Towards species-level forecasts of drought-induced tree mortality risk
Predicting species-level responses to drought at the landscape scale is critical to reducing uncertainty in future terrestrial carbon and water cycle projections. We embedded a stomatal optimisation model in the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and parameterise...
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ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/136432 2023-12-17T10:49:32+01:00 Towards species-level forecasts of drought-induced tree mortality risk De Kauwe, M.G. Sabot, M.E.B. Medlyn, B.E. Pitman, A.J. Meir, P. Cernusak, L.A. Gallagher, R.V. Ukkola, A.M. Rifai, S.W. Choat, B. 2022 application/pdf https://hdl.handle.net/2440/136432 https://doi.org/10.1111/nph.18129 en eng Wiley http://purl.org/au-research/grants/arc/CE170100023 http://purl.org/au-research/grants/arc/DP190101823 http://purl.org/au-research/grants/arc/FL190100003 http://purl.org/au-research/grants/arc/DE200100086 New Phytologist, 2022; 235(1):94-110 0028-646X 1469-8137 https://hdl.handle.net/2440/136432 doi:10.1111/nph.18129 Rifai, S.W. [0000-0003-3400-8601] © 2022 New Phytologist Foundation This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://dx.doi.org/10.1111/nph.18129 Australia cavitation resistance drought tolerance land surface model plant hydraulics species Plant Leaves Trees Carbon Dioxide Water Droughts Journal article 2022 ftunivadelaidedl https://doi.org/10.1111/nph.18129 2023-11-20T23:34:15Z Predicting species-level responses to drought at the landscape scale is critical to reducing uncertainty in future terrestrial carbon and water cycle projections. We embedded a stomatal optimisation model in the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and parameterised the model for 15 canopy dominant eucalypt tree species across South-Eastern Australia (mean annual precipitation range: 344–1424 mm yr−1 ). We conducted three experiments: applying CABLE to the 2017–2019 drought; a 20% drier drought; and a 20% drier drought with a doubling of atmospheric carbon dioxide (CO2). The severity of the drought was highlighted as for at least 25% of their distribution ranges, 60% of species experienced leaf water potentials beyond the water potential at which 50% of hydraulic conductivity is lost due to embolism. We identified areas of severe hydraulic stress within-species’ ranges, but we also pinpointed resilience in species found in predominantly semiarid areas. The importance of the role of CO2 in ameliorating drought stress was consistent across species. Our results represent an important advance in our capacity to forecast the resilience of individual tree species, providing an evidence base for decision-making around the resilience of restoration plantings or net-zero emission strategies. Martin G. De Kauwe, Manon E. B. Sabot, Belinda E. Medlyn, Andrew J. Pitman, Patrick Meir, Lucas A. Cernusak, Rachael V. Gallagher, Anna M. Ukkola, Sami W. Rifai, and Brendan Choat Article in Journal/Newspaper sami The University of Adelaide: Digital Library Ukkola ENVELOPE(26.700,26.700,68.017,68.017) New Phytologist 235 1 94 110 |
institution |
Open Polar |
collection |
The University of Adelaide: Digital Library |
op_collection_id |
ftunivadelaidedl |
language |
English |
topic |
Australia cavitation resistance drought tolerance land surface model plant hydraulics species Plant Leaves Trees Carbon Dioxide Water Droughts |
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Australia cavitation resistance drought tolerance land surface model plant hydraulics species Plant Leaves Trees Carbon Dioxide Water Droughts De Kauwe, M.G. Sabot, M.E.B. Medlyn, B.E. Pitman, A.J. Meir, P. Cernusak, L.A. Gallagher, R.V. Ukkola, A.M. Rifai, S.W. Choat, B. Towards species-level forecasts of drought-induced tree mortality risk |
topic_facet |
Australia cavitation resistance drought tolerance land surface model plant hydraulics species Plant Leaves Trees Carbon Dioxide Water Droughts |
description |
Predicting species-level responses to drought at the landscape scale is critical to reducing uncertainty in future terrestrial carbon and water cycle projections. We embedded a stomatal optimisation model in the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and parameterised the model for 15 canopy dominant eucalypt tree species across South-Eastern Australia (mean annual precipitation range: 344–1424 mm yr−1 ). We conducted three experiments: applying CABLE to the 2017–2019 drought; a 20% drier drought; and a 20% drier drought with a doubling of atmospheric carbon dioxide (CO2). The severity of the drought was highlighted as for at least 25% of their distribution ranges, 60% of species experienced leaf water potentials beyond the water potential at which 50% of hydraulic conductivity is lost due to embolism. We identified areas of severe hydraulic stress within-species’ ranges, but we also pinpointed resilience in species found in predominantly semiarid areas. The importance of the role of CO2 in ameliorating drought stress was consistent across species. Our results represent an important advance in our capacity to forecast the resilience of individual tree species, providing an evidence base for decision-making around the resilience of restoration plantings or net-zero emission strategies. Martin G. De Kauwe, Manon E. B. Sabot, Belinda E. Medlyn, Andrew J. Pitman, Patrick Meir, Lucas A. Cernusak, Rachael V. Gallagher, Anna M. Ukkola, Sami W. Rifai, and Brendan Choat |
format |
Article in Journal/Newspaper |
author |
De Kauwe, M.G. Sabot, M.E.B. Medlyn, B.E. Pitman, A.J. Meir, P. Cernusak, L.A. Gallagher, R.V. Ukkola, A.M. Rifai, S.W. Choat, B. |
author_facet |
De Kauwe, M.G. Sabot, M.E.B. Medlyn, B.E. Pitman, A.J. Meir, P. Cernusak, L.A. Gallagher, R.V. Ukkola, A.M. Rifai, S.W. Choat, B. |
author_sort |
De Kauwe, M.G. |
title |
Towards species-level forecasts of drought-induced tree mortality risk |
title_short |
Towards species-level forecasts of drought-induced tree mortality risk |
title_full |
Towards species-level forecasts of drought-induced tree mortality risk |
title_fullStr |
Towards species-level forecasts of drought-induced tree mortality risk |
title_full_unstemmed |
Towards species-level forecasts of drought-induced tree mortality risk |
title_sort |
towards species-level forecasts of drought-induced tree mortality risk |
publisher |
Wiley |
publishDate |
2022 |
url |
https://hdl.handle.net/2440/136432 https://doi.org/10.1111/nph.18129 |
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ENVELOPE(26.700,26.700,68.017,68.017) |
geographic |
Ukkola |
geographic_facet |
Ukkola |
genre |
sami |
genre_facet |
sami |
op_source |
http://dx.doi.org/10.1111/nph.18129 |
op_relation |
http://purl.org/au-research/grants/arc/CE170100023 http://purl.org/au-research/grants/arc/DP190101823 http://purl.org/au-research/grants/arc/FL190100003 http://purl.org/au-research/grants/arc/DE200100086 New Phytologist, 2022; 235(1):94-110 0028-646X 1469-8137 https://hdl.handle.net/2440/136432 doi:10.1111/nph.18129 Rifai, S.W. [0000-0003-3400-8601] |
op_rights |
© 2022 New Phytologist Foundation This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_doi |
https://doi.org/10.1111/nph.18129 |
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New Phytologist |
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235 |
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1 |
container_start_page |
94 |
op_container_end_page |
110 |
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1785574027695226880 |