Effects of mesophyll conductance on vegetation responses to elevated CO 2 concentrations in a land surface model
dc.contributor.author | Knauer, Jürgen | |
dc.contributor.author | Zaehle, S. | |
dc.contributor.author | De Kauwe, Martin G. | |
dc.contributor.author | Abdul Bahar, Nur | |
dc.contributor.author | Evans, John | |
dc.contributor.author | Medlyn, Belinda E. | |
dc.contributor.author | Reichstein, M. | |
dc.contributor.author | Werner, Christiane | |
dc.date.accessioned | 2019-12-17T04:54:25Z | |
dc.date.available | 2019-12-17T04:54:25Z | |
dc.date.issued | 2019-02-26 | |
dc.date.updated | 2019-07-28T08:21:06Z | |
dc.description.abstract | 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 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. | en_AU |
dc.description.sponsorship | SZ 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). | en_AU |
dc.format.mimetype | application/pdf | en_AU |
dc.identifier.issn | 1354-1013 | en_AU |
dc.identifier.uri | http://hdl.handle.net/1885/195677 | |
dc.language.iso | en_AU | en_AU |
dc.provenance | This 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. | en_AU |
dc.publisher | Blackwell Publishing Ltd | en_AU |
dc.relation | http://purl.org/au-research/grants/arc/CE170100023 | en_AU |
dc.rights | © 2019 The Authors Global Change Biology | en_AU |
dc.rights.license | Creative Commons Attribution License | en_AU |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_AU |
dc.source | Global Change Biology | en_AU |
dc.subject | elevated CO2 concentrations | en_AU |
dc.subject | land surface modeling | en_AU |
dc.subject | mesophyll conductance | en_AU |
dc.subject | photosynthetic CO2 sensitivity | en_AU |
dc.subject | representative concentration pathways | en_AU |
dc.title | Effects of mesophyll conductance on vegetation responses to elevated CO 2 concentrations in a land surface model | en_AU |
dc.type | Journal article | en_AU |
dcterms.accessRights | Open Access | en_AU |
dcterms.dateAccepted | 2019-01-26 | |
local.bibliographicCitation.issue | 5 | en_AU |
local.bibliographicCitation.lastpage | 1838 | en_AU |
local.bibliographicCitation.startpage | 1820 | en_AU |
local.contributor.affiliation | Knauer, Jürgen, Max Planck Institute for Biogeochemistry | en_AU |
local.contributor.affiliation | Zaehle, S., Max-Planck-Institut fur Biogeochemie | en_AU |
local.contributor.affiliation | De Kauwe, Martin G., University of New South Wales | en_AU |
local.contributor.affiliation | Abdul Bahar, Nur, College of Science, ANU | en_AU |
local.contributor.affiliation | Evans, John, College of Science, ANU | en_AU |
local.contributor.affiliation | Medlyn , Belinda E., Western Sydney University | en_AU |
local.contributor.affiliation | Reichstein, M., Max Planck Institute for Biogeochemistry | en_AU |
local.contributor.affiliation | Werner, Christiane, University of Freiburg | en_AU |
local.contributor.authoremail | u4512707@anu.edu.au | en_AU |
local.contributor.authoruid | Abdul Bahar, Nur, u4512707 | en_AU |
local.contributor.authoruid | Evans, John, u8802050 | en_AU |
local.description.notes | Imported from ARIES | en_AU |
local.identifier.absfor | 060705 - Plant Physiology | en_AU |
local.identifier.absseo | 970106 - Expanding Knowledge in the Biological Sciences | en_AU |
local.identifier.ariespublication | u5786633xPUB802 | en_AU |
local.identifier.citationvolume | 25 | en_AU |
local.identifier.doi | 10.1111/gcb.14604 | en_AU |
local.identifier.scopusID | 2-s2.0-85063273581 | |
local.identifier.uidSubmittedBy | u5786633 | en_AU |
local.publisher.url | https://onlinelibrary.wiley.com | en_AU |
local.type.status | Published Version | en_AU |
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