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ENSO Drives interannual variation of forest woody growth across the tropics

Rifai, Sami W; Girardin, Cécile A.J.; Berenguer, Erika; del Aguila-Pasquel, Jhon; Dahlsjo, Cecilia A.L.; Doughty, Christopher E.; Jeffery, K J; Moore, Sam; Oliveras, Imma; Riutta, Terhi; Meir, Patrick

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Meteorological 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...[Show more]

dc.contributor.authorRifai, Sami W
dc.contributor.authorGirardin, Cécile A.J.
dc.contributor.authorBerenguer, Erika
dc.contributor.authordel Aguila-Pasquel, Jhon
dc.contributor.authorDahlsjo, Cecilia A.L.
dc.contributor.authorDoughty, Christopher E.
dc.contributor.authorJeffery, K J
dc.contributor.authorMoore, Sam
dc.contributor.authorOliveras, Imma
dc.contributor.authorRiutta, Terhi
dc.contributor.authorMeir, Patrick
dc.date.accessioned2019-04-15T11:53:55Z
dc.identifier.issn0962-8436
dc.identifier.urihttp://hdl.handle.net/1885/159678
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 yr21, with an interannual range 1.96–2.26 Pg C yr21 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 ¼ 20.75) 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’.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherRoyal Society of London
dc.sourcePhilosophical Transactions of the Royal Society of London Series B
dc.titleENSO Drives interannual variation of forest woody growth across the tropics
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume373
dc.date.issued2018
local.identifier.absfor060799 - Plant Biology not elsewhere classified
local.identifier.ariespublicationu4485658xPUB1340
local.type.statusPublished Version
local.contributor.affiliationRifai, Sami W, University of Oxford
local.contributor.affiliationGirardin, Cécile A.J., University of Oxford
local.contributor.affiliationBerenguer, Erika, University of Oxford
local.contributor.affiliationdel Aguila-Pasquel, Jhon, Instituto de Investigaciones de la Amazonia Peruana
local.contributor.affiliationDahlsjo, Cecilia A.L., University of Oxford
local.contributor.affiliationDoughty, Christopher E., Northern Arizona University
local.contributor.affiliationJeffery, K J , Agence Nationale des Parcs Nationaux
local.contributor.affiliationMoore, Sam, University of Oxford
local.contributor.affiliationOliveras, Imma, University of Oxford
local.contributor.affiliationRiutta, Terhi, University of Oxford
local.contributor.affiliationMeir, Patrick, College of Science, ANU
local.description.embargo2040-01-01
local.bibliographicCitation.issue1760
local.identifier.doi10.1098/rstb.2017.0410
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
dc.date.updated2019-03-12T07:28:46Z
local.identifier.scopusID2-s2.0-85054776803
CollectionsANU Research Publications

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