Estimating rainfall interception of xerophytic deciduous shrubs by static- and variable-parameter Gash models with stem- and leaf-dominated canopy water storage
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Wei Li | Hua-wu Wu | F. Shi | Yu Zhang | Xiaoyan Li | C. Yuan | Siyi Zhang | Wei Li
[1] Jun Fan,et al. Changes in Rainfall Partitioning and Canopy Interception Modeling after Progressive Thinning in Two Shrub Plantations in the Semiarid Loess Plateau in China , 2023, Journal of Hydrology.
[2] J. Shao,et al. Rainfall interception using the revised Gash analytical model for Pinus sylvestris var. mongolica in a semi-humid region of NE China , 2022, Ecological Indicators.
[3] B. Fu,et al. Inter- and intra-event rainfall partitioning dynamics of two typical xerophytic shrubs in the Loess Plateau of China , 2022, Hydrology and Earth System Sciences.
[4] Q. Tang,et al. The performance of the reformulated Gash rainfall interception model in the Hyrcanian temperate forests of northern Iran , 2022, Journal of Hydrology.
[5] Xinxiao Yu,et al. Species and spatial differences in vegetation rainfall interception capacity: A synthesis and meta-analysis in China , 2022, CATENA.
[6] H. Djuma,et al. Testing three rainfall interception models and different parameterization methods with data from an open Mediterranean pine forest , 2022, Agricultural and Forest Meteorology.
[7] U. Nehren,et al. Modeling canopy interception under drought conditions: The relevance of evaporation and extra sources of energy. , 2021, Journal of environmental management.
[8] W. Xiong,et al. Integrated effects of rainfall regime and canopy structure on interception loss: A comparative modelling analysis for an artificial larch forest , 2021, Ecohydrology.
[9] L. K. Lauderbaugh,et al. The influence of changes in leaf inclination angle and leaf traits during the rainfall interception process , 2020 .
[10] Anna C. Linhoss,et al. Calibration reveals limitations in modeling rainfall interception at the storm scale , 2020 .
[11] Q. Guo,et al. Terrestrial laser scanning‐derived canopy interception index for predicting rainfall interception , 2020, Ecohydrology.
[12] B. Fu,et al. Temporally dependent effects of rainfall characteristics on inter- and intra-event branch-scale stemflow variability in two xerophytic shrubs , 2019, Hydrology and Earth System Sciences.
[13] M. Shao,et al. The modelling of rainfall interception in growing and dormant seasons for a pine plantation and a black locust plantation in semi-arid Northwest China , 2019, Journal of Hydrology.
[14] B. Somers,et al. The importance of city trees for reducing net rainfall: comparing measurements and simulations , 2019, Hydrology and Earth System Sciences.
[15] Samuel Beskow,et al. Rainfall partitioning measurement and rainfall interception modelling in a tropical semi-deciduous Atlantic forest remnant , 2019, Agricultural and Forest Meteorology.
[16] A. Berg,et al. Shrub tundra ecohydrology: rainfall interception is a major component of the water balance , 2019, Environmental Research Letters.
[17] Y. Lü,et al. Assessing the integrity of soil erosion in different patch covers in semi-arid environment , 2019, Journal of Hydrology.
[18] Xiaorong Wei,et al. Stemflow production differ significantly among tree and shrub species on the Chinese Loess Plateau , 2019, Journal of Hydrology.
[19] Henry Lin,et al. Modelling of rainfall partitioning by a deciduous shrub using a variable parameters Gash model , 2018, Ecohydrology.
[20] S. Hosseini,et al. A seasonal evaluation of the reformulated Gash interception model for semi-arid deciduous oak forest stands , 2018 .
[21] J. Friesen,et al. Importance of transitional leaf states in canopy rainfall partitioning dynamics , 2018, European Journal of Forest Research.
[22] A. Darvishi Boloorani,et al. Estimating linkages between forest structural variables and rainfall interception parameters in semi-arid deciduous oak forest stands. , 2017, The Science of the total environment.
[23] Wei Li,et al. Modeling rainfall interception loss by two xerophytic shrubs in the Loess Plateau , 2017 .
[24] J. Navar,et al. Fitting rainfall interception models to forest ecosystems of Mexico , 2017 .
[25] B. Fu,et al. Comparisons of stemflow and its bio-/abiotic influential factors between two xerophytic shrub species , 2017 .
[26] Wenting Xu,et al. Modelling interception loss using the revised Gash model: a case study in a mixed evergreen and deciduous broadleaved forest in China , 2016 .
[27] Anna C. Linhoss,et al. A comparison of five forest interception models using global sensitivity and uncertainty analysis , 2016 .
[28] Xinxiao Yu,et al. Process-based rainfall interception by small trees in Northern China: The effect of rainfall traits and crown structure characteristics , 2016 .
[29] H. Komatsu,et al. Comparative modeling of the effects of intensive thinning on canopy interception loss in a Japanese cedar (Cryptomeria japonica D. Don) forest of western Japan , 2015 .
[30] B. Shrestha,et al. Facing north or south: Does slope aspect impact forest stand characteristics and soil properties in a semiarid trans-Himalayan valley? , 2015 .
[31] M. Stähli,et al. Improved snow interception modeling using canopy parameters derived from airborne LiDAR data , 2015 .
[32] Yongmei Huang,et al. The measurement and modelling of stemflow in an alpine Myricaria squamosa community , 2015 .
[33] Junliang Fan,et al. Measuring and modeling rainfall interception losses by a native Banksia woodland and an exotic pine plantation in subtropical coastal Australia , 2014 .
[34] G. Jewitt,et al. Modelling canopy and litter interception in commercial forest plantations in South Africa using the Variable Storage Gash model and idealised drying curves , 2012 .
[35] José A. Revilla,et al. Estimated distributed rainfall interception using a simple conceptual model and Moderate Resolution Imaging Spectroradiometer (MODIS) , 2012 .
[36] P. Llorens,et al. Modelling rainfall partitioning with sparse Gash and Rutter models in a downy oak stand in leafed and leafless periods , 2012 .
[37] Chuanyan Zhao,et al. [Characteristics of rainfall interception by Caragana korshinskii and Hippophae rhamnoides in Loess Plateau of Northwest China]. , 2012, Ying yong sheng tai xue bao = The journal of applied ecology.
[38] Y. Lü,et al. Hydrological responses and soil erosion potential of abandoned cropland in the Loess Plateau, China , 2012 .
[39] C. Holder. The relationship between leaf hydrophobicity, water droplet retention, and leaf angle of common species in a semi-arid region of the western United States , 2012 .
[40] W. Xiong,et al. [Canopy interception characteristics of main vegetation types in Liupan Mountains of China]. , 2010, Ying yong sheng tai xue bao = The journal of applied ecology.
[41] P. García-Estringana,et al. Water storage capacity, stemflow and water funneling in Mediterranean shrubs: biotic and abiotic factors , 2010 .
[42] G. Daily,et al. Forest structure influences on rainfall partitioning and cloud interception: A comparison of native forest sites in Kona, Hawai'i , 2010 .
[43] Pilar Llorens,et al. A review of rainfall interception modelling , 2009 .
[44] M. Shao,et al. Variability and pattern of surface moisture on a small-scale hillslope in Liudaogou catchment on the northern Loess Plateau of China , 2008 .
[45] Miaoling Liang,et al. Improving the vegetation dynamic simulation in a land surface model by using a statistical-dynamic canopy interception scheme , 2008 .
[46] A. Price,et al. Modelling canopy interception loss from a Madrean pine‐oak stand, northeastern Mexico , 2007 .
[47] P. Llorens,et al. Rainfall partitioning by vegetation under Mediterranean conditions. A review of studies in Europe , 2007 .
[48] N. Verhoest,et al. Spatial variability and temporal stability of throughfall water under a dominant beech (Fagus sylvatica L.) tree in relationship to canopy cover , 2006 .
[49] M. Owens,et al. Rainfall partitioning within semiarid juniper communities: effects of event size and canopy cover , 2006 .
[50] S. Hattori,et al. The influence of seasonal changes in canopy structure on interception loss : Application of the revised Gash model , 2006 .
[51] Timothy E. Link,et al. The importance of canopy structure in controlling the interception loss of rainfall: Examples from a young and an old-growth Douglas-fir forest , 2005 .
[52] W. Wilcke,et al. Rainfall interception in a lower montane forest in Ecuador: effects of canopy properties , 2005 .
[53] A. Dijk,et al. Modelling rainfall interception by vegetation of variable density using an adapted analytical model. Part 1. Model description. , 2001 .
[54] Keming Ma,et al. The relationships between land use and soil conditions in the hilly area of the loess plateau in northern Shaanxi, China , 2000 .
[55] Shuguang Liu. Estimation of rainfall storage capacity in the canopies of cypress wetlands and slash pine uplands in North-Central Florida , 1998 .
[56] Shuguang Liu,et al. A new model for the prediction of rainfall interception in forest canopies , 1997 .
[57] C. R. Lloyd,et al. Estimating sparse forest rainfall interception with an analytical model , 1995 .
[58] John Iain Pitman,et al. Rainfall interception by bracken in open habitats — Relations between leaf area, canopy storage and drainage rate , 1989 .
[59] I. Calder. A model of transpiration and interception loss from a spruce forest in Plynlimon, central Wales , 1977 .
[60] A. Rutter,et al. A Predictive Model of Rainfall Interception in Forests. II. Generalization of the Model and Comparison with Observations in Some Coniferous and Hardwood Stands , 1975 .
[61] R. Horton. THE MEASUREMENT OF RAINFALL AND SNOW , 1919 .
[62] D. Legates,et al. Differential stemflow yield from European beech saplings: the role of individual canopy structure metrics , 2015 .
[63] Peter E. Thornton,et al. Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls , 2000 .
[64] V. Ponce,et al. Runoff Curve Number: Has It Reached Maturity? , 1996 .
[65] J. Gash. An analytical model of rainfall interception by forests , 1979 .