| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1038/ncomms11872 |
| Uncertainty in soil data can outweigh climate impact signals in crop yield simulations. | |
| Folberth C; Moltchanova E; Balkovic J; Azevedo L; Obersteiner M; van der Velde M | |
| 发表日期 | 2016 |
| 出处 | Nature Communications 7: art.no.11872 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. Here we compare yield variability caused by the soil type selected for GGCM simulations to weather-induced yield variability. Without fertilizer application, soil-type-related yield variability generally outweighs the simulated inter-annual variability in yield due to weather. Increasing applications of fertilizer and irrigation reduce this variability until it is practically negligible. Importantly, estimated climate change effects on yield can be either negative or positive depending on the chosen soil type. Soils thus have the capacity to either buffer or amplify these impacts. Our findings call for improvements in soil data available for crop modelling and more explicit accounting for soil variability in GGCM simulations. |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/13305/ |
| 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/130632 |
| 推荐引用方式 GB/T 7714 | Folberth C,Moltchanova E,Balkovic J,et al. Uncertainty in soil data can outweigh climate impact signals in crop yield simulations.. 2016. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
