Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/13113
Title: | 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 | Contributor(s): | Whitley, Rhys (author); Taylor, Daniel (author); Macinnis-Ng, Catriona (author); Zeppel, Melanie (author); Yunusa, Isa (author); O'Grady, Anthony (author); Froend, Ray (author); Medlyn, Belinda (author); Eamus, Derek (author) | Publication Date: | 2013 | DOI: | 10.1002/hyp.9280 | Handle Link: | https://hdl.handle.net/1959.11/13113 | 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. | Publication Type: | Journal Article | Source of Publication: | Hydrological Processes, 27(8), p. 1133-1146 | Publisher: | John Wiley & Sons Ltd | Place of Publication: | United Kingdom | ISSN: | 1099-1085 0885-6087 |
Fields of Research (FoR) 2008: | 050207 Environmental Rehabilitation (excl Bioremediation) 050206 Environmental Monitoring 050302 Land Capability and Soil Degradation |
Fields of Research (FoR) 2020: | 410405 Environmental rehabilitation and restoration 410599 Pollution and contamination not elsewhere classified 410601 Land capability and soil productivity |
Socio-Economic Objective (SEO) 2008: | 830301 Beef Cattle 961205 Rehabilitation of Degraded Mining Environments 830499 Pasture, Browse and Fodder Crops not elsewhere classified |
Socio-Economic Objective (SEO) 2020: | 100401 Beef cattle 180604 Rehabilitation or conservation of terrestrial environments |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
---|---|
Appears in Collections: | Journal Article |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
62
checked on Nov 30, 2024
Page view(s)
1,172
checked on Sep 1, 2024
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.