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首页> 外文期刊>European Journal of Agronomy >Using the CERES-Maize model in a semi-arid Mediterranean environment. Validation of three revised versions
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Using the CERES-Maize model in a semi-arid Mediterranean environment. Validation of three revised versions

机译:在半干旱的地中海环境中使用CERES-玉米模型。验证三个修订版本

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The original version (V0) of the CERES-Maize model predicted quite accurately the productivity of well-watered maize grown in a semiarid Mediterranean environment. The relative difference (D%) between simulated and observed data was lower than 15%. However, under soil water shortage, the simulations provided by V0 were not satisfactory in terms of leaf area index, LAI (D% > 40), biomass (D% > 25), grain yield (D% > 20). The aim of this paper is to verify whether the poor performance of CERES-Maize derives either from a non-correct simulation of the leaf area, from an extremely severe effect of the water stress coefficient, or from the joint effect of both. The soundness of these hypotheses has been tested by comparing three different revisions of CERES-Maize model (VI, including the modification to submodel for LAI simulation; V2 with the revised function describing the water stress estimate; V3 combining both revisions) with the observed data and with the original V0 model. The revised models were validated at two levels: the final data at the end of the growing season and their dynamics on a daily basis. Revisions VI or V2 improved simulation of some CERES output variables, particularly, LAI in VI and grain yield in V2. However, only the combined version V3 shows the best performance (D% < 13 for grain yield, biomass and LAI) of the CERES-Maize model under Mediterranean conditions, characterised by a changing soil water availability. This supports the third hypothesis according to which the goodness of model-fitting under the Mediterranean conditions can be increased only by both revisions, in leaf surface and in water stress coefficient. The generalisation of the two sub-models included in the V3 version, concerning the LAI and the stress function calculations, is also discussed.
机译:CERES-玉米模型的原始版本(V0)相当准确地预测了在半干旱地中海环境下种植的水分充足的玉米的生产力。模拟数据和观察数据之间的相对差异(D%)低于15%。然而,在土壤缺水的情况下,V0提供的模拟在叶面积指数,LAI(D%> 40),生物量(D%> 25),谷物产量(D%> 20)方面都不令人满意。本文的目的是验证CERES-Maize的性能差是源自叶面积的不正确模拟,源自水分胁迫系数的极其严重的影响,还是源自两者的共同影响。通过比较CERES-Maize模型的三个不同修订版(VI,包括对LAI仿真的子模型的修改; V2具有描述水压力估算的修订函数; V3结合了两个修订版),对这些假设的正确性进行了测试。并使用原始的V0模型。修改后的模型在两个级别上得到了验证:生长季节结束时的最终数据以及它们每天的动态。修订版VI或V2改进了某些CERES输出变量的仿真,尤其是VI中的LAI和V2中的谷物产量。但是,只有组合版本V3在地中海条件下显示出CERES-玉米模型的最佳性能(谷物产量,生物量和LAI的D%<13),其特征是土壤可利用性不断变化。这支持了第三个假设,根据该假设,仅通过两个修正,即叶表面和水分胁迫系数的增加,就可以提高在地中海条件下进行模型拟合的优越性。还讨论了V3版本中包含的两个子模型的一般化,涉及LAI和应力函数计算。

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