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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Published in:New Phytologist
Main Authors: 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.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
Subjects:
Online Access:https://hdl.handle.net/2440/136432
https://doi.org/10.1111/nph.18129
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spelling 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
spellingShingle 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
long_lat 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
container_title New Phytologist
container_volume 235
container_issue 1
container_start_page 94
op_container_end_page 110
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