Modelling interception loss from evergreen oak Mediterranean savannas: Application of a tree-based modelling approach

In a previous study, it was shown that an isolated, fully saturated tree-crown behaves like a wet bulb, allowing evaporation of intercepted rainfall to be estimated by a simple diffusion equation for water vapour. This observation was taken as the basis for a new approach in modelling interception l...

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Published inAgricultural and forest meteorology Vol. 149; no. 3; pp. 680 - 688
Main Authors Pereira, F.L., Gash, J.H.C., David, J.S., David, T.S., Monteiro, P.R., Valente, F.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 11.03.2009
[Oxford]: Elsevier Science Ltd
Elsevier
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Summary:In a previous study, it was shown that an isolated, fully saturated tree-crown behaves like a wet bulb, allowing evaporation of intercepted rainfall to be estimated by a simple diffusion equation for water vapour. This observation was taken as the basis for a new approach in modelling interception loss from savanna-type woodland, whereby the ecosystem evaporation is derived by scaling up the evaporation from individual trees, rather than by considering a homogeneous forest cover. Interception loss from isolated trees was estimated by combining the aforementioned equation for water vapour flux with Gash's analytical model. A new methodology, which avoids the subjectivity inherent in the Leyton method, was used for estimating the crown storage capacity. Modelling performance was evaluated against data from two Mediterranean savanna-type oak woodlands ( montados) in southern Portugal. Interception loss estimates were in good agreement with observations in both sites. The proposed modelling approach is physically based, requires only a limited amount of data and should be suitable for the modelling of interception loss in isolated trees and savanna-type ecosystems.
Bibliography:http://dx.doi.org/10.1016/j.agrformet.2008.10.014
ObjectType-Article-1
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ISSN:0168-1923
1873-2240
DOI:10.1016/j.agrformet.2008.10.014