2007Hydrological ProcessesRequires access

Modelling canopy interception loss from a Madrean pine‐oak stand, northeastern Mexico

Darryl E. Carlyle‐Moses, A. G. Price

Open publisher page 56 citations

Abstract

Abstract Throughfall associated with 34 rainfall events was measured from Year Day 1, 1999 to Year Day 184, 2001 within a pine‐oak stand of the central Sierra Madre Oriental mountain range of northeastern Mexico. Throughfall and canopy interception loss accounted for 83·6 ± 2·1% and 15·8 ± 1·8% (significance level, α, = 0·05) of the 691·8 mm cumulative rainfall input, respectively. A reformulated Gash analytical interception loss model and the Liu analytical model run with predetermined model parameters derived from the literature underestimated cumulative interception loss by 34·4%, and 37·1%, respectively. When the models were run with study period derived parameters the reformulated Gash model overestimated the observed interception by 3·0%, while the Liu model underestimated observed cumulative interception by 0·8%. Although good agreement between observed and estimated cumulative canopy interception loss was found using the analytical models with study period derived parameters, relatively poor agreement was found at the rainfall event scale. Although the analytical versions of the reformulated Gash and Liu models provided similar results, the Liu model is recommended for further application in the study area since it requires less data input and follows an exponential wetting of the canopy approach, something that the data collected during the study supports. Future work regarding the Liu model is discussed. Copyright © 2007 John Wiley & Sons, Ltd.

About this research paper

What this paper is about

Abstract Throughfall associated with 34 rainfall events was measured from Year Day 1, 1999 to Year Day 184, 2001 within a pine‐oak stand of the central Sierra Madre Oriental mountain range of northeastern Mexico. Throughfall and canopy interception loss accounted for 83·6 ± 2·1% and 15·8 ± 1·8% (significance level, α, = 0·05) of the 691·8 mm cumulative rainfall input, respectively. A reformulated Gash analytical interception loss model and the Liu analytical model run with predetermined model parameters derived from the literature underestimated cumulative interception loss by 34·4%, and 37·1%, respectively. When the models were run with study period derived parameters the reformulated Gash model overestimated the observed interception by 3·0%, while the Liu model underestimated observed cumulative interception by 0·8%. Although good agreement between observed and estimated cumulative canopy interception loss was found using the analytical models with study period derived parameters, relatively poor agreement was found at the rainfall event scale. Although the analytical versions of the reformulated Gash and Liu models provided similar results, the Liu model is recommended for further application in the study area since it requires less data input and follows an exponential wetting of the canopy approach, something that the data collected during the study supports. Future work regarding the Liu model is discussed. Copyright © 2007 John Wiley & Sons, Ltd.

Why it matters

OpenAlex reports 56 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Throughfall associated with 34 rainfall events was measured from Year Day 1, 1999 to Year Day 184, 2001 within a pine‐oak stand of the central Sierra Madre Oriental mountain range of northeastern Mexico. Throughfall and canopy interception loss accounted for 83·6 ± 2·1% and 15·8 ± 1·8% (significance level, α, = 0·05) of the 691·8 mm cumulative rainfall input, respectively. A reformulated Gash analytical interception loss model and the Liu analytical model run with predetermined model parameters derived from the literature underestimated cumulative interception loss by 34·4%, and 37·1%, respectively. When the models were run with study period derived parameters the reformulated Gash model overestimated the observed interception by 3·0%, while the Liu model underestimated observed cumulative interception by 0·8%. Although good agreement between observed and estimated cumulative canopy interception loss was found using the analytical models with study period derived parameters, relatively poor agreement was found at the rainfall event scale. Although the analytical versions of the reformulated Gash and Liu models provided similar results, the Liu model is recommended for further application in the study area since it requires less data input and follows an exponential wetting of the canopy approach, something that the data collected during the study supports. Future work regarding the Liu model is discussed. Copyright © 2007 John Wiley & Sons, Ltd.

Key concepts: Interception, Throughfall, Canopy, Environmental science, Hydrology (agriculture), Range (aeronautics), Tree canopy, Canopy interception

Related papers

Back to paper searchBrowse research topicsOriginal source
Modelling canopy interception loss from a Madrean pine‐oak stand, northeastern Mexico — Research Paper | ScholarLens