| 来源类型 | Conference or Workshop Item (Poster) |
| 规范类型 | 其他 |
| Spatial Analysis of Weather-induced Annual and Decadal Average Yield Variability as Modeled by EPIC for Rain-fed Wheat in Europe. | |
| Khabarov N; Balkovič J; Schmid E; Schwartz A; Azevedo L; Obersteiner M | |
| 发表日期 | 2016 |
| 出处 | European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | In our analysis we evaluate the accuracy of near-term(decadal) average crop yield assessments as supported by the biophysical crop growth model EPIC. A spatial assessment of averages and variability has clear practical implications for agricultural producers and investors concerned with an estimation of the basic stochastic characteristics of a crop yield distribution. |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/12566/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/132680 |
| 推荐引用方式 GB/T 7714 | Khabarov N,Balkovič J,Schmid E,et al. Spatial Analysis of Weather-induced Annual and Decadal Average Yield Variability as Modeled by EPIC for Rain-fed Wheat in Europe.. 2016. |
| 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 | ||
| Poster-Khabarov-EPIC（850KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
| EGU2016-4703.pdf（34KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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