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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 ; Dahlsjö, Cecilia A.L. ; Doughty, Christopher E. ; Jeffery, Kathryn J. ; Moore, Sam ; Oliveras, Imma and Riutta, Terhi , et al. (2018) In Philosophical Transactions of the Royal Society B: Biological Sciences 373(1760).
Abstract

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 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... (More)

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 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'.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
drought, El Niño, meteorological anomalies, tropical forests, woody net primary production
in
Philosophical Transactions of the Royal Society B: Biological Sciences
volume
373
issue
1760
publisher
Royal Society
external identifiers
  • pmid:30297475
  • scopus:85054776803
ISSN
1471-2970
DOI
10.1098/rstb.2017.0410
language
English
LU publication?
yes
id
73419397-cba8-4965-8705-7d89604eb6c4
date added to LUP
2018-10-30 13:53:46
date last changed
2020-10-20 01:39:26
@article{73419397-cba8-4965-8705-7d89604eb6c4,
  abstract     = {<p>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 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'.</p>},
  author       = {Rifai, Sami W. and Girardin, Cécile A.J. and Berenguer, Erika and Del Aguila-Pasquel, Jhon and Dahlsjö, Cecilia A.L. and Doughty, Christopher E. and Jeffery, Kathryn J. and Moore, Sam and Oliveras, Imma and Riutta, Terhi and Rowland, Lucy M. and Murakami, Alejandro Araujo and Addo-Danso, Shalom D. and Brando, Paulo and Burton, Chad and Ondo, Fidèle Evouna and Duah-Gyamfi, Akwasi and Amézquita, Filio Farfán and Freitag, Renata and Pacha, Fernando Hancco and Huasco, Walter Huaraca and Ibrahim, Forzia and Mbou, Armel T. and Mihindou, Vianet Mihindou and Peixoto, Karine S. and Rocha, Wanderley and Rossi, Liana C. and Seixas, Marina and Silva-Espejo, Javier E. and Abernethy, Katharine A. and Adu-Bredu, Stephen and Barlow, Jos and da Costa, Antonio C.L. and Marimon, Beatriz S. and Marimon-Junior, Ben H. and Meir, Patrick and Metcalfe, Daniel B. and Phillips, Oliver L. and White, Lee J.T. and Malhi, Yadvinder},
  issn         = {1471-2970},
  language     = {eng},
  number       = {1760},
  publisher    = {Royal Society},
  series       = {Philosophical Transactions of the Royal Society B: Biological Sciences},
  title        = {ENSO Drives interannual variation of forest woody growth across the tropics},
  url          = {http://dx.doi.org/10.1098/rstb.2017.0410},
  doi          = {10.1098/rstb.2017.0410},
  volume       = {373},
  year         = {2018},
}