Comparing three models to estimate transpiration of desert shrubs
文献类型：期刊论文
| 作者 | Xu, Shiqin1,2,5; Yu, Zhongbo1,2; Ji, Xibin3; Sudicky, Edward A.1,4 |
| 刊名 | JOURNAL OF HYDROLOGY
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| 出版日期 | 2017-07-01 |
| 卷号 | 550页码:603-615 |
| 关键词 | Stem sap flow Phreatophyte shrub Temporal scale Eco-hydrological processes |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2017.05.027 |
| 通讯作者 | Yu, Zhongbo(zyu@hhu.edu.cn) ; Ji, Xibin(xuanzhij@ns.lzb.ac.cn) |
| 英文摘要 | The role of environmental variables in controlling transpiration (Es) is an important, but not well understood, aspect of transpiration modeling in arid desert regions. Taking three dominant desert shrubs, Haloxylon ammodendron, Nitraria tangutorum, and Calligonum mongolicum, as examples, we aim to evaluate the applicability of three transpiration models, i.e. the modified Jarvis-Stewart model (MJS), the simplified process-based model (BTA), and the artificial neural network model (ANN) at different temporal scales. The stem sap flow of each species was monitored using the stem heat balance approach over both the 2014 and 2015 main growing seasons. Concurrent environmental variables were also measured with an automatic weather station. The ANN model generally produced better simulations of E, than the MJS and BTA models at both hourly and daily scales, indicating its advantage in solving complicated, nonlinear problems between transpiration rate and environmental driving forces. The solar radiation and vapor pressure deficit were crucial variables in modeling E-c for all three species. The performance of the MJS and ANN models was significantly improved by incorporating root-zone soil moisture. We also found that the difference between hourly and daily fitted parameter values was considerable for the MJS and BTA models. Therefore, these models need to be recalibrated when applied at different temporal scales. This study provides insights regarding the application and performance of current transpiration models in arid desert regions, and thus provides a deeper understanding of eco-hydrological processes and sustainable ecosystem management at the study site. (C) 2017 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORKS ; JARVIS-STEWART MODEL ; STAND-SCALE TRANSPIRATION ; STOMATAL CONDUCTANCE ; HYDRAULIC REDISTRIBUTION ; NIGHTTIME TRANSPIRATION ; SURFACE CONDUCTANCE ; CANOPY CONDUCTANCE ; WATER-BALANCE ; SOIL-WATER |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000404816000047 |
| 出版者 | ELSEVIER SCIENCE BV |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557722 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Yu, Zhongbo; Ji, Xibin |
| 作者单位 | 1.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China 2.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China 3.Chinese Acad Sci, Linze Inland River Basin Res Stn, Lab Inland River Ecohydrol, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China 4.Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON N2L 3G1, Canada 5.1 Xikang Rd, Nanjing 210098, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Shiqin,Yu, Zhongbo,Ji, Xibin,et al. Comparing three models to estimate transpiration of desert shrubs[J]. JOURNAL OF HYDROLOGY,2017,550:603-615. |
| APA | Xu, Shiqin,Yu, Zhongbo,Ji, Xibin,&Sudicky, Edward A..(2017).Comparing three models to estimate transpiration of desert shrubs.JOURNAL OF HYDROLOGY,550,603-615. |
| MLA | Xu, Shiqin,et al."Comparing three models to estimate transpiration of desert shrubs".JOURNAL OF HYDROLOGY 550(2017):603-615. |
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来源：寒区旱区环境与工程研究所
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