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Separate and combined effects of temperature and precipitation change on maize yields in sub-Saharan Africa for mid- to late-21st century

机译:21世纪中下半叶,温度和降水变化对撒哈拉以南非洲玉米单产的单独和综合影响

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摘要

Maize (Zea mays L.) is one of the most important food crops and very common in all parts of sub-Saharan Africa. In 2010 53 million tons of maize were produced in sub-Saharan Africa on about one third of the total harvested cropland area (-33 million ha). Our aim is to identify the limiting agroclimatic variable for maize growth and development in sub-Saharan Africa by analyzing the separated and combined effects of temperature and precipitation. Under changing climate, both climate variables are projected to change severely, and their impacts on crop yields are frequently assessed using process-based crop models. However it is often unclear which agroclimatic variable will have the strongest influence on crop growth and development under climate change and previous studies disagree over this question. We create synthetic climate data in order to study the effect of large changes in the length of the wet season and the amount of precipitation during the wet season both separately and in combination with changes in temperature. The dynamic global vegetation model for managed land LPJmL is used to simulate maize yields under current and future climatic conditions for the two 10-year periods 2056-2065 and 2081-2090 for three climate scenarios for the Al b emission scenario but without considering the beneficial CO_2 fertilization effect. The importance of temperature and precipitation effects on maize yields varies spatially and we identify four groups of crop yield changes: regions with strong negative effects resulting from climate change (<- 33% yield change), regions with moderate (-33% to -10% yield change) or slight negative effects (-10% to + 6% yield change), and regions with positive effects arising from climate change mainly in currently temperature-limited high altitudes (>+6% yield change). In the first three groups temperature increases lead to maize yield reductions of 3 to 20%, with the exception of mountainous and thus cooler regions in South and East Africa. A reduction of the wet season precipitation causes decreases in maize yield of at least 30% and prevails over the effect of increased temperatures in southern parts of Mozambique and Zambia, the Sahel and parts of eastern Africa in the two projection periods. This knowledge about the limiting abiotic stress factor in each region will help to prioritize future research needs in modeling of agricultural systems as well as in drought and heat stress breeding programs and to identify adaption options in agricultural development projects. On the other hand the study enhances the understanding of temperature and water stress effects on crop yields in a global vegetation model in order to identify future research and model development needs.
机译:玉米(Zea mays L.)是最重要的粮食作物之一,在撒哈拉以南非洲的所有地区非常普遍。 2010年,撒哈拉以南非洲地区生产了5300万吨玉米,约占总收获土地面积(-3300万公顷)的三分之一。我们的目标是通过分析温度和降水的分离和综合影响,确定撒哈拉以南非洲玉米生长和发育的限制农业气候变量。在气候变化的情况下,预计两个气候变量都将发生严重变化,并且经常使用基于过程的作物模型来评估它们对作物产量的影响。然而,通常不清楚哪种农业气候变量将在气候变化下对农作物的生长和发育产生最强的影响,以前的研究对此问题持不同意见。我们创建合成气候数据是为了分别研究湿季长度的大变化和湿季降水量以及温度变化的影响。对于Alb排放情景的三个气候情景,使用管理土地LPJmL的动态全球植被模型来模拟当前和未来气候条件下两个10年期2056-2065和2081-2090的玉米产量,但不考虑其有益的影响。 CO_2的施肥效果。温度和降水对玉米产量的影响的重要性在空间上有所不同,我们确定了四类作物的产量变化:气候变化(<-33%的产量变化)造成严重负面影响的地区,中等(-33%至-10的地区) %的产量变化)或轻微的负面影响(-10%到+ 6%的产量变化),以及对气候变化产生积极影响的地区,主要是在当前温度受限的高海拔地区(> + 6%的产量变化)。在前三组中,温度升高导致玉米减产3%至20%,南部和东非的山区和凉爽地区除外。湿季降水的减少导致玉米产量至少降低30%,并且在两个预测期内超过莫桑比克和赞比亚南部,萨赫勒地区和东非部分地区温度升高的影响。有关每个地区限制非生物胁迫因素的知识将有助于在农业系统建模以及干旱和高温胁迫育种计划中优先考虑未来的研究需求,并确定农业发展项目中的适应方案。另一方面,该研究增强了对全球植被模型中温度和水分胁迫对作物产量的影响的认识,以便确定未来的研究和模型开发需求。

著录项

  • 来源
    《Global and planetary change》 |2013年第7期|1-12|共12页
  • 作者

    K. Waha; C. Mueller; S. Rolinski;

  • 作者单位

    Potsdam Institute for Climate Impact Research (PIK), Research Domain on Climate Impacts and Vulnerabilities, P.O. Box 60 12 03, D-14412, Potsdam, Germany;

    Potsdam Institute for Climate Impact Research (PIK), Research Domain on Climate Impacts and Vulnerabilities, P.O. Box 60 12 03, D-14412, Potsdam, Germany;

    Potsdam Institute for Climate Impact Research (PIK), Research Domain on Climate Impacts and Vulnerabilities, P.O. Box 60 12 03, D-14412, Potsdam, Germany;

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

    climate change; wet season; water stress; temperature stress; hierarchical cluster analysis;

    机译:气候变化;雨季;水分压力温度应力层次聚类分析;

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