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Journal Articles Nature Climate Change Year : 2015

Optimal stomatal behaviour around the world

1 Macquarie University
2 HIE - Hawkesbury Institute for the Environment [Richmond]
3 Imperial College London
4 UTS - University of Technology Sydney
5 Universitat de Lleida
6 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
7 Universiteit Antwerpen = University of Antwerpen [Antwerpen]
8 GU - Göteborgs Universitet = University of Gothenburg
9 SLU - Swedish University of Agricultural Sciences
10 Skane University Hospital [Lund]
11 JCU - James Cook University
12 Kansas State University
13 CSU - Colorado State University [Fort Collins]
14 ESE - Ecologie Systématique et Evolution
15 BNL - Brookhaven National Laboratory [Upton, NY]
16 ORNL - Oak Ridge National Laboratory [Oak Ridge]
17 Università degli studi della Tuscia [Viterbo]
18 Tohoku University [Sendai]
19 FFPRI - Forestry and Forest Products Research Institute
20 Kyoto University
21 University of Exeter
22 EEF - Ecologie et Ecophysiologie Forestières [devient SILVA en 2018]
23 UMR ISPA - Interactions Sol Plante Atmosphère
24 University of Melbourne
25 University of Auckland [Auckland]
26 CSIC - Consejo Superior de Investigaciones Cientificas = Spanish National Research Council
27 University of Edinburgh
28 Charles Darwin University [Australia]
29 Forestry Commission
30 Ishikawa National College of Technology
31 Helsingin yliopisto = Helsingfors universitet = University of Helsinki
32 Obihiro University of Agriculture and Veterinary Medicine
33 UFPA - Federal University of Para - Universidade Federal do Pará - UFPA [Belém, Brazil]
34 DTU - Danmarks Tekniske Universitet = Technical University of Denmark
35 PUCP - Pontificia Universidad Católica del Perú = Pontifical Catholic University of Peru
36 SoGE - School of Geography and the Environment [Oxford]
37 Northeast Normal University
Yan-Shih Lin
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I. Colin Prentice
Sofia Baig
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Lucas A. Cernusak
Yusuke Onoda
Alexandre Bosc
Lucy Rowland
Jean-Marc Limousin
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Wei Sun
Lisa Wingate
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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(1) and the leaf and wood economics spectrum(2,3). We also demonstrate a global relationship with climate. These findin g(s) 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.

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Yan-Shih Lin, Belinda E. Medlyn, Remko A. Duursma, I. Colin Prentice, Han Wan, et al.. Optimal stomatal behaviour around the world. Nature Climate Change, 2015, 5 (5), pp.459 - 464. ⟨10.1038/nclimate2550⟩. ⟨hal-01557450⟩
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