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生态学杂志 ›› 2023, Vol. 42 ›› Issue (5): 1264-1272.doi: 10.13292/j.1000-4890.202305.010

• 技术与方法 • 上一篇    下一篇

DSSAT模型对吉林省梨树县部分主要作物的适用性

刘涛1,2,万能涵1,张镇涛1,王晓煜1,孙爽1,刘志娟1,赵锦1,杨晓光1*


  

  1. 1中国农业大学资源与环境学院, 北京 100193; 2天津市气候中心, 天津 300074)

  • 出版日期:2023-05-10 发布日期:2023-05-05

Adaptability of DSSAT crop model to main crops in Lishu County, Jilin Province.

LIU Tao1,2, WAN Nenghan1, ZHANG Zhentao1, WANG Xiaoyu1, SUN Shuang1, LIU Zhijuan1, ZHAO Jin1, YANG Xiaoguang1*#br#

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  1. (1College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; 2Tianjin Climate Center, Tianjin 300074, China).

  • Online:2023-05-10 Published:2023-05-05

摘要: 明确DSSAT作物模型对东北地区主要作物生长发育和产量模拟适用性,对进一步开展东北地区DSSAT模型应用推广研究进而保障粮食安全具有重要意义。以吉林省梨树县春小麦、大豆、谷子和马铃薯4种主要作物为研究对象,利用3年田间试验资料对DSSAT模型进行了系统评价。结果表明:DSSAT模型中春小麦、大豆、谷子和马铃薯的生育期、叶面积指数、地上生物量、茎部生物量、叶片生物量和产量的模拟值与实测值的决定系数分别为0.94~0.99、0.92~0.99、0.96~0.99和0.97~0.98,归一化均方根误差分别为12.21%~26.01%、1.67%~33.24%、1%~15.34%和3.2%~28.08%,D值均在0.994以上;其中,春小麦生育期及产量拟合程度最高,其次为叶面积指数;大豆及谷子产量及叶面积指数拟合程度最高,其次为生育期;马铃薯生育期及产量拟合程度最高,其次为叶面积指数;而作物叶面积指数、叶片生物量、茎部生物量及地上部总生物量的生长动态过程模拟结果显示,春小麦、大豆、谷子和马铃薯的决定系数均在0.84以上,归一化均方根误差分别为24.5%~38.2%、28.7%~47.4%、9.2%~26.3%和28.7%~45.1%;春小麦茎部生物量拟合最高,叶面积指数拟合效果最低;大豆及马铃薯叶面积指数拟合最高,叶片生物量拟合效果最低;谷子叶片生物量拟合最高,茎部生物量拟合效果最低。总体来说,经过调参校准后的DSSAT模型可以较好模拟4种作物的生育期、叶面积指数、地上部各部生物量和产量,未来可以作为吉林省主要作物生长模拟相关研究的重要工具。


关键词: 主要作物, DSSAT, 模拟验证, 适用性评价

Abstract: Clarifying the applicability of DSSAT model to the growth and yield simulation of main crops in Northeast China is of great significance to further promote its application in Northeast China and ensure food security. An experiment was conducted based on four kinds of main crops in Lishu County, Jilin Province, including spring wheat, soybean, millet, and potato. The applicability of DSSAT model was evaluated systematically with three years data from field experiment. The results showed that the determination coefficients of simulated and measured values of growth period, leaf area index (LAI), aboveground biomass, stem biomass, leaf biomass, and yield of spring wheat, soybean, millet and potato in DSSAT model were 0.94-0.99, 0.92-0.99,  0.96-0.99, and 0.97-0.98, respectively. The normalized root mean square errors were 12.21%-26.01%, 1.67%-33.24%, 1%-15.34%,  and 3.2%-28.08%, respectively. values were above 0.994. The fitting degree of growth period and yield for spring wheat was the highest, followed by LAI. The fitting degree of yield and LAI for soybean and millet was the highest, followed by growth period. The fitting degree of growth period and yield for potato was the highest, followed by LAI. The growth dynamic simulation of LAI, leaf biomass, stem biomass, and total aboveground biomass showed that the determination coefficients for spring wheat, soybean, millet and potato were more than 0.84, and the normalized root mean square errors were 24.5%-38.2%, 28.7%-47.4%, 9.2%-26.3%, and 28.7%-45.1%, respectively. The fitting degree of stem biomass for spring wheat was the highest, and that of LAI was the lowest. The fitting degree of LAI for soybean and potato was the highest, and that of leaf biomass was the lowest. The fitting effect of millet leaf biomass was the highest and that of stem biomass was the lowest. In general, the validated DSSAT model can better simulate the growth period, LAI, aboveground biomass and yield of the four kinds of crops. In the future, it can be used as an important tool in the related research about the growth simulation of major crops in Jilin Province.


Key words: main crop, DSSAT, simulation verification, applicability evaluation.