Volume 27, Issue 8 pp. 1133-1146
Research Article

Developing an empirical model of canopy water flux describing the common response of transpiration to solar radiation and VPD across five contrasting woodlands and forests

Rhys Whitley

Rhys Whitley

Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales, Australia

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Daniel Taylor

Daniel Taylor

Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales, Australia

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Catriona Macinnis-Ng

Catriona Macinnis-Ng

School of Environment, University of Auckland, Auckland, New Zealand

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Melanie Zeppel

Melanie Zeppel

Department of Biological Sciences, Macquarie University, New South Wales, Australia

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Isa Yunusa

Isa Yunusa

School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia

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Anthony O'Grady

Anthony O'Grady

CSIRO Ecosystem Sciences, Hobart, Tasmania, Australia

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Ray Froend

Ray Froend

School of Natural Sciences, Edith Cowan University, Joondalup, Western Australia, Australia

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Belinda Medlyn

Belinda Medlyn

Department of Biological Sciences, Macquarie University, New South Wales, Australia

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Derek Eamus

Corresponding Author

Derek Eamus

Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales, Australia

National Centre for Groundwater Research and Training Centre, UTS, Sydney, Australia

Correspondence to: Derek Eamus, Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, PO Box 123 Broadway, NSW, 2000, Australia.

E-mail: [email protected]

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First published: 02 March 2012
Citations: 57

Abstract

A modified Jarvis–Stewart model of canopy transpiration (Ec) was tested over five ecosystems differing in climate, soil type and species composition. The aims of this study were to investigate the model's applicability over multiple ecosystems; to determine whether the number of model parameters could be reduced by assuming that site-specific responses of Ec to solar radiation, vapour pressure deficit and soil moisture content vary little between sites; and to examine convergence of behaviour of canopy water-use across multiple sites. This was accomplished by the following: (i) calibrating the model for each site to determine a set of site-specific (SS) parameters, and (ii) calibrating the model for all sites simultaneously to determine a set of combined sites (CS) parameters. The performance of both models was compared with measured Ec data and a statistical benchmark using an artificial neural network (ANN). Both the CS and SS models performed well, explaining hourly and daily variation in Ec. The SS model produced slightly better model statistics [R2 = 0.75–0.91; model efficiency (ME) = 0.53–0.81; root mean square error (RMSE) = 0.0015–0.0280 mm h-1] than the CS model (R2 = 0.68–0.87; ME = 0.45–0.72; RMSE = 0.0023–0.0164 mm h-1). Both were highly comparable with the ANN (R2 = 0.77–0.90; ME = 0.58–0.80; RMSE = 0.0007–0.0122 mm h-1). These results indicate that the response of canopy water-use to abiotic drivers displayed significant convergence across sites, but the absolute magnitude of Ec was site specific. Period totals estimated with the modified Jarvis–Stewart model provided close approximations of observed totals, demonstrating the effectiveness of this model as a tool aiding water resource management. Analysis of the measured diel patterns of water use revealed significant nocturnal transpiration (9–18% of total water use by the canopy), but no Jarvis–Stewart formulations are able to capture this because of the dependence of water-use on solar radiation, which is zero at night. Copyright © 2012 John Wiley & Sons, Ltd.

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