Logo do repositório
 
Publicação

Scaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approach

2020-03-16Artigo científico Acesso aberto
Ver registo simples
dc.contributor.authorJung, Martin
dc.contributor.authorSchwalm, Christopher
dc.contributor.authorMigliavacca, Mirco
dc.contributor.authorWalther, Sophia
dc.contributor.authorCamps-Valls, Gustau
dc.contributor.authorKoirala, Sujan
dc.contributor.authorAnthoni, Peter
dc.contributor.authorBesnard, Simon
dc.contributor.authorBodesheim, Paul
dc.contributor.authorCarvalhais, Nuno
dc.contributor.authorChevallier, Frederic
dc.contributor.authorGans, Fabian
dc.contributor.authorGoll, Daniel S.
dc.contributor.authorHaverd, Vanessa
dc.contributor.authorKöhler, Philipp
dc.contributor.authorIchii, Kazuhito
dc.contributor.authorJain, Atul K.
dc.contributor.authorLiu, Junzhi
dc.contributor.authorLombardozzi, Danica
dc.contributor.authorNabel, Julia E. M. S.
dc.contributor.authorNelson, Jacob A.
dc.contributor.authorO'Sullivan, Michael
dc.contributor.authorPallandt, Martijn
dc.contributor.authorPapale, Dario
dc.contributor.authorPeters, Wouter
dc.contributor.authorPongratz, Julia
dc.contributor.authorRödenbeck, Christian
dc.contributor.authorSitch, Stephen
dc.contributor.authorTramontana, Gianluca
dc.contributor.authorWalker, Anthony
dc.contributor.authorWeber, Ulrich
dc.contributor.authorReichstein, Markus
dc.contributor.institutionDCEA - Departamento de Ciências e Engenharia do Ambiente
dc.contributor.pblCopernicus Publications
dc.date.accessioned2021-06-16T22:21:10Z
dc.date.available2021-06-16T22:21:10Z
dc.date.issued2020-03-16
dc.descriptionThis research has been supported by the European Space Agency (grant no. ESRIN/4000123002/18/I-NB), the National Science Foundation under cooperative agreement no. 1852977 and the U.S. Department of Energy (no. DE-SC0016323)
dc.description.abstractFLUXNET comprises globally distributed eddy-covariance-based estimates of carbon fluxes between the biosphere and the atmosphere. Since eddy covariance flux towers have a relatively small footprint and are distributed unevenly across the world, upscaling the observations is necessary to obtain global-scale estimates of biosphere-atmosphere exchange. Based on cross-consistency checks with atmospheric inversions, sun-induced fluorescence (SIF) and dynamic global vegetation models (DGVMs), here we provide a systematic assessment of the latest upscaling efforts for gross primary production (GPP) and net ecosystem exchange (NEE) of the FLUXCOM initiative, where different machine learning methods, forcing data sets and sets of predictor variables were employed. Spatial patterns of mean GPP are consistent across FLUXCOM and DGVM ensembles ( at 1 spatial resolution) while the majority of DGVMs show, for 70 of the land surface, values outside the FLUXCOM range. Global mean GPP magnitudes for 2008-2010 from FLUXCOM members vary within 106 and 130 PgC class with the largest uncertainty in the tropics. Seasonal variations in independent SIF estimates agree better with FLUXCOM GPP (mean global pixel-wise) than with GPP from DGVMs (mean global pixel-wise). Seasonal variations in FLUXCOM NEE show good consistency with atmospheric inversion-based net land carbon fluxes, particularly for temperate and boreal regions. Interannual variability of global NEE in FLUXCOM is underestimated compared to inversions and DGVMs. The FLUXCOM version which also uses meteorological inputs shows a strong co-variation in interannual patterns with inversions (for 2001-2010). Mean regional NEE from FLUXCOM shows larger uptake than inversion and DGVM-based estimates, particularly in the tropics with discrepancies of up to several hundred grammes of carbon per square metre per year. These discrepancies can only partly be reconciled by carbon loss pathways that are implicit in inversions but not captured by the flux tower measurements such as carbon emissions from fires and water bodies. We hypothesize that a combination of systematic biases in the underlying eddy covariance data, in particular in tall tropical forests, and a lack of site history effects on NEE in FLUXCOM are likely responsible for the too strong tropical carbon sink estimated by FLUXCOM. Furthermore, as FLUXCOM does not account for fertilization effects, carbon flux trends are not realistic. Overall, current FLUXCOM estimates of mean annual and seasonal cycles of GPP as well as seasonal NEE variations provide useful constraints of global carbon cycling, while interannual variability patterns from FLUXCOM are valuable but require cautious interpretation. Exploring the diversity of Earth observation data and of machine learning concepts along with improved quality and quantity of flux tower measurements will facilitate further improvements of the FLUXCOM approach overall.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent23
dc.format.extent7830353
dc.identifier.doi10.5194/bg-17-1343-2020
dc.identifier.issn1726-4170
dc.identifier.otherPURE: 32002528
dc.identifier.otherPURE UUID: 8e0372e9-5391-4dba-b3fc-ab1b312a784c
dc.identifier.otherScopus: 85082322779
dc.identifier.otherWOS: 000521134600001
dc.identifier.urihttp://hdl.handle.net/10362/119435
dc.identifier.urlhttps://www.scopus.com/pages/publications/85082322779
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/640176/EU
dc.relationDetecting changes in essential ecosystem and biodiversity properties – towards a Biosphere Atmosphere Change Index: BACI
dc.relationObservation-based system for monitoring and verification of greenhouse gases
dc.relationEuroGEO Showcases: Applications Powered by Europe
dc.relationStatistical Learning for Earth Observation Data Analysis.
dc.relationCO2 Human Emissions
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/776186/EU
dc.subjectEcology, Evolution, Behavior and Systematics
dc.subjectEarth-Surface Processes
dc.subjectSDG 15 - Life on Land
dc.titleScaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approachen
dc.typejournal article
degois.publication.firstPage1343
degois.publication.issue5
degois.publication.lastPage1365
degois.publication.titleBiogeosciences
degois.publication.volume17
dspace.entity.typePublication
oaire.awardNumber640176
oaire.awardNumber776810
oaire.awardNumber820852
oaire.awardNumber647423
oaire.awardNumber776186
oaire.awardTitleDetecting changes in essential ecosystem and biodiversity properties – towards a Biosphere Atmosphere Change Index: BACI
oaire.awardTitleObservation-based system for monitoring and verification of greenhouse gases
oaire.awardTitleEuroGEO Showcases: Applications Powered by Europe
oaire.awardTitleStatistical Learning for Earth Observation Data Analysis.
oaire.awardTitleCO2 Human Emissions
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/640176/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/776810/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/820852/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/647423/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/776186/EU
oaire.fundingStreamH2020
oaire.fundingStreamH2020
oaire.fundingStreamH2020
oaire.fundingStreamH2020
oaire.fundingStreamH2020
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsopenAccess
relation.isProjectOfPublication88644250-2ac8-40a7-bd35-97c467717287
relation.isProjectOfPublicationdc85acca-8822-4e9a-9710-00057b569fa8
relation.isProjectOfPublication26d694e9-0d07-4b82-8e3c-5bfd4ba8c23b
relation.isProjectOfPublicatione9769895-3cfb-4aeb-90cf-ae0c96410a27
relation.isProjectOfPublication592ea84d-c243-40bd-977e-d7f9d16460f1
relation.isProjectOfPublication.latestForDiscoverye9769895-3cfb-4aeb-90cf-ae0c96410a27

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
bg_17_1343_2020.pdf
Tamanho:
7.47 MB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

FCT: DCEA - Artigos em revista internacional com arbitragem científica