A Predictive Model of Rainfall Interception in Forests. III. Sensitivity of The Model to Stand Parameters and Meteorological Variables

Rutter, Allison; Morton, A. J.

doi:10.2307/2402568

Cited by 132 publications

(85 citation statements)

References 2 publications

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“…Horton, 1919;Merriam, 1960;Leonard, 1965;Czarnowski & Olszewski, 1968;Rutter et al, 1971Rutter et al, , 1975Rutter & Morton, 1977;Aston, 1979;Gash, 1979;Massman, 1980Massman, , 1983Mulder, 1985;Calder, 1986;Liu, J. 1988;Liu, S. 1997;Xiao et al, 2000a).…”

Section: Introductionmentioning

confidence: 99%

Measurement of rainfall interception by xerophytic shrubs in re-vegetated sand dunes / Mesure de l'interception de la pluie par des arbustes xérophiles sur des dunes de sable replantées

Wang

Li²,

Jing-guang³

et al. 2005

Hydrological Sciences Journal

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Section: Introductionmentioning

confidence: 99%

Measurement of rainfall interception by xerophytic shrubs in re-vegetated sand dunes / Mesure de l'interception de la pluie par des arbustes xérophiles sur des dunes de sable replantées

Wang

Li²,

Jing-guang³

et al. 2005

Hydrological Sciences Journal

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“…The first physically based interception models [Rutter et al, 1971[Rutter et al, , 1975Rutter and Morton, 1977] relied on water balance calculations for canopy surface water storage. This model 29,173 considered canopy surface storage as a function of gross precipitation falling on the canopy surface, drip from the canopy, and evaporation from the canopy surface and can be written simulates the mean number of raindrops (n') retained on the canopy surface element and the mean number of raindrops (m') striking the canopy surface element through dC dt -(1 -fg -fs) P-Do exp (b (C-S))-e,…”

Section: Introduction Il = S + Ket (•)mentioning

confidence: 99%

A new approach to modeling tree rainfall interception

Xiao¹,

McPherson²,

Ustin³

et al. 2000

J. Geophys. Res.

161

109

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Abstract. A three-dimensional physically based stochastic model was developed to describe canopy rainfall interception processes at desired spatial and temporal resolutions. Such model development is important to understand these processes because forest canopy interception may exceed 59% of annual precipitation in old growth trees. The model describes the interception process from a single leaf, to a branch segment, and then up to the individual tree level. It takes into account rainfall, meteorology, and canopy architecture factors as explicit variables. Leaf and stem surface roughness, architecture, and geometric shape control both leaf drip and stemflow. Model predictions were evaluated using actual interception data collected for two mature open grown trees, a 9-year-old broadleaf deciduous pear tree (Pyrus calleryana "Bradford" or Callery pear) and an 8-year-old broadleaf evergreen oak tree (Quercus suber or cork oak). When simulating 18 rainfall events for the oak tree and 16 rainfall events for the pear tree, the model over estimated interception loss by 4.5% and 3.0%, respectively, while stemflow was under estimated by 0.8% and 3.3%, and throughfall was under estimated by 3.7% for the oak tree and over estimated by 0.3% for the pear tree. A model sensitivity analysis indicates that canopy surface storage capacity had the greatest influence on interception, and interception losses were sensitive to leaf and stem surface area indices. Among rainfall factors, interception losses relative to gross precipitation were most sensitive •o rainfall amount. Rainfall incident angle had a significant effect on total precipitation intercepting the projected surface area. Stemflow was sensitive to stem segment and leaf zenith angle distributions. Enhanced understanding of interception loss dynamics should lead to improved urban forest ecosystem management.

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“…For other canopies with a different LAI, this would be expected to be 0.0019LAI/LAI c , where LAI c is the leaf area index of Rutter's Corsican pine forest. Assuming S is directly proportional to LAI, the saturated drainage rate for other canopies can be obtained from the value of S (1.05) for the Corsican pine stand of Rutter et al (1975) (Rutter and Morton, 1977;Jetten, 1996). A similar procedure can be followed to adjust the value of b.…”

mentioning

confidence: 99%

Modelling rainfall interception by a lowland tropical rain forest in northeastern Puerto Rico

Schellekens

Scatena

Bruijnzeel

et al. 1999

Journal of Hydrology

157

166

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Recent surveys of tropical forest water use suggest that rainfall interception by the canopy is largest in wet maritime locations. To investigate the underlying processes at one such location-the Luquillo Experimental Forest in eastern Puerto Rico-66 days of detailed throughfall and above-canopy climatic data were collected in 1996 and analysed using the Rutter and Gash models of rainfall interception. Throughfall occurred on 80% of the days distributed over 80 rainfall events. Measured interception loss was 50% of gross precipitation. When Penman-Monteith based estimates for the wet canopy evaporation rate (0.11 mm h Ϫ1 on average) and a canopy storage of 1.15 mm were used, both models severely underestimated measured interception loss. A detailed analysis of four storms using the Rutter model showed that optimizing the model for the wet canopy evaporation component yielded much better results than increasing the canopy storage capacity. However, the Rutter model failed to properly estimate throughfall amounts during an exceptionally large event. The analytical model, on the other hand, was capable of representing interception during the extreme event, but once again optimizing wet canopy evaporation rates produced a much better fit than optimizing the canopy storage capacity. As such, the present results support the idea that it is primarily a high rate of evaporation from a wet canopy that is responsible for the observed high interception losses. ᭧ 1999 Elsevier Science B.V. All rights reserved.

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A Predictive Model of Rainfall Interception in Forests. III. Sensitivity of The Model to Stand Parameters and Meteorological Variables

Cited by 132 publications

References 2 publications

Measurement of rainfall interception by xerophytic shrubs in re-vegetated sand dunes / Mesure de l'interception de la pluie par des arbustes xérophiles sur des dunes de sable replantées

Measurement of rainfall interception by xerophytic shrubs in re-vegetated sand dunes / Mesure de l'interception de la pluie par des arbustes xérophiles sur des dunes de sable replantées

A new approach to modeling tree rainfall interception

Modelling rainfall interception by a lowland tropical rain forest in northeastern Puerto Rico

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