Forest carbon allocation modelling under climate change

dc.bibliographicCitation.firstPage1937
dc.bibliographicCitation.issue12
dc.bibliographicCitation.journalTitleTree Physiologyeng
dc.bibliographicCitation.lastPage1960
dc.bibliographicCitation.volume39
dc.contributor.authorMerganičová, Katarína
dc.contributor.authorMerganič, Ján
dc.contributor.authorLehtonen, Aleksi
dc.contributor.authorVacchiano, Giorgio
dc.contributor.authorOstrogović Sever, Maša Zorana
dc.contributor.authorAugustynczik, Andrey L. D.
dc.contributor.authorGrote, Rüdiger
dc.contributor.authorKyselová, Ina
dc.contributor.authorMäkelä, Annikki
dc.contributor.authorYousefpour, Rasoul
dc.contributor.authorKrejza, Jan
dc.contributor.authorCollalti, Alessio
dc.contributor.authorReyer, Christopher P. O.
dc.date.accessioned2022-12-09T07:11:19Z
dc.date.available2022-12-09T07:11:19Z
dc.date.issued2019
dc.description.abstractCarbon allocation plays a key role in ecosystem dynamics and plant adaptation to changing environmental conditions. Hence, proper description of this process in vegetation models is crucial for the simulations of the impact of climate change on carbon cycling in forests. Here we review how carbon allocation modelling is currently implemented in 31 contrasting models to identify the main gaps compared with our theoretical and empirical understanding of carbon allocation. A hybrid approach based on combining several principles and/or types of carbon allocation modelling prevailed in the examined models, while physiologically more sophisticated approaches were used less often than empirical ones. The analysis revealed that, although the number of carbon allocation studies over the past 10 years has substantially increased, some background processes are still insufficiently understood and some issues in models are frequently poorly represented, oversimplified or even omitted. Hence, current challenges for carbon allocation modelling in forest ecosystems are (i) to overcome remaining limits in process understanding, particularly regarding the impact of disturbances on carbon allocation, accumulation and utilization of nonstructural carbohydrates, and carbon use by symbionts, and (ii) to implement existing knowledge of carbon allocation into defence, regeneration and improved resource uptake in order to better account for changing environmental conditions. © The Author(s) 2019. Published by Oxford University Press.eng
dc.description.versionpublishedVersion
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/10570
dc.identifier.urihttp://dx.doi.org/10.34657/9606
dc.language.isoeng
dc.publisherVictoria, BC : Heron
dc.relation.doihttps://doi.org/10.1093/treephys/tpz105
dc.relation.essn0829-318X
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc630
dc.subject.ddc640
dc.subject.ddc580
dc.subject.otherCarbon partitioningeng
dc.subject.otherFixed ratioeng
dc.subject.otherModel calibrationeng
dc.subject.otherMycorrhizaeng
dc.subject.otherNatural disturbanceseng
dc.subject.otherNatural resourceseng
dc.subject.otherNonstructural carbohydrateseng
dc.subject.otherRepair and defence functioneng
dc.subject.otherReproductioneng
dc.subject.otherTemporal resolutioneng
dc.titleForest carbon allocation modelling under climate changeeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccess
wgl.contributorPIK
wgl.subjectBiowissenschaften/Biologieger
wgl.typeZeitschriftenartikelger
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