Drought-related tree mortality: addressing the gaps in understanding and prediction

• Published in: The New phytologist Vol. 207; no. 1; pp. 28 - 33
• Main Authors: Meir, Patrick, Mencuccini, Maurizio, Dewar, Roderick C.
• Format: Journal Article
• Language: English
• Published: England New Phytologist Trust 01.07.2015; Wiley Subscription Services, Inc
• Subjects: Biogeochemical cycles; Biogeochemistry; Biomechanical Phenomena; climate; Climate models; Community composition; Dieback; Drought; drought physiology; Droughts; Dynamics; forests; mechanistic models; Model testing; Modelling; modelling vegetation dynamics; Models, Biological; Mortality; Optimization; Plant ecology; prediction; probabilistic models; Species composition; species diversity; Tansley insight; tree mortality; Trees; Trees - physiology; tropical forests; Vegetation; modelling vegetation dynamics; tree mortality; drought; drought physiology; tropical forests
• ISSN: 0028-646X; 1469-8137; 1469-8137
• DOI: 10.1111/nph.13382

Increased tree mortality during and after drought has become a research focus in recent years. This focus has been driven by: the realisation that drought-related tree mortality is more widespread than previously thought; the predicted increase in the frequency of climate extremes this century; and the recognition that current vegetation models do not predict drought-related tree mortality and forest dieback well despite the large potential effects of these processes on species composition and biogeochemical cycling. To date, the emphasis has been on understanding the causal mechanisms of drought-related tree mortality, and on mechanistic models of plant function and vegetation dynamics, but a consensus on those mechanisms has yet to emerge. In order to generate new hypotheses and to help advance the modelling of vegetation dynamics in the face of incomplete mechanistic understanding, we suggest that general patterns should be distilled from the diverse and as-yet inconclusive results of existing studies, and more use should be made of optimisation and probabilistic modelling approaches that have been successfully applied elsewhere in plant ecology. The outcome should inform new empirical studies of tree mortality, help improve its prediction and reduce model complexity.