Scientia Agricultura Sinica ›› 2017, Vol. 50 ›› Issue (1): 64-76.doi: 10.3864/j.issn.0578-1752.2017.01.006

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Global Sensitivity Analysis of AquaCrop Crop Model Parameters Based on EFAST Method

XING HuiMin1, 2, 3, 4, XIANG ShiYao1, XU XinGang2, 3, FENG HaiKuan2, 3, YANG GuiJun2, 3, CHEN ZhaoXia2, 3   

  1. 1College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083; 2Remote Sensing Mintech, Beijing Research Center for Information Technology in Agriculture, Beijing 100097; 3Remote Sensing Mintech, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097; 4Department of Environment and Planning, Shangqiu Normal University, Shangqiu 476000, Henan
  • Received:2016-06-01 Online:2017-01-01 Published:2017-01-01

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Abstract: 【Objective】Sensitivity analysis is an important link in crop model localization, and it plays an important role in AquaCrop model calibration and application.【Method】In this study, in order to identify the sensitivity parameters, the 2012-2013, 2013-2014 and 2014-2015 winter wheat experiments were conducted in National Precision Agriculture Demonstration Research Base in Beijing, China, the Extended Fourier Amplitude Sensitivity Test (EFAST) method was used to carry out sensitivity analysis of 42 crop parameters of AquaCrop model.【Result】The sensitivity parameters were: (1) For dry biomass: water and temperature stress (minimum growing degrees required for full biomass production (stbio), upper threshold of soil water depletion factor for canopy senescence (psen)), biomass and yield production (water productivity normalized (wp)), transpiration (crop coefficient when canopy is complete but prior to senescence (kcb)), canopy and phaenological development (GGD-increase in canopy cover (cgc), GDD-from sowing to emergence (eme), maximum canopy cover in fraction soil cover (mcc), GGD-decrease in canopy cover (cdc), total length of crop cycle in growing degree-days (mat), building-up of harvest index during yield formation (hilen)). stbio, kcb, wp and cgc were the four most sensitive parameters; (2) For canopy cover: canopy and phaenological development (cgc, mcc, number of plants per hectare (den), soil surface covered by an individual seedling at 90% emergence (ccs), mat and cdc), root development (maximum effective rooting depth (rtx)), water and temperature stress (psen), transpiration (kcb); (3) For yield: canopy and phaenological development (GDD-from sowing to flowering (flo), mat, cdc, hilen and GDD-from sowing to start senescence (sen)), water and temperature stress (psen), biomass and yield production (reference harvest index (hi) and wp), transpiration (kcb).【Conclusion】The results of first order and total order sensitivity analysis for AquaCrop model of winter wheat maximum dry biomass and dry biomass time-varying showed that there was a little difference in the choice of sensitivity parameters, but many differences in the ranking. The sensitivity analysis of maximum dry biomass was not comprehensive, which could not analyze the effect of crop parameters on dry biomass during the whole growth period. The results of the first order and total order sensitivity analysis for AquaCrop model of winter wheat canopy cover time-varying showed that there was a good consistency in the selection and ranking of sensitive parameters. The values of total order sensitivity indices of crop parameters were higher than first order, and the influences on canopy cover were more obvious. This study provides guidelines for AquaCrop model calibration and application in Beijing, China, as well providing guidance to simplify the AquaCrop model and improve its precision, especially when many parameters are used.

Key words: winter wheat, AquaCrop model, sensitivity analysis, EFAST method, biomass

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