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. Issue 8 (13th April 2012)
- Record Type:
- Journal Article
- 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. Issue 8 (13th April 2012)
- Main 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
- Authors:
- Whitley, Rhys
Taylor, Daniel
Macinnis‐Ng, Catriona
Zeppel, Melanie
Yunusa, Isa
O'Grady, Anthony
Froend, Ray
Medlyn, Belinda
Eamus, Derek - Abstract:
- 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 [ R 2 = 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 ( R 2 = 0.68–0.87; ME = 0.45–0.72; RMSE = 0.0023–0.0164 mm h ‐1 ). Both were highly comparable with the ANN ( R 2 = 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 convergenceAbstract: 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 [ R 2 = 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 ( R 2 = 0.68–0.87; ME = 0.45–0.72; RMSE = 0.0023–0.0164 mm h ‐1 ). Both were highly comparable with the ANN ( R 2 = 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. … (more)
- Is Part Of:
- Hydrological processes. Volume 27:Issue 8(2013:Apr. 15)
- Journal:
- Hydrological processes
- Issue:
- Volume 27:Issue 8(2013:Apr. 15)
- Issue Display:
- Volume 27, Issue 8 (2013)
- Year:
- 2013
- Volume:
- 27
- Issue:
- 8
- Issue Sort Value:
- 2013-0027-0008-0000
- Page Start:
- 1133
- Page End:
- 1146
- Publication Date:
- 2012-04-13
- Subjects:
- transpiration -- Jarvis–Stewart model -- tree water‐use -- functional convergence
Hydrology -- Periodicals
Hydrology -- Research -- Periodicals
Hydrologic models -- Periodicals
Hydrological forecasting -- Periodicals
631.432 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/hyp.9280 ↗
- Languages:
- English
- ISSNs:
- 0885-6087
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4347.625600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1291.xml