Modelling tropical forest responses to drought and El Nino with a stomatal optimization model based on xylem hydraulics
-
Altmetric Citations
Eller, Cleiton B.; Rowland, L.; Oliveira, Rafael; Bittencourt, Paulo L.; Barros, Fernanda V.; da Costa, Antonio Carlos Lola; Meir, Patrick; Friend, Andrew D.; Mencuccini, Maurizio; Sitch, Stephen; Cox, Peter M.
Description
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...[Show more]
dc.contributor.author | Eller, Cleiton B. | |
---|---|---|
dc.contributor.author | Rowland, L. | |
dc.contributor.author | Oliveira, Rafael | |
dc.contributor.author | Bittencourt, Paulo L. | |
dc.contributor.author | Barros, Fernanda V. | |
dc.contributor.author | da Costa, Antonio Carlos Lola | |
dc.contributor.author | Meir, Patrick | |
dc.contributor.author | Friend, Andrew D. | |
dc.contributor.author | Mencuccini, Maurizio | |
dc.contributor.author | Sitch, Stephen | |
dc.contributor.author | Cox, Peter M. | |
dc.date.accessioned | 2019-04-15T11:52:48Z | |
dc.identifier.issn | 0962-8436 | |
dc.identifier.uri | http://hdl.handle.net/1885/159677 | |
dc.description.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’. | |
dc.description.sponsorship | This study was funded by the Newton Fund through the Met. Office Climate Science for Service Partnership Brazil (CSSP Brazil), UK NERC independent fellowship grant no. NE/N014022/1 to L.R., UK NERC grant no. NE/J010154/1 to S.S., UK NERC grant no. NE/J011002 to S.S., P.M. and M.M., ARC grant DP170104091 to P.M., and CNPQ grant no. 457914/2013-0/MCTI/CNPq/FNDCT/ LBA/ESECAFLOR to A.C.L.d.C. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_AU | |
dc.publisher | Royal Society of London | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Philosophical Transactions of the Royal Society of London Series B | |
dc.title | Modelling tropical forest responses to drought and El Nino with a stomatal optimization model based on xylem hydraulics | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 373 | |
dc.date.issued | 2018 | |
local.identifier.absfor | 060799 - Plant Biology not elsewhere classified | |
local.identifier.ariespublication | u4485658xPUB1339 | |
local.type.status | Published Version | |
local.contributor.affiliation | Eller, Cleiton B, University of Exeter | |
local.contributor.affiliation | Rowland, L, University of Edinburgh | |
local.contributor.affiliation | Oliveira, Rafael, University of Campinas, Brazil | |
local.contributor.affiliation | Bittencourt, Paulo L., Instituto de Biologia | |
local.contributor.affiliation | Barros, Fernanda V, University of Campinas | |
local.contributor.affiliation | da Costa, Antonio Carlos Lola , Universidade Federal do Para | |
local.contributor.affiliation | Meir, Patrick, College of Science, ANU | |
local.contributor.affiliation | Friend, Andrew D, University of Cambridge | |
local.contributor.affiliation | Mencuccini, Maurizio, CREAF | |
local.contributor.affiliation | Sitch, Stephen, University of Exeter | |
local.contributor.affiliation | Cox, Peter M, University of Exeter | |
dc.relation | http://purl.org/au-research/grants/arc/DP170104091 | |
local.bibliographicCitation.issue | 1760 | |
local.identifier.doi | 10.1098/rstb.2017.0315 | |
local.identifier.absseo | 970106 - Expanding Knowledge in the Biological Sciences | |
dc.date.updated | 2019-03-12T07:28:44Z | |
local.identifier.scopusID | 2-s2.0-85054774553 | |
dcterms.accessRights | Open Access | |
dc.provenance | Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. | |
dc.rights.license | Creative Commons Attribution License | |
Collections | ANU Research Publications |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Eller_Modelling_tropical_forest_2018.pdf | 1.25 MB | Adobe PDF | Request a copy |
This item is licensed under a Creative Commons License
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator