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Evaluating the ability of four crop models to predict different environmental impacts on spring wheat grown in open-top chambers

机译:评估四种作物模型预测对开顶室中的春小麦的不同环境影响的能力

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We used the modeling package Expert-N to investigate the ability of four generic-mechanistic crop models that were originally developed under field conditions to simulate the plant growth of spring wheat grown in open-top chambers (OTC) under different environmental conditions. We focus on the impacts of water limitation and elevated atmospheric CO2 concentration on biomass production. Expert-N facilitates the comparison of the components of agro-ecosystem models because it allows the exchange of single modules while leaving the rest of the model unchanged. The crop growth part of the models SPASS, CERES-Wheat, SUCROS and GECROS were combined with the Penman-Monteith equation for potential evapotranspiration, the HYDRUS-1D model for water transport and the LEACHN model for nitrogen transport and turnover simulation. The models were applied to a data set provided by OTC experiments with spring wheat (Triticum aestivum L cv. 'Minaret') that was grown under two atmospheric CO2 concentrations (ambient/elevated), two irrigation schemes (non-limited water supply/water limitation) and two soil types (Cambisol/Chernosem) in two subsequent vegetation periods (1998/1999). Based on the model calibration using experimental and literature data, the best simulation results describing the impact of the considered environmental conditions were obtained using the SUCROS model followed by the SPASS, GECROS and CERES models. The study depicts the shortcomings of the underlying processes in all of the models. These shortcomings need to be addressed when models are applied on regional scales or for prediction under climate change conditions
机译:我们使用建模包Expert-N来研究最初在田间条件下开发的四种通用机械作物模型的能力,这些模型可以模拟在不同环境条件下在敞篷房(OTC)中生长的春小麦的植物生长。我们专注于水分限制和大气中CO2浓度升高对生物量生产的影响。 Expert-N有助于比较农业生态系统模型的组成部分,因为它允许交换单个模块,而其余模型保持不变。模型SPASS,CERES-Wheat,SUCROS和GECROS的作物生长部分与潜在蒸散的Penman-Monteith方程,用于水运的HYDRUS-1D模型以及用于氮运和周转模拟的LEACHN模型相结合。将模型应用于由OTC实验提供的数据集,该数据集是在两种大气CO2浓度(环境/升高),两种灌溉方案(无限制供水/水)下生长的春小麦(Triticum aestivum L cv。'Minaret')提供的。限制)和随后两个植被期(1998/1999)的两种土壤类型(Cambisol / Chernosem)。基于使用实验和文献数据进行的模型校准,使用SUCROS模型,SPASS,GECROS和CERES模型获得了描述所考虑环境条件影响的最佳模拟结果。该研究描述了所有模型中基本过程的缺点。当在区域尺度上应用模型或在气候变化条件下进行预测时,需要解决这些缺陷

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