Sensitivity analysis of the Aquacrop and SAFYE crop models for the assessment of water limited winter wheat yield in regional scale applications.
Sensitivity analysis of the Aquacrop and SAFYE crop models for the assessment of water limited winter wheat yield in regional scale applications.
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DOI：
10.1371/journal.pone.0187485
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Casa R
中科院分区：
文献类型：
--
作者：
Silvestro PC;Pignatti S;Yang H;Yang G;Pascucci S;Castaldi F;Casa R
基于过程的模型可以有效地用于评估干旱对作物产量的田间和区域规模的影响。然而，在许多情况下，特别是在区域一级使用时，必须查明对产出影响最大的参数和投入变量，并评估其影响在气候和环境条件变化时如何变化。在这项工作中，两种不同的作物模型，能够代表产量对水的反应，Aquacrop和SAFYE，进行了比较，目的是量化其复杂性和可塑性，通过全球敏感性分析（GSA），使用莫里斯和EFAST（扩展傅立叶幅度敏感性测试）技术，为中度到强烈的水分限制的气候情景。虽然敏感性指数的排名受到所使用的情景的影响，排名之间的相关性，较高的SAFYE比Aquacrop，自上而下的相关系数（TDCC）评估，揭示了明确的模式。与物候和水分胁迫生理过程相关的参数和输入变量被认为是最有影响力的Aquacrop。对于SAFYE，人们发现，水分胁迫可以间接地推断出原来的SAFY模型中描述的调节叶片生长的过程。SAFYE具有较低的复杂性和可塑性比Aquacrop，使其更适合于较少的数据要求区域规模的应用程序，如果唯一的目标是作物产量的评估，并没有详细的信息是寻求影响其局限性的压力因素的机制。
Process-based models can be usefully employed for the assessment of field and regional-scale impact of drought on crop yields. However, in many instances, especially when they are used at the regional scale, it is necessary to identify the parameters and input variables that most influence the outputs and to assess how their influence varies when climatic and environmental conditions change. In this work, two different crop models, able to represent yield response to water, Aquacrop and SAFYE, were compared, with the aim to quantify their complexity and plasticity through Global Sensitivity Analysis (GSA), using Morris and EFAST (Extended Fourier Amplitude Sensitivity Test) techniques, for moderate to strong water limited climate scenarios. Although the rankings of the sensitivity indices was influenced by the scenarios used, the correlation among the rankings, higher for SAFYE than for Aquacrop, assessed by the top-down correlation coefficient (TDCC), revealed clear patterns. Parameters and input variables related to phenology and to water stress physiological processes were found to be the most influential for Aquacrop. For SAFYE, it was found that the water stress could be inferred indirectly from the processes regulating leaf growth, described in the original SAFY model. SAFYE has a lower complexity and plasticity than Aquacrop, making it more suitable to less data demanding regional scale applications, in case the only objective is the assessment of crop yield and no detailed information is sought on the mechanisms of the stress factors affecting its limitations.
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影响因子：
6.7
作者：
Andarzian, B.;Bannayan, M.;Rahnama, A.
通讯作者：
Rahnama, A.
影响因子：
4.9
作者：
Confalonieri, Roberto;Bregaglio, Simone;Bouman, Bas
通讯作者：
Bouman, Bas
影响因子：
5.2
作者：
Castaneda-Vera, A.;Leffelaar, P. A.;Minguez, M. I.
通讯作者：
Minguez, M. I.
影响因子：
3.1
作者：
Confalonieri, R.;Bregaglio, S.;Acutis, M.
通讯作者：
Acutis, M.
影响因子：
2.5
作者：
IMAN, RL;CONOVER, WJ
通讯作者：
CONOVER, WJ