中国农业气象 ›› 2023, Vol. 44 ›› Issue (09): 805-819.doi: 10.3969/j.issn.1000-6362.2023.09.005

• 农业生物气象栏目 • 上一篇    下一篇

基于DSSAT模型的关中地区冬小麦单产模拟及其影响因子

陈佳俊,史晓亮,丁皓,史孟琦   

  1. 西安科技大学测绘科学与技术学院,西安 710054
  • 收稿日期:2022-10-21 出版日期:2023-09-20 发布日期:2023-09-12
  • 通讯作者: 史晓亮,博士,副教授,主要从事资源环境遥感研究。 E-mail:xiaoliangshi@xust.edu.cn
  • 作者简介:陈佳俊,E-mail:21210226071@stu.xust.edu.cn
  • 基金资助:
    国家自然科学基金(52079103)

Simulation of Winter Wheat Yields in Guanzhong Region Based on DSSAT Model and Its Influencing Factors

CHEN Jia-jun, SHI Xiao-liang, DING Hao, SHI Meng-qi   

  1. College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China
  • Received:2022-10-21 Online:2023-09-20 Published:2023-09-12

摘要: 基于陕西关中地区冬小麦种植区域内2个田间试验点的大田试验和均匀分布的11个气象站点逐日气象等数据,利用DSSAT模型确定冬小麦品种遗传参数,继而模拟2001−2019年各站点冬小麦的关键物候期和单产,并分别运用M−K检验与Sen趋势分析法从站点和区域尺度揭示其时空演变特征与规律。在此基础上,利用灰色关联法和多元线性回归分析法,探究各生长阶段影响模拟单产的敏感气象因子及其贡献率。结果表明:(1)冬小麦开花期、成熟期和单产模拟结果的RRMSE平均值在杨凌(关中平原)田间试验点分别为0.91%、0.98%和7.87%,在长武(渭北旱塬)田间试验点分别为2.39%、1.35%和9.30%。区域物候模拟关中平原和渭北旱塬的冬小麦开花期和成熟期RRMSE分别为3.2%和3.0%,R2分别为0.71和0.73,区域单产的RRMSE分别为23.6%和11.2%。(2)武功站冬小麦播种−开花期和成熟期呈现推迟趋势,速率分别为0.70d·10a−1和0.22d·10a−1,而在其余站点均表现为提前趋势;关中平原和渭北旱塬各站点播种−开花期提前趋势分别达到2.30d·10a−1、1.20d·10a−1,播种−成熟期提前趋势均为0.60d·10a−1,关中平原物候期提前趋势高于渭北旱塬。模拟单产在蒲城、渭城站呈减少趋势,而在其余站点则表现为增加趋势;区域单产最低值和最高值分别出现在2013年和2017年。(3)多数站点日平均气温、日最低气温的增加在冬前生长期会促进冬小麦增产;日最高气温和总降水量的增加在越冬期对增产贡献较大;在返青抽穗期日最高气温升高会导致冬小麦严重减产,但相对湿度增加则会促进增产;多数站点日平均气温、日最低气温和日最高气温的增加在灌浆成熟期都会导致冬小麦减产。温度是影响关中地区冬小麦产量的主控因子,并在不同生长阶段对产量的影响差异较大。

关键词: DSSAT, 关中地区, 气象因子, 物候期, 冬小麦产量

Abstract: Based on the field experiments of two field experiment sites and the daily meteorological data of 11 meteorological stations evenly distributed in the winter wheat planting area of Guanzhong region in Shaanxi Province, the DSSAT model was used to determine the genetic parameters of winter wheat cultivars, and then the key phenological periods and yield of winter wheat at each station from 2001 to 2019 were simulated. The M−K test and the Sen trend analysis method were used to reveal the spatial and temporal evolution characteristics and laws from the station and regional scales. On this basis, the gray correlation method and multiple linear regression analysis method were used to explore the sensitive meteorological factors and their contribution rates affecting the simulated yield at each growth period. The results showed that: (1) the average RRMSE values of winter wheat flowering period, mature period and yield simulation results were 0.91%,0.98% and 7.87% in Yangling (Guanzhong Plain) field experiment site, and 2.39%,1.35% and 9.30% in Changwu (Weibei Dryland) field experiment site. In the regional phenological simulation, the RRMSE of winter wheat in the Guanzhong Plain and the Weibei Dryland were 3.2% and 3.0% at the flowering and mature periods, R2 were 0.71 and 0.73, and the RRMSE of regional yield were 23.6% and 11.2%, respectively.(2) The sowing to flowering period and mature period of winter wheat in Wugong station showed a delayed trend, and the rates were 0.70d·10y−1 and 0.22d·10y−1, respectively, while the other stations showed an earlier trend. The advance trend of phenological period in Guanzhong Plain was higher than that in Weibei Dryland, and the advance trend from sowing to flowering period reaches 2.30d·10y−1 and 1.20d·10y−1 respectively, and the advance trend from sowing to maturity was 0.60d·10y−1. The simulated yields showed a decreasing trend at Pucheng and Weicheng stations, while an increasing trend at other stations. The lowest and highest values of regional yield appeared in 2013 and 2017, respectively. (3) The increase of daily average temperature and daily minimum temperature in most stations would promote the increase of winter wheat yield in the pre-winter growth period. The increase of daily maximum temperature and total precipitation contributed greatly to the increase of yield in the overwintering period. The increase of daily maximum temperature at greening and heading period would lead to serious yield decrease of winter wheat, but the increase of daily relative humidity would promote the increase of yield. The increase of daily average temperature, daily minimum temperature and daily maximum temperature at most stations would lead to a decrease in winter wheat yield during the filling and mature period. Temperature was the main controlling factor affecting the yield of winter wheat in Guanzhong region, and its influence on yield varies greatly at different growth periods.

Key words: DSSAT, Guanzhong region, Meteorological factors, Phenological period, Winter wheat yield