Mechanisms of woody-plant mortality under rising drought, CO2 and vapour pressure deficit

  • Nate G. McDowell
  • , Gerard Sapes
  • , Alexandria Pivovaroff
  • , Henry D. Adams
  • , Craig D. Allen
  • , William R.L. Anderegg
  • , Matthias Arend
  • , David D. Breshears
  • , Tim Brodribb
  • , Brendan Choat
  • , Hervé Cochard
  • , Miquel De Cáceres
  • , Martin G. De Kauwe
  • , Charlotte Grossiord
  • , William M. Hammond
  • , Henrik Hartmann
  • , Günter Hoch
  • , Ansgar Kahmen
  • , Tamir Klein
  • , D. Scott Mackay
  • Marylou Mantova, Jordi Martínez-Vilalta, Belinda E. Medlyn, Maurizio Mencuccini, Andrea Nardini, Rafael S. Oliveira, Anna Sala, David T. Tissue, José M. Torres-Ruiz, Amy M. Trowbridge, Anna T. Trugman, Erin Wiley, Chonggang Xu

Research output: Contribution to journalReview articlepeer-review

411 Scopus citations

Abstract

Drought-associated woody-plant mortality has been increasing in most regions with multi-decadal records and is projected to increase in the future, impacting terrestrial climate forcing, biodiversity and resource availability. The mechanisms underlying such mortality, however, are debated, owing to complex interactions between the drivers and the processes. In this Review, we synthesize knowledge of drought-related tree mortality under a warming and drying atmosphere with rising atmospheric CO2. Drought-associated mortality results from water and carbon depletion and declines in their fluxes relative to demand by living tissues. These pools and fluxes are interdependent and underlay plant defences against biotic agents. Death via failure to maintain a positive water balance is particularly dependent on soil-to-root conductance, capacitance, vulnerability to hydraulic failure, cuticular water losses and dehydration tolerance, all of which could be exacerbated by reduced carbon supply rates to support cellular survival or the carbon starvation process. The depletion of plant water and carbon pools is accelerated under rising vapour pressure deficit, but increasing CO2 can mitigate these impacts. Advancing knowledge and reducing predictive uncertainties requires the integration of carbon, water and defensive processes, and the use of a range of experimental and modelling approaches.

Original languageEnglish
Pages (from-to)294-308
Number of pages15
JournalNature Reviews Earth and Environment
Volume3
Issue number5
DOIs
StatePublished - May 2022

Funding

The authors thank C. Körner for thoughtful advice, D. Basler for providing the CH2018 data on future climate projections for Switzerland and B. Roskilly, the Montgomery Laboratory and A. Castillo for feedback on figures. N.G.M. and C.X. were supported by the Department of Energy, Office of Science project Next Generation Ecosystem Experiment–Tropics (NGEE-Tropics). G.S. was supported by the NSFBII-Implementation (2021898). D.T.T. acknowledges support from the Australian Research Council (ARC) (DP0879531, DP110105102, LP0989881, LP140100232). M.G.D.K. acknowledges support from the ARC Centre of Excellence for Climate Extremes (CE170100023), the ARC Discovery Grant (DP190101823) and the NSW Research Attraction and Acceleration Program. C.G. was supported by the Swiss National Science Foundation (PZ00P3_174068). M.Mencuccini and J.M.-V. were supported by the Spanish Ministry of Science and Innovation (MICINN, CGL2017-89149-C2-1-R). A.T.T. acknowledges funding from NSF grant 2003205, the USDA National Institute of Food and Agriculture, Agriculture and Food Research Initiative Competitive Grants Program no. 2018-67012-31496 and the University of California Laboratory Fees Research Program award no. LFR-20-652467. W.M.H. was supported by the NSF GRFP (1-746055). A.M.T. and H.D.A. were supported by the NSF Division of Integrative Organismal Systems, Integrative Ecological Physiology Program (IOS-1755345, IOS-1755346). H.D.A. also received support from the USDA National Institute of Food and Agriculture (NIFA), McIntire-Stennis Project WNP00009 and Agriculture and Food Research Initiative award 2021-67013-33716. D.D.B. was supported by NSF (DEB-1550756, DEB-1824796, DEB-1925837), USGS SW Climate Adaptation Science Center (G18AC00320), USDA NIFA McIntire-Stennis ARZT 1390130-M12-222 and a Murdoch University Distinguished Visiting Scholar award. D.S.M. was supported by NSF (IOS-1444571, IOS-1547796). R.S.O. acknowledges funding from NERC-FAPESP 19/07773-1. W.R.L.A. was supported by the David and Lucille Packard Foundation, NSF grants 1714972, 1802880 and 2003017, and USDA NIFA AFRI grant no. 2018-67019-27850. R.S.O. acknowledges funding from NERC-FAPESP 19/07773-1. B.E.M. is supported by an Australian Research Council Laureate Fellowship (FL190100003). A.S. was supported by a Bullard Fellowship (Harvard University) and the University of Montana.

FundersFunder number
19/07773-1
2021898
IOS-1547796, IOS-1444571, ARZT 1390130-M12-222
FL190100003, 2018-67019-27850
G18AC00320
2003205
David and Lucile Packard Foundation2003017, 1802880, 1714972
California State University Stanislaus1-746055, LFR-20-652467, IOS-1755346, IOS-1755345
DEB-1824796, 2021-67013-33716, DEB-1550756, DEB-1925837, WNP00009, 2018-67012-31496
Australian Research CouncilDP0879531, DP110105102, LP140100232, LP0989881
PZ00P3_174068
CGL2017-89149-C2-1-R
ARC Australia Centre of Excellence for Climate ExtremesDP190101823, CE170100023

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