Estimating evapotranspiration and yield of wheat and maize croplands through a remote sensing-based model
文献类型：期刊论文
| 作者 | Wang, Xingwang; Lei, Huimin2; Li, Jiadi; Huo, Zailin5; Zhang, Yongqiang4; Qu, Yanping3 |
| 刊名 | AGRICULTURAL WATER MANAGEMENT
 |
| 出版日期 | 2023-05-31 |
| 卷号 | 282页码:108294 |
| 关键词 | Evapotranspiration Gross primary production Yield Remote sensing Wheat and maize Crop water productivity |
| DOI | 10.1016/j.agwat.2023.108294 |
| 文献子类 | Article |
| 英文摘要 | Estimation of evapotranspiration (ET) and yield over cropland is essential for water resources management and food security. Particularly the estimation at long-term and regional scales still needs to be investigated. In this study, a remotely sensed and water-carbon coupled model was combined with a process-based crop growth simulation method to simultaneously estimate ET and yield. The developed model was tested for two of the most important crops (wheat and maize) with years of observations. Leaf area index determined by various remote sensing indices and individually calibrated parameters for wheat and maize were considered to improve crop ET and gross primary production (GPP) estimates. The parameters well reflected different physiological properties that C4 maize has a smaller stomatal conductance coefficient and a larger sensitivity in response to initial light than C3 wheat. Comparing with 20 years of measurements, the root mean square error (RMSE) of ET and GPP for winter wheat was 0.57 mm d-1 and 1.65 g C m- 2 d-1, and for maize were 0.80 mm d-1 and 2.92 g C m- 2 d-1, respectively. Besides, crop growth simulation including biomass accumulation and allocation agreed well with the measurements. Coefficient of determination was mostly larger than 0.66, and RMSE of yield was 554.7 and 1346.6 kg hm-2 for wheat and maize, respectively. Finally, the spatiotemporal crop water productivity (WP) of winter wheat and summer maize in the North China Plain during 2001-2018 were quantified. The increased WP of winter wheat while the larger WP of maize than that of wheat were discovered. The developed model helps to examine regional crop ET and yield and provides critical information on agricultural water management. |
| WOS关键词 | LEAF-AREA INDEX ; NORTH CHINA PLAIN ; GROSS PRIMARY PRODUCTION ; WATER-USE EFFICIENCY ; LIGHT USE EFFICIENCY ; WINTER-WHEAT ; GLOBAL EVAPOTRANSPIRATION ; STOMATAL CONDUCTANCE ; MODIS ; PRODUCTIVITY |
| WOS研究方向 | Agriculture ; Water Resources |
| WOS记录号 | WOS:000965142200001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200801]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.1 Qinghua Yuan, Beijing 100084, Peoples R China 2.China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China 5.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Xingwang,Lei, Huimin,Li, Jiadi,et al. Estimating evapotranspiration and yield of wheat and maize croplands through a remote sensing-based model[J]. AGRICULTURAL WATER MANAGEMENT,2023,282:108294. |
| APA | Wang, Xingwang,Lei, Huimin,Li, Jiadi,Huo, Zailin,Zhang, Yongqiang,&Qu, Yanping.(2023).Estimating evapotranspiration and yield of wheat and maize croplands through a remote sensing-based model.AGRICULTURAL WATER MANAGEMENT,282,108294. |
| MLA | Wang, Xingwang,et al."Estimating evapotranspiration and yield of wheat and maize croplands through a remote sensing-based model".AGRICULTURAL WATER MANAGEMENT 282(2023):108294. |
入库方式： OAI收割
来源：地理科学与资源研究所
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