| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1002/2016EF000525 |
| Understanding the weather signal in national crop-yield variability. | |
| Frieler K; Schauberger B; Arneth A; Balkovic J; Chryssanthacopoulos J; Deryng D; Elliott J; Folberth C | |
| 发表日期 | 2017 |
| 出处 | Earth's Future 5 (6): 605-616 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers and may trigger significant global price fluctuations, with severe consequences for people in developing countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, and pests. Although an explicit quantification and deeper understanding of weather-induced crop-yield variability is essential for adaptation strategies, so far it has only been addressed by empirical models. Here we provide conservative estimates of the fraction of reported national yield variabilities that can be attributed to weather by state-of-the-art, process-based crop model simulations. We find that observed weather variations can explain more than 50% of the variability in wheat yields in Australia, Canada, Spain, Hungary, and Romania. For maize, weather sensitivities exceed 50% in seven countries, including the US. The explained variance exceeds 50% for rice in Japan and South Korea and for soy in Argentina. Avoiding water stress by simulating yields assuming full irrigation shows that water |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/14616/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130906 |
| 推荐引用方式 GB/T 7714 | Frieler K,Schauberger B,Arneth A,et al. Understanding the weather signal in national crop-yield variability.. 2017. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Frieler_et_al-2017-E（1009KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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