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Measuring the pulse of trees; using the vascular system to predict tree mortality in the 21st century

Citation

Brodribb, TJ and Cochard, H and Rodriguez Dominguez, CM, Measuring the pulse of trees; using the vascular system to predict tree mortality in the 21st century, Conservation Physiology, 7, (1) Article coz046. ISSN 2051-1434 (2019) [Refereed Article]


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Copyright 2019 The Authors Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1093/conphys/coz046

Abstract

Tree mortality during hot and dry conditions presents a stark reminder of the vulnerability of plant species to climatic extremes. The current global warming trend makes predicting the impacts of hot/dry events on species survival an urgent task; yet, the standard tools for this purpose lack a physiological basis. This review examines a diversity of recent evidence demonstrating how physiological attributes of plant vascular systems can explain not only why trees die during drought, but also their distributional limits according to rainfall. These important advances in the science of plant water transport physiology provide the basis for new hydraulic models that can provide credible predictions of not only how but when, where and which species will be impacted by changes in rainfall and temperature in the future. Applying a recently developed hydraulic model using realistic parameters, we show that even apparently safe mesic forest in central France is predicted to experience major forest mortality before the end of the century.

Item Details

Item Type:Refereed Article
Keywords:drought, extinction, hydraulic, tree mortality
Research Division:Biological Sciences
Research Group:Plant biology
Research Field:Plant physiology
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Adaptation to climate change
Objective Field:Ecosystem adaptation to climate change
UTAS Author:Brodribb, TJ (Professor Tim Brodribb)
UTAS Author:Rodriguez Dominguez, CM (Dr Celia Rodriguez Dominguez)
ID Code:151182
Year Published:2019
Web of Science® Times Cited:11
Deposited By:Plant Science
Deposited On:2022-07-25
Last Modified:2022-09-16
Downloads:3 View Download Statistics

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