| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1016/j.agsy.2013.05.008 |
| Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation. | |
| Balkovič J; van der Velde M; Schmid E; Khabarov N; Obersteiner M; Sturmer B; Xiong W | |
| 发表日期 | 2013 |
| 出处 | Agricultural Systems 120: 61-75 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | Justifiable usage of large-scale crop model simulations requires transparent, comprehensive and spatially extensive evaluations of their performance and associated accuracy. Simulated crop yields of a Pan-European implementation of the Environmental Policy Integrated Climate (EPIC) crop model were satisfactorily evaluated with reported regional yield data from EUROSTAT for four major crops, including winter wheat, rainfed and irrigated maize, spring barley and winter rye. European-wide land use, elevation, soil and daily meteorological gridded data were integrated in GIS and coupled with EPIC. Default EPIC crop and biophysical process parameter values were used with some minor adjustments according to suggestion from scientific literature. The model performance was improved by spatial calculations of crop sowing densities, potential heat units, operation schedules, and nutrient application rates. EPIC performed reasonable in the simulation of regional crop yields, with long-term averages predicted better than inter-annual variability: linear regression R2 ranged from 0.58 (maize) to 0.91 (spring barley) and relative estimation errors were between +-30% for most of the European regions. The modelled and reported crop yields demonstrated similar responses to driving meteorological variables. However, EPIC performed better in dry compared to wet years. A yield sensitivity analysis of crop nutrient and irrigation management factors and cultivar specific characteristics for contrasting regions in Europe revealed a range in model response and attainable yields. We also show that modelled crop yield is strongly dependent on the chosen PET method. The simulated crop yield variability was lower compared to reported crop yields. This assessment should contribute to the availability of harmonised and transparently evaluated agricultural modelling tools in the EU as well as the establishment of modelling benchmark as a requirement for sound and ongoing policy evaluations in the agricultural and environmental domains. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | EPIC Large-scale crop modelling Model performance testing EU |
| URL | http://pure.iiasa.ac.at/id/eprint/10419/ |
| 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/129579 |
| 推荐引用方式 GB/T 7714 | Balkovič J,van der Velde M,Schmid E,et al. Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation.. 2013. |
| 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 | ||
| 1-s2.0-S0308521X1300（4143KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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