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dc.contributor.authorReis, SM
dc.contributor.authorMarimon, BS
dc.contributor.authorEsquivel‐Muelbert, A
dc.contributor.authorMarimon, BH
dc.contributor.authorMorandi, PS
dc.contributor.authorElias, F
dc.contributor.authorOliveira, EA
dc.contributor.authorGalbraith, D
dc.contributor.authorFeldpausch, TR
dc.contributor.authorMenor, IO
dc.contributor.authorMalhi, Y
dc.contributor.authorPhillips, OL
dc.date.accessioned2022-03-07T09:08:15Z
dc.date.issued2022-02-22
dc.date.updated2022-03-04T17:46:50Z
dc.description.abstractTree death is a key process for our understanding of how forests are and will respond to global change. The extensive forests across the southern Amazonia edge—the driest, warmest and most fragmented of the Amazon regions—provide a window onto what the future of large parts of Amazonia may look like. Understanding tree mortality and its drivers here is essential to anticipate the process across other parts of the basin. Using 10 years of data from a widespread network of long-term forest plots, we assessed how trees die (standing, broken or uprooted) and used generalised mixed-effect models to explore the contribution of plot-, species- and tree-level factors to the likelihood of tree death. Most trees died from stem breakage (54%); a smaller proportion died standing (41%), while very few were uprooted (5%). The mortality rate for standing dead trees was greatest in forests subject to the most intense dry seasons. While trees with the crown more exposed to light were more prone to death from mechanical damage, trees less exposed were more susceptible to death from drought. At the species level, mortality rates were lowest for those species with the greatest wood density. At the individual tree level, physical damage to the crown via branch breakage was the strongest predictor of tree death. Synthesis. Wind- and water deficit-driven disturbances are the main causes of tree death in southern Amazonia edge which is concerning considering the predicted increase in seasonality for Amazonia, especially at the edge. Tree mortality here is greater than any in other Amazonian region, thus any increase in mortality here may represent a tipping point for these forests.en_GB
dc.identifier.citationPublished online 22 February 2022en_GB
dc.identifier.doihttps://doi.org/10.1111/1365-2745.13849
dc.identifier.urihttp://hdl.handle.net/10871/128936
dc.identifierORCID: 0000-0002-6631-7962 (Feldpausch, Ted R)
dc.identifierScopusID: 55323559100 (Feldpausch, Ted R)
dc.language.isoenen_GB
dc.publisherWiley / British Ecological Societyen_GB
dc.relation.urlhttps://doi.org/10.5521/forestplots.net/2022_1en_GB
dc.relation.urlhttps://www.forestplots.net/en/join-forestplots/working-with-dataen_GB
dc.rights© 2022 The Authors. Journal of Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.en_GB
dc.subjectclimate changeen_GB
dc.subjectdisturbanceen_GB
dc.subjectforest dynamicsen_GB
dc.subjectforest structureen_GB
dc.subjectgrowth rateen_GB
dc.subjecttree deathen_GB
dc.subjectwater deficiten_GB
dc.subjectwood densityen_GB
dc.titleClimate and crown damage drive tree mortality in southern Amazonian edge forestsen_GB
dc.typeArticleen_GB
dc.date.available2022-03-07T09:08:15Z
dc.identifier.issn0022-0477
dc.descriptionThis is the final version. Available on open access from Wiley via the DOI in this recorden_GB
dc.descriptionData availability statement: The data are available as a data package on ForestPlots.net: https://doi.org/10.5521/forestplots.net/2022_1 (Reis et al., 2022). The tree-level data used in Figure 5 are available on request from ForestPlot.net: https://www.forestplots.net/en/join-forestplots/working-with-dataen_GB
dc.identifier.eissn1365-2745
dc.identifier.journalJournal of Ecologyen_GB
dc.relation.ispartofJournal of Ecology
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-01-06
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-02-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-03-07T09:06:41Z
refterms.versionFCDVoR
refterms.dateFOA2025-03-06T23:09:40Z
refterms.panelCen_GB


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© 2022 The Authors.  Journal of Ecology  published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Except where otherwise noted, this item's licence is described as © 2022 The Authors. Journal of Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.