Comparisons of three scaling up methods to estimate stand transpiration of a xerophytic shrub (Salix psammophila) in northern China
文献类型：期刊论文
| 作者 | Wang, Di ; Gao, Guangyao; An, Jinxia; Shao, Yiming; Lue, Yihe; Fu, Bojie
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| 刊名 | JOURNAL OF HYDROLOGY
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| 出版日期 | 2022-05 |
| 卷号 | 608期号:0页码:127593 |
| ISSN号 | 0022-1694 |
| 关键词 | HEAT-BALANCE METHOD SOIL-WATER BUDGET SAP-FLOW EDDY COVARIANCE FOREST EVAPOTRANSPIRATION STOMATAL CONDUCTANCE SAPWOOD AREA MASS-FLOW TREES FLUX |
| 英文摘要 | Transpiration (T) is a key hydrological process, delivering water essential for plant metabolism and thus affecting productivity. A major challenge in estimating stand T is how to accurately scale sap flow data from individual trees to the stand. In shrub ecosystems, various scaling up methods have been used to extrapolate tree-level sap flow measurements to stand-level T, these include leaf area, cross-sectional area and number of branches. However, the performances of different scaling up methods have not been fully explored for shrubs. In this study, we measured sap flow of a xerophytic shrub (Salix psammophila) and scaled up using measures of leaf area, crosssectional area and numbers of branches in order to estimate stand T during the rainy seasons in 2019 and 2020 on the northern Loess Plateau, China. In addition, we measured precipitation, throughfall, stemflow, soil evaporation, surface runoff and 0-200 cm soil water content to calculate actual stand T on the basis of soil water balance method. The results revealed that daily stand T differed according to the scaling up methods used for the estimation. Daily estimated stand T based on measures of leaf area (0.1-13.1 mm d(-1)) was consistently higher than those based on cross-sectional area (0.2-8.6 mm d(-1)) and number of branches (0.4-8.9 mm d(-1)) (p < 0.05). During the two rainy seasons, the actual daily mean stand T (2.5 +/- 1.6 mm d(-1)) was significantly lower than the estimation by the three scaling up methods (p < 0.05). The method based on cross-sectional area appeared to be most suitable for scaling up because it had the lowest root mean square error and bias values (0.939 mm d-1 and 0.633 mm d(-1), respectively). This study highlights the wide variations of stand T upon which scaling up method was chosen, and these differences need to be considered when converting tree-level sap flow to stand-level T in shrub and other ecosystems. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/47217]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 通讯作者 | Gao, Guangyao |
| 作者单位 | 1.China Agr Univ, Coll Water Resources & Civil Engn, Beijing 100083, Peoples R China 2.Natl Observat & Res Stn Earth Crit Zone Loess Plat, Xi'an 710061, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Di,Gao, Guangyao,An, Jinxia,et al. Comparisons of three scaling up methods to estimate stand transpiration of a xerophytic shrub (Salix psammophila) in northern China[J]. JOURNAL OF HYDROLOGY,2022,608(0):127593. |
| APA | Wang, Di,Gao, Guangyao,An, Jinxia,Shao, Yiming,Lue, Yihe,&Fu, Bojie.(2022).Comparisons of three scaling up methods to estimate stand transpiration of a xerophytic shrub (Salix psammophila) in northern China.JOURNAL OF HYDROLOGY,608(0),127593. |
| MLA | Wang, Di,et al."Comparisons of three scaling up methods to estimate stand transpiration of a xerophytic shrub (Salix psammophila) in northern China".JOURNAL OF HYDROLOGY 608.0(2022):127593. |
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来源：生态环境研究中心
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