晋北两种饲草作物的APSIM模型参数敏感性分析

doi:10.11733/j.issn.1007-0435.2023.10.024

草地学报 ›› 2023, Vol. 31 ›› Issue (10): 3114-3122.DOI: 10.11733/j.issn.1007-0435.2023.10.024

晋北两种饲草作物的APSIM模型参数敏感性分析

侯青青^1,2, 成华强^1,2, 朱敏^1,2, 杨轩^1,2, 夏方山^1,2

1. 山西农业大学草业学院, 山西太谷 030801;
2. 草地生态保护与乡土草种质创新山西省重点实验室, 山西右玉 037200

收稿日期:2023-04-10 修回日期:2023-08-01 出版日期:2023-10-15 发布日期:2023-11-02
通讯作者: 杨轩,E-mail:yangxuan2019@sxau.edu.cn
作者简介:侯青青(1998-),女,汉族,四川南充人,硕士研究生,主要从事田间粮草耦合与模型应用研究,E-mail:qqhou0924@163.com
基金资助:
山西农业大学科技创新基金项目（2020BQ26）；国家自然科学基金青年科学基金项目（32001404）资助

Parameter Sensitivity Analysis on Submodules of APSIM to Two Forages in Northern Shanxi Province

HOU Qing-qing^1,2, CHENG Hua-qiang^1,2, ZHU Min^1,2, YANG Xuan^1,2, XIA Fang-shan^1,2

1. College of Grassland Science, Shanxi Agricultural University, Taigu, Shanxi Province 030801, China;
2. Shanxi Key Laboratory of Grassland Ecological Protection and Native Grass Germplasm Innovation, Youyu, Shanxi Province 037200, China

Received:2023-04-10 Revised:2023-08-01 Online:2023-10-15 Published:2023-11-02

摘要/Abstract

摘要： 为有效识别影响晋北地区主要饲草作物产量形成的关键参数，简化模拟过程。本研究选用秣食豆（Glycine max L.）、饲用燕麦（Avena sativa L.）为研究对象，结合田间试验数据与历史气象资料，利用OAT法量化APSIM作物子模块在雨养、实际和潜在产量水平下产量指标对各气象、作物参数的敏感性。结果显示，不同产量水平下，影响秣食豆产量较为敏感的参数有：温度（（相对敏感度Relative sensitivity，RS）为1.37~1.84））、辐射利用效率（0.59~1.34）、生长期结束至初花期积温（0.45~0.65）；影响饲用燕麦产量较为敏感的参数有：降水量（0.51）、温度（0.70~0.63）、辐射（0.84）、春化敏感性指数（1.71~2.91）、辐射利用效率（0.87~1.06）、生长期结束至初花期积温（0.95~1.04）。本研究通过敏感性分析，得到对饲草产量形成的强敏感性参数，有助于模型结构优化与参数校正，以积极应用于后续研究，同时可为相近地区的农牧业资源高效利用提供参考。

关键词: 晋北地区, APSIM, 气候参数, 作物参数, 产草量, 敏感性分析

Abstract: This study aimed to effectively identify the key parameters which affect the yield formation of main forage crops for simplifying the simulation process in northern Shanxi. We selected feed soybean (Glycine max (L.)) and forage oats (Avena sativa L.) as the test objects,combined field experimental observation with historical meteorological data derived from Youyu Loess Plateau Grassland Ecosystem Positioning Observation and Research Station in Shanxi Province. Based on three yield levels (rain-fed,actual and potential),the OAT (One at a time) method was used to quantify the sensitivity of various meteorological and crop parameters of APSIM crop submodules on yield indicators. Results showed that under the different yield levels,the most sensitive parameters affecting the yield of feed soybean were temperature (Relative Sensitivity,RS=1.37~1.84),radiation use efficiency (0.59~1.34),and the accumulated temperature from floral initiation to end of growth period (0.45~0.65). The relatively sensitive parameters affecting the yield of forage oats included precipitation (0.51),temperature (0.70~0.63),radiation (0.84),vernalization sensitivity index (1.71~2.91),radiation use efficiency (0.87~1.06),and accumulated temperature from floral initiation to the end of growth period (0.95~1.04). Parameter sensitivity analysis could screen out the parameters with a high sensitivity to the formation of forage yields. The results of the current study would helpful for optimization on the structure and parameter validation of crop model,and could be actively applied in further research works;it would also provide a reference for the efficient utilization of agricultural and animal husbandry resources in similar regions.

Key words: Northern Shanxi, APSIM, Climatic parameters, Crop parameters, Forage yield, Sensitivity analysis

中图分类号:

S512.6

侯青青, 成华强, 朱敏, 杨轩, 夏方山. 晋北两种饲草作物的APSIM模型参数敏感性分析[J]. 草地学报, 2023, 31(10): 3114-3122.

HOU Qing-qing, CHENG Hua-qiang, ZHU Min, YANG Xuan, XIA Fang-shan. Parameter Sensitivity Analysis on Submodules of APSIM to Two Forages in Northern Shanxi Province[J]. Acta Agrestia Sinica, 2023, 31(10): 3114-3122.

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参考文献

[1] LIU X Y,ZHANG Y,LI G Z,et al. Carbon isotopes of C3 herbs correlate with temperature on removing the influence of precipitation across a temperature transect in the agro-pastoral ecotone of northern China[J]. Ecology and Evolution,2017,7(24):10582-10591
[2] 任亮,孙芳,丁玎. 机会成本视角下北方农牧交错带生态优先兼顾农业产业发展策略[J]. 草地学报,2021,29(6):1294-1300
[3] CHEN W,LI A J,HU Y G,et al. Exploring the long-term vegetation dynamics of different ecological zones in the farming pastoral ecotone in northern China[J]. Environmental Science and Pollution Research 2021,28(22):27914-27932
[4] 林长存,王堃,孙钰茗. 中国北方农牧交错带中段近60年气温序列变化研究[J]. 草地学报,2016,24(4):747-753
[5] LIU M Z,JIA Y G,ZHAO J J,et al. Revegetation projects significantly improved ecosystem service values in the agro-pastoral ecotone of northern China in recent 20 years[J]. Science of the Total Environment,2021,788,147756
[6] 马雅丽,郭建平,栾青,等. 晋北农牧交错带农业旱灾脆弱性评价[J]. 灾害学,2020,35(3):75-81
[7] 高树琴,段瑞,王竑晟,等. 北方农牧交错带在保障国家大粮食安全中发挥重要作用[J]. 中国科学院院刊,2021,36(6):643-651
[8] 杨轩,贾鹏飞,侯青青,等. 北方农牧交错带气候变化对粮草轮作生产的影响[J]. 山西农业大学学报(自然科学版),2022,42(1):77-89
[9] CHAKI A K,GAYDON D S,DALAL R C,et al. How we used APSIM to simulate conservation agriculture practices in the rice-wheat system of the Eastern Gangetic Plains[J]. Field Crops Research,2022(275):108344
[10] 韩雪,刘强,王钧,等. 基于APSIM模型的气候变化条件下播期对旱地春小麦产量影响研究[J]. 作物研究,2022,36(6):499-506
[11] XU X,SUN C,HUANG G H,et al. Global sensitivity analysis and calibration of parameters for a physically- based agrohydrological model[J]. Environmental Modelling and Software,2016(83):88-102
[12] HOLZWORTH D P,HUTH N I,DEVOIL P G,et al. APSIM-Evolution towards a new generation of agricultural systems simulation[J]. Environmental Modelling and Software,2014(62):327-350
[13] 奥海玮,谢应忠,李永宏,等. APSIM模型对宁夏海原地区草田轮作系统的适应性[J]. 草地学报,2016,24(1):146-155
[14] SINCLAIR T R. Water and nitrogen limitations in soybean grain production I. Model development[J]. Field Crops Research,1986,15(2):125-141
[15] 何亮,侯英雨,赵刚,等. 基于全局敏感性分析和贝叶斯方法的WOFOST作物模型参数优化[J]. 农业工程学报,2016,32(2):169-179
[16] 宋明丹,冯浩,李正鹏,等. 基于Morris和EFAST的CERES-Wheat模型敏感性分析[J]. 农业机械学报,2014,45(10):124-131,166
[17] 邢会敏,相诗尧,徐新刚,等. 基于EFAST方法的AquaCrop作物模型参数全局敏感性分析[J]. 中国农业科学,2017,50(1):64-76
[18] KRISHNAN P,MAITY P P,KUNDU M. Sensitivity analysis of cultivar parameters to simulate wheat crop growth and yield under moisture and temperature stress conditions[J]. Heliyon,2021,7(7):34-35
[19] 张荣荣,宁晓菊,秦耀辰,等. 1980年以来河南省主要粮食作物产量对气候变化的敏感性分析[J]. 资源科学,2018,40(1):137-149
[20] WANG J,WANG E,YIN H,et al. Declining yield potential and shrinking yield gaps of maize in the North China Plain[J]. Agricultural and Forest Meteorology,2014,195(2):89-101
[21] WANG J,WANG E,YANG X,et al. Increased yield potential of wheat-maize cropping system in the North China Plain by climate change adaptation[J]. Climatic Change,2012,113(3-4):825-840
[22] 赵俊芳,李宁,候英雨,等. 基于APSIM模型评估北方八省春玉米生产对气候变化的响应[J]. 中国农业气象,2018,39(2):108-118
[23] 马瑞丽,李广,王钧,等. 基于APSIM模型的不同施肥处理下春玉米产量模拟及气候敏感性分析[J]. 玉米科学,2022,30(5):116-121
[24] ZHANG X C. Calibration,refinement and application of the WEPP model for simulation climatic impact on wheat production[J]. Transactions of the American Society of Agricultural Engineers,2004,47(4):1075-1085
[25] 邓晓垒,董莉霞,李广,等. 西北春麦区Apsim-Wheat模型参数全局敏感性分析[J]. 麦类作物学报,2022,42(6):746-754
[26] 米荣娟,聂志刚. 基于EFAST法的APSIM小麦产量形成参数敏感性分析[J]. 甘肃农业大学学报,2021,56(4):23-30
[27] 刘金龙,张沛. 山西省右玉县的生态建设及其启示[J]. 山西农业大学学报(社会科学版),2021,20(1):91-99
[28] FILLERY I,GREGORY P J,BOWDEN J W. Performance of the APSIM-wheat model in Western Australia[J]. Field Crops Research,1998,57(2):163-179
[29] ASSENG S,KEULEN H V,STOL W. Performance and application of the APSIM-wheat model in the Netherlands[J]. European Journal of Agronomy,2000,12(1):37-54
[30] SUN H,ZHANG X,WANG E,et al. Assessing the contribution of weather and management to the annual yield variation of summer maize using APSIM in the North China Plain[J]. Field Crops Research,2016(194):94-102
[31] 戴彤,王靖,赫迪,等.基于APSIM模型的气候变化对西南春玉米产量影响研究[J]. 资源科学,2016,38(1):155-165
[32] 王连喜,张阳,李琪,等. 作物模型参数敏感性分析现状与展望[J]. 气象科技,2018,46(2):382-389
[33] 张宁,张庆国,于海敬,等. 作物生长模拟模型的参数敏感性分析[J]. 浙江大学学报(农业与生命科学版),2018,44(1):107-115
[34] VAN OIJEN M,CAMERON D R,BUTTERBACH-BAHL K,et al. A Bayesian framework for model calibration,comparison and analysis:Application to four models for the biogeochemistry of a Norway spruce forest[J]. Agricultural and Forest Meteorology,2011,151(12):1609-1621
[35] 何亮,赵刚,靳宁,等. 不同气候区和不同产量水平下APSIM-Wheat模型的参数全局敏感性分析[J]. 农业工程学报,2015,31(14):148-157
[36] 马雅丽,郭建平,赵俊芳. 晋北农牧交错带作物气候生产潜力分布特征及其对气候变化的响应[J]. 生态学杂志,2019,38(3):818-827
[37] ZHAO G,BRYAN B A,SONG X D. Sensitivity and uncertainty analysis of the APSIM-wheat model:Interactions between cultivar,environmental,and management parameters[J]. Ecological Modelling,2014(247):1-11
[38] 王柳,熊伟,温小乐,等. 温度降水等气候因子变化对中国玉米产量的影响[J]. 农业工程学报,2014,30(21):138-146
[39] 杨轩,贾鹏飞,侯青青,等. 基于APSIM模型的未来气候中燕麦产量变化及对水分胁迫的敏感性[J]. 中国草地学报,2022,44(10):20-29
[40] ZHANG Y,FENG L P,WANG J,et al. Using APSIM to explore wheat yield response to climate change in the North China Plain:the predicted adaptation of wheat cultivar types to vernalization.[J]. The Journal of Agricultural Science,2013,151(6):836-848

晋北两种饲草作物的APSIM模型参数敏感性分析

Parameter Sensitivity Analysis on Submodules of APSIM to Two Forages in Northern Shanxi Province

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