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Optimal stomatal behaviour around the world

  • Yan Shih Lin
  • , Belinda E. Medlyn
  • , Remko A. Duursma
  • , I. Colin Prentice
  • , Han Wang
  • , Sofia Baig
  • , Derek Eamus
  • , Victor Resco De Dios
  • , Patrick Mitchell
  • , David S. Ellsworth
  • , Maarten Op De Beeck
  • , Göran Wallin
  • , Johan Uddling
  • , Lasse Tarvainen
  • , Maj Lena Linderson
  • , Lucas A. Cernusak
  • , Jesse B. Nippert
  • , Troy W. Ocheltree
  • , David T. Tissue
  • , Nicolas K. Martin-StPaul
  • Alistair Rogers, Jeff M. Warren, Paolo De Angelis, Kouki Hikosaka, Qingmin Han, Yusuke Onoda, Teresa E. Gimeno, Craig V.M. Barton, Jonathan Bennie, Damien Bonal, Alexandre Bosc, Markus Löw, Cate Macinins-Ng, Ana Rey, Lucy Rowland, Samantha A. Setterfield, Sabine Tausz-Posch, Joana Zaragoza-Castells, Mark S.J. Broadmeadow, John E. Drake, Michael Freeman, Oula Ghannoum, Lindsay B. Hutley, Jeff W. Kelly, Kihachiro Kikuzawa, Pasi Kolari, Kohei Koyama, Jean Marc Limousin, Patrick Meir, Antonio C.Lola Da Costa, Teis N. Mikkelsen, Norma Salinas, Wei Sun, Lisa Wingate
  • Macquarie University
  • Western Sydney University
  • Imperial College London
  • University of Technology Sydney
  • University of Lleida
  • CSIRO
  • University of Antwerp
  • University of Gothenburg
  • Swedish University of Agricultural Sciences
  • Lund University
  • James Cook University Queensland
  • Kansas State University
  • Colorado State University
  • Université Paris-Saclay
  • Brookhaven National Laboratory
  • Oak Ridge National Laboratory
  • Tuscia University
  • Tohoku University
  • Forestry and Forest Products Research Institute
  • Kyoto University
  • University of Exeter
  • INRAE
  • University of Melbourne
  • The University of Auckland
  • Museo Nacional de Ciencias Naturales CSIC
  • University of Edinburgh
  • Charles Darwin University
  • Forestry Commission England
  • Ishikawa Prefectural University
  • University of Helsinki
  • Obihiro University of Agriculture and Veterinary Medicine
  • University of New Mexico
  • Universidade Federal do Pará
  • Technical University of Denmark
  • Pontificia Universidad Católica del Perú
  • University of Oxford
  • Northeast Normal University

Research output: Contribution to journalArticlepeer-review

470 Scopus citations

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.

Original languageEnglish
Pages (from-to)459-464
Number of pages6
JournalNature Climate Change
Volume5
Issue number5
DOIs
StatePublished - May 28 2015

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