Articles | Volume 13, issue 3
https://doi.org/10.5194/bg-13-761-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-761-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Coupling carbon allocation with leaf and root phenology predicts tree–grass partitioning along a savanna rainfall gradient
V. Haverd
CORRESPONDING AUTHOR
CSIRO Oceans and Atmosphere, PO Box 3023, Canberra, ACT 2601,
Australia
Lund University, Department of Physical Geography and Ecosystem
Science, 223 62 Lund, Sweden
M. Raupach
Australian National University, Climate Change Institute, Canberra,
ACT 0200, Australia
deceased
P. Briggs
CSIRO Oceans and Atmosphere, PO Box 3023, Canberra, ACT 2601,
Australia
L. Nieradzik
CSIRO Oceans and Atmosphere, PO Box 3023, Canberra, ACT 2601,
Australia
J. Beringer
School of Earth and Environment, The University of Western Australia,
M004, 35 Stirling Highway, Crawley, WA 6009, Australia
L. Hutley
Research Institute for the Environment and Livelihoods, Charles Darwin
University, NT 0909, Australia
C. M. Trudinger
CSIRO Oceans and Atmosphere, PMB 1 Aspendale, VIC 3195, Australia
J. Cleverly
School of Life Sciences, University of Technology, Sydney, PO Box
123, Broadway, NSW 2007, Australia
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- Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
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29 citations as recorded by crossref.
- Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient? R. Nijzink et al. 10.5194/hess-26-525-2022
- Towards better representations of carbon allocation in vegetation: a conceptual framework and mathematical tool V. Ceballos-Núñez et al. 10.1007/s12080-020-00455-w
- A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas R. Whitley et al. 10.5194/bg-13-3245-2016
- Traits mediate drought effects on wood carbon fluxes Z. Hu et al. 10.1111/gcb.15088
- Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model E. Weng et al. 10.5194/bg-16-4577-2019
- Interannual variability in Australia's terrestrial carbon cycle constrained by multiple observation types C. Trudinger et al. 10.5194/bg-13-6363-2016
- Key knowledge and data gaps in modelling the influence of CO2 concentration on the terrestrial carbon sink T. Pugh et al. 10.1016/j.jplph.2016.05.001
- Improving Estimation of Seasonal Evapotranspiration in Australian Tropical Savannas using a Flexible Drought Index W. Zhuang et al. 10.1016/j.agrformet.2020.108203
- Soil type more than precipitation determines fine-root abundance in savannas of Kruger National Park, South Africa A. Kulmatiski et al. 10.1007/s11104-017-3277-y
- A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis V. Haverd et al. 10.5194/gmd-11-2995-2018
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
- Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data‐model comparison Z. Hu et al. 10.1111/gcb.14274
- Preface: OzFlux: a network for the study of ecosystem carbon and water dynamics across Australia and New Zealand E. van Gorsel et al. 10.5194/bg-15-349-2018
- Improved representations of coupled soil–canopy processes in the CABLE land surface model (Subversion revision 3432) V. Haverd et al. 10.5194/gmd-9-3111-2016
- Ideas and perspectives: Allocation of carbon from net primary production in models is inconsistent with observations of the age of respired carbon C. Sierra et al. 10.5194/bg-19-3727-2022
- Green-up and brown-down: Modelling grassland foliage phenology responses to soil moisture availability J. Yang et al. 10.1016/j.agrformet.2022.109252
- Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. 10.5194/bg-14-4711-2017
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- Physiological responses to low CO2 over prolonged drought as primers for forest–grassland transitions C. Bellasio et al. 10.1038/s41477-022-01217-8
- Plants and related carbon cycling under elevated ground-level ozone: A mini review Y. Zhang et al. 10.1016/j.apgeochem.2022.105400
- Green-Up and Brown-Down: Modelling Grassland Foliage Phenology Responses to Soil Moisture Availability J. Yang et al. 10.2139/ssrn.4107047
- Carbon cycle responses of semi‐arid ecosystems to positive asymmetry in rainfall V. Haverd et al. 10.1111/gcb.13412
- Using climate‐driven leaf phenology and growth to improve predictions of gross primary productivity in North American forests J. Fang et al. 10.1111/gcb.15349
- Comparison of forest above‐ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation‐based estimates H. Yang et al. 10.1111/gcb.15117
- An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
- Determinants of leaf area index and understorey light availability in New Zealand old‐growth forests R. Fritz & C. Lusk 10.1111/jbi.13781
- Process contributions of Australian ecosystems to interannual variations in the carbon cycle V. Haverd et al. 10.1088/1748-9326/11/5/054013
- Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
- Describing rainfall in northern Australia using multiple climate indices C. Rogers & J. Beringer 10.5194/bg-14-597-2017
2 citations as recorded by crossref.
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Latest update: 16 Aug 2024
Short summary
We present a new approach for modelling coupled phenology and carbon allocation in savannas, and test it using data from the OzFlux network. Model behaviour emerges from complex feedbacks between the plant physiology and vegetation dynamics, in response to resource availability, and not from imposed hypotheses about the controls on tree-grass co-existence. Results indicate that resource limitation is a stronger determinant of tree cover than disturbance in Australian savannas.
We present a new approach for modelling coupled phenology and carbon allocation in savannas, and...
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