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Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models.


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, basin-wide 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.

SUBMITTER: Johnson MO 

PROVIDER: S-EPMC6849555 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models.

Johnson Michelle O MO   Galbraith David D   Gloor Manuel M   De Deurwaerder Hannes H   Guimberteau Matthieu M   Rammig Anja A   Thonicke Kirsten K   Verbeeck Hans H   von Randow Celso C   Monteagudo Abel A   Phillips Oliver L OL   Brienen Roel J W RJ   Feldpausch Ted R TR   Lopez Gonzalez Gabriela G   Fauset Sophie S   Quesada Carlos A CA   Christoffersen Bradley B   Ciais Philippe P   Sampaio Gilvan G   Kruijt Bart B   Meir Patrick P   Moorcroft Paul P   Zhang Ke K   Alvarez-Davila Esteban E   Alves de Oliveira Atila A   Amaral Ieda I   Andrade Ana A   Aragao Luiz E O C LE   Araujo-Murakami Alejandro A   Arets Eric J M M EJ   Arroyo Luzmila L   Aymard Gerardo A GA   Baraloto Christopher C   Barroso Jocely J   Bonal Damien D   Boot Rene R   Camargo Jose J   Chave Jerome J   Cogollo Alvaro A   Cornejo Valverde Fernando F   Lola da Costa Antonio C AC   Di Fiore Anthony A   Ferreira Leandro L   Higuchi Niro N   Honorio Euridice N EN   Killeen Tim J TJ   Laurance Susan G SG   Laurance William F WF   Licona Juan J   Lovejoy Thomas T   Malhi Yadvinder Y   Marimon Bia B   Marimon Ben Hur BH   Matos Darley C L DC   Mendoza Casimiro C   Neill David A DA   Pardo Guido G   Peña-Claros Marielos M   Pitman Nigel C A NC   Poorter Lourens L   Prieto Adriana A   Ramirez-Angulo Hirma H   Roopsind Anand A   Rudas Agustin A   Salomao Rafael P RP   Silveira Marcos M   Stropp Juliana J   Ter Steege Hans H   Terborgh John J   Thomas Raquel R   Toledo Marisol M   Torres-Lezama Armando A   van der Heijden Geertje M F GM   Vasquez Rodolfo R   Guimarães Vieira Ima Cèlia IC   Vilanova Emilio E   Vos Vincent A VA   Baker Timothy R TR  

Global change biology 20160519 12


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  ...[more]

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