ENSO Drives interannual variation of forest woody growth across the tropics.

Autor: Rifai SW; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK sami.rifai@ouce.ox.ac.uk., Girardin CAJ; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Berenguer E; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK.; Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK., Del Aguila-Pasquel J; Instituto de Investigaciones de la Amazonia Peruana (IIAP), Iquitos, Peru., Dahlsjö CAL; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Doughty CE; School of Informatics, Computing and Cyber systems, Northern Arizona University, Flagstaff, AZ 86011, USA., Jeffery KJ; Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.; Institut de Recherche en Écologie Tropicale, CENAREST, BP 842, Libreville, Gabon.; Agence Nationale des Parcs Nationaux (ANPN), BP 20379, Libreville, Gabon., Moore S; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Oliveras I; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Riutta T; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Rowland LM; Geography, College of Life and Environmental Sciences, University of Exeter, Amory Building, Exeter EX4 4RJ, UK., Murakami AA; Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel Rene Moreno, Avenida Irala 565 Casilla Postal 2489, Santa Cruz, Bolivia., Addo-Danso SD; Forestry Research Institute of Ghana, Kumasi, Ghana., Brando P; Woods Hole Research Center, Falmouth, MA, USA.; Amazon Environmental Research Institute (IPAM), Canarana, Mato Grosso, Brazil., Burton C; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Ondo FE; Agence Nationale des Parcs Nationaux (ANPN), BP 20379, Libreville, Gabon., Duah-Gyamfi A; Forestry Research Institute of Ghana, Kumasi, Ghana., Amézquita FF; Universidad Nacional San Antonio Abad del Cusco, Cusco, Peru., Freitag R; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, CEP 78690-000, Nova Xavantina, MT, Brazil., Pacha FH; Universidad Nacional San Antonio Abad del Cusco, Cusco, Peru., Huasco WH; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK., Ibrahim F; Forestry Research Institute of Ghana, Kumasi, Ghana., Mbou AT; Centro Euro-Mediterraneo sui Cambiamente Climatici, Leece, Italy., Mihindou VM; Agence Nationale des Parcs Nationaux (ANPN), BP 20379, Libreville, Gabon.; Ministère de la Forêt et de l'Environnement, BP199, Libreville, Gabon., Peixoto KS; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, CEP 78690-000, Nova Xavantina, MT, Brazil., Rocha W; Amazon Environmental Research Institute (IPAM), Canarana, Mato Grosso, Brazil., Rossi LC; Departamento de Ecologia, Universidade Estadual Paulista, 13506-900, Rio Claro, SP, Brazil., Seixas M; Embrapa Amazônia Oriental, Trav. Dr. Enéas Pinheiro, s/n, CP 48, 66095-100, Belém, PA, Brazil., Silva-Espejo JE; Departamento de Biologıa, Universidad de La Serena, La Serena, Chile., Abernethy KA; Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.; Institut de Recherche en Écologie Tropicale, CENAREST, BP 842, Libreville, Gabon., Adu-Bredu S; Forestry Research Institute of Ghana, Kumasi, Ghana., Barlow J; Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK., da Costa ACL; Instituto de Geosciências, Universidade Federal do Pará, Belém, Brazil., Marimon BS; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, CEP 78690-000, Nova Xavantina, MT, Brazil., Marimon-Junior BH; Programa de Pós-graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso, CEP 78690-000, Nova Xavantina, MT, Brazil., Meir P; Research School of Biology, Australian National University, Canberra, Australian Capital Territory 2601, Australia.; School of Geosciences, University of Edinburgh, Edinburgh EH93FF, UK., Metcalfe DB; Physical Geography and Ecosystem Science, Lund University, Lund, Sweden., Phillips OL; School of Geography, University of Leeds, Leeds, UK., White LJT; Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.; Institut de Recherche en Écologie Tropicale, CENAREST, BP 842, Libreville, Gabon., Malhi Y; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK.
Jazyk: angličtina
Zdroj: Philosophical transactions of the Royal Society of London. Series B, Biological sciences [Philos Trans R Soc Lond B Biol Sci] 2018 Oct 08; Vol. 373 (1760). Date of Electronic Publication: 2018 Oct 08.
DOI: 10.1098/rstb.2017.0410
Abstrakt: 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 (NPP stem ) 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'.
(© 2018 The Author(s).)
Databáze: MEDLINE
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