Articles | Volume 14, issue 20
https://doi.org/10.5194/bg-14-4711-2017
© Author(s) 2017. 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-14-4711-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Challenges and opportunities in land surface modelling of savanna ecosystems
Rhys Whitley
Department of Biological Sciences, Macquarie University, North Ryde,
NSW 2109, Australia
School of Agriculture and Environment, University of Western
Australia, Crawley, WA 6009, Australia
Lindsay B. Hutley
Research Institute for the Environment and Livelihoods, Charles Darwin
University, Casuarina, NT 0909, Australia
Gabriel Abramowitz
Climate Change Research Centre, University of New South Wales,
Kensington, NSW 2033, Australia
Martin G. De Kauwe
Department of Biological Sciences, Macquarie University, North Ryde,
NSW 2109, Australia
Bradley Evans
Faculty of Agriculture and Environment, University of Sydney,
Eveleigh, NSW 2015, Australia
Vanessa Haverd
CSIRO Ocean and Atmosphere, Canberra 2601, Australia
Longhui Li
School of Life Sciences, University of Technology Sydney, Ultimo, NSW
2007, Australia
Caitlin Moore
School of Earth, Atmosphere and Environment, Monash University, VIC
3800, Clayton, Australia
Youngryel Ryu
Department of Landscape Architecture and Rural Systems Engineering,
Seoul National University, Seoul, South Korea
Simon Scheiter
Biodiversität und Klima Forschungszentrum, Senckenberg
Gesellschaft für Naturforschung, Senckenberganlage 25, 60325 Frankfurt
am Main, Germany
Stanislaus J. Schymanski
ETH Zurich, Department of Environmental System Science, Zurich,
Switzerland
Benjamin Smith
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Ying-Ping Wang
CSIRO Ocean and Atmosphere, Aspendale, Victoria 3195, Australia
Mathew Williams
School of GeoSciences, University of Edinburgh, Edinburgh, UK
School of Life Sciences, University of Technology Sydney, Ultimo, NSW
2007, Australia
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41 citations as recorded by crossref.
- Divergent evapotranspiration partition dynamics between shrubs and grasses in a shrub‐encroached steppe ecosystem P. Wang et al. 10.1111/nph.15237
- Dynamic Vegetation Simulations of the Mid‐Holocene Green Sahara Z. Lu et al. 10.1029/2018GL079195
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- Impacts of Large‐Scale Sahara Solar Farms on Global Climate and Vegetation Cover Z. Lu et al. 10.1029/2020GL090789
- The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem V. Burchard-Levine et al. 10.1016/j.rse.2021.112440
- 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
- Safety margins and adaptive capacity of vegetation to climate change R. Gallagher et al. 10.1038/s41598-019-44483-x
- Impacts of large-scale Saharan solar farms on the global terrestrial carbon cycle K. Power et al. 10.1088/1748-9326/acf7d8
- Improving Estimation of Seasonal Evapotranspiration in Australian Tropical Savannas using a Flexible Drought Index W. Zhuang et al. 10.1016/j.agrformet.2020.108203
- Global Surface Soil Moisture Drydown Patterns V. Sehgal et al. 10.1029/2020WR027588
- Inappropriateness of space-for-time and variability-for-time approaches to infer future dryland productivity changes W. Zhan et al. 10.3389/fenvs.2022.1010269
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
- BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt C. Jiang et al. 10.5194/hess-24-1251-2020
- Satellite Remote Sensing of Savannas: Current Status and Emerging Opportunities A. Abdi et al. 10.34133/2022/9835284
- Evaluation of modeled actual evapotranspiration estimates from a land surface, empirical and satellite-based models using in situ observations from a South African semi-arid savanna ecosystem F. Khosa et al. 10.1016/j.agrformet.2019.107706
- Evaluating CMIP5 Model Agreement for Multiple Drought Metrics A. Ukkola et al. 10.1175/JHM-D-17-0099.1
- Root‐zone soil moisture variability across African savannas: From pulsed rainfall to land‐cover switches M. Räsänen et al. 10.1002/eco.2213
- Time-variant error characterization of SMAP and ASCAT soil moisture using Triple Collocation Analysis K. Wu et al. 10.1016/j.rse.2021.112324
- Constraints and Opportunities for Detecting Land Surface Phenology in Drylands S. Taylor et al. 10.34133/2021/9859103
- Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration Q. Wang et al. 10.1088/1748-9326/ac38db
- Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones J. Rahimi et al. 10.5194/gmd-14-3789-2021
- Integrating Animal Husbandry With Crops and Trees R. Lal 10.3389/fsufs.2020.00113
- Estimating ecosystem evaporation and transpiration using a soil moisture coupled two-source energy balance model across FLUXNET sites K. Xue et al. 10.1016/j.agrformet.2023.109513
- On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results G. Abramowitz et al. 10.5194/bg-21-5517-2024
- Land Cover Classification in the Antioquia Region of the Tropical Andes Using NICFI Satellite Data Program Imagery and Semantic Segmentation Techniques L. Gomez-Ossa et al. 10.3390/data8120185
- Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. 10.1029/2021JG006400
- Organizing principles for vegetation dynamics O. Franklin et al. 10.1038/s41477-020-0655-x
- Contrasting responses of woody and herbaceous vegetation to altered rainfall characteristics in the Sahel W. Verbruggen et al. 10.5194/bg-18-77-2021
- Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites N. MacBean et al. 10.5194/hess-24-5203-2020
- From hydraulic root architecture models to macroscopic representations of root hydraulics in soil water flow and land surface models J. Vanderborght et al. 10.5194/hess-25-4835-2021
- MODIS Vegetation Continuous Fields tree cover needs calibrating in tropical savannas R. Adzhar et al. 10.5194/bg-19-1377-2022
- Seasonal, interannual and decadal drivers of tree and grass productivity in an Australian tropical savanna C. Moore et al. 10.1111/gcb.14072
- Unexpected reversal of C 3 versus C 4 grass response to elevated CO 2 during a 20-year field experiment P. Reich et al. 10.1126/science.aas9313
- Inner Mongolia grasslands act as a weak regional carbon sink: A new estimation based on upscaling eddy covariance observations C. You et al. 10.1016/j.agrformet.2023.109719
- A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes L. Song et al. 10.1016/j.jag.2022.103152
- A fiery wake-up call for climate science B. Sanderson & R. Fisher 10.1038/s41558-020-0707-2
- 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
- The effect of pixel heterogeneity on surface heat and water vapor flux estimated by the remote sensing-based model coupled with deep learning J. Feng et al. 10.1016/j.jhydrol.2023.130036
Latest update: 14 Dec 2024
Short summary
This paper attempts to review some of the current challenges faced by the modelling community in simulating the behaviour of savanna ecosystems. We provide a particular focus on three dynamic processes (phenology, root-water access, and fire) that are characteristic of savannas, which we believe are not adequately represented in current-generation terrestrial biosphere models. We highlight reasons for these misrepresentations, possible solutions and a future direction for research in this area.
This paper attempts to review some of the current challenges faced by the modelling community in...
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