Alternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Data

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dc.contributor.authorThomas, R. Quinnen
dc.contributor.authorWilliams, M.en
dc.contributor.authorCavaleri, M. A.en
dc.contributor.authorExbrayat, J. -F.en
dc.contributor.authorSmallman, T. L.en
dc.contributor.authorStreet, L. E.en
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2021-09-14T16:37:34Zen
dc.date.available2021-09-14T16:37:34Zen
dc.date.issued2019-12-25en
dc.date.updated2021-09-14T16:37:32Zen
dc.description.abstractLeaf maintenance respiration (Rleaf,m) is a major but poorly understood component of the terrestrial carbon cycle (C). Earth systems models (ESMs) use simple sub-models relating Rleaf,m to leaf traits, applied at canopy scale. Rleaf,m models vary depending on which leaf N traits they incorporate (e.g., mass or area based) and the form of relationship (linear or nonlinear). To simulate vegetation responses to global change, some ESMs include ecological optimization to identify canopy structures that maximize net C accumulation. However, the implications for optimization of using alternate leaf-scale empirical Rleaf,m models are undetermined. Here we combine alternate well-known empirical models of Rleaf,m with a process model of canopy photosynthesis. We quantify how net canopy exports of C vary with leaf area index (LAI) and total canopy N (TCN). Using data from tropical and arctic canopies, we show that estimates of canopy Rleaf,m vary widely among the three models. Using an optimization framework, we show that the LAI and TCN values maximizing C export depends strongly on the Rleaf,m model used. No single model could match observed arctic and tropical LAI-TCN patterns with predictions of optimal LAI-TCN. We recommend caution in using leaf-scale empirical models for components of ESMs at canopy-scale. Rleaf,m models may produce reasonable results for a specified LAI, but, due to their varied representations of Rleaf,mfoliar N sensitivity, are associated with different and potentially unrealistic optimization dynamics at canopy scale. We recommend ESMs to be evaluated using response surfaces of canopy C export in LAI-TCN space to understand and mitigate these risks.en
dc.description.versionPublished versionen
dc.format.extentPages 4629-4644en
dc.format.extent16 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1029/2019MS001679en
dc.identifier.eissn1942-2466en
dc.identifier.issn1942-2466en
dc.identifier.issue12en
dc.identifier.orcidThomas, R. Quinn [0000-0003-1282-7825]en
dc.identifier.urihttp://hdl.handle.net/10919/104992en
dc.identifier.volume11en
dc.language.isoenen
dc.publisherAmerican Geophysical Unionen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000504282900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectPhysical Sciencesen
dc.subjectMeteorology & Atmospheric Sciencesen
dc.subjectcarbonen
dc.subjectNitrogenen
dc.subjectscalingen
dc.subjectecosystem modelingen
dc.subjectOptimizationen
dc.subjectrespirationen
dc.subjectRain foresten
dc.subjectPrimary productivityen
dc.subjectARCTIC TRANSECTen
dc.subjectAREA INDEXen
dc.subjectPlanten
dc.subjectPhotosynthesisen
dc.subjectNitrogenen
dc.subjectExchangeen
dc.subjectClimateen
dc.subjectEvapotranspirationen
dc.subject0401 Atmospheric Sciencesen
dc.titleAlternate Trait-Based Leaf Respiration Schemes Evaluated at Ecosystem-Scale Through Carbon Optimization Modeling and Canopy Property Dataen
dc.title.serialJournal of Advances in Modeling Earth Systemsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Natural Resources & Environmenten
pubs.organisational-group/Virginia Tech/Natural Resources & Environment/Forest Resources and Environmental Conservationen
pubs.organisational-group/Virginia Tech/University Research Institutesen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Natural Resources & Environment/CNRE T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Durelle Scotten
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