full-irrigation conditions, irrigated wheat yields will increase in almost all regions of whole producing region. The spatial pattern of evapotranspiration change is quite similar to that of yield change under rain-fed and full-irrigation conditions. The correlation between wheat yield and evapotranspiration (ET) increases to 0.96 and 0.51 (p<0.01) under rain-fed and full-irrigation conditions, respectively. The irrigation water use efficiency (IWUE) will decrease under three time slices in 2030s, 2050s and 2070s in western Shandong, southern Sichuan, as well as northern Henan, Shanxi and Shaanxi, while IWUE will increase under scenarios of climate-change in other areas. The results revealed that the increase in effective irrigation in the future would help to increase the ET and further improve the wheat yield in the northern regions of China, and the limited water should be mad full use of in the regions with relatively high IWUE under scenarios of climate-change
机译:小麦是中国的第二主要农作物。中国的小麦生产是国家粮食安全的重要组成部分。高分辨率全球气候模型(GCM)和WheatGrow模型的组合用于评估气候变化对中国主要小麦产区小麦产量的影响。随着气象数据的缩减,播种日期的栅格化,区域品种的参数化以及土壤数据的矢量化等多种技术的应用,研究区域中的空间数据被划分为分辨率为0.1度x 0.1度的均匀网格。网格被当作基本的模拟单元,每个网格都有一套完整的输入数据(气象,土壤,管理和品种)。在气候变化的情况下,使用WheatGrow为每个网格单元模拟区域生产力。与2000年代相比,未来气候中的开花期有所增加,但整个产区的花期更加均匀。籽粒灌浆期的变化相对稳定。在雨水喂养的条件下,中国北方地区的小麦单产在未来三个时期会降低,而中国南方地区的小麦单产会增加。在完全灌溉的条件下,整个产区几乎所有地区的灌溉小麦单产都会增加。在雨水和全灌条件下,蒸散量变化的空间模式与产量变化非常相似。在雨育和全灌条件下,小麦产量与蒸散量(ET)之间的相关性分别增加到0.96和0.51(p <0.01)。在山东西部,四川南部,河南北部,山西和陕西,2030、2050和2070年代的三个时间段内,灌溉用水效率将降低,而在其他地区气候变化的情况下,灌溉用水效率将提高。结果表明,未来有效灌溉的增加将有助于增加北方地区的ET,并进一步提高小麦产量,在这种情况下,水资源短缺的地区应充分利用IWUE相对较高的地区。气候变化

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