Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions
文献类型：期刊论文
| 作者 | Yang, Xuening1,4; Zhang, Xuanze1; Zhao, Zhigan3; Ma, Ning1; Tian, Jing1; Xu, Zhenwu1; Zhang, Junmei2; Zhang, Yongqiang1 |
| 刊名 | EUROPEAN JOURNAL OF AGRONOMY
 |
| 出版日期 | 2025-03-01 |
| 卷号 | 164页码:127494 |
| 关键词 | Crop model Climate variability Global sensitivity analysis Maize Parameterization |
| ISSN号 | 1161-0301 |
| DOI | 10.1016/j.eja.2024.127494 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Sensitivity analysis is crucial for identifying key crop model parameters to improve parameterization efficiency, but climate conditions can affect sensitivity, leading to inaccurate calibration if different climate conditions are not considered. This study uses the extended Fourier amplitude sensitivity test to identify sensitive cultivar parameters in the Agricultural Production System Simulator (APSIM-Maize), focusing on maize yield in a semiarid region. Regression analysis shows that rainfall and maximum temperature significantly impact the sensitivity of maize yield to the transpiration efficiency coefficient ( transp_eff_cf ) (r =-0.66 and 0.63, p = 0.001 and 0.003, respectively) and grain growth rate ( grin_gth_rate ) (r = 0.74 and-0.70, p = 0.0002 and 0.0005, respectively). The sensitivity of maize yield to the thermal time from emergency to the end of juvenile ( tt_e- merg_to_endjuv) shows varying sensitivity across years ( ST i = 0.03-0.26), influenced by maximum temperature. Our results demonstrated that transp_eff_cf and grain_gth_rate should be adjusted cautiously, especially in drier or warmer conditions. The implications of our study extend to providing valuable support for the calibration of APSIM-Maize cultivar parameters in response to climate variability. |
| URL标识 | 查看原文 |
| WOS关键词 | NORTH CHINA PLAIN ; YIELD PREDICTION ; GROWTH-MODEL ; CROP YIELD ; WATER-USE ; PRODUCTIVITY ; SYSTEMS ; UNCERTAINTY ; WHEAT ; AGRICULTURE |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:001400202300001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211309]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Zhang, Yongqiang |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Dalat Banner Agr & Anim Husb Technol Extens Ctr, Ordos 014300, Inner Mongolia, Peoples R China 3.CSIRO Agr & Food, GPO Box 1700, Canberra, ACT 2601, Australia; 4.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yang, Xuening,Zhang, Xuanze,Zhao, Zhigan,et al. Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions[J]. EUROPEAN JOURNAL OF AGRONOMY,2025,164:127494. |
| APA | Yang, Xuening.,Zhang, Xuanze.,Zhao, Zhigan.,Ma, Ning.,Tian, Jing.,...&Zhang, Yongqiang.(2025).Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions.EUROPEAN JOURNAL OF AGRONOMY,164,127494. |
| MLA | Yang, Xuening,et al."Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions".EUROPEAN JOURNAL OF AGRONOMY 164(2025):127494. |
入库方式： OAI收割
来源：地理科学与资源研究所
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