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Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions

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dc.contributor.authorWieder, William R.en
dc.contributor.authorLawrence, David M.en
dc.contributor.authorFisher, Rosie A.en
dc.contributor.authorBonan, Gordon B.en
dc.contributor.authorCheng, Susan J.en
dc.contributor.authorGoodale, Christine L.en
dc.contributor.authorGrandy, A. Stuarten
dc.contributor.authorKoven, Charles D.en
dc.contributor.authorLombardozzi, Danica L.en
dc.contributor.authorOleson, Keith W.en
dc.contributor.authorThomas, R. Quinnen
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2021-09-29T20:46:33Zen
dc.date.available2021-09-29T20:46:33Zen
dc.date.issued2019-10-28en
dc.date.updated2021-09-29T20:46:24Zen
dc.description.abstractLand models are often used to simulate terrestrial responses to future environmental changes, but these models are not commonly evaluated with data from experimental manipulations. Results from experimental manipulations can identify and evaluate model assumptions that are consistent with appropriate ecosystem responses to future environmental change. We conducted simulations using three coupled carbon-nitrogen versions of the Community Land Model (CLM, versions 4, 4.5, and—the newly developed—5), and compared the simulated response to nitrogen (N) and atmospheric carbon dioxide (CO2) enrichment with meta-analyses of observations from similar experimental manipulations. In control simulations, successive versions of CLM showed a poleward increase in gross primary productivity and an overall bias reduction, compared to FLUXNET-MTE observations. Simulations with N and CO2 enrichment demonstrate that CLM transitioned from a model that exhibited strong nitrogen limitation of the terrestrial carbon cycle (CLM4) to a model that showed greater responsiveness to elevated concentrations of CO2 in the atmosphere (CLM5). Overall, CLM5 simulations showed better agreement with observed ecosystem responses to experimental N and CO2 enrichment than previous versions of the model. These simulations also exposed shortcomings in structural assumptions and parameterizations. Specifically, no version of CLM captures changes in plant physiology, allocation, and nutrient uptake that are likely important aspects of terrestrial ecosystems' responses to environmental change. These highlight priority areas that should be addressed in future model developments. Moving forward, incorporating results from experimental manipulations into model benchmarking tools that are used to evaluate model performance will help increase confidence in terrestrial carbon cycle projections.en
dc.description.versionPublished versionen
dc.format.extentPages 1289-1309en
dc.format.extent21 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1029/2018GB006141en
dc.identifier.eissn1944-9224en
dc.identifier.issn0886-6236en
dc.identifier.issue10en
dc.identifier.orcidThomas, R. Quinn [0000-0003-1282-7825]en
dc.identifier.otherGBC20889 (PII)en
dc.identifier.pmid31894175en
dc.identifier.urihttp://hdl.handle.net/10919/105117en
dc.identifier.volume33en
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:000492795500001&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.subjectLife Sciences & Biomedicineen
dc.subjectPhysical Sciencesen
dc.subjectEnvironmental Sciencesen
dc.subjectGeosciences, Multidisciplinaryen
dc.subjectMeteorology & Atmospheric Sciencesen
dc.subjectEnvironmental Sciences & Ecologyen
dc.subjectGeologyen
dc.subjectCommunity Land Modelen
dc.subjectnitrogen enrichmenten
dc.subjectelevated CO2en
dc.subjectland modelen
dc.subjectbiogeochemistryen
dc.subjectCO2 ENRICHMENT FACEen
dc.subjectCARBON-NITROGEN INTERACTIONSen
dc.subjectDYNAMIC VEGETATION MODELen
dc.subjectNET PRIMARY PRODUCTIVITYen
dc.subjectELEVATED CO2en
dc.subjectECOSYSTEM RESPONSESen
dc.subjectFOREST PRODUCTIVITYen
dc.subjectLEAF NITROGENen
dc.subjectSOIL CARBONen
dc.subjectPHOTOSYNTHETIC CAPACITYen
dc.subject0401 Atmospheric Sciencesen
dc.subject0402 Geochemistryen
dc.subject0405 Oceanographyen
dc.subjectMeteorology & Atmospheric Sciencesen
dc.titleBeyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptionsen
dc.title.serialGlobal Biogeochemical Cyclesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2019-06-18en
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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