Articles | Volume 13, issue 19
https://doi.org/10.5194/bg-13-5587-2016
© 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-13-5587-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Oct 2016
Research article |
| 07 Oct 2016
MODIS vegetation products as proxies of photosynthetic potential along a gradient of meteorologically and biologically driven ecosystem productivity
Natalia Restrepo-Coupe
CORRESPONDING AUTHOR
Plant Functional Biology and Climate Change Cluster,
University of Technology Sydney, P.O. Box 123, Broadway, NSW 2007,
Australia
Plant Functional Biology and Climate Change Cluster,
University of Technology Sydney, P.O. Box 123, Broadway, NSW 2007,
Australia
Kevin Davies
Plant Functional Biology and Climate Change Cluster,
University of Technology Sydney, P.O. Box 123, Broadway, NSW 2007,
Australia
School of Geosciences, University of Sydney, Sydney, NSW 2006,
Australia
James Cleverly
School of Life Sciences, University of Technology Sydney,
P.O. Box 123, Broadway, NSW 2007, Australia
Jason Beringer
School of Earth and Environment, The University of
Western Australia, Crawley, WA 6009, Australia
Derek Eamus
School of Life Sciences, University of Technology Sydney,
P.O. Box 123, Broadway, NSW 2007, Australia
Eva van Gorsel
CSIRO Oceans and Atmosphere, Forestry House, Building
002, Wilf Crane Crescent, Yarralumla, ACT 2601, Australia
Lindsay B. Hutley
Research Institute for the Environment and Livelihoods,
Charles Darwin University, Darwin, NT 0909, Australia
Wayne S. Meyer
Environment Institute, School of Biological Sciences,
University of Adelaide, Adelaide, SA 5005, Australia
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35 citations as recorded by crossref.
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- Water‐use efficiency in a semi‐arid woodland with high rainfall variability T. Tarin et al. 10.1111/gcb.14866
- 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
- Sun-Angle Effects on Remote-Sensing Phenology Observed and Modelled Using Himawari-8 X. Ma et al. 10.3390/rs12081339
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- Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms Y. Yamamoto et al. 10.1016/j.isprsjprs.2022.07.008
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- Field-Layer Vegetation and Water Table Level as a Proxy of CO2 Exchange in the West Siberian Boreal Bog D. Ilyasov et al. 10.3390/land12030566
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- Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) J. Beringer et al. 10.5194/bg-14-1457-2017
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- Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
- Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities W. Smith et al. 10.1016/j.rse.2019.111401
- An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
- Elucidating observed land surface feedbacks across sub-Saharan Africa M. Notaro et al. 10.1007/s00382-019-04730-3
- The role of understory phenology and productivity in the carbon dynamics of longleaf pine savannas S. Wiesner et al. 10.1002/ecs2.2675
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- Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna C. Moore et al. 10.5194/bg-14-111-2017
- Contrasting ecophysiology of two widespread arid zone tree species with differing access to water resources R. Nolan et al. 10.1016/j.jaridenv.2018.01.003
- 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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- Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia V. Barraza et al. 10.1016/j.agrformet.2019.01.032
- Vertical distribution of gas exchanges and their integration throughout the entire canopy in a maize field Z. Xu et al. 10.1007/s11120-020-00817-9
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29 citations as recorded by crossref.
- Seasonal Dynamics of Canopy Properties and Ecosystem Fluxes in a Temperate Evergreen Angiosperm Forest A. Renchon et al. 10.2139/ssrn.3987846
- Carbon, water and energy fluxes in agricultural systems of Australia and New Zealand J. Cleverly et al. 10.1016/j.agrformet.2020.107934
- Actual Evapotranspiration Estimates in Arid Cold Regions Using Machine Learning Algorithms with In Situ and Remote Sensing Data J. Mosre & F. Suárez 10.3390/w13060870
- Water‐use efficiency in a semi‐arid woodland with high rainfall variability T. Tarin et al. 10.1111/gcb.14866
- 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
- Sun-Angle Effects on Remote-Sensing Phenology Observed and Modelled Using Himawari-8 X. Ma et al. 10.3390/rs12081339
- Climatic Drivers of the Complex Phenology of the Mediterranean Semi-Deciduous Shrub Phlomis fruticosa Based on Satellite-Derived EVI A. Kyparissis & E. Levizou 10.3390/plants11050584
- Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach V. Douna et al. 10.1016/j.jaridenv.2021.104513
- Evergreen and ever growing – Stem and canopy growth dynamics of a temperate eucalypt forest A. Griebel et al. 10.1016/j.foreco.2016.12.017
- Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms Y. Yamamoto et al. 10.1016/j.isprsjprs.2022.07.008
- Land surface phenology indicators retrieved across diverse ecosystems using a modified threshold algorithm Q. Xie et al. 10.1016/j.ecolind.2023.110000
- Field-Layer Vegetation and Water Table Level as a Proxy of CO2 Exchange in the West Siberian Boreal Bog D. Ilyasov et al. 10.3390/land12030566
- Mulga, a major tropical dry open forest of Australia: recent insights to carbon and water fluxes D. Eamus et al. 10.1088/1748-9326/11/12/125011
- Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO) J. Beringer et al. 10.5194/bg-14-1457-2017
- Carbon and water fluxes in two adjacent Australian semi-arid ecosystems T. Tarin et al. 10.1016/j.agrformet.2019.107853
- Multi-climate mode interactions drive hydrological and vegetation responses to hydroclimatic extremes in Australia Z. Xie et al. 10.1016/j.rse.2019.111270
- Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model X. Chen et al. 10.1029/2018MS001565
- Land surface phenology retrievals for arid and semi-arid ecosystems Q. Xie et al. 10.1016/j.isprsjprs.2022.01.017
- Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
- Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities W. Smith et al. 10.1016/j.rse.2019.111401
- An introduction to the Australian and New Zealand flux tower network – OzFlux J. Beringer et al. 10.5194/bg-13-5895-2016
- Elucidating observed land surface feedbacks across sub-Saharan Africa M. Notaro et al. 10.1007/s00382-019-04730-3
- The role of understory phenology and productivity in the carbon dynamics of longleaf pine savannas S. Wiesner et al. 10.1002/ecs2.2675
- Upside-down fluxes Down Under: CO<sub>2</sub> net sink in winter and net source in summer in a temperate evergreen broadleaf forest A. Renchon et al. 10.5194/bg-15-3703-2018
- Biometeorological effects on carbon dioxide and water-use efficiency within a semiarid grassland in the Chinese Loess Plateau P. Yue et al. 10.1016/j.jhydrol.2020.125520
- Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna C. Moore et al. 10.5194/bg-14-111-2017
- Contrasting ecophysiology of two widespread arid zone tree species with differing access to water resources R. Nolan et al. 10.1016/j.jaridenv.2018.01.003
- 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
- Spatiotemporal partitioning of savanna plant functional type productivity along NATT X. Ma et al. 10.1016/j.rse.2020.111855
6 citations as recorded by crossref.
- Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia V. Barraza et al. 10.1016/j.agrformet.2019.01.032
- Vertical distribution of gas exchanges and their integration throughout the entire canopy in a maize field Z. Xu et al. 10.1007/s11120-020-00817-9
- Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography C. Moore et al. 10.5194/bg-13-5085-2016
- Estimation of latent heat flux over savannah vegetation across the North Australian Tropical Transect from multiple sensors and global meteorological data V. Barraza et al. 10.1016/j.agrformet.2016.10.013
- Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method V. Barraza Bernadas et al. 10.1080/01431161.2018.1458348
- Improving the prediction of African savanna vegetation variables using time series of MODIS products M. Tsalyuk et al. 10.1016/j.isprsjprs.2017.07.012
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Latest update: 18 Apr 2024
Short summary
We re-evaluated the connection between satellite greenness products and C-flux tower data in four Australian ecosystems. We identify key mechanisms driving the carbon cycle, and provide an ecological basis for the interpretation of vegetation indices. We found relationships between productivity and greenness to be non-significant in meteorologically driven evergreen forests and sites where climate and vegetation phenology were asynchronous, and highly correlated in phenology-driven ecosystems.
We re-evaluated the connection between satellite greenness products and C-flux tower data in...
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