Plant profit maximization improves predictions of European forest responses to drought

dc.contributor.authorSabot, Manon E. B.
dc.contributor.authorDe Kauwe, Martin G.
dc.contributor.authorPitman, Andy J.
dc.contributor.authorMedlyn, Belinda E.
dc.contributor.authorVerhoef, Anne
dc.contributor.authorAbramowitz, Gab
dc.contributor.authorUkkola, Anna
dc.date.accessioned2022-10-18T04:05:44Z
dc.date.available2022-10-18T04:05:44Z
dc.date.issued2020-01-27
dc.date.updated2021-11-28T07:23:46Z
dc.description.abstractKnowledge of how water stress impacts the carbon and water cycles is a key uncertainty in terrestrial biosphere models. We tested a new profit maximization model, where photosynthetic uptake of CO2 is optimally traded against plant hydraulic function, as an alternative to the empirical functions commonly used in models to regulate gas exchange during periods of water stress. We conducted a multi-site evaluation of this model at the ecosystem scale, before and during major droughts in Europe. Additionally, we asked whether the maximum hydraulic conductance in the soil-plant continuum k(max) (a key model parameter which is not commonly measured) could be predicted from long-term site climate. Compared with a control model with an empirical soil moisture function, the profit maximization model improved the simulation of evapotranspiration during the growing season, reducing the normalized mean square error by c. 63%, across mesic and xeric sites. We also showed that k(max) could be estimated from long-term climate, with improvements in the simulation of evapotranspiration at eight out of the 10 forest sites during drought. Although the generalization of this approach is contingent upon determining k(max), it presents a mechanistic trait-based alternative to regulate canopy gas exchange in global models.en_AU
dc.description.sponsorshipMEBS, MDK, AJP, AMU, and GA acknowledge support fromthe Australian Research Council Centre of Excellence for Climate Extremes (CE170100023). MEBS also acknowledges supportfrom the UNSW Scientia PhD Scholarship Scheme. MDKacknowledges support from the ARC Discovery Grant(DP190101823) and the NSW Research Attraction and Acceler-ation Program. AV acknowledges support from the Natural Envi-ronment Research Council grants NE/N012488/1 and NE/L010488/1.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0028-646Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/275596
dc.language.isoen_AUen_AU
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/15984..."Author Accepted Manuscript can be made open access on non-commercial institutional repository after 12 month embargo" from SHERPA/RoMEO site (as at 18.10.2022).en_AU
dc.publisherCambridge University Pressen_AU
dc.relationhttp://purl.org/au-research/grants/arc/CE170100023en_AU
dc.rights© 2020 The Authors and New Phytologist Trusten_AU
dc.sourceNew Phytologisten_AU
dc.subjectcanopy gas exchangeen_AU
dc.subjecthydraulic trait adjustments to climateen_AU
dc.subjectland surface modelsen_AU
dc.subjectplant optimalityen_AU
dc.subjectplant profit maximizationen_AU
dc.subjectplant trait coordinationen_AU
dc.subjectvegetation drought responsesen_AU
dc.titlePlant profit maximization improves predictions of European forest responses to droughten_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
dcterms.dateAccepted2019-12-03
local.bibliographicCitation.issue6en_AU
local.bibliographicCitation.lastpage1655en_AU
local.bibliographicCitation.startpage1638en_AU
local.contributor.affiliationSabot, Manon E. B., University of New South Walesen_AU
local.contributor.affiliationDe Kauwe, Martin G., University of New South Walesen_AU
local.contributor.affiliationPitman, Andy J., Macquarie Universityen_AU
local.contributor.affiliationMedlyn , Belinda E., Western Sydney Universityen_AU
local.contributor.affiliationVerhoef, Anne, The University of Readingen_AU
local.contributor.affiliationAbramowitz, Gab, University of New South Walesen_AU
local.contributor.affiliationUkkola, Anna, College of Science, ANUen_AU
local.contributor.authoremailu1058763@anu.edu.auen_AU
local.contributor.authoruidUkkola, Anna, u1058763en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor370903 - Natural hazardsen_AU
local.identifier.absfor370200 - Climate change scienceen_AU
local.identifier.ariespublicationa383154xPUB17136en_AU
local.identifier.citationvolume226en_AU
local.identifier.doi10.1111/nph.16376en_AU
local.identifier.scopusID2-s2.0-85078808895
local.identifier.thomsonID000509357100001
local.identifier.uidSubmittedBya383154en_AU
local.publisher.urlhttps://nph.onlinelibrary.wiley.com/en_AU
local.type.statusAccepted Versionen_AU

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