Modelling interception loss using the revised Gash model: a case study in a mixed evergreen and deciduous broadleaved forest in China. Issue 8 (24th May 2016)

• Record Type: Journal Article
• Authors: Su, Lei; Zhao, Changming; Xu, Wenting; Xie, Zongqiang
• Is Part Of: Ecohydrology. Volume 9:Issue 8(2016)
• Page Start: 1580
• Page End: 1589
• Publication Date: 2016-05-24
• Subjects: interception loss -- revised Gash model -- forest hydrology -- subtropical forest -- canopy structure -- meteorological parameters; Ecohydrology -- Periodicals; Hydrology -- Periodicals; Water -- Environmental aspects -- Periodicals; 577.6
• DOI: 10.1002/eco.1749
• Languages: English
• ISSNs: 1936-0584

Abstract

Abstract: Interception loss accounts for a substantial portion of incident precipitation and evapotranspiration in forest ecosystems. Hence, identifying its magnitude is crucial for our understanding of biogeochemical cycling and related hydrological processes. In this study, gross rainfall partitioning into interception loss, throughfall and stemflow were measured and modelled using the revised Gash model for a mixed evergreen and deciduous broadleaved forest over the 2014 growing season. Field survey results revealed that interception loss accounted for 14.3% of gross rainfall, while understory rainfall was 84.8% throughfall and 0.9% stemflow. The revised Gash model produced a fairly good agreement between observed and estimated rainfall partitioning. The model underestimated interception loss by only 6.6%, while throughfall and stemflow were also slightly misestimated. Hence the interception loss predictions from the model were robust and reliable for this mixed evergreen and deciduous broadleaved forest. As quantified by the model, the vast majority of interception loss occurred as evaporation from the canopy under saturated conditions: 54.9% evaporated during rainfall events, and 38.3% after rainfall ceased. The sensitivity analysis indicated that predictions from the revised Gash model were most affected by changes in canopy storage capacity ( S ), followed by the mean evaporation rate ( Ē ) during rainfall events, the mean rainfall rate ( R ¯ ) and last canopy cover ( c ). Model predictions were least sensitive to trunk parameters ( St and pt ). Copyright © 2016 John Wiley & Sons, Ltd.