Literature DB >> 31659806

Mesophyll conductance in land surface models: effects on photosynthesis and transpiration.

Jürgen Knauer1,2, Sönke Zaehle2,3, Martin G De Kauwe4, Vanessa Haverd1, Markus Reichstein2,3, Ying Sun5.   

Abstract

The CO2 transfer conductance within plant leaves (mesophyll conductance, gm ) is currently not considered explicitly in most land surface models (LSMs), but instead treated implicitly as an intrinsic property of the photosynthetic machinery. Here, we review approaches to overcome this model deficiency by explicitly accounting for gm , which comprises the re-adjustment of photosynthetic parameters and a model describing the variation of gm in dependence of environmental conditions. An explicit representation of gm causes changes in the response of photosynthesis to environmental factors, foremost leaf temperature, and ambient CO2 concentration, which are most pronounced when gm is small. These changes in leaf-level photosynthesis translate into a stronger climate and CO2 response of gross primary productivity (GPP) and transpiration at the global scale. The results from two independent studies show consistent latitudinal patterns of these effects with biggest differences in GPP in the boreal zone (up to ~15%). Transpiration and evapotranspiration show spatially similar, but attenuated, changes compared with GPP. These changes are indirect effects of gm caused by the assumed strong coupling between stomatal conductance and photosynthesis in current LSMs. Key uncertainties in these simulations are the variation of gm with light and the robustness of its temperature response across plant types and growth conditions. Future research activities focusing on the response of gm to environmental factors and its relation to other plant traits have the potential to improve the representation of photosynthesis in LSMs and to better understand its present and future role in the Earth system.
© 2019 The Authors The Plant Journal © 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  Earth system modelling; leaf internal CO2 transfer; photosynthesis; plant gas exchange; transpiration

Mesh:

Substances:

Year:  2019        PMID: 31659806     DOI: 10.1111/tpj.14587

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  3 in total

1.  Global decadal variability of plant carbon isotope discrimination and its link to gross primary production.

Authors:  Aliénor Lavergne; Deborah Hemming; Iain Colin Prentice; Rossella Guerrieri; Rebecca J Oliver; Heather Graven
Journal:  Glob Chang Biol       Date:  2021-10-18       Impact factor: 13.211

2.  Linking canopy-scale mesophyll conductance and phloem sugar δ13 C using empirical and modelling approaches.

Authors:  Pauliina Schiestl-Aalto; Zsofia R Stangl; Lasse Tarvainen; Göran Wallin; John Marshall; Annikki Mäkelä
Journal:  New Phytol       Date:  2020-12-19       Impact factor: 10.151

3.  Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models.

Authors:  Chiara Amitrano; Giovanni Battista Chirico; Stefania De Pascale; Youssef Rouphael; Veronica De Micco
Journal:  Sensors (Basel)       Date:  2020-05-31       Impact factor: 3.576

  3 in total

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