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How Much Would Different Temporal Scales Affect the Pattern of Rice Exposure to Heat Stress in China?

机译:不同的时间鳞片会影响大米暴露在中国的热压力模式?

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The spatio-temporal pattern of rice exposure to heat stress (EHS) would provide strong supports for decision makers particularly in China, to cope with increasing heat-stress threats under global warming. To obtain reliable assessments, the study period needs no less than thirty years. But how much would different temporal scales affect rice EHS pattern in China? Whether these differences potentially affect adaptation decisions? These problems still remain unclear. Here, we assessed the spatio-temporal patterns of rice EHS at three typical-used scales (1980–2009, 1970–2009 and 1960–2009), and accordingly projected EHS over the 2010s to further explore which scale could better capture recent EHS levels in China. The results showed that in the east of Sichuan Basin and the northwest of the mid-lower reaches of Yangtze River, EHS was highest over 1960–2009, whereas southern China saw highest EHS over 1980–2009. The temporal pattern saw large differences in both the areas with significant trends and their trend levels, showing particular hot spots over 1980–2009. The projected EHS based on the datasets over 1970–2009 were more consistent with those over the 2010s in most cases. Based on the patterns at different temporal scales, adaptation decisions would also show different characteristics, such as more attentions would be paid to the south of Anhui province over the scale of 1980–2009.
机译:热量压力(EHS)的水稻暴露的时空模式将为决策者提供强有力的支持,特别是在中国,应对全球变暖下的热应力威胁增加。为了获得可靠的评估,研究期需要不少于三十年。但是不同的时间尺度会如何影响中国的米饭EHS模式?这些差异是否可能影响适应决策?这些问题仍然不清楚。在这里,我们评估了三个典型使用的秤(1980-2009,1970-2009和1960-2009)的水稻EHS的时空模式,并在2010年代预计EHS进一步探索哪种规模可以更好地捕获最近的EHS水平在中国。结果表明,在四川盆地的东部和长江中下游的西北部,EHS在1960年至2009年最高,而南方队看到了1980年至2009年的最高EHS。时间模式在具有重大趋势及其趋势水平的区域中看到了巨大差异,在1980 - 2009年显示出特定的热点。在大多数情况下,基于1970 - 2009年的数据集的预计EHS与2010年的数据集更符合。基于不同时间尺度的图案,适应决策也会显示出不同的特征,例如更多的注意力将在1980 - 2009年的规模上向安徽省南部支付。

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