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dc.contributor.authorWinkler, AJ
dc.contributor.authorMyneni, RB
dc.contributor.authorHannart, A
dc.contributor.authorSitch, S
dc.contributor.authorHaverd, V
dc.contributor.authorLombardozzi, D
dc.contributor.authorArora, VK
dc.contributor.authorPongratz, J
dc.contributor.authorNabel, JEMS
dc.contributor.authorGoll, DS
dc.contributor.authorKato, E
dc.contributor.authorTian, H
dc.contributor.authorArneth, A
dc.contributor.authorFriedlingstein, P
dc.contributor.authorJain, AK
dc.contributor.authorZaehle, S
dc.contributor.authorBrovkin, V
dc.date.accessioned2022-04-12T10:11:20Z
dc.date.issued2021-09-13
dc.date.updated2022-04-12T08:22:59Z
dc.description.abstractSatellite data reveal widespread changes in Earth's vegetation cover. Regions intensively attended to by humans are mostly greening due to land management. Natural vegetation, on the other hand, is exhibiting patterns of both greening and browning in all continents. Factors linked to anthropogenic carbon emissions, such as CO2 fertilization, climate change, and consequent disturbances such as fires and droughts, are hypothesized to be key drivers of changes in natural vegetation. A rigorous regional attribution at the biome level that can be scaled to a global picture of what is behind the observed changes is currently lacking. Here we analyze different datasets of decades-long satellite observations of global leaf area index (LAI, 1981-2017) as well as other proxies for vegetation changes and identify several clusters of significant long-term changes. Using process-based model simulations (Earth system and land surface models), we disentangle the effects of anthropogenic carbon emissions on LAI in a probabilistic setting applying causal counterfactual theory. The analysis prominently indicates the effects of climate change on many biomes-warming in northern ecosystems (greening) and rainfall anomalies in tropical biomes (browning). The probabilistic attribution method clearly identifies the CO2 fertilization effect as the dominant driver in only two biomes, the temperate forests and cool grasslands, challenging the view of a dominant global-scale effect. Altogether, our analysis reveals a slowing down of greening and strengthening of browning trends, particularly in the last 2 decades. Most models substantially underestimate the emerging vegetation browning, especially in the tropical rainforests. Leaf area loss in these productive ecosystems could be an early indicator of a slowdown in the terrestrial carbon sink. Models need to account for this effect to realize plausible climate projections of the 21st century.en_GB
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG)en_GB
dc.description.sponsorshipNASAen_GB
dc.description.sponsorshipAlexander von Humboldt Foundationen_GB
dc.format.extent4985-5010
dc.identifier.citationVol. 18(17), pp. 4985-5010en_GB
dc.identifier.doihttps://doi.org/10.5194/bg-18-4985-2021
dc.identifier.urihttp://hdl.handle.net/10871/129357
dc.identifierORCID: 0000-0003-1821-8561 (Sitch, Stephen)
dc.identifierScopusID: 6603113016 (Sitch, Stephen)
dc.identifierResearcherID: F-8034-2015 (Sitch, Stephen)
dc.identifierORCID: 0000-0003-3309-4739 (Friedlingstein, Pierre)
dc.identifierScopusID: 6602135031 (Friedlingstein, Pierre)
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Union / Copernicus Publicationsen_GB
dc.relation.urlhttps://zenodo.org/record/5348210en_GB
dc.rights© Author(s) 2021. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleSlowdown of the greening trend in natural vegetation with further rise in atmospheric CO2en_GB
dc.typeArticleen_GB
dc.date.available2022-04-12T10:11:20Z
dc.identifier.issn1726-4170
dc.descriptionThis is the final version. Available on open access from the European Geosciences Union via the DOI in this recorden_GB
dc.descriptionCode and data availability: All data used in this study are available from public databases or the literature, which can be found with the references provided in the respective “Materials and methods” subsection. Processed data and analysis scripts are available from the corresponding author upon request, and the repository was published under https://zenodo.org/record/5348210 together with this article. Correspondence and requests for materials should be addressed to Alexander J. Winkler (alexander.winkler@mpimet.mpg.de or awinkler@bgc-jena.mpg.de).en_GB
dc.identifier.eissn1726-4189
dc.identifier.journalBiogeosciencesen_GB
dc.relation.ispartofBiogeosciences, 18(17)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-07-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-09-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-04-12T10:08:39Z
refterms.versionFCDVoR
refterms.dateFOA2022-04-12T10:11:27Z
refterms.panelBen_GB
refterms.dateFirstOnline2021-09-13


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© Author(s) 2021. Open access. This work is distributed under
the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2021. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.