Author

Lin, Yan-Shih

Medlyn, Belinda E.

Duursma, Remko A.

Prentice, I. Colin

Wang, Han

Baig, Sofia

Eamus, Derek

Resco de Dios, Víctor

Mitchell, Patrick

Ellsworth, David S.

Op de Beeck, Maarten

Wallin, Göran

Uddling, Johan

Tarvainen, Lasse

Linderson, Maj-Lena

Cernusak, Lucas A.

Nippert, Jesse B.

Ocheltree, Troy W.

Tissue, David T.

Martin-StPaul, Nicolas K.

Rogers, Alistair

Warren, Jeff M.

De Angelis, Paolo

Hikosaka, Kouki

Han, Qingmin

Onoda, Yusuke

Gimeno, Teresa E.

Barton, Craig V. M.

Bennie, Jonathan

Bonal, Damien

Bosc, Alexandre

Löw, Markus

Macinins-Ng, Cate

Rey, Ana

Rowland, Lucy

Setterfield, Samantha A.

Tausz-Posch, Sabine

Zaragoza-Castells, Joana

Broadmeadow, Mark S. J.

Drake, John E.

Freeman, Michael

Ghannoum, Oula

Hutley, Lindsay B.

Kelly, Jeff W.

Kikuzawa, Kihachiro

Kolari, Pasi

Koyama, Kohei

Limousin, Jean-Marc

Meir, Patrick

Lola da Costa, Antonio C.

Mikkelsen, Teis N.

Salinas, Norma

Sun, Wei

Wingate, Lisa

Publication date

2018-11-08T08:47:38Z

2018-11-08T08:47:38Z

2015



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.


This research was supported by the Australian Research Council (ARC MIA Discovery Project 1433500-2012-14). A.R. was financially supported in part by The Next-Generation Ecosystem Experiments (NGEE-Arctic) project, which is supported by the Office of Biological and Environmental Research in the Department of Energy, Office of Science, and through the United States Department of Energy contract No. DE-AC02-98CH10886 to Brookhaven National Laboratory. M.O.d.B. acknowledges that the Brassica data were obtained within a research project financed by the Belgian Science Policy (OFFQ, contract number SD/AF/02) and coordinated by K. Vandermeiren at the Open-Top Chamber research facilities of CODA-CERVA (Tervuren, Belgium).

Document Type

Article
Accepted version

Language

English

Publisher

Nature Publishing Group

Related items

Versió postprint del document publicat a https://doi.org/10.1038/nclimate2550

Nature Climate Change, vol. 5, p. 459-464

Rights

(c) Nature Publishing Group, 2015

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