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dc.contributor.authorRifai, SW
dc.contributor.authorGirardin, CAJ
dc.contributor.authorBerenguer, E
dc.contributor.authorDel Aguila-Pasquel, J
dc.contributor.authorDahlsjö, CAL
dc.contributor.authorDoughty, CE
dc.contributor.authorJeffery, KJ
dc.contributor.authorMoore, S
dc.contributor.authorOliveras, I
dc.contributor.authorRiutta, T
dc.contributor.authorRowland, LM
dc.contributor.authorMurakami, AA
dc.contributor.authorAddo-Danso, SD
dc.contributor.authorBrando, P
dc.contributor.authorBurton, C
dc.contributor.authorOndo, FE
dc.contributor.authorDuah-Gyamfi, A
dc.contributor.authorAmézquita, FF
dc.contributor.authorFreitag, R
dc.contributor.authorPacha, FH
dc.contributor.authorHuasco, WH
dc.contributor.authorIbrahim, F
dc.contributor.authorMbou, AT
dc.contributor.authorMihindou, VM
dc.contributor.authorPeixoto, KS
dc.contributor.authorRocha, W
dc.contributor.authorRossi, LC
dc.contributor.authorSeixas, M
dc.contributor.authorSilva-Espejo, JE
dc.contributor.authorAbernethy, KA
dc.contributor.authorAdu-Bredu, S
dc.contributor.authorBarlow, J
dc.contributor.authorda Costa, ACL
dc.contributor.authorMarimon, BS
dc.contributor.authorMarimon-Junior, BH
dc.contributor.authorMeir, P
dc.contributor.authorMetcalfe, DB
dc.contributor.authorPhillips, OL
dc.contributor.authorWhite, LJT
dc.contributor.authorMalhi, Y
dc.date.accessioned2018-11-14T11:22:36Z
dc.date.issued2018-10-08
dc.description.abstractMeteorological extreme events such as El Niño events are expected to affect tropical forest net primary production (NPP) and woody growth, but there has been no large-scale empirical validation of this expectation. We collected a large high-temporal resolution dataset (for 1-13 years depending upon location) of more than 172 000 stem growth measurements using dendrometer bands from across 14 regions spanning Amazonia, Africa and Borneo in order to test how much month-to-month variation in stand-level woody growth of adult tree stems (NPPstem) can be explained by seasonal variation and interannual meteorological anomalies. A key finding is that woody growth responds differently to meteorological variation between tropical forests with a dry season (where monthly rainfall is less than 100 mm), and aseasonal wet forests lacking a consistent dry season. In seasonal tropical forests, a high degree of variation in woody growth can be predicted from seasonal variation in temperature, vapour pressure deficit, in addition to anomalies of soil water deficit and shortwave radiation. The variation of aseasonal wet forest woody growth is best predicted by the anomalies of vapour pressure deficit, water deficit and shortwave radiation. In total, we predict the total live woody production of the global tropical forest biome to be 2.16 Pg C yr-1, with an interannual range 1.96-2.26 Pg C yr-1 between 1996-2016, and with the sharpest declines during the strong El Niño events of 1997/8 and 2015/6. There is high geographical variation in hotspots of El Niño-associated impacts, with weak impacts in Africa, and strongly negative impacts in parts of Southeast Asia and extensive regions across central and eastern Amazonia. Overall, there is high correlation (r = -0.75) between the annual anomaly of tropical forest woody growth and the annual mean of the El Niño 3.4 index, driven mainly by strong correlations with anomalies of soil water deficit, vapour pressure deficit and shortwave radiation.This article is part of the discussion meeting issue 'The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications'.en_GB
dc.description.sponsorshipThis work was primarily supported by UK Natural Environment Research Council grant no. NE/P001092/1 and a European Research Council Advanced Investigator Award (GEM-TRAIT, grant no. 321131) to Y.M., and a grant from The Nature Conservancy-Oxford Martin School Climate Partnership supporting S.W.R. It also heavily uses previous data collection funded by NERC (NE/I014705/1 for African sites, NE/K016369/1 for Asian sites, NE/F005776/1, NE/K016385/1 and NE/J011002/1 for Amazonian sites), by CNPq (CNPQ grant no. 457914/2013-0/MCTI/ CNPq/FNDCT/LBA/ESECAFLOR) and support for the Amazonian sites from the Gordon and Betty Moore Foundation, and for the Asian sites from the Sime Darby Foundation. The site in Nova Xavantina, Brazil was funded by grants from Project PELD-CNPq (403725/ 2012-7; 441244/2016-5); CNPq/PPBio (457602/2012-0); productivity grants (PQ-2) to B. H. Marimon-Junior and B. S. Marimon; Project USA-NAS/PEER (#PGA-2000005316) and Project ReFlor FAPEMAT 0589267/2016. The sites in Santare´m, Brazil have been supported by Instituto Nacional de Cieˆncia e Tecnologia – Biodiversidade e Uso da Terra na Amazoˆnia (CNPq 574008/2008-0), Empresa Brasileira de Pesquisa Agropecua´ria – Embrapa (SEG: 02.08.06.005.00), the European Research Council (H2020-MSCA-RISE-2015 - Project 691053-ODYSSEA), the UK government Darwin Initiative (17-023), The Nature Conservancy, and the UK Natural Environment Research Council (NERC; NE/F01614X/1, NE/G000816/1, NE/K016431/1 and NE/P004512en_GB
dc.identifier.citationVol. 373 (1760), article 20170410en_GB
dc.identifier.doi10.1098/rstb.2017.0410
dc.identifier.urihttp://hdl.handle.net/10871/34755
dc.language.isoenen_GB
dc.publisherRoyal Societyen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/30297475en_GB
dc.rights© 2018 The Author(s). Published by the Royal Society. All rights reserved.en_GB
dc.subjectEl Niñoen_GB
dc.subjectdroughten_GB
dc.subjectmeteorological anomaliesen_GB
dc.subjecttropical forestsen_GB
dc.subjectwoody net primary productionen_GB
dc.titleENSO Drives interannual variation of forest woody growth across the tropicsen_GB
dc.typeArticleen_GB
dc.date.available2018-11-14T11:22:36Z
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from the Royal Society via the DOI in this recorden_GB
dc.descriptionData accessibility. Stand-level NPP used in this study will be uploaded as electronic supplementary material. Code, processed GEM data and predictive products are available at: git@gitlab. com:sw-rifai/El_Nino_StemNPP.giten_GB
dc.identifier.journalPhilosophical Transactions of the Royal Society B: Biological Sciencesen_GB


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