@Article{JohnsonGGDGRTVVMPBFLFQCCOKMMZAOAAAAAAABBBBCCCCCDFHHKLLLLMMMMMNPPPPPRRRSSSSTTTTVVVVVB:2016:ImDyGl,
author = "Johnson, M. O. and Galbraith, D. and Gloor, E. and Deurwaerder, H.
de and Guimberteau, M. and Rammig, A. and Thonicke, K. and
Verbeeck, H. and Von Randow, Celso and Monteagudo, A and Phillips,
O. L. and Brienen, R. J. W. and Feldpausch, T. R. and Lopez
Gonzalez, G. and Fauset, S. and Quesada, C. A. and Christoffersen,
B. and Ciais, P. and Oliveira, Gilvan Sampaio de and Kruijt, B.
and Meir, P. and Moorcroft, P. and Zhang, K. and Alvarez, E. A.
and Oliveira, A. Alves de and Amaral, I. and Andrade, A. and
Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Araujo-Murakami,
A. and Arets, E. J. M. M. and Arroyo, L. and Aymard, G. A. and
Baraloto, C. and Barroso, J. and Bonal, D. and Boot, R. and
Camargo, J. and Chave, Jerome and Cogollo, A. and Cornejo, F.
Valverde and Costa, L. da and Di Fiore, A. and Ferreira, L. and
Higuchi, N. and Honorio, E. and Killeen, T. J. and Laurance, S. G.
and Laurance, W. F. and Licona, J. and Lovejoy, T. and Malhi, Y.
and Marimon, B. and Marimon Junior, B. H. and Matos, D. C. L. and
Mendoza, C. and Neill, D. A. and Pardo, G. and Peņa-Claros, M. and
Pitman, N. C. A. and Poorter, L. and Prieto, A and Ramirez-Angulo,
H. and Roopsind, A. and Rudas, A. and Salomao, R. P. and Silveira,
M. and Stropp, J. and ter Steege, H. and Terborgh, J. and Thomas,
R. and Toledo, M. and Torres-Lezama, A. and Van Der Heijden, G. M.
F. and Vasquez, R. and Vieira, I. and Vilanova, E. and Vos, V. A.
and Baker, T. R.",
affiliation = "{University of Leeds} and {University of Leeds} and {University of
Leeds} and {Ghent University} and {Universit{\'e} Paris-Saclay}
and {Technical University Munich} and {Potsdam Institute for
Climate Impact Research (PIK)} and {Ghent University} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Jard{\'{\i}}n Bot{\'a}nico de Missouri} and {University of
Leeds} and {University of Leeds} and {University of Exeter} and
{University of Leeds} and {University of Leeds} and {Instituto
Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and {University of
Edinburgh} and {Universit{\'e} Paris-Saclay} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and ALTERRA and
{University of Edinburgh} and {Harvard University} and {University
of Oklahoma} and {Fundaci{\'o}n Con-Vida} and {Instituto Nacional
de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de
Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de
Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidad Autonoma Gabriel Rene
Moreno} and ALTERRA and {Universidad Autonoma Gabriel Rene Moreno}
and UNELLEZ-Guanare and {Florida International University} and
{Universidade Federal do Acre (UFAC)} and INRA and {Tropenbos
International} and {Instituto Nacional de Pesquisas da
Amaz{\^o}nia (INPA)} and {Universit{\'e}´ Paul Sabatier} and
{Jard{\'{\i}}n Bot{\'a}nico de Medell{\'{\i}}n
Joaqu{\'{\i}}n Antonio Uribe} and {Andes to Amazon Biodiversity
Program} and {Universidade Federal do Par{\'a} (UFPA)} and
{University of Texas at Austin} and {Museu Paraense Emilio Goeldi}
and {Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and
{Instituto de Investigaciones de la Amazon{\'{\i}}a Peruana} and
{World Wildlife Fund} and {James Cook University} and {James Cook
University} and {Instituto Boliviano de Investigacio´n Forestal}
and {International Affairs at George Mason University (GMU)} and
{University of Oxford} and {Universidade do Estado de Mato Grosso
(UEMT)} and {Universidade do Estado de Mato Grosso (UEMT)} and
{9Museu Paraense Emilio Goeldi} and {Escuela de Ciencias
Forestales (ESFOR)} and {Universidad Estatal Amaz{\'o}nica} and
{Universidad Autonoma del Beni} and {Wageningen University} and
{Duke University} and {Wageningen University} and {Universidad
Nacional de Colombia} and {Universidad de Los Andes} and {Iwokrama
International Centre for Rainforest Conservation and Development}
and {Universidad Nacional de Colombia} and {Museu Paraense Emilio
Goeldi} and {Universidade Federal do Acre (UFAC)} and
{Universidade Federal de Alagoas (UFAL)} and {Naturalis
Biodiversity Center} and {Duke University} and {Iwokrama
International Centre for Rainforest Conservation and Development}
and {Instituto Boliviano de Investigaci{\'o}n Forestal} and
{Universidad de Los Andes} and {University of Nottingham} and
{University of Exeter} and {Museu Paraense Emilio Goeldi} and
{Universidad de Los Andes} and {Centro de Investigaci{\'o}n y
Promoci{\'o}n del Campesinado} and {University of Leeds}",
title = "Variation in stem mortality rates determines patterns of
aboveground biomass in Amazonian forests: implications for dynamic
global vegetation models",
journal = "Global Change Biology",
year = "2016",
volume = "22",
pages = "3996--4013",
keywords = "allometry, carbon, dynamic global vegetation model, forest plots,
productivity, tropical forest.",
abstract = "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.",
doi = "10.1111/gcb.13315",
url = "http://dx.doi.org/10.1111/gcb.13315",
issn = "1354-1013",
label = "lattes: 5174466549126882 28
JohnsonGGDGRTVVMPBFLFQCCGKMMZAAAAAAAAABBBBCCCCCDFHHKLLLLMMMMMNPPPPPRRRSSSSTTTTVVVVVB:2016:ImDyGl",
language = "en",
urlaccessdate = "23 maio 2024"
}