Journal article
Research frontiers for improving our understanding of drought-induced tree and forest mortality
H Hartmann, CF Moura, WRL Anderegg, NK Ruehr, Y Salmon, CD Allen, SK Arndt, DD Breshears, H Davi, D Galbraith, KX Ruthrof, J Wunder, HD Adams, J Bloemen, M Cailleret, R Cobb, A Gessler, TEE Grams, S Jansen, M Kautz Show all
New Phytologist | WILEY | Published : 2018
DOI: 10.1111/nph.15048
Abstract
Accumulating evidence highlights increased mortality risks for trees during severe drought, particularly under warmer temperatures and increasing vapour pressure deficit (VPD). Resulting forest die-off events have severe consequences for ecosystem services, biophysical and biogeochemical land–atmosphere processes. Despite advances in monitoring, modelling and experimental studies of the causes and consequences of tree death from individual tree to ecosystem and global scale, a general mechanistic understanding and realistic predictions of drought mortality under future climate conditions are still lacking. We update a global tree mortality map and present a roadmap to a more holistic underst..
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Awarded by Seventh Framework Programme
Funding Acknowledgements
C.F.M. acknowledges support by the Portuguese Foundation for Science and Technology (FCT, I.P.) and associated co-funding programmes through individual fellowship SFRH/BPD/47131/2008, grant PTDC/AAG-MAA/3699/2014, and travel funds from UID/BIA/04004/2013. Y.S. was supported by NERC (RA0929 to M. Mencuccini) and the Academy of Finland (1284701 to T. Vesala). N.K.R. received support by the German Federal Ministry of Education and Research (BMBF) through the Helmholtz Association and its research programme ATMO and by the German Research Foundation through its Emmy Noether Programme (RU 1657/2-1). W.R.L.A. acknowledges support from the National Science Foundation NSF CNH 1714972 and from the USDA National Institute of Food and Agriculture, Agricultural and Food Research Initiative Competitive Programme, Ecosystem Services and Agro-ecosystem Management, grant no. 2017-05521. D.D.B. acknowledges support from the National Science Foundation NSF EF-1340624, EF-1550756 and EAR-1331408. M.K. acknowledges support from the EU FP7 project LUC4C, grant 603542. F.L. acknowledges support from the Spanish MINECO grant CGL2015-67419-R and the Catalonian Government AGAUR 2014-SGR-00453. J.W. was supported by the Lead Agency process of the Swiss National Science Foundation (SNF) and the French National Research Agency (ANR) (Project-Nr.: 310030L_156661).