A seasonal evaluation of the reformulated Gash interception model for semi-arid deciduous oak forest stands

A seasonal evaluation of the reformulated Gash interception model for semi-arid deciduous oak... •The influential parameters of sparse Gash model showed significant deviations with seasonal changes.•Sparse Gash model predicts rainfall interception better for trees in full leaf.•Canopy structure was less important for rainfall interception predictions by sparse Gash model. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Forest Ecology and Management Elsevier

A seasonal evaluation of the reformulated Gash interception model for semi-arid deciduous oak forest stands

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0378-1127
eISSN
1872-7042
D.O.I.
10.1016/j.foreco.2017.11.058
Publisher site
See Article on Publisher Site

Abstract

•The influential parameters of sparse Gash model showed significant deviations with seasonal changes.•Sparse Gash model predicts rainfall interception better for trees in full leaf.•Canopy structure was less important for rainfall interception predictions by sparse Gash model.

Journal

Forest Ecology and ManagementElsevier

Published: Feb 1, 2018

References

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