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Robust negative impacts of climate change on African agriculture

机译:气候变化对非洲农业的强大负面影响

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There is widespread interest in the impacts of climate change on agriculture in Sub-Saharan Africa (SSA), and on the most effective investments to assist adaptation to these changes, yet the scientific basis for estimating production risks and prioritizing investments has been quite limited. Here we show that by combining historical crop production and weather data into a panel analysis, a robust model of yield response to climate change emerges for several key African crops. By mid-century, the mean estimates of aggregate production changes in SSA under our preferred model specification are ? 22, ? 17, ? 17, ? 18, and ? 8% for maize, sorghum, millet, groundnut, and cassava, respectively. In all cases except cassava, there is a 95% probability that damages exceed 7%, and a 5% probability that they exceed 27%. Moreover, countries with the highest average yields have the largest projected yield losses, suggesting that well-fertilized modern seed varieties are more susceptible to heat related losses.
机译:人们普遍关注气候变化对撒哈拉以南非洲(SSA)农业的影响,以及对帮助适应这些变化的最有效投资,然而,估算生产风险和确定投资优先次序的科学基础十分有限。在这里,我们表明,通过将历史农作物产量和天气数据结合到面板分析中,可以得出几种主要非洲农作物对气候变化的稳健产量响应模型。到本世纪中叶,根据我们的首选模型规范,SSA的总产量变化的平均估计为? 22 ,? 17 、? 17 、? 18,还有?玉米,高粱,小米,花生和木薯分别为8%。在除木薯之外的所有情况下,损害超过95%的可能性为95%,损害超过27%的可能性为5%。此外,平均单产最高的国家预计的单产损失最大,这表明受精的现代种子品种更容易遭受与热有关的损失。

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