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Author (up) Gloor, M.; Phillips, O.L.; Lloyd, J.J.; Lewis, S.L.; Malhi, Y.; Baker, T.R.; Lopez-Gonzalez, G.; Peacock, J.; Almeida, S.; de Oliveira, A.C.A.; Alvarez, E.; Amaral, I.; Arroyo, L.; Aymard, G.; Banki, O.; Blanc, L.; Bonal, D.; Brando, P.; Chao, K.J.; Chave, J.; Davila, N.; Erwin, T.; Silva, J.; Di Fiore, A.; Feldpausch, T.R.; Freitas, A.; Herrera, R.; Higuchi, N.; Honorio, E.; Jimenez, E.; Killeen, T.; Laurance, W.; Mendoza, C.; Monteagudo, A.; Andrade, A.; Neill, D.; Nepstad, D.; Vargas, P.N.; Penuela, M.C.; Cruz, A.P.; Prieto, A.; Pitman, N.; Quesada, C.; Salomao, R.; Silveira, M.; Schwarz, M.; Stropp, J.; Ramirez, F.; Ramirez, H.; Rudas, A.; ter Steege, H.; Silva, N.; Torres, A.; Terborgh, J.; Vasquez, R.; van der Heijden, G. openurl 
  Title Does the disturbance hypothesis explain the biomass increase in basin-wide Amazon forest plot data? Type Journal Article
  Year 2009 Publication Global Change Biology Abbreviated Journal Glob. Change Biol.  
  Volume 15 Issue 10 Pages 2418-2430  
  Keywords Amazon rainforest; carbon sink; disturbance; mortality; power law  
  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.  
  Address [Gloor, M.; Phillips, O. L.; Lloyd, J. J.; Lewis, S. L.; Baker, T. R.; Lopez-Gonzalez, G.; Peacock, J.; Feldpausch, T. R.] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England, Email: eugloor@googlemail.com  
  Corporate Author Thesis  
  Publisher WILEY-BLACKWELL PUBLISHING, INC Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1354-1013 ISBN Medium  
  Area Expedition Conference  
  Notes ISI:000269577800006 Approved no  
  Call Number EcoFoG @ eric.marcon @ Serial 196  
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