Evapotranspiration partitioning and crop coefficient of maize in dry semi-humid climate regime
Evapotranspiration partitioning and crop coefficient of maize in dry semi-humid climate regime
复制标题
干旱半湿润气候条件下玉米蒸散发分配及作物系数
DOI:
10.1016/j.agwat.2020.106164
复制
发表时间:
2020-06
影响因子:
6.7
通讯作者:
Wang Xiaowen
中科院分区:
文献类型:
--
作者:
Wang Yunfei;Cai Huanjie;Yu Lianyu;Peng Xiongbiao;Xu Jiatun;Wang Xiaowen
Guanzhong Plain is one of the most critical maize production areas in Northwest China. It is essential to study the maize irrigation requirement and improve water use efficiency in this area. There is a lack of knowledge about the evaporation portioning and irrigation requirements of crops grown in this region. Based on evapotranspiration observed in a maize cropland using the eddy covariance (EC) technique during four growing seasons (2013, 2014, 2015, and 2017), the seasonal variation of evapotranspiration components and the crop coefficients (Kc) for summer maize in a dry semi-arid area were determined. Energy partitioning has an obvious seasonal variation during growing seasons. The pattern of evapotranspiration partitioning has a clear seasonal variation with the development of the canopy. The pattern of the ratio of transpiration (T) to evapotranspiration (ET) is consistent with the canopy development. For four growing seasons, on a seasonal basis, the ratios ofTtoETandEtoETwere comparable. In addition, the locally developed crop coefficients were 0.57, 1.01, and 0.50 for the initial, mid, and late stages, respectively. The single crop coefficient derived from local datasets can provide a good prediction ofET. TheKcvalues reported in this paper were consistent with previous studies conducted in other regions using EC systems but were generally lower than theKcvalues derived fromETdata measured by lysimeters, the Bowen Ratio Energy Balance system, and the soil water balance method. This indicates that the variability of the locally developed crop coefficient caused by measurement methods is higher than the variability caused by climate.
登录
查看更多内容
DOI:
10.5772/18352
发表时间:
2011-11
期刊:
--
影响因子:
--
作者:
J. Payero;S. Irmak
通讯作者:
J. Payero;S. Irmak
影响因子:
6.7
作者:
Wang Shangtao;Zhu Gaofeng;Xia Dunsheng;Ma Jinzhu;Han Tuo;Ma Ting;Zhang Kun;Shang Shasha
通讯作者:
Shang Shasha
影响因子:
11.6
作者:
B. Medlyn;R. Duursma;D. Eamus;D. Ellsworth;I. Colin Prentice;C. Barton;K. Crous;P. Angelis;
通讯作者:
B. Medlyn;R. Duursma;D. Eamus;D. Ellsworth;I. Colin Prentice;C. Barton;K. Crous;P. Angelis;
影响因子:
6.7
作者:
G. Piccinni;Jonghan Ko;T. Marek;T. Howell
通讯作者:
G. Piccinni;Jonghan Ko;T. Marek;T. Howell
DOI:
10.1063/1.3128494
发表时间:
2014-02
期刊:
--
影响因子:
--
作者:
J. Monteith;W. E. Reifsnyder
通讯作者:
J. Monteith;W. E. Reifsnyder