Optimal stomatal behaviour around the world

TitleOptimal stomatal behaviour around the world
Publication TypeJournal Article
Year of Publication2015
AuthorsLin, Yan-Shih, Medlyn Belinda E., Duursma Remko A., I. Prentice Colin, Wang Han, Baig Sofia, Eamus Derek, de Dios Victor R., Mitchell Patrick, Ellsworth David S., de Beeck Maarten Op, 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 Jeffery 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  B., Kelly Jeff W., Kikuzawa Kihachiro, Kolari Pasi, Koyama Kohei, Limousin Jean-Marc, Meir Patrick, da Costa Antonio C. Lola, Mikkelsen Teis N., Salinas Norma, Sun Wei, and Wingate Lisa
JournalNature Climate Change
Pagination459 - 464
Date PublishedFeb-03-2015

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.

Short TitleNature Climate change