eCite Digital Repository

Optimal stomatal behaviour around the world

Citation

Lin, Y-S and Medlyn, BE and Duursma, RA and Prentice, IC and Wang, H and Baig, S and Eamus, D and De Dios, VR and Mitchell, P and Ellsworth, DS and De Beeck, MO and Wallin, G and Uddling, J and Tarvainen, L and Linderson, M-L and Cernusak, LA and Nippert, JB and Ocheltree, TW and Tissue, DT and Martin-St Paul, NK and Rogers, A and Warren, JM and De Angelis, P and Hikosaka, K and Han, Q and Onoda, Y and Gimeno, TE and Barton, CVM and Bennie, J and Bonal, D and Bosc, A and Low, M and Macinins-Ng, C and Rey, A and Rowland, L and Setterfield, SA and Tausz-Posch, S and Zaragoza-Castells, J and Broadmeadow, MSJ and Drake, JE and Freeman, M and Ghannoum, O and Hutley, LB and Kelly, JW and Kikuzawa, K and Kolari, P and Koyama, K and Limousin, J-M and Meir, P and Da Costa, ACL and Mikkelsen, TN and Salinas, N and Sun, W and Wingate, L, Optimal stomatal behaviour around the world, Nature Climate Change, 5, (5) pp. 459-464. ISSN 1758-678X (2015) [Refereed Article]

Copyright Statement

2015 Macmillan Publishers

DOI: doi:10.1038/nclimate2550

Abstract

Stomatal conductance (g s) 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 g s in predictions of global water and carbon cycle changes, a global-scale database and an associated globally applicable model of g s that allow predictions of stomatal behaviour are lacking. Here, we present a database of globally distributed g s 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 model and the leaf and wood economics spectrum. We also demonstrate a global relationship with climate. These findings provide a robust theoretical framework for understanding and predicting the behaviour of g s 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.

Item Details

Item Type:Refereed Article
Keywords:biome, carbon cycle, carbon dioxide, global change, numerical model, physiology, prediction, stomatal conductance, transpiration
Research Division:Biological Sciences
Research Group:Plant Biology
Research Field:Plant Physiology
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Ecosystem Adaptation to Climate Change
Author:Mitchell, P (Dr Patrick Mitchell)
ID Code:117921
Year Published:2015
Web of Science® Times Cited:75
Deposited By:Plant Science
Deposited On:2017-06-29
Last Modified:2017-08-07
Downloads:0

Repository Staff Only: item control page