Optimal stomatal behaviour around the world
File(s)Lin_et_al_NCC_merged_all[2034].docx (991.8 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Stomatal conductance (gs) is a key land-surface attribute as it links transpiration, the dominant component of global land evapotranspiration, and photosynthesis, the driving force of the global carbon cycle. Despite the pivotal role of gs in predictions of global water and carbon cycle changes, a global-scale database and an associated globally applicable model of gs that allow predictions of stomatal behaviour are lacking. Here, we present a database of globally distributed gs obtained in the field for a wide range of plant functional types (PFTs) and biomes. We find that stomatal behaviour differs among PFTs according to their marginal carbon cost of water use, as predicted by the theory underpinning the optimal stomatal model1 and the leaf and wood economics spectrum2,3. We also demonstrate a global relationship with climate. These findings provide a robust theoretical framework for understanding and predicting the behaviour of gs across biomes and across PFTs that can be applied to regional, continental and global-scale modelling of ecosystem productivity, energy balance and ecohydrological processes in a future changing climate.
Date Issued
2015-05-01
Date Acceptance
2015-01-16
Citation
Nature Climate Change, 2015, 5 (5), pp.459-464
ISSN
1758-678X
Publisher
Nature Research
Start Page
459
End Page
464
Journal / Book Title
Nature Climate Change
Volume
5
Issue
5
Copyright Statement
© 205 Springer-Verlag. The final publication is available at Springer via https://doi.org/10.1038/nclimate2550.
Sponsor
AXA Research Fund
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000354891900025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
AXA Chair Programme in Biosphere and Climate Impacts
Subjects
Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Environmental Sciences
Environmental Studies
Meteorology & Atmospheric Sciences
Environmental Sciences & Ecology
MODEL
CONVERGENCE
LEAF
Publication Status
Published
Date Publish Online
2015-03-02