Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

An optimality-based model of the dynamic feedbacks between natural vegetation and the water balance

Schymanski, S. J., Sivapalan, M., Roderick, M. L., Hutley, Lindsay B. and Beringer, Jason (2009). An optimality-based model of the dynamic feedbacks between natural vegetation and the water balance. Water Resources Research,45(1):W01412.

Document type: Journal Article
Attached Files (Some files may be inaccessible until you login with your CDU eSpace credentials)
Name Description MIMEType Size Downloads
Download this reading Hutley_8598.pdf Published version application/pdf 805.05KB 273
Reading the attached file works best in Firefox, Chrome and IE 9 or later.

IRMA ID 73195523xPUB20
Title An optimality-based model of the dynamic feedbacks between natural vegetation and the water balance
Author Schymanski, S. J.
Sivapalan, M.
Roderick, M. L.
Hutley, Lindsay B.
Beringer, Jason
Journal Name Water Resources Research
Publication Date 2009
Volume Number 45
Issue Number 1
ISSN 0043-1397   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-61349135462
Start Page W01412
Total Pages 18
Place of Publication Hoboken, NJ , United States
Publisher Wiley-Blackwell Publishing, Inc.
HERDC Category C1 - Journal Article (DEST)
Abstract The hypothesis that vegetation adapts optimally to its environment gives rise to a novel framework for modeling the interactions between vegetation dynamics and the catchment water balance that does not rely on prior knowledge about the vegetation at a particular site. We present a new model based on this framework that includes a multilayered physically based catchment water balance model and an ecophysiological gas exchange and photosynthesis model. The model uses optimization algorithms to find those static and dynamic vegetation properties that would maximize the net carbon profit under given environmental conditions. The model was tested at a savanna site near Howard Springs (Northern Territory, Australia) by comparing the modeled fluxes and vegetation properties with long-term observations at the site. The results suggest that optimality may be a useful way of approaching the prediction and estimation of vegetation cover, rooting depth, and fluxes such as transpiration and CO2 assimilation in ungauged basins without model calibration.
Keywords vegetation optimality
transpiration
natural vegetation
savanna
rooting depth
costs and benefits
adaption
photosynthesis
DOI http://dx.doi.org/10.1029/2008WR006841   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)


© copyright

Every reasonable effort has been made to ensure that permission has been obtained for items included in CDU eSpace. If you believe that your rights have been infringed by this repository, please contact digitisation@cdu.edu.au.

 
Versions
Version Filter Type
Access Statistics: 195 Abstract Views, 274 File Downloads  -  Detailed Statistics
Created: Thu, 18 Mar 2010, 15:15:05 CST by Sarena Wegener