Articles | Volume 8, issue 2
https://doi.org/10.5194/gmd-8-431-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-431-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A test of an optimal stomatal conductance scheme within the CABLE land surface model
Macquarie University, Sydney, Australia
J. Kala
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
Y.-S. Lin
Macquarie University, Sydney, Australia
A. J. Pitman
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
B. E. Medlyn
Macquarie University, Sydney, Australia
R. A. Duursma
Hawkesbury Institute for the Environment, University of Western Sydney, Sydney, Australia
G. Abramowitz
Australian Research Council Centre of Excellence for Climate Systems Science and Climate Change Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia
Y.-P. Wang
CSIRO Ocean and Atmosphere Flagship, Private Bag #1, Aspendale, Victoria 3195, Australia
D. G. Miralles
Department of Earth Sciences, VU University, Amsterdam 1081 HV, the Netherlands
Laboratory of Hydrology and Water Management, Ghent University, 9000 Ghent, Belgium
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- Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) Q. Li et al. 10.5194/gmd-15-4313-2022
- Introducing water factors improves simulations of maize stomatal conductance models under plastic film mulching in arid and semi-arid irrigation areas C. Li et al. 10.1016/j.jhydrol.2022.128908
- Woody plants optimise stomatal behaviour relative to hydraulic risk W. Anderegg et al. 10.1111/ele.12962
- Advances in Land Surface Modelling E. Blyth et al. 10.1007/s40641-021-00171-5
- Stomatal conductance models in Brazilian forest plantations: genotype and environmental effects on eucalypt and pine forests J. dos Santos et al. 10.1007/s11056-023-09986-6
- Radiation and Drought Impact Residual Leaf Conductance in Two Oak Species With Implications for Water Use Models H. Qin et al. 10.3389/fpls.2020.603581
- Surface Urban Energy and Water Balance Scheme (SUEWS): Development and evaluation at two UK sites H. Ward et al. 10.1016/j.uclim.2016.05.001
- Marginal water use efficiencies of different plant functional types along an elevation gradient in subalpine regions B. Zhai et al. 10.1007/s10342-023-01654-w
- Integration of tree hydraulic processes and functional impairment to capture the drought resilience of a semiarid pine forest D. Nadal-Sala et al. 10.5194/bg-21-2973-2024
- Forest system hydraulic conductance: partitioning tree and soil components O. Binks et al. 10.1111/nph.17895
- Evaluation of nature-based solutions implementation scenarios, using urban surface modelling E. Panagiotakis et al. 10.47248/HKOD902101010003
- Organizing principles for vegetation dynamics O. Franklin et al. 10.1038/s41477-020-0655-x
- Description and validation of the Simple, Efficient, Dynamic, Global, Ecological Simulator (SEDGES v.1.0) P. Paiewonsky & O. Elison Timm 10.5194/gmd-11-861-2018
- Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts M. Mu et al. 10.5194/esd-12-919-2021
- Applications of a Thermal-Based Two-Source Energy Balance Model Coupling the Sun-Induced Chlorophyll Fluorescence Data L. Song et al. 10.1109/LGRS.2023.3240996
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Short summary
Stomatal conductance affects the fluxes of carbon, energy and water between the vegetated land surface and the atmosphere. We test an implementation of an optimal stomatal conductance model within the CABLE land surface model (LSM). The new implementation resulted in a large reduction in the annual fluxes of transpiration across evergreen needleleaf, tundra and C4 grass regions. We conclude that optimisation theory can yield a tractable approach to predicting stomatal conductance in LSMs.
Stomatal conductance affects the fluxes of carbon, energy and water between the vegetated land...