Optimal stomatal behaviour around the world
Yan-Shih Lin
(1)
,
Belinda E. Medlyn
(1)
,
Remko A. Duursma
(2)
,
I. Colin Prentice
(1)
,
Han Wan
(3, 1)
,
Sofia Baig
(1)
,
Derek Eamus
(4)
,
Victor resco de Dios
(5)
,
Patrick Mitchell
(6)
,
David S. Ellsworth
(2)
,
Maarten Op de Beeck
(7)
,
Göran Wallin
(8)
,
Johan Uddling
(8)
,
Lasse Tarvainen
(9)
,
Maj-Lena Linderson
(10)
,
Lucas A. Cernusak
(11)
,
Jesse B. Nippert
(12)
,
Troy W. Ocheltree
(13)
,
David T. Tissue
(1)
,
Nicolas Martin-StPaul
(14)
,
Alistair Rogers
(15)
,
Jeff M. Warren
(16)
,
Paolo de Angelis
(17)
,
Kouki Hikosaka
(18)
,
Qingmin Han
(19)
,
Yusuke Onoda
(20)
,
Teresa E. Gimeno
(1)
,
Craig V. M. Barton
(2)
,
Jonathan Bennie
(21)
,
Damien Bonal
(22)
,
Alexandre Bosc
(23)
,
Markus Löw
(24)
,
Cate Macinins-Ng
(25)
,
Ana Rey
(26)
,
Lucy Rowland
(27)
,
Samantha A. Setterfield
(28)
,
Sabine Tausz-Posch
(24)
,
Joana Zaragoza-Castells
(27)
,
Mark S. J. Broadmeadow
(29)
,
John E. Drake
(2)
,
Michael Freeman
(9)
,
Oula Ghannoum
(2)
,
Lindsay b. Hutley
(28)
,
Jeff W. Kelly
(1)
,
Kihachiro Kikuzawa
(30)
,
Pasi Kolari
(31)
,
Kohei Koyama
(32, 30)
,
Jean-Marc Limousin
,
Patrick Meir
(27)
,
Antonio C. Lola da Costa
(33)
,
Teis N. Mikkelsen
(34)
,
Norma Salinas
(35, 36)
,
Wei Sun
(37)
,
Lisa Wingate
(23)
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 = Sveriges lantbruksuniversitet
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 [España] = Spanish National Research Council [Spain]
27 Edin. - 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
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 = Sveriges lantbruksuniversitet
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 [España] = Spanish National Research Council [Spain]
27 Edin. - 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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- PersonId : 1011923
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I. Colin Prentice
- Fonction : Auteur
- PersonId : 771362
- ORCID : 0000-0002-1296-6764
David S. Ellsworth
- Fonction : Auteur
- PersonId : 781943
- ORCID : 0000-0002-9699-2272
Lucas A. Cernusak
- Fonction : Auteur
- PersonId : 758719
- ORCID : 0000-0002-7575-5526
Nicolas Martin-StPaul
- Fonction : Auteur
- PersonId : 1137416
- IdHAL : nicolas-martin-inrae
- ORCID : 0000-0001-7574-0108
Qingmin Han
- Fonction : Auteur
- PersonId : 783300
- ORCID : 0000-0001-6063-6068
Damien Bonal
- Fonction : Auteur
- PersonId : 184161
- IdHAL : damien-bonal
- ORCID : 0000-0001-9602-8603
- IdRef : 145309525
Alexandre Bosc
- Fonction : Auteur
- PersonId : 744686
- IdHAL : alexandre-bosc
- ORCID : 0000-0002-7467-2577
- IdRef : 168066793
Lucy Rowland
- Fonction : Auteur
- PersonId : 775070
- ORCID : 0000-0002-0774-3216
Jean-Marc Limousin
- Fonction : Auteur
Résumé
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.