کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4508892 | 1624464 | 2014 | 14 صفحه PDF | دانلود رایگان |
• Systematic analysis of the influence of spatial soil data resolution on simulated regional yields and total growing season evapotranspiration.
• The responses of four crop models of different complexity are compared.
• Differences between models are larger than the effect of the chosen spatial soil data resolution.
• Low influence of soil data resolution due to: high precipitation amount, methods for calculating water retention and method of data aggregation.
The spatial variability of soil properties is an important driver of yield variability at both field and regional scale. Thus, when using crop growth simulation models, the choice of spatial resolution of soil input data might be key in order to accurately reproduce observed yield variability. In this study we used four crop models (SIMPLACE
Journal: European Journal of Agronomy - Volume 61, November 2014, Pages 35–48