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The observed relationships between wheat and climate in China

机译:中国小麦与气候的关系

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Recent changes in climate have had a measurable impact on crop yield in China. The objective of this study is to investigate how climate variability affects wheat yield in China at different spatial scales. First the response of wheat yield to the climate at the provincial level from 1978 to 1995 for China was analysed. Wheat yield variability was only correlated with climate variability in some regions of China. At the provincial level, the variability of precipitation had a negative impact on wheat yield in parts of southeast China, but the seasonal mean temperature had a negative impact on wheat yield in only a few provinces, where significant variability in precipitation explained about 23-60% of yield variability, and temperature variability accounted for 37-41% of yield variability from 1978 to 1995.The correlation between wheat yield and climate for the whole of China from 1985 to 2000 was investigated at five spatial scales using climate data. The Climate Research Unit (CRU) and National Centers for Environmental Prediction (NCEP) proportions of the grid cells with a significant yield-precipitation correlation declined progressively from 14.6% at 0.5 degrees to 0% at 5 degrees scale. In contrast, the proportion of grid cells significant for the yield-temperature correlation increased progressively from 1.9% at 0.5 degrees scale to 16% at 5 degrees scale. This indicates that the variability of precipitation has a higher association with wheat yield at small scales (0.5 degrees, 2 degrees/2.5 degrees) than at larger scales (4 degrees/5.0 degrees): but wheat yield has a good association with temperature at all levels of aggregation. The precipitation variable at the smaller scales (0.5 degrees, 2 degrees/2.5 degrees) is a dominant factor in determining inter-annual wheat yield variability more so than at the larger scales (4 degrees/5 degrees). We conclude that in the current climate the relationship between wheat yield and each of precipitation and temperature becomes weaker and stronger, respectively, with an increase in spatial scale
机译:最近的气候变化对中国的农作物产量产生了可观的影响。这项研究的目的是研究气候变化如何在不同的空间尺度上影响中国的小麦产量。首先,分析了1978年至1995年中国小麦产量对省级气候的响应。在中国某些地区,小麦的产量变异性仅与气候变异性相关。在省一级,降水的变化对中国东南部分地区的小麦产量产生负面影响,但季节性平均温度仅在少数几个省份对小麦的产量产生负面影响,在这些省份,降水的明显变化解释了约23-60 1978年至1995年,小麦单产的百分比变化率和温度变化率占单产变化率的37-41%.1985年至2000年,利用气候数据在五个空间尺度上研究了整个中国1985年至2000年小麦产量与气候之间的相关性。具有显着的产量-降水相关性的网格单元的气候研究单位(CRU)和国家环境预测中心(NCEP)的比例从0.5度的14.6%逐渐降低到5度的0%。相反,对于屈服温度相关性显着的网格单元比例从0.5度标度的1.9%逐渐增加到5度标度的16%。这表明在小尺度(0.5度,2度/2.5度)下,降水变化与小麦产量的相关性高于大尺度(4度/5.0度)与小麦产量的相关性:但小麦产量与温度的相关性都很高。聚合级别。与较大规模(4度/ 5度)相比,较小尺度(0.5度,2度/2.5度)的降水变量是决定年度小麦单产变异性的主要因素。我们得出结论,在当前气候下,随着空间规模的增加,小麦产量与降水量和温度之间的关系分别变得更弱和更强。

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