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Effects of mesophyll conductance on vegetation responses to elevated CO 2 concentrations in a land surface model

Knauer, Jürgen; Zaehle, S.; De Kauwe, Martin G.; Abdul Bahar, Nur; Evans, John; Medlyn, Belinda E.; Reichstein, M.; Werner, Christiane

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Mesophyll conductance (gm) is known to affect plant photosynthesis. However, gm is rarely explicitly considered in land surface models (LSMs), with the consequence that its role in ecosystem and large‐scale carbon and water fluxes is poorly understood. In particular, the different magnitudes of gm across plant functional types (PFTs) are expected to cause spatially divergent vegetation responses to elevated CO2 concentrations. Here, an extensive literature compilation of gm across major...[Show more]

dc.contributor.authorKnauer, Jürgen
dc.contributor.authorZaehle, S.
dc.contributor.authorDe Kauwe, Martin G.
dc.contributor.authorAbdul Bahar, Nur
dc.contributor.authorEvans, John
dc.contributor.authorMedlyn, Belinda E.
dc.contributor.authorReichstein, M.
dc.contributor.authorWerner, Christiane
dc.date.accessioned2019-12-17T04:54:25Z
dc.date.available2019-12-17T04:54:25Z
dc.identifier.issn1354-1013
dc.identifier.urihttp://hdl.handle.net/1885/195677
dc.description.abstractMesophyll conductance (gm) is known to affect plant photosynthesis. However, gm is rarely explicitly considered in land surface models (LSMs), with the consequence that its role in ecosystem and large‐scale carbon and water fluxes is poorly understood. In particular, the different magnitudes of gm across plant functional types (PFTs) are expected to cause spatially divergent vegetation responses to elevated CO2 concentrations. Here, an extensive literature compilation of gm across major vegetation types is used to parameterize an empirical model of gm in the LSM JSBACH and to adjust photosynthetic parameters based on simulated An − Ci curves. We demonstrate that an explicit representation of gm changes the response of photosynthesis to environmental factors, which cannot be entirely compensated by adjusting photosynthetic parameters. These altered responses lead to changes in the photosynthetic sensitivity to atmospheric CO2 concentrations which depend both on the magnitude of gm and the climatic conditions, particularly temperature. We then conducted simulations under ambient and elevated (ambient + 200 μmol/mol) CO2 concentrations for contrasting ecosystems and for historical and anticipated future climate conditions (representative concentration pathways; RCPs) globally. The gm‐explicit simulations using the RCP8.5 scenario resulted in significantly higher increases in gross primary productivity (GPP) in high latitudes (+10% to + 25%), intermediate increases in temperate regions (+5% to + 15%), and slightly lower to moderately higher responses in tropical regions (−2% to +5%), which summed up to moderate GPP increases globally. Similar patterns were found for transpiration, but with a lower magnitude. Our results suggest that the effect of an explicit representation of gm is most important for simulated carbon and water fluxes in the boreal zone, where a cold climate coincides with evergreen vegetation.
dc.description.sponsorshipSZ was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 647204; QUINCY). MDK acknowledges support from the Australian Research Council Centre of Excellence for Climate Extremes (CE170100023).
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherBlackwell Publishing Ltd
dc.rights© 2019 The Authors Global Change Biology
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceGlobal Change Biology
dc.subjectelevated CO2 concentrations
dc.subjectland surface modeling
dc.subjectmesophyll conductance
dc.subjectphotosynthetic CO2 sensitivity
dc.subjectrepresentative concentration pathways
dc.titleEffects of mesophyll conductance on vegetation responses to elevated CO 2 concentrations in a land surface model
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume25
dcterms.dateAccepted2019-01-26
dc.date.issued2019-02-26
local.identifier.absfor060705 - Plant Physiology
local.identifier.ariespublicationu5786633xPUB802
local.publisher.urlhttps://onlinelibrary.wiley.com
local.type.statusPublished Version
local.contributor.affiliationKnauer, Jürgen, Max Planck Institute for Biogeochemistry
local.contributor.affiliationZaehle, S., Max-Planck-Institut fur Biogeochemie
local.contributor.affiliationDe Kauwe, Martin G., University of New South Wales
local.contributor.affiliationAbdul Bahar, Nur, College of Science, ANU
local.contributor.affiliationEvans, John, College of Science, ANU
local.contributor.affiliationMedlyn , Belinda E., Western Sydney University
local.contributor.affiliationReichstein, M., Max Planck Institute for Biogeochemistry
local.contributor.affiliationWerner, Christiane, University of Freiburg
dc.relationhttp://purl.org/au-research/grants/arc/CE170100023
local.bibliographicCitation.issue5
local.bibliographicCitation.startpage1820
local.bibliographicCitation.lastpage1838
local.identifier.doi10.1111/gcb.14604
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
dc.date.updated2019-07-28T08:21:06Z
local.identifier.scopusID2-s2.0-85063273581
dcterms.accessRightsOpen Access
dc.provenanceThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.licenseCreative Commons Attribution License
CollectionsANU Research Publications

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