Literature DB >> 28574148

How do leaf and ecosystem measures of water-use efficiency compare?

Belinda E Medlyn1, Martin G De Kauwe2, Yan-Shih Lin2,3, Jürgen Knauer1,4, Remko A Duursma1, Christopher A Williams1,5, Almut Arneth6, Rob Clement7, Peter Isaac8, Jean-Marc Limousin9, Maj-Lena Linderson10, Patrick Meir7,11, Nicolas Martin-StPaul12, Lisa Wingate13.   

Abstract

The terrestrial carbon and water cycles are intimately linked: the carbon cycle is driven by photosynthesis, while the water balance is dominated by transpiration, and both fluxes are controlled by plant stomatal conductance. The ratio between these fluxes, the plant water-use efficiency (WUE), is a useful indicator of vegetation function. WUE can be estimated using several techniques, including leaf gas exchange, stable isotope discrimination, and eddy covariance. Here we compare global compilations of data for each of these three techniques. We show that patterns of variation in WUE across plant functional types (PFTs) are not consistent among the three datasets. Key discrepancies include the following: leaf-scale data indicate differences between needleleaf and broadleaf forests, but ecosystem-scale data do not; leaf-scale data indicate differences between C3 and C4 species, whereas at ecosystem scale there is a difference between C3 and C4 crops but not grasslands; and isotope-based estimates of WUE are higher than estimates based on gas exchange for most PFTs. Our study quantifies the uncertainty associated with different methods of measuring WUE, indicates potential for bias when using WUE measures to parameterize or validate models, and indicates key research directions needed to reconcile alternative measures of WUE.
© 2017 The Authors. New Phytologist © 2017 New Phytologist Trust.

Entities:  

Keywords:  eddy covariance; leaf gas exchange; plant functional type (PFT); stable isotopes; stomatal conductance; water-use efficiency

Mesh:

Substances:

Year:  2017        PMID: 28574148     DOI: 10.1111/nph.14626

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  13 in total

1.  Global tree intrinsic water use efficiency is enhanced by increased atmospheric CO2 and modulated by climate and plant functional types.

Authors:  Justin M Mathias; Richard B Thomas
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-16       Impact factor: 11.205

2.  Physiological response of Swiss ecosystems to 2018 drought across plant types and elevation.

Authors:  Mana Gharun; Lukas Hörtnagl; Eugénie Paul-Limoges; Shiva Ghiasi; Iris Feigenwinter; Susanne Burri; Kristiina Marquardt; Sophia Etzold; Roman Zweifel; Werner Eugster; Nina Buchmann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-09-07       Impact factor: 6.237

3.  Non-stomatal processes reduce gross primary productivity in temperate forest ecosystems during severe edaphic drought.

Authors:  Louis Gourlez de la Motte; Quentin Beauclaire; Bernard Heinesch; Mathias Cuntz; Lenka Foltýnová; Ladislav Šigut; Natalia Kowalska; Giovanni Manca; Ignacio Goded Ballarin; Caroline Vincke; Marilyn Roland; Andreas Ibrom; Denis Lousteau; Lukas Siebicke; Johan Neiryink; Bernard Longdoz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-09-07       Impact factor: 6.237

4.  Aerosol Impacts on Water Relations of Camphor (Cinnamomum camphora).

Authors:  Chia-Ju Ellen Chi; Daniel Zinsmeister; I-Ling Lai; Shih-Chieh Chang; Yau-Lun Kuo; Jürgen Burkhardt
Journal:  Front Plant Sci       Date:  2022-06-20       Impact factor: 6.627

5.  Mangroves provide blue carbon ecological value at a low freshwater cost.

Authors:  Ken W Krauss; Catherine E Lovelock; Luzhen Chen; Uta Berger; Marilyn C Ball; Ruth Reef; Ronny Peters; Hannah Bowen; Alejandra G Vovides; Eric J Ward; Marie-Christin Wimmler; Joel Carr; Pete Bunting; Jamie A Duberstein
Journal:  Sci Rep       Date:  2022-10-21       Impact factor: 4.996

6.  Increased water-use efficiency and reduced CO2 uptake by plants during droughts at a continental-scale.

Authors:  Wouter Peters; Ivar R van der Velde; Erik van Schaik; John B Miller; Philippe Ciais; Henrique F Duarte; Ingrid T van der Laan-Luijkx; Michiel K van der Molen; Marko Scholze; Kevin Schaefer; Pier Luigi Vidale; Anne Verhoef; David Wårlind; Dan Zhu; Pieter P Tans; Bruce Vaughn; James W C White
Journal:  Nat Geosci       Date:  2018-08-27       Impact factor: 16.908

7.  A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types.

Authors:  Teresa E Gimeno; Noelia Saavedra; Jérôme Ogée; Belinda E Medlyn; Lisa Wingate
Journal:  J Exp Bot       Date:  2019-03-11       Impact factor: 6.992

8.  Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks.

Authors:  Gianluca Tramontana; Mirco Migliavacca; Martin Jung; Markus Reichstein; Trevor F Keenan; Gustau Camps-Valls; Jerome Ogee; Jochem Verrelst; Dario Papale
Journal:  Glob Chang Biol       Date:  2020-07-02       Impact factor: 13.211

9.  Bigleaf-An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data.

Authors:  Jürgen Knauer; Tarek S El-Madany; Sönke Zaehle; Mirco Migliavacca
Journal:  PLoS One       Date:  2018-08-14       Impact factor: 3.240

10.  Quantifying Light Response of Leaf-Scale Water-Use Efficiency and Its Interrelationships With Photosynthesis and Stomatal Conductance in C3 and C4 Species.

Authors:  Zi-Piao Ye; Yu Ling; Qiang Yu; Hong-Lang Duan; Hua-Jing Kang; Guo-Min Huang; Shi-Hua Duan; Xian-Mao Chen; Yu-Guo Liu; Shuang-Xi Zhou
Journal:  Front Plant Sci       Date:  2020-04-24       Impact factor: 5.753

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