Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics. (19th November 2018)
- Record Type:
- Journal Article
- Title:
- Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics. (19th November 2018)
- Main Title:
- Modelling tropical forest responses to drought and El Niño with a stomatal optimization model based on xylem hydraulics
- Authors:
- Eller, Cleiton B.
Rowland, Lucy
Oliveira, Rafael S.
Bittencourt, Paulo R. L.
Barros, Fernanda V.
da Costa, Antonio C. L.
Meir, Patrick
Friend, Andrew D.
Mencuccini, Maurizio
Sitch, Stephen
Cox, Peter - Abstract:
- 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 terrestrialAbstract : 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'. … (more)
- Is Part Of:
- Philosophical transactions. Volume 373:Number 1760(2018)
- Journal:
- Philosophical transactions
- Issue:
- Volume 373:Number 1760(2018)
- Issue Display:
- Volume 373, Issue 1760 (2018)
- Year:
- 2018
- Volume:
- 373
- Issue:
- 1760
- Issue Sort Value:
- 2018-0373-1760-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-11-19
- Subjects:
- plant hydraulics -- stomatal models -- optimality theory -- drought -- tropical forest
Biology -- Periodicals
Science -- Periodicals
570 - Journal URLs:
- https://royalsocietypublishing.org/loi/rstb ↗
- DOI:
- 10.1098/rstb.2017.0315 ↗
- Languages:
- English
- ISSNs:
- 0962-8436
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 25082.xml