Evaluation of the CropSyst Model during Wheat-Maize Rotations on the North China Plain for Identifying Soil Evaporation Losses

被引:23
|
作者
Umair, Muhammad [1 ,2 ,3 ]
Shen, Yanjun [1 ,2 ]
Qi, Yongqing [1 ,2 ]
Zhang, Yucui [1 ,2 ]
Ahmad, Ayesha [3 ,4 ]
Pei, Hongwei [5 ]
Liu, Meiying [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Key Lab Agr Water Resources, Shijiazhuang, Hebei, Peoples R China
[2] Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Hebei Key Lab Water Saving Agr, Shijiazhuang, Hebei, Peoples R China
[3] Univ Chinese Acad Sci, Int Coll, Beijing, Peoples R China
[4] Chinese Acad Sci, Inst Atmospher Phys, Climate Change Res Ctr, Beijing, Peoples R China
[5] Hebei Univ Agr, Coll Energy & Environm Engn, Zhangjiakou, Peoples R China
来源
关键词
North China Plain; CropSyst; evaporation losses; crop rotation; model evaluation; WATER-USE EFFICIENCY; WINTER-WHEAT; CROPPING SYSTEMS; CLIMATE-CHANGE; WEIGHING LYSIMETER; SIMULATION-MODEL; AQUACROP MODEL; GRAIN-YIELD; EVAPOTRANSPIRATION; IRRIGATION;
D O I
10.3389/fpls.2017.01667
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The North China Plain (NCP) is a major grain production zone that plays a critical role in ensuring China's food supply. Irrigation is commonly used during grain production; however, the high annual water deficit [precipitation (P) minus evapotranspiration (ET)] in typical irrigated cropland does not support double cropping systems (such as maize and wheat) and this has resulted in the steep decline in the water table (similar to 0.8m year(-1) at the Luancheng station) that has taken place since the 1970s. The current study aimed to adapt and check the ability of the CropSyst model (Suite-4) to simulate actual evapotranspiration (ETa), biomass, and grain yield, and to identify major evaporation (E) losses from winter wheat (WW) and summer maize (SM) rotations. Field experiments were conducted at the Luancheng Agro-ecosystem station, NCP, in 2010-2011 to 2012-2013. The CropSyst model was calibrated on wheat/maize (from weekly leaf area/biomass data available for 2012-2013) and validated onto measured ETa, biomass, and grain yield at the experimental station from 2010-2011 to 2011-2012, by using model calibration parameters. The revalidation was performed with the ETa, biomass, grain yield, and simulated ETa partition for 2008-2009 WW [ETa partition was measured by the Micro-lysimeter (MLM) and isotopes approach available for this year]. For the WW crop, E was 30% of total ETa; but from 2010-11 to 2013, the annual average E was similar to 40% of ETa for the WW and SM rotation. Furthermore, the WW and SM rotation from 2010-2011 to 2012-2013 was divided into three growth periods; (i) pre-sowing irrigation (PSI; sowing at field capacity) to emergence period (EP), (ii) EP to canopy cover period (CC) and (iii) CC to harvesting period (HP), and E from each growth period was similar to 10, 60, and 30%, respectively. In general, error statistics such as RMSE, Willmott's d, and NRMSE in the model evaluation for wheat ETa (maize ETa) were 38.3 mm, 0.81, and 9.24% (31.74 mm, 0.73, and 11.89%); for wheat biomass (maize biomass) they were 1.25 Mg ha(-1), 0.83, and 9.64% (0.78 Mg ha(-1), 0.96, and 7.96%); and for wheat grain yield (maize grain yield) they were 0.65 Mg ha(-1), 0.82, and 9.87% (0.2 Mg ha(-1), 0.99, and 3.79%). The results showed that CropSyst is a valid model that can be use with a reliable degree of accuracy for optimizing WW and SM grain yield production and water requirement on the NCP.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Nitrogen losses from fertilizers applied to maize, wheat and rice in the North China Plain
    Cai, GX
    Chen, DL
    Ding, H
    Pacholski, A
    Fan, XH
    Zhu, ZL
    NUTRIENT CYCLING IN AGROECOSYSTEMS, 2002, 63 (2-3) : 187 - 195
  • [32] Nitrogen losses from fertilizers applied to maize, wheat and rice in the North China Plain
    G. X. Cai
    D. L. Chen
    H. Ding
    A. Pacholski
    X. H. Fan
    Z. L. Zhu
    Nutrient Cycling in Agroecosystems, 2002, 63 : 187 - 195
  • [33] Contribution of Drought to Potential Crop Yield Reduction in a Wheat-Maize Rotation Region in the North China Plain
    HU Ya-nan
    LIU Ying-jie
    TANG Hua-jun
    XU Yin-long
    PAN Jie
    Journal of Integrative Agriculture, 2014, 13 (07) : 1509 - 1519
  • [34] Contribution of Drought to Potential Crop Yield Reduction in a Wheat-Maize Rotation Region in the North China Plain
    Hu Ya-nan
    Liu Ying-jie
    Tang Hua-jun
    Xu Yin-long
    Pan Jie
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2014, 13 (07) : 1509 - 1519
  • [35] Increased yield potential of wheat-maize cropping system in the North China Plain by climate change adaptation
    Wang, Jing
    Wang, Enli
    Yang, Xiaoguang
    Zhang, Fusuo
    Yin, Hong
    CLIMATIC CHANGE, 2012, 113 (3-4) : 825 - 840
  • [36] Ammonia loss potential and mitigation options in a wheat-maize rotation system in the North China Plain: A data synthesis and field evaluation
    Sha, Zhipeng
    Wang, Jingxia
    Ma, Xin
    Lv, Tiantian
    Liu, Xuejun
    Misselbrook, Tom
    AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2023, 352
  • [37] Increased yield potential of wheat-maize cropping system in the North China Plain by climate change adaptation
    Jing Wang
    Enli Wang
    Xiaoguang Yang
    Fusuo Zhang
    Hong Yin
    Climatic Change, 2012, 113 : 825 - 840
  • [38] Organic manure as an alternative to crop residues for no-tillage wheat-maize systems in North China Plain
    Dai, Xiaoqin
    Li, Yunsheng
    Ouyang, Zhu
    Wang, Huimin
    Wilson, G. V.
    FIELD CROPS RESEARCH, 2013, 149 : 141 - 148
  • [39] Effects of digested biogas slurry applicationmixed with irrigation water on nitrate leaching during wheat-maize rotation in the North China Plain
    Du, Huiying
    Gao, Wenxuan
    Li, Jiajia
    Shen, Shizhou
    Wang, Feng
    Fu, Li
    Zhang, Keqiang
    AGRICULTURAL WATER MANAGEMENT, 2019, 213 : 882 - 893
  • [40] Evaluating soil physical quality indicators of a Vertisol as affected by different tillage practices under wheat-maize system in the North China Plain
    Wang, Y. K.
    Zhang, Z. B.
    Jiang, F. H.
    Guo, Z. C.
    Peng, X. H.
    SOIL & TILLAGE RESEARCH, 2021, 209