Tailoring wheat agronomic management to ENSO phases to manage climate variability in Australia at 5-minute resolution
文献类型:期刊论文
作者 | Cao, Juan1,3; Zhang, Zhao1; Xie, Jun1; Luo, Yuchuan4; Han, Jichong1; Mitchell, Patrick J.2; Tao, Fulu3,5 |
刊名 | AGRICULTURAL AND FOREST METEOROLOGY
![]() |
出版日期 | 2024-09-15 |
卷号 | 356页码:110168 |
关键词 | Climate variability Crop model Crop yield ENSO phase Management practice |
DOI | 10.1016/j.agrformet.2024.110168 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | The El Nino o Southern Oscillation (ENSO) significantly influences wheat yield variability in Australia. Tailoring crop agronomic managements to ENSO phases can effectively manage climate variability and reduce crop yield variability. Previous studies have mostly been conducted at a site scale, whose results are hardly extrapolated to a large heterogeneous area. Here, the CERES-Wheat model was calibrated at 5-minute grid scale and applied to simulate wheat yield and adaptation measures under different ENSO phases across wheat cultivation areas in Australia. The results show that the calibrated gridded model can capture wheat phenology and yield variations reasonably. Wheat yields are significantly affected by ENSO-induced changes in precipitation and maximum temperature. During El Nino o phase, more dry days, hot days, frost days, water stress, and lower LAI (Leaf Area Index) and ET (Evapotranspiration) lead to an obvious yield decline, especially in southeastern Australia. Wheat sown in the mid-season (Day of Year, DOY of 144) increase yield by 433.5 + 25.6 kg/ha (27.9 + 1.6%) during El Nino, o, while late-season sowing is more suitable for Neutral (DOY of 153.4) and La Nina a phases (DOY of 147.5). A higher nitrogen rate is needed during La Nina a (106 kg/ha) and Neutral (106.5 kg/ha) compared to El Nino o (94.5 kg/ha) phase. Optimizing varieties is the most effective option and may increase yield by 624+20.9 +20.9 kg/ha, 562.9 + 21.5 kg/ha, and 614.3 + 21 kg/ha for Neutral, El Nino, o, and La Nina a phases, respectively, over traditional farming practices, respectively. The wheat varieties with a larger photoperiod sensitivity and shorter grain-filling duration are favorable during El Nino. o. Our findings demonstrate a powerful model-based decision support system in tailoring agronomic management practices to ENSO phases and local environments at a high resolution. |
WOS关键词 | SOUTHERN-OSCILLATION ENSO ; WINTER-WHEAT ; CERES-WHEAT ; EL-NINO ; YIELD IMPROVEMENT ; GRAIN-YIELD ; ADAPTATION ; PHENOLOGY ; NITROGEN ; PRECIPITATION |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:001276159500001 |
出版者 | ELSEVIER |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/206933] ![]() |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
通讯作者 | Tao, Fulu |
作者单位 | 1.Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing 100875, Peoples R China 2.Mitchell, Patrick J.] CSIRO Agr & Food, Sandy Bay, Tas, Australia 3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst, Natl Observat & Res Stn, Chongqing 400715, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Juan,Zhang, Zhao,Xie, Jun,et al. Tailoring wheat agronomic management to ENSO phases to manage climate variability in Australia at 5-minute resolution[J]. AGRICULTURAL AND FOREST METEOROLOGY,2024,356:110168. |
APA | Cao, Juan.,Zhang, Zhao.,Xie, Jun.,Luo, Yuchuan.,Han, Jichong.,...&Tao, Fulu.(2024).Tailoring wheat agronomic management to ENSO phases to manage climate variability in Australia at 5-minute resolution.AGRICULTURAL AND FOREST METEOROLOGY,356,110168. |
MLA | Cao, Juan,et al."Tailoring wheat agronomic management to ENSO phases to manage climate variability in Australia at 5-minute resolution".AGRICULTURAL AND FOREST METEOROLOGY 356(2024):110168. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。