Articles | Volume 21, issue 14
https://doi.org/10.5194/bg-21-3321-2024
© Author(s) 2024. 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-21-3321-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Climate-based prediction of carbon fluxes from deadwood in Australia
Elizabeth S. Duan
Department of Biology, University of Washington, Seattle, Washington, USA
Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, USA
Luciana Chavez Rodriguez
CORRESPONDING AUTHOR
Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, USA
Nicole Hemming-Schroeder
Department of Earth System Science, University of California Irvine, Irvine, California, USA
Baptiste Wijas
School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
Department of Biology, University of Miami, Miami, Florida, USA
Habacuc Flores-Moreno
Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia
Alexander W. Cheesman
College of Science and Engineering, James Cook University, Cairns, Queensland, Australia
Lucas A. Cernusak
College of Science and Engineering, James Cook University, Cairns, Queensland, Australia
Michael J. Liddell
College of Science and Engineering, James Cook University, Cairns, Queensland, Australia
Centre for Tropical Environmental and Sustainability Science, James Cook University, Cairns, Queensland, Australia
Paul Eggleton
Life Sciences Department, The Natural History Museum, London, UK
Amy E. Zanne
Department of Biology, University of Miami, Miami, Florida, USA
Cary Institute of Ecosystem Studies, Millbrook, New York, USA
Steven D. Allison
Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, USA
Department of Earth System Science, University of California Irvine, Irvine, California, USA
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Atmos. Chem. Phys., 24, 12537–12555, https://doi.org/10.5194/acp-24-12537-2024, https://doi.org/10.5194/acp-24-12537-2024, 2024
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Ozone is a pollutant that is detrimental to human and plant health. Ozone monitoring sites in the tropics are limited, so models are often used to understand ozone exposure. We use measurements from the tropics to evaluate ozone from the UK Earth system model, UKESM1. UKESM1 is able to capture the pattern of ozone in the tropics, except in southeast Asia, although it systematically overestimates it at all sites. This work highlights that UKESM1 can capture seasonal and hourly variability.
Yimian Ma, Xu Yue, Stephen Sitch, Nadine Unger, Johan Uddling, Lina M. Mercado, Cheng Gong, Zhaozhong Feng, Huiyi Yang, Hao Zhou, Chenguang Tian, Yang Cao, Yadong Lei, Alexander W. Cheesman, Yansen Xu, and Maria Carolina Duran Rojas
Geosci. Model Dev., 16, 2261–2276, https://doi.org/10.5194/gmd-16-2261-2023, https://doi.org/10.5194/gmd-16-2261-2023, 2023
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Plants have been found to respond differently to O3, but the variations in the sensitivities have rarely been explained nor fully implemented in large-scale assessment. This study proposes a new O3 damage scheme with leaf mass per area to unify varied sensitivities for all plant species. Our assessment reveals an O3-induced reduction of 4.8 % in global GPP, with the highest reduction of >10 % for cropland, suggesting an emerging risk of crop yield loss under the threat of O3 pollution.
Flossie Brown, Gerd A. Folberth, Stephen Sitch, Susanne Bauer, Marijn Bauters, Pascal Boeckx, Alexander W. Cheesman, Makoto Deushi, Inês Dos Santos Vieira, Corinne Galy-Lacaux, James Haywood, James Keeble, Lina M. Mercado, Fiona M. O'Connor, Naga Oshima, Kostas Tsigaridis, and Hans Verbeeck
Atmos. Chem. Phys., 22, 12331–12352, https://doi.org/10.5194/acp-22-12331-2022, https://doi.org/10.5194/acp-22-12331-2022, 2022
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Surface ozone can decrease plant productivity and impair human health. In this study, we evaluate the change in surface ozone due to climate change over South America and Africa using Earth system models. We find that if the climate were to change according to the worst-case scenario used here, models predict that forested areas in biomass burning locations and urban populations will be at increasing risk of ozone exposure, but other areas will experience a climate benefit.
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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.
Sam P. Jones, Aurore Kaisermann, Jérôme Ogée, Steven Wohl, Alexander W. Cheesman, Lucas A. Cernusak, and Lisa Wingate
SOIL, 7, 145–159, https://doi.org/10.5194/soil-7-145-2021, https://doi.org/10.5194/soil-7-145-2021, 2021
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Understanding how the rate of oxygen isotope exchange between water and CO2 varies in soils is key for using the oxygen isotope composition of atmospheric CO2 as a tracer of biosphere CO2 fluxes at large scales. Across 44 diverse soils the rate of this exchange responded to pH, nitrate and microbial biomass, which are hypothesised to alter activity of the enzyme carbonic anhydrase in soils. Using these three soil traits, it is now possible to predict how this isotopic exchange varies spatially.
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Short summary
Understanding the link between climate and carbon fluxes is crucial for predicting how climate change will impact carbon sinks. We estimated carbon dioxide (CO2) fluxes from deadwood in tropical Australia using wood moisture content and temperature. Our model predicted that the majority of deadwood carbon is released as CO2, except when termite activity is detected. Future models should also incorporate wood traits, like species and chemical composition, to better predict fluxes.
Understanding the link between climate and carbon fluxes is crucial for predicting how climate...
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