%0 Journal Article
%4 sid.inpe.br/plutao/2016/12.05.19.18.31
%2 sid.inpe.br/plutao/2016/12.05.19.18.32
%@doi 10.1111/gcb.13315
%@issn 1354-1013
%F lattes: 5174466549126882 28 JohnsonGGDGRTVVMPBFLFQCCGKMMZAAAAAAAAABBBBCCCCCDFHHKLLLLMMMMMNPPPPPRRRSSSSTTTTVVVVVB:2016:ImDyGl
%T Variation in stem mortality rates determines patterns of aboveground biomass in Amazonian forests: implications for dynamic global vegetation models
%D 2016
%A Johnson, M. O.,
%A Galbraith, D.,
%A Gloor, E.,
%A Deurwaerder, H. de,
%A Guimberteau, M.,
%A Rammig, A.,
%A Thonicke, K.,
%A Verbeeck, H.,
%A Von Randow, Celso,
%A Monteagudo, A,
%A Phillips, O. L.,
%A Brienen, R. J. W.,
%A Feldpausch, T. R.,
%A Lopez Gonzalez, G.,
%A Fauset, S.,
%A Quesada, C. A.,
%A Christoffersen, B.,
%A Ciais, P.,
%A Oliveira, Gilvan Sampaio de,
%A Kruijt, B.,
%A Meir, P.,
%A Moorcroft, P.,
%A Zhang, K.,
%A Alvarez, E. A.,
%A Oliveira, A. Alves de,
%A Amaral, I.,
%A Andrade, A.,
%A Aragão, Luiz Eduardo Oliveira e Cruz de,
%A Araujo-Murakami, A.,
%A Arets, E. J. M. M.,
%A Arroyo, L.,
%A Aymard, G. A.,
%A Baraloto, C.,
%A Barroso, J.,
%A Bonal, D.,
%A Boot, R.,
%A Camargo, J.,
%A Chave, Jerome,
%A Cogollo, A.,
%A Cornejo, F. Valverde,
%A Costa, L. da,
%A Di Fiore, A.,
%A Ferreira, L.,
%A Higuchi, N.,
%A Honorio, E.,
%A Killeen, T. J.,
%A Laurance, S. G.,
%A Laurance, W. F.,
%A Licona, J.,
%A Lovejoy, T.,
%A Malhi, Y.,
%A Marimon, B.,
%A Marimon Junior, B. H.,
%A Matos, D. C. L.,
%A Mendoza, C.,
%A Neill, D. A.,
%A Pardo, G.,
%A Peña-Claros, M.,
%A Pitman, N. C. A.,
%A Poorter, L.,
%A Prieto, A,
%A Ramirez-Angulo, H.,
%A Roopsind, A.,
%A Rudas, A.,
%A Salomao, R. P.,
%A Silveira, M.,
%A Stropp, J.,
%A ter Steege, H.,
%A Terborgh, J.,
%A Thomas, R.,
%A Toledo, M.,
%A Torres-Lezama, A.,
%A Van Der Heijden, G. M. F.,
%A Vasquez, R.,
%A Vieira, I.,
%A Vilanova, E.,
%A Vos, V. A.,
%A Baker, T. R.,
%@affiliation University of Leeds
%@affiliation University of Leeds
%@affiliation University of Leeds
%@affiliation Ghent University
%@affiliation Université Paris-Saclay
%@affiliation Technical University Munich
%@affiliation Potsdam Institute for Climate Impact Research (PIK)
%@affiliation Ghent University
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Jardín Botánico de Missouri
%@affiliation University of Leeds
%@affiliation University of Leeds
%@affiliation University of Exeter
%@affiliation University of Leeds
%@affiliation University of Leeds
%@affiliation Instituto Nacional de Pesquisas da Amazônia (INPA)
%@affiliation University of Edinburgh
%@affiliation Université Paris-Saclay
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation ALTERRA
%@affiliation University of Edinburgh
%@affiliation Harvard University
%@affiliation University of Oklahoma
%@affiliation Fundación Con-Vida
%@affiliation Instituto Nacional de Pesquisas da Amazônia (INPA)
%@affiliation Instituto Nacional de Pesquisas da Amazônia (INPA)
%@affiliation Instituto Nacional de Pesquisas da Amazônia (INPA)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidad Autonoma Gabriel Rene Moreno
%@affiliation ALTERRA
%@affiliation Universidad Autonoma Gabriel Rene Moreno
%@affiliation UNELLEZ-Guanare
%@affiliation Florida International University
%@affiliation Universidade Federal do Acre (UFAC)
%@affiliation INRA
%@affiliation Tropenbos International
%@affiliation Instituto Nacional de Pesquisas da Amazônia (INPA)
%@affiliation Université´ Paul Sabatier
%@affiliation Jardín Botánico de Medellín Joaquín Antonio Uribe
%@affiliation Andes to Amazon Biodiversity Program
%@affiliation Universidade Federal do Pará (UFPA)
%@affiliation University of Texas at Austin
%@affiliation Museu Paraense Emilio Goeldi
%@affiliation Instituto Nacional de Pesquisas da Amazônia (INPA)
%@affiliation Instituto de Investigaciones de la Amazonía Peruana
%@affiliation World Wildlife Fund
%@affiliation James Cook University
%@affiliation James Cook University
%@affiliation Instituto Boliviano de Investigacio´n Forestal
%@affiliation International Affairs at George Mason University (GMU)
%@affiliation University of Oxford
%@affiliation Universidade do Estado de Mato Grosso (UEMT)
%@affiliation Universidade do Estado de Mato Grosso (UEMT)
%@affiliation 9Museu Paraense Emilio Goeldi
%@affiliation Escuela de Ciencias Forestales (ESFOR)
%@affiliation Universidad Estatal Amazónica
%@affiliation Universidad Autonoma del Beni
%@affiliation Wageningen University
%@affiliation Duke University
%@affiliation Wageningen University
%@affiliation Universidad Nacional de Colombia
%@affiliation Universidad de Los Andes
%@affiliation Iwokrama International Centre for Rainforest Conservation and Development
%@affiliation Universidad Nacional de Colombia
%@affiliation Museu Paraense Emilio Goeldi
%@affiliation Universidade Federal do Acre (UFAC)
%@affiliation Universidade Federal de Alagoas (UFAL)
%@affiliation Naturalis Biodiversity Center
%@affiliation Duke University
%@affiliation Iwokrama International Centre for Rainforest Conservation and Development
%@affiliation Instituto Boliviano de Investigación Forestal
%@affiliation Universidad de Los Andes
%@affiliation University of Nottingham
%@affiliation University of Exeter
%@affiliation Museu Paraense Emilio Goeldi
%@affiliation Universidad de Los Andes
%@affiliation Centro de Investigación y Promoción del Campesinado
%@affiliation University of Leeds
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress celso.vonrandow@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress gilvan.sampaio@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress luiz.aragao@inpe.br
%B Global Change Biology
%V 22
%P 3996-4013
%K allometry, carbon, dynamic global vegetation model, forest plots, productivity, tropical forest.
%X Understanding the processes that determine above-ground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody productivity [woody net primary productivity (NPP)] and the rate at which carbon is lost through tree mortality. Here, we test whether two direct metrics of tree mortality (the absolute rate of woody biomass loss and the rate of stem mortality) and/or woody NPP, control variation in AGB among 167 plots in intact forest across Amazonia. We then compare these relationships and the observed variation in AGB and woody NPP with the predictions of four DGVMs. The observations show that stem mortality rates, rather than absolute rates of woody biomass loss, are the most important predictor of AGB, which is consistent with the importance of stand size structure for determining spatial variation in AGB. The relationship between stem mortality rates and AGB varies among different regions of Amazonia, indicating that variation in wood density and height/diameter relationships also influences AGB. In contrast to previous findings, we find that woody NPP is not correlated with stem mortality rates and is weakly positively correlated with AGB. Across the four models, basinwide average AGB is similar to the mean of the observations. However, the models consistently overestimate woody NPP and poorly represent the spatial patterns of both AGB and woody NPP estimated using plot data. In marked contrast to the observations, DGVMs typically show strong positive relationships between woody NPP and AGB. Resolving these differences will require incorporating forest size structure, mechanistic models of stem mortality and variation in functional composition in DGVMs.
%@language en