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.
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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Jon Cranko Page, Martin G. De Kauwe, Gab Abramowitz, Jamie Cleverly, Nina Hinko-Najera, Mark J. Hovenden, Yao Liu, Andy J. Pitman, and Kiona Ogle
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Although vegetation responds to climate at a wide range of timescales, models of the land carbon sink often ignore responses that do not occur instantly. In this study, we explore the timescales at which Australian ecosystems respond to climate. We identified that carbon and water fluxes can be modelled more accurately if we include environmental drivers from up to a year in the past. The importance of antecedent conditions is related to ecosystem aridity but is also influenced by other factors.
Anna M. Ukkola, Gab Abramowitz, and Martin G. De Kauwe
Earth Syst. Sci. Data, 14, 449–461, https://doi.org/10.5194/essd-14-449-2022, https://doi.org/10.5194/essd-14-449-2022, 2022
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Flux towers provide measurements of water, energy, and carbon fluxes. Flux tower data are invaluable in improving and evaluating land models but are not suited to modelling applications as published. Here we present flux tower data tailored for land modelling, encompassing 170 sites globally. Our dataset resolves several key limitations hindering the use of flux tower data in land modelling, including incomplete forcing variable, data format, and low data quality.
Sami W. Rifai, Martin G. De Kauwe, Anna M. Ukkola, Lucas A. Cernusak, Patrick Meir, Belinda E. Medlyn, and Andy J. Pitman
Biogeosciences, 19, 491–515, https://doi.org/10.5194/bg-19-491-2022, https://doi.org/10.5194/bg-19-491-2022, 2022
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Australia's woody ecosystems have experienced widespread greening despite a warming climate and repeated record-breaking droughts and heat waves. Increasing atmospheric CO2 increases plant water use efficiency, yet quantifying the CO2 effect is complicated due to co-occurring effects of global change. Here we harmonized a 38-year satellite record to separate the effects of climate change, land use change, and disturbance to quantify the CO2 fertilization effect on the greening phenomenon.
Lina Teckentrup, Martin G. De Kauwe, Andrew J. Pitman, Daniel S. Goll, Vanessa Haverd, Atul K. Jain, Emilie Joetzjer, Etsushi Kato, Sebastian Lienert, Danica Lombardozzi, Patrick C. McGuire, Joe R. Melton, Julia E. M. S. Nabel, Julia Pongratz, Stephen Sitch, Anthony P. Walker, and Sönke Zaehle
Biogeosciences, 18, 5639–5668, https://doi.org/10.5194/bg-18-5639-2021, https://doi.org/10.5194/bg-18-5639-2021, 2021
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The Australian continent is included in global assessments of the carbon cycle such as the global carbon budget, yet the performance of dynamic global vegetation models (DGVMs) over Australia has rarely been evaluated. We assessed simulations by an ensemble of dynamic global vegetation models over Australia and highlighted a number of key areas that lead to model divergence on both short (inter-annual) and long (decadal) timescales.
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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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