Files and links (2)
Published (Version of Record)CC BY V4.0, Open Access
Journal article
A test of an optimal stomatal conductance scheme within the CABLE land surface model
Geoscientific Model Development, Vol.8(2), pp.431-452
2015
Abstract
Stomatal conductance (gs) 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 Community Atmosphere Biosphere Land Exchange (CABLE) land surface model (LSM). In common with many LSMs, CABLE does not differentiate between gs model parameters in relation to plant functional type (PFT), but instead only in relation to photosynthetic pathway. We constrained the key model parameter "g1", which represents plant water use strategy, by PFT, based on a global synthesis of stomatal behaviour. As proof of concept, we also demonstrate that the g1 parameter can be estimated using two long-term average (1960–1990) bioclimatic variables: (i) temperature and (ii) an indirect estimate of annual plant water availability. The new stomatal model, in conjunction with PFT parameterisations, resulted in a large reduction in annual fluxes of transpiration (~ 30% compared to the standard CABLE simulations) across evergreen needleleaf, tundra and C4 grass regions. Differences in other regions of the globe were typically small. Model performance against upscaled data products was not degraded, but did not noticeably reduce existing model–data biases. We identified assumptions relating to the coupling of the vegetation to the atmosphere and the parameterisation of the minimum stomatal conductance as areas requiring further investigation in both CABLE and potentially other LSMs. We conclude that optimisation theory can yield a simple and tractable approach to predicting stomatal conductance in LSMs.
Details
- Title
- A test of an optimal stomatal conductance scheme within the CABLE land surface model
- Authors/Creators
- M.G. De Kauwe (Author/Creator)J. Kala (Author/Creator)Y-S Lin (Author/Creator)A.J. Pitman (Author/Creator)B.E. Medlyn (Author/Creator)R.A. Duursma (Author/Creator)G. Abramowitz (Author/Creator)Y-P Wang (Author/Creator)D.G. Miralles (Author/Creator)
- Publication Details
- Geoscientific Model Development, Vol.8(2), pp.431-452
- Publisher
- European Geosciences Union
- Identifiers
- 991005545569107891
- Copyright
- © Author(s) 2015
- Murdoch Affiliation
- School of Veterinary and Life Sciences
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
190 File views/ downloads
113 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.40 Forestry
- 3.40.55 Forest Dynamics
- Web Of Science research areas
- Geosciences, Multidisciplinary
- ESI research areas
- Geosciences