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Optimal stomatal behaviour around the world

Lin, Yan-Shih, Medlyn, Belinda E., Duursma, Remko A., Prentice, I. Colin, Wang, Han, Baig, Sofia, Eamus, Derek, de Dios Resco, Victor, Mitchell, Patrick, Ellsworth, David S., Op de Beeck, Maarten, Wallin, Goran, Uddling, Johan, Tarvainen, Lasse, Linderson, Maj-Lena, Cernusak, Lucas A., Nippert, Jesse B., Ocheltree, Troy W., Setterfield, Samantha A., Hutley, Lindsay B. and et al. (2015). Optimal stomatal behaviour around the world. Nature Climate Change,5(5):459-464.

Document type: Journal Article
Citation counts: Altmetric Score Altmetric Score is 41
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IRMA ID 75039815xPUB874
Title Optimal stomatal behaviour around the world
Author Lin, Yan-Shih
Medlyn, Belinda E.
Duursma, Remko A.
Prentice, I. Colin
Wang, Han
Baig, Sofia
Eamus, Derek
de Dios Resco, Victor
Mitchell, Patrick
Ellsworth, David S.
Op de Beeck, Maarten
Wallin, Goran
Uddling, Johan
Tarvainen, Lasse
Linderson, Maj-Lena
Cernusak, Lucas A.
Nippert, Jesse B.
Ocheltree, Troy W.
Setterfield, Samantha A.
Hutley, Lindsay B.
et al.
Journal Name Nature Climate Change
Publication Date 2015
Volume Number 5
Issue Number 5
ISSN 1758-6798   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-84928526047
Start Page 459
End Page 464
Total Pages 6
Place of Publication United Kingdom
Publisher Nature Publishing Group
Field of Research ENVIRONMENTAL SCIENCES
HERDC Category C1 - Journal Article (DIISR)
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.
Keywords Biogeography
Climate and Earth system modelling
Ecological modelling
Ecophysiology
DOI http://dx.doi.org/10.1038/nclimate2550   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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