Agroecosystem models that simulate crop growth as a function of weather conditionsand soil characteristics are among the most promising tools for improving crop yield and achieving more sustainable agricultural production systems. This study aims at using spatially distributed crop growth simulations to investigate how field-scale patterns in soil properties obtained using geophysical mapping affect the spatial variability of soil water content dynamics and growth of crops at the square kilometer scale. For this, a geophysics-based soil map was intersected with land use information. Soilhydraulic parameters were calculated using pedotransfer functions. Simulations of soilwater content dynamics performed with the agroecosystem model AgroC were com-pared with soil water content measured at two locations, resulting in RMSE of 0.032and of 0.056 cm3cm−3, respectively. The AgroC model was then used to simulate thegrowth of sugar beet (Beta vulgaris L.), silage maize (Zea maysL.), potato (SolanumtuberosumL.), winter wheat (Triticum aestivumL.), winter barley (Hordeum vulgareL.), and winter rapeseed (Brassica napusL.) in the 1- by 1-km study area. It was found that the simulated leaf area index (LAI) was affected by the magnitude of simulated water stress, which was a function of both the crop type and soil characteristics. Simulated LAI was generally consistent with the observed LAI calculated from normalized difference vegetation index (LAINDVI) obtained from RapidEye satellite data. Finally, maps of simulated agricultural yield were produced for four crops, and it was found that simulated yield matched well with actual harvest data and literature values. Therefore, it was concluded that the information obtained from geophysics-based soilmapping was valuable for practical agricultural applications.

中文翻译：

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使用农业生态系统建模和基于地球物理学的定量土壤信息模拟作物叶面积指数和产量的空间变异性

模拟作为天气条件和土壤特征函数的作物生长的农业生态系统模型是提高作物产量和实现更可持续的农业生产系统的最有前途的工具之一。本研究旨在使用空间分布的作物生长模拟来研究使用地球物理制图获得的土壤特性的田间尺度模式如何影响平方公里尺度上土壤含水量动态和作物生长的空间变异性。为此，将基于地球物理学的土壤图与土地利用信息相交。使用土壤传递函数计算土壤水力学参数。将使用农业生态系统模型 AgroC 进行的土壤含水量动态模拟与在两个位置测量的土壤含水量进行比较，得出 RMSE 为 0.032 和 0。分别为 056 cm3cm−3。然后使用 AgroC 模型模拟甜菜 (Beta vulgaris L.)、青贮玉米 (Zea maysL.)、马铃薯 (SolanumtuberosumL.)、冬小麦 (Triticum aestivumL.)、冬大麦 (Hordeum vulgareL.) 和1 乘 1 公里研究区的冬油菜 (Brassica napusL.)。结果表明，模拟叶面积指数（LAI）受模拟水分胁迫程度的影响，模拟水分胁迫是作物类型和土壤特性的函数。模拟的 LAI 与根据从 RapidEye 卫星数据获得的归一化差异植被指数 (LAINDVI) 计算得出的观测 LAI 基本一致。最后，制作了四种作物的模拟农业产量图，发现模拟产量与实际收获数据和文献值吻合良好。所以，