Articles | Volume 13, issue 22
https://doi.org/10.5194/bg-13-6285-2016
© 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-13-6285-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Nov 2016
Research article |
| 23 Nov 2016
Quantifying the relative importance of greenhouse gas emissions from current and future savanna land use change across northern Australia
Mila Bristow
School of Environment, Research Institute for the Environment and
Livelihoods, Charles Darwin University, NT, 0909, Australia
Department of Primary Industry and Fisheries, Berrimah, NT,
0828, Australia
Lindsay B. Hutley
CORRESPONDING AUTHOR
School of Environment, Research Institute for the Environment and
Livelihoods, Charles Darwin University, NT, 0909, Australia
Jason Beringer
School of Earth and Environment, The University of Western Australia,
Crawley, WA, 6009, Australia
Stephen J. Livesley
School of Ecosystem and Forest Sciences, The University of Melbourne,
Burnley, Victoria, 3121, Australia
Andrew C. Edwards
School of Environment, Research Institute for the Environment and
Livelihoods, Charles Darwin University, NT, 0909, Australia
Stefan K. Arndt
School of Ecosystem and Forest Sciences, The University of Melbourne,
Burnley, Victoria, 3121, Australia
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Cited
19 citations as recorded by crossref.
- Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna C. Moore et al. 10.1111/gcb.14072
- Land Use Carbon Emissions or Sink: Research Characteristics, Hotspots and Future Perspectives L. Liu et al. 10.3390/land13030279
- Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. 10.1002/2017JD027346
- Emerging opportunities for developing a diversified land sector economy in Australia’s northern savannas J. Russell-Smith & K. Sangha 10.1071/RJ18005
- Evolving nature-based solutions for Australia’s Indigenous estate in 2024 – opportunities and challenges J. Russell-Smith et al. 10.1071/RJ24019
- Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model G. Wu et al. 10.1029/2019JG005504
- Land transformation in tropical savannas preferentially decomposes newly added biomass, whether C3 or C4 derived J. Wynn et al. 10.1002/eap.2192
- Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) J. Beringer et al. 10.5194/bg-14-1457-2017
- Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
- Simple process-led algorithms for simulating habitats (SPLASH v.2.0): robust calculations of water and energy fluxes D. Sandoval et al. 10.5194/gmd-17-4229-2024
- P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production B. Stocker et al. 10.5194/gmd-13-1545-2020
- LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism D. Martín Belda et al. 10.5194/gmd-15-6709-2022
- 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
- Soil carbon density can increase when Australian savanna is converted to pasture, but may not change under intense cropping systems S. Livesley et al. 10.1016/j.agee.2021.107527
- Burying the carbon to dig up the future H. Morgado Cerqueira et al. 10.18172/cig.5767
- TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change J. Cleverly et al. 10.1088/1748-9326/ab33cb
- Uncertainties in partitioning evapotranspiration by two remote sensing-based models H. Chen et al. 10.1016/j.jhydrol.2021.127223
- Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites D. Salazar-Martínez et al. 10.1016/j.jhydrol.2022.127786
- Seasonal Variations in Leaf Maximum Photosynthetic Capacity and Its Dependence on Climate Factors Across Global FLUXNET Sites X. Wang et al. 10.1029/2021JG006709
19 citations as recorded by crossref.
- Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna C. Moore et al. 10.1111/gcb.14072
- Land Use Carbon Emissions or Sink: Research Characteristics, Hotspots and Future Perspectives L. Liu et al. 10.3390/land13030279
- Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. 10.1002/2017JD027346
- Emerging opportunities for developing a diversified land sector economy in Australia’s northern savannas J. Russell-Smith & K. Sangha 10.1071/RJ18005
- Evolving nature-based solutions for Australia’s Indigenous estate in 2024 – opportunities and challenges J. Russell-Smith et al. 10.1071/RJ24019
- Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model G. Wu et al. 10.1029/2019JG005504
- Land transformation in tropical savannas preferentially decomposes newly added biomass, whether C3 or C4 derived J. Wynn et al. 10.1002/eap.2192
- Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) J. Beringer et al. 10.5194/bg-14-1457-2017
- Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
- Simple process-led algorithms for simulating habitats (SPLASH v.2.0): robust calculations of water and energy fluxes D. Sandoval et al. 10.5194/gmd-17-4229-2024
- P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production B. Stocker et al. 10.5194/gmd-13-1545-2020
- LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism D. Martín Belda et al. 10.5194/gmd-15-6709-2022
- 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
- Soil carbon density can increase when Australian savanna is converted to pasture, but may not change under intense cropping systems S. Livesley et al. 10.1016/j.agee.2021.107527
- Burying the carbon to dig up the future H. Morgado Cerqueira et al. 10.18172/cig.5767
- TERN, Australia’s land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change J. Cleverly et al. 10.1088/1748-9326/ab33cb
- Uncertainties in partitioning evapotranspiration by two remote sensing-based models H. Chen et al. 10.1016/j.jhydrol.2021.127223
- Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites D. Salazar-Martínez et al. 10.1016/j.jhydrol.2022.127786
- Seasonal Variations in Leaf Maximum Photosynthetic Capacity and Its Dependence on Climate Factors Across Global FLUXNET Sites X. Wang et al. 10.1029/2021JG006709
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Latest update: 14 Dec 2024
Short summary
Northern Australian savanna landscapes are a region earmarked for potential agricultural expansion. Greenhouse gas emissions from savanna land use change were quantified to determine the relative impact of increased rates of deforestation on Australia's national greenhouse gas accounts. Emissions from historic rates of deforestation were similar to savanna burning, but expanded clearing across northern Australia could add 3 % to Australia’s national greenhouse gas emissions.
Northern Australian savanna landscapes are a region earmarked for potential agricultural...
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