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Variability in crop yields associated with climate anomalies in China over the past three decades

机译:在过去的三十年中,与气候异常相关的中国农作物产量的变异性

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摘要

We used simple and explicit methods, as well as improved datasets for climate, crop phenology and yields, to address the association between variability in crop yields and climate anomalies in China from 1980 to 2008. We identified the most favourable and unfavourable climate conditions and the optimum temperatures for crop productivity in different regions of China. We found that the simultaneous occurrence of high temperatures, low precipitation and high solar radiation was unfavourable for wheat, maize and soybean productivity in large portions of northern, northwestern and northeastern China; this was because of droughts induced by warming or an increase in solar radiation. These climate anomalies could cause yield losses of up to 50 % for wheat, maize and soybeans in the arid and semi-arid regions of China. High precipitation and low solar radiation were unfavourable for crop productivity throughout southeastern China and could cause yield losses of approximately 20 % for rice and 50 % for wheat and maize. High temperatures were unfavourable for rice productivity in southwestern China because they induced heat stress, which could cause rice yield losses of approximately 20 %. In contrast, high temperatures and low precipitation were favourable for rice productivity in northeastern and eastern China. We found that the optimum temperatures for high yields were crop specific and had an explicit spatial pattern. These findings improve our understanding of the impacts of extreme climate events on agricultural production in different regions of China.
机译:我们使用简单明了的方法以及气候,作物物候和产量的改进数据集,解决了1980年至2008年间中国农作物产量的变异性与气候异常之间的联系。我们确定了最有利和不利的气候条件以及中国不同地区农作物生产力的最佳温度。我们发现,在华北,西北和东北的大部分地区,高温,低降水和高太阳辐射的同时发生不利于小麦,玉米和大豆的生产力。这是由于变暖或太阳辐射增加引起的干旱。这些气候异常可能导致中国干旱和半干旱地区的小麦,玉米和大豆损失高达50%的产量。高降水量和低太阳辐射不利于整个中国东南地区的农作物生产力,可能导致稻米减产约20%,小麦和玉米减产约50%。高温不利于中国西南地区的水稻生产,因为高温会引起热胁迫,这可能导致水稻减产约20%。相反,高温和低降水量有利于中国东北和东部地区的水稻生产。我们发现,高产的最佳温度因作物而异,并具有明确的空间格局。这些发现增进了我们对极端气候事件对中国不同地区农业生产影响的理解。

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  • 来源
    《Regional Environmental Change》 |2016年第6期|1715-1723|共9页
  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China|Nat Resources Inst Finland Luke, Vantaa 01301, Finland;

    Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;

    Nat Resources Inst Finland Luke, Vantaa 01301, Finland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Adaptation; Climate change; Climate extremes; Drought; Impacts and vulnerability;

    机译:适应;气候变化;气候极端;干旱;影响和脆弱性;

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