Does the disturbance hypothesis explain the biomass increase in basin-wide Amazon forest plot data?

Gloor Emanuel, Phillips Oliver L., Lloyd Jon, Lewis Simon L., Malhi Yadvinder, Baker Timothy R., Lopez-Gonzalez Gabriela, Peacock Julie, Almeida Samuel, Alves de Oliveira Atila Cristina, Alvarez Eduardo, Amaral Iêda Leão, Arroyo Luzmila, Aymard Gerardo A., Banki Olaf, Blanc Lilian, Bonal Damien, Brando P., Chao K.J., Chave Jérôme, Davila Nallarett, Erwin Terry, Silva Javier, Di Fiore Anthony, Feldpausch Ted R., Freitas Ana, Herrera R., Higuchi Niro, Honorio Euridice, Jimenez Eliana, Killeen Timothy J., Laurance William F., Mendoza Casimiro, Monteagudo Abel, Andrade Ana, Neill David, Nepstad Dan, Nuñez Vargas Percy, Peñuela M.C., Peña Cruz Antonio, Prieto Adriana, Pitman Nigel C. A., Quesada Carlos A., Salomão Rafael P., Silveira Marcos, Schwarz M., Stropp Juliana, Ramirez F., Ramirez Hirma, Rudas Agustin, Ter Steege H., Silva Natalino, Torres A., Terborgh John, Vasquez Rodolfo, Van Der Heijden Geertje. 2009. Does the disturbance hypothesis explain the biomass increase in basin-wide Amazon forest plot data?. Global Change Biology, 15 (10) : pp. 2418-2430.

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Quartile : Outlier, Sujet : ENVIRONMENTAL SCIENCES / Quartile : Q1, Sujet : BIODIVERSITY CONSERVATION / Quartile : Q1, Sujet : ECOLOGY

Abstract : Positive aboveground biomass trends have been reported from old-growth forests across the Amazon basin and hypothesized to reflect a large-scale response to exterior forcing. The result could, however, be an artefact due to a sampling bias induced by the nature of forest growth dynamics. Here, we characterize statistically the disturbance process in Amazon old-growth forests as recorded in 135 forest plots of the RAINFOR network up to 2006, and other independent research programmes, and explore the consequences of sampling artefacts using a data-based stochastic simulator. Over the observed range of annual aboveground biomass losses, standard statistical tests show that the distribution of biomass losses through mortality follow an exponential or near-identical Weibull probability distribution and not a power law as assumed by others. The simulator was parameterized using both an exponential disturbance probability distribution as well as a mixed exponential-power law distribution to account for potential large-scale blowdown events. In both cases, sampling biases turn out to be too small to explain the gains detected by the extended RAINFOR plot network. This result lends further support to the notion that currently observed biomass gains for intact forests across the Amazon are actually occurring over large scales at the current time, presumably as a response to climate change. (Résumé d'auteur)

Mots-clés Agrovoc : Biomasse, Forêt tempérée humide, Mesure, Changement climatique, Mortalité, Modèle de simulation, Méthode statistique, Évaluation, séquestration du carbone, Croissance, Carbone, Stockage

Mots-clés géographiques Agrovoc : Amazonie

Classification Agris : K01 - Forestry - General aspects
F62 - Plant physiology - Growth and development
P40 - Meteorology and climatology
U10 - Mathematical and statistical methods

Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

Auteurs et affiliations

  • Gloor Emanuel, University of Leeds (GBR)
  • Phillips Oliver L., University of Leeds (GBR)
  • Lloyd Jon, University of Leeds (GBR)
  • Lewis Simon L., University of Leeds (GBR)
  • Malhi Yadvinder, University of Oxford (GBR)
  • Baker Timothy R., University of Leeds (GBR)
  • Lopez-Gonzalez Gabriela, University of Oxford (GBR)
  • Peacock Julie, University of Leeds (GBR)
  • Almeida Samuel, Museu Paraense Emilio Goeldi (BRA)
  • Alves de Oliveira Atila Cristina, INPA (BRA)
  • Alvarez Eduardo, Universidad Nacional de Colombia (COL)
  • Amaral Iêda Leão, INPA (BRA)
  • Arroyo Luzmila, Museo de Historia Natural Noel Kempff Mercado (BOL)
  • Aymard Gerardo A., Universidad Nacional Experimental de Los Llanos Occidentales Ezequiel Zamora (VEN)
  • Banki Olaf, Utrecht University (NLD)
  • Blanc Lilian, CIRAD-ES-UMR Ecofog (GUF)
  • Bonal Damien, INRA (GUF)
  • Brando P., IPAM (BRA)
  • Chao K.J., Institute of Ecology and Evolutionary Biology (TWN)
  • Chave Jérôme, CNRS (FRA)
  • Davila Nallarett, Universidad Nacional de la Amazonia Peruana (PER)
  • Erwin Terry, Smithsonian Institution (USA)
  • Silva Javier, Universidad Nacional San Antonio Abad del Cusco (PER)
  • Di Fiore Anthony, University of New-York (USA)
  • Feldpausch Ted R., University of Leeds (GBR)
  • Freitas Ana, Museu Paraense Emilio Goeldi (BRA)
  • Herrera R., IVIC (VEN)
  • Higuchi Niro, INPA (BRA)
  • Honorio Euridice, IIAP (PER)
  • Jimenez Eliana, Universidad Nacional de Colombia (COL)
  • Killeen Timothy J.
  • Laurance William F., Smithsonian Tropical Research Institute (PAN)
  • Mendoza Casimiro, Manejo Forestal en las Tierras Tropicales de Bolivia (BOL)
  • Monteagudo Abel, Jardin Botanico de Missouri (PER)
  • Andrade Ana, INPA (BRA)
  • Neill David, Fundación Jatun Sacha and Missouri Botanical Garden (ECU)
  • Nepstad Dan, WHRC (USA)
  • Nuñez Vargas Percy, Universidad San Antonio Abad del Cusco (PER)
  • Peñuela M.C., Universidad Nacional de Colombia (COL)
  • Peña Cruz Antonio, Jardin Botanico de Missouri (PER)
  • Prieto Adriana, Universidad Nacional de Colombia (COL)
  • Pitman Nigel C. A., Duke University (USA)
  • Quesada Carlos A., University of Leeds (GBR)
  • Salomão Rafael P., Museu Paraense Emilio Goeldi (BRA)
  • Silveira Marcos, UFAC (BRA)
  • Schwarz M.
  • Stropp Juliana, Utrecht University (NLD)
  • Ramirez F., Universidad Nacional de la Amazonia Peruana (PER)
  • Ramirez Hirma, ULA (VEN)
  • Rudas Agustin, Universidad Nacional de Colombia (COL)
  • Ter Steege H., NHN (NLD)
  • Silva Natalino, EMBRAPA (BRA)
  • Torres A., ULA (VEN)
  • Terborgh John, Duke University (USA)
  • Vasquez Rodolfo, Jardin Botanico de Missouri (PER)
  • Van Der Heijden Geertje, University of Leeds (GBR)

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