Articles | Volume 17, issue 2
https://doi.org/10.5194/bg-17-265-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-265-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jan 2020
Research article |
| 20 Jan 2020
| 20 Jan 2020
Low sensitivity of gross primary production to elevated CO2 in a mature eucalypt woodland
Jinyan Yang
CORRESPONDING AUTHOR
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
Belinda E. Medlyn
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
Martin G. De Kauwe
ARC Centre of Excellence for Climate Extremes, Sydney, NSW 2052,
Australia
Climate Change Research Centre, University of New South Wales,
Sydney, NSW 2052, Australia
Remko A. Duursma
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
Mingkai Jiang
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
Dushan Kumarathunge
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
Kristine Y. Crous
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
Teresa E. Gimeno
Basque Centre for Climate Change, Scientific Campus of the University
of the Basque Country, 48940 Leioa, Spain
Ikerbasque, Basque Foundation for Science, 48008 Bilbao, Spain
Agnieszka Wujeska-Klause
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
David S. Ellsworth
Hawkesbury Institute for the Environment, Western Sydney
University, Penrith, NSW 2750, Australia
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Cited
16 citations as recorded by crossref.
- Explainable machine learning for predicting stomatal conductance across multiple plant functional types S. Gaur & D. Drewry 10.1016/j.agrformet.2024.109955
- Elevated CO2 alters the temperature sensitivity of stem CO2 efflux in a mature eucalypt woodland N. Noh et al. 10.1016/j.envexpbot.2021.104508
- Attribution of extreme events to climate change in the Australian region – A review T. Lane et al. 10.1016/j.wace.2023.100622
- Estimating intraseasonal intrinsic water‐use efficiency from high‐resolution tree‐ring δ13C data in boreal Scots pine forests Y. Tang et al. 10.1111/nph.18649
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
- Predicting resilience through the lens of competing adjustments to vegetation function M. Sabot et al. 10.1111/pce.14376
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Hormetic effects of abiotic environmental stressors in woody plants in the context of climate change E. Erofeeva 10.1007/s11676-022-01591-1
- Plant hormesis and Shelford’s tolerance law curve E. Erofeeva 10.1007/s11676-021-01312-0
- Limits to post‐fire vegetation recovery under climate change R. Nolan et al. 10.1111/pce.14176
- Leaf inclination angle and foliage clumping in an evergreen broadleaf J. Pisek et al. 10.1071/BT21035
- A constraint on historic growth in global photosynthesis due to rising CO2 T. Keenan et al. 10.1038/s41558-023-01867-2
- A reporting format for leaf-level gas exchange data and metadata K. Ely et al. 10.1016/j.ecoinf.2021.101232
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- Ecosystem carbon balance in the Hawaiian Islands under different scenarios of future climate and land use change P. Selmants et al. 10.1088/1748-9326/ac2347
- The fate of carbon in a mature forest under carbon dioxide enrichment M. Jiang et al. 10.1038/s41586-020-2128-9
16 citations as recorded by crossref.
- Explainable machine learning for predicting stomatal conductance across multiple plant functional types S. Gaur & D. Drewry 10.1016/j.agrformet.2024.109955
- Elevated CO2 alters the temperature sensitivity of stem CO2 efflux in a mature eucalypt woodland N. Noh et al. 10.1016/j.envexpbot.2021.104508
- Attribution of extreme events to climate change in the Australian region – A review T. Lane et al. 10.1016/j.wace.2023.100622
- Estimating intraseasonal intrinsic water‐use efficiency from high‐resolution tree‐ring δ13C data in boreal Scots pine forests Y. Tang et al. 10.1111/nph.18649
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al. 10.5194/bg-18-5639-2021
- Predicting resilience through the lens of competing adjustments to vegetation function M. Sabot et al. 10.1111/pce.14376
- Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
- Hormetic effects of abiotic environmental stressors in woody plants in the context of climate change E. Erofeeva 10.1007/s11676-022-01591-1
- Plant hormesis and Shelford’s tolerance law curve E. Erofeeva 10.1007/s11676-021-01312-0
- Limits to post‐fire vegetation recovery under climate change R. Nolan et al. 10.1111/pce.14176
- Leaf inclination angle and foliage clumping in an evergreen broadleaf J. Pisek et al. 10.1071/BT21035
- A constraint on historic growth in global photosynthesis due to rising CO2 T. Keenan et al. 10.1038/s41558-023-01867-2
- A reporting format for leaf-level gas exchange data and metadata K. Ely et al. 10.1016/j.ecoinf.2021.101232
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- Ecosystem carbon balance in the Hawaiian Islands under different scenarios of future climate and land use change P. Selmants et al. 10.1088/1748-9326/ac2347
- The fate of carbon in a mature forest under carbon dioxide enrichment M. Jiang et al. 10.1038/s41586-020-2128-9
Latest update: 18 Apr 2024
Short summary
This study addressed a major knowledge gap in the response of forest productivity to elevated CO2. We first quantified forest productivity of an evergreen forest under both ambient and elevated CO2, using a model constrained by in situ measurements. The simulation showed the canopy productivity response to elevated CO2 to be smaller than that at the leaf scale due to different limiting processes. This finding provides a key reference for the understanding of CO2 impacts on forest ecosystems.
This study addressed a major knowledge gap in the response of forest productivity to elevated...
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