中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Substantial Contribution of Woody Components to Rainfall Interception in Chinese Forests: Insights From a Refined Analytical Model

文献类型:期刊论文

作者Jiang, Zhi-Yun13; He, Wei12; Chen, Zhi-Ang13; Van Stan, John T.11; Guo, Li10; Yuan, Chuan9; Ma, Yu Jun12; Zhang, Si-Yi8; Li, Xiao-Yan6,7; Zhang, Yu1
刊名WATER RESOURCES RESEARCH
出版日期2025-12-19
卷号61期号:12页码:e2025WR041189
关键词rainfall interception woody interception leaf interception water storage capacity Gash model forests
ISSN号0043-1397
DOI10.1029/2025WR041189
产权排序11
文献子类Article
英文摘要Assessing rainfall interception (I-R) is a critical yet uncertain aspect in hydrological cycle, particularly the quantification of relative contributions from leaves and woody components (e.g., branches, stems, and trunks) to I-R. Nevertheless, the role of woody components in I-R estimation remains largely unexplored and thereby has been constantly overlooked. This study addressed this challenge and refined the widely-used Gash model to distinguish woody interception (I-W) from leaf interception (I-L). We incorporated the spatial variability of vegetation traits alongside satellite data in 2019 into the refined model, and spanned China's major forest types. The refined model showed a strong agreement with field observations in estimating I-R (r = 0.83, p < 0.01) and the fraction of rainfall interception to precipitation (I-R/P) (r = 0.77, p < 0.01). The average I-R was 112.4 +/- 32.1 mm (with I-R/P of 14.7 +/- 8.2%) in 2019, of which I-L accounted for 77.9% and I-W contributed the rest 22.1%. Among different forest types, I-W/I-R exhibited the highest values in deciduous needle-leaf forests (DNF, mean: 51.9%) but lowest values in evergreen broad-leaf (EBF, mean: 14.3%). In addition, I-W/I-R was larger in the non-growing season than that of growing season in some forest types, such as exceeding 60% in winter for DNF, indicating that more rainwater was intercepted by woody components than by leaves. Our study underscores the substantial role of woody components in I-R, particularly in needle-leaf forests, that are prevalent globally, a finding that can provide novel methods and valuable parameters for global hydrological models to improve the accuracy of model predictions.
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WOS关键词WATER STORAGE CAPACITY ; INTERSPECIFIC VARIATION ; CANOPY ; VARIABILITY ; LEAF ; EVAPORATION ; VEGETATION ; STEMFLOW ; BIOMASS ; PATTERNS
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
语种英语
WOS记录号WOS:001643399400001
出版者AMER GEOPHYSICAL UNION
源URL[http://ir.igsnrr.ac.cn/handle/311030/219370]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Jiang, Zhi-Yun; Hu, Zhong-Min
作者单位1.Hebei Normal Univ, Sch Geog Sci, Shijiazhuang, Peoples R China;
2.Hainan Univ, Sch Ecol, Hainan Baoting Trop Rainforest Ecosyst Observat &, Haikou, Peoples R China
3.US Forest Serv, Eastern Forest Environm Threat Assessment Ctr, Southern Res Stn, USDA, Res Triangle Pk, NC USA;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China;
5.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess Sci, Xian, Peoples R China;
6.Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing, Peoples R China;
7.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China;
8.Guangdong Acad Sci, Inst Ecoenvironm & Soil Sci, Natl Reg Joint Engn Res Ctr Soil Pollut Control &, Guangdong Key Lab Integrated Agroenvironm Pollut C, Guangzhou, Peoples R China;
9.Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing, Peoples R China;
10.Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu, Peoples R China;
推荐引用方式
GB/T 7714
Jiang, Zhi-Yun,He, Wei,Chen, Zhi-Ang,et al. Substantial Contribution of Woody Components to Rainfall Interception in Chinese Forests: Insights From a Refined Analytical Model[J]. WATER RESOURCES RESEARCH,2025,61(12):e2025WR041189.
APA Jiang, Zhi-Yun.,He, Wei.,Chen, Zhi-Ang.,Van Stan, John T..,Guo, Li.,...&Hu, Zhong-Min.(2025).Substantial Contribution of Woody Components to Rainfall Interception in Chinese Forests: Insights From a Refined Analytical Model.WATER RESOURCES RESEARCH,61(12),e2025WR041189.
MLA Jiang, Zhi-Yun,et al."Substantial Contribution of Woody Components to Rainfall Interception in Chinese Forests: Insights From a Refined Analytical Model".WATER RESOURCES RESEARCH 61.12(2025):e2025WR041189.

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来源:地理科学与资源研究所

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