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首页> 外文期刊>Environmental Research Letters >Changes in yield variability of major crops for 1981–2010 explained by climate change
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Changes in yield variability of major crops for 1981–2010 explained by climate change

机译:气候变化解释了1981-2010年主要农作物产量变异性的变化

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While changes in temperature and precipitation extremes are evident, their influence on crop yield variability remains unclear. Here we present a global analysis detecting yield variability change and attributing it to recent climate change using spatially-explicit global data sets of historical yields and an agro-climatic index based on daily weather data. The agro-climatic index used here is the sum of effective global radiation intercepted by the crop canopy during the yield formation stage that includes thresholds for extreme temperatures and extreme soil moisture deficit. Results show that year-to-year variations in yields of maize, soybean, rice and wheat in 1981–2010 significantly decreased in 19%–33% of the global harvested area with varying extent of area by crop. However, in 9%–22% of harvested area, significant increase in yield variability was detected. Major crop-producing regions with increased yield variability include maize and soybean in Argentina and Northeast China, rice in Indonesia and Southern China, and wheat in Australia, France and Ukraine. Examples of relatively food-insecure regions with increased yield variability are maize in Kenya and Tanzania and rice in Bangladesh and Myanmar. On a global scale, over 21% of the yield variability change could be explained by the change in variability of the agro-climatic index. More specifically, the change in variability of temperatures exceeding the optimal range for yield formation was more important in explaining the yield variability change than other abiotic stresses, such as temperature below the optimal range for yield formation and soil water deficit. Our findings show that while a decrease in yield variability is the main trend worldwide across crops, yields in some regions of the world have become more unstable, suggesting the need for long-term global yield monitoring and a better understanding of the contributions of technology, management, policy and climate to ongoing yield variability change.
机译:尽管温度和极端降水的变化很明显,但它们对农作物产量变异性的影响仍不清楚。在这里,我们提出了一项全球分析,使用历史产量的空间明确全球数据集和基于每日天气数据的农业气候指数,来检测产量变异性并将其归因于近期的气候变化。这里使用的农业气候指数是在产量形成阶段被作物冠层截获的有效全球辐射总和,其中包括极端温度和极端土壤湿度不足的阈值。结果表明,1981-2010年间玉米,大豆,水稻和小麦的产量逐年变化,在全球收成面积的19%-33%中,随着作物面积的不同而显着下降。但是,在9%至22%的收获面积中,发现单产差异显着增加。产量波动性增加的主要农作物产区包括阿根廷和中国东北的玉米和大豆,印度尼西亚和中国南方的稻米以及澳大利亚,法国和乌克兰的小麦。产量变异性相对较高的粮食不安全地区的例子有肯尼亚和坦桑尼亚的玉米,孟加拉国和缅甸的稻米。在全球范围内,超过21%的产量变异性变化可以用农业气候指数变异性的变化来解释。更具体地说,温度的可变性变化超过产量形成的最佳范围比其他非生物胁迫(例如温度低于产量形成的最佳范围和土壤缺水)在解释产量变化时更重要。我们的发现表明,尽管产量变异性下降是全球范围内各种作物的主要趋势,但世界某些地区的产量却变得更加不稳定,这表明需要进行长期的全球产量监测并更好地了解技术的贡献,管理,政策和气候,以应对不断变化的产量变化。

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