Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics.
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Authors
Rowland, Lucy
Oliveira, Rafael S
Bittencourt, Paulo RL
Barros, Fernanda V
da Costa, Antonio CL
Friend, Andrew D
Mencuccini, Maurizio
Sitch, Stephen
Cox, Peter
Publication Date
2018-10-08Journal Title
Philos Trans R Soc Lond B Biol Sci
ISSN
0962-8436
Publisher
The Royal Society
Volume
373
Issue
1760
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Eller, C. B., Rowland, L., Oliveira, R. S., Bittencourt, P. R., Barros, F. V., da Costa, A. C., Meir, P., et al. (2018). Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics.. Philos Trans R Soc Lond B Biol Sci, 373 (1760) https://doi.org/10.1098/rstb.2017.0315
Abstract
The current generation of dynamic global vegetation models (DGVMs) lacks a mechanistic representation of vegetation responses to soil drought, impairing their ability to accurately predict Earth system responses to future climate scenarios and climatic anomalies, such as El Niño events. We propose a simple numerical approach to model plant responses to drought coupling stomatal optimality theory and plant hydraulics that can be used in dynamic global vegetation models (DGVMs). The model is validated against stand-scale forest transpiration (E) observations from a long-term soil drought experiment and used to predict the response of three Amazonian forest sites to climatic anomalies during the twentieth century. We show that our stomatal optimization model produces realistic stomatal responses to environmental conditions and can accurately simulate how tropical forest E responds to seasonal, and even long-term soil drought. Our model predicts a stronger cumulative effect of climatic anomalies in Amazon forest sites exposed to soil drought during El Niño years than can be captured by alternative empirical drought representation schemes. The contrasting responses between our model and empirical drought factors highlight the utility of hydraulically-based stomatal optimization models to represent vegetation responses to drought and climatic anomalies in DGVMs.This article is part of a discussion meeting issue 'The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.
Keywords
Trees, Tropical Climate, Biochemical Phenomena, Models, Biological, Xylem, Plant Stomata, Droughts, El Nino-Southern Oscillation, Forests
Identifiers
External DOI: https://doi.org/10.1098/rstb.2017.0315
This record's URL: https://www.repository.cam.ac.uk/handle/1810/285777
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