Regulation of tree water use by biophysical factors: Insights based on multi-layer hierarchical residual analysis
文献类型：期刊论文
| 作者 | Du, Jiali2,3,4; Oren, Ram1,5,6; Holtta, Teemu6; Feng, Shaoyuan7; Wang, Weishu2; Dai, Xiaoqin8; Huo, Zailin2 |
| 刊名 | JOURNAL OF HYDROLOGY
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| 出版日期 | 2025-10-01 |
| 卷号 | 660页码:133407 |
| 关键词 | Tree sap flow Biophysical control Arid region Water use strategies Populus popularis |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2025.133407 |
| 产权排序 | 8 |
| 文献子类 | Article |
| 英文摘要 | The complex impact of biophysical factors on tree water use in changing environments has been an important topic in the ecohydrological studies. However, understanding how to model tree water use based on key biophysical factors requires an in-depth analysis. This study monitored the sap flow (Q) of Populus popularis in an arid area over four consecutive growing seasons from 2018 to 2021, and leaf area index (LAI), soil water content at 0-30 cm soil depth (SWC0-30 cm), groundwater level, and meteorological variables (photosynthetically active radiation (PAR), solar radiation, air temperature, relative humidity, wind speed at 2 m height, and rainfall). Based on a three-layer hierarchical residual analysis, three novel statistical models representing the total effects of biophysical factors (meteorological variables, water supply conditions, and circadian rhythms factors) on normalized daily sap flow (Q/LAI), normalized nocturnal sap flow (Qn/LAI), and the ratio of nocturnal sap flow to daily sap flow (Qn/Q) were constructed on a daily scale, respectively. These models could estimate Q/LAI, Qn/ LAI, and Qn/Q over four years. The results further indicated that daily total PAR and mean SWC0-30 cm best explained the variation in Q/LAI, while nighttime length and mean SWC0-30 cm jointly influenced Qn/LAI. Interannually, the seasonal patterns of daily Q/LAI and Qn/LAI were correlated to the mean growing season SWC0-30 cm. The proposed models can quantify daily tree water use, nighttime water use, and its proportion in daily tree water use using biophysical factors, specifically daily total PAR, SWC0-30 cm, nighttime length, Q, and day of year. Our findings contribute to a deeper understanding of the drivers of daily and nighttime tree water use in arid regions. |
| URL标识 | 查看原文 |
| WOS关键词 | JARVIS-STEWART MODEL ; STAND-SCALE TRANSPIRATION ; NIGHTTIME SAP FLOW ; SOIL-WATER ; STOMATAL CONDUCTANCE ; ENVIRONMENTAL CONTROLS ; FOREST TRANSPIRATION ; THERMAL DISSIPATION ; CANOPY CONDUCTANCE ; RIVER-BASIN |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001509598500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214577]  |
| 专题 | 千烟洲站森林生态系统研究中心_外文论文 |
| 通讯作者 | Dai, Xiaoqin; Huo, Zailin |
| 作者单位 | 1.Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA; 2.China Agr Univ, State Key Lab Efficient Utilizat Agr Water Resourc, Beijing 100083, Peoples R China; 3.Chinese Acad Forestry, Key Lab Tree Breeding & Cultivat, Natl Forestry & Grassland Adm, Res Inst Forestry, Beijing 100091, Peoples R China; 4.Henan Xiaolangdi Forest Ecosyst Observat & Res Stn, Jiyuan 454650, Henan, Peoples R China; 5.Duke Univ, Pratt Sch Engn, Durham, NC 27708 USA; 6.Univ Helsinki, Inst Atmospher & Earth Syst Res INAR Forest Sci, Dept Forest Sci, FI-00014 Helsinki, Finland; 7.Yangzhou Univ, Coll Hydraul Sci & Engn, Yangzhou 225009, Peoples R China; 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Jiali,Oren, Ram,Holtta, Teemu,et al. Regulation of tree water use by biophysical factors: Insights based on multi-layer hierarchical residual analysis[J]. JOURNAL OF HYDROLOGY,2025,660:133407. |
| APA | Du, Jiali.,Oren, Ram.,Holtta, Teemu.,Feng, Shaoyuan.,Wang, Weishu.,...&Huo, Zailin.(2025).Regulation of tree water use by biophysical factors: Insights based on multi-layer hierarchical residual analysis.JOURNAL OF HYDROLOGY,660,133407. |
| MLA | Du, Jiali,et al."Regulation of tree water use by biophysical factors: Insights based on multi-layer hierarchical residual analysis".JOURNAL OF HYDROLOGY 660(2025):133407. |
入库方式： OAI收割
来源：地理科学与资源研究所
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