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Variation in stem mortality rates determines patterns of aboveground biomass in Amazonian forests: implications for dynamic global vegetation models

dc.contributor.authorJohnson, M O
dc.contributor.authorGalbraith, D
dc.contributor.authorGloor, E
dc.contributor.authorDe Deurwaerder, H
dc.contributor.authorGuimberteau, M
dc.contributor.authorRammig, A
dc.contributor.authorThonicke, K
dc.contributor.authorVerbeeck, H
dc.contributor.authorvon Randow, C
dc.contributor.authorMonteagudo, A
dc.contributor.authorPhillips, O L
dc.contributor.authorBrienen, R J W
dc.contributor.authorFeldpausch, T R
dc.contributor.authorLopez Gonzalez, G
dc.contributor.authorFauset, S
dc.contributor.authorQuesada, C A
dc.contributor.authorChristoffersen, B
dc.contributor.authorCiais, P
dc.contributor.authorGilvan, S
dc.contributor.authorKruijt, B
dc.contributor.authorMeir, P
dc.contributor.authorMoorcroft, P
dc.contributor.authorZhang, K
dc.contributor.authorAlvarez, E A
dc.contributor.authorAlves de Oliveira, A
dc.contributor.authorAmaral, I
dc.contributor.authorAndrade, A
dc.contributor.authorAragao, L E O C
dc.contributor.authorAraujo-Murakami, A
dc.contributor.authorArets, E J M M
dc.contributor.authorArroyo, L
dc.contributor.authorAymard, G A
dc.contributor.authorBaraloto, C
dc.contributor.authorBarroso, J
dc.contributor.authorBonal, D
dc.contributor.authorBoot, R
dc.contributor.authorCamargo, J
dc.contributor.authorChave, J
dc.contributor.authorCogollo, A
dc.contributor.authorCornejo, F Valverde
dc.contributor.authorCosta, L da
dc.contributor.authordi Fiore, A
dc.contributor.authorFerreira, L
dc.contributor.authorHiguchi, N
dc.contributor.authorHonorio, E
dc.contributor.authorKilleen, T J
dc.contributor.authorLaurance, S G
dc.contributor.authorLaurance, W F
dc.contributor.authorLicona, J
dc.contributor.authorLovejoy, T
dc.contributor.authorMalhi, Y
dc.contributor.authorMarimon, B
dc.contributor.authorMarimon, B H Junior
dc.contributor.authorMatos, D C L
dc.contributor.authorMendoza, C
dc.contributor.authorNeill, D A
dc.contributor.authorPardo, G
dc.contributor.authorPeña-Claros, M
dc.contributor.authorPitman, N C A
dc.contributor.authorPoorter, L
dc.contributor.authorPrieto, A
dc.contributor.authorRamirez-Angulo, H
dc.contributor.authorRoopsind, A
dc.contributor.authorRudas, A
dc.contributor.authorSalomao, R P
dc.contributor.authorSilveira, M
dc.contributor.authorStropp, J
dc.contributor.authorTer Steege, H
dc.contributor.authorTerborgh, J
dc.contributor.authorThomas, R
dc.contributor.authorToledo, M
dc.contributor.authorTorres-Lezama, A
dc.contributor.authorvan der Heijden, Geertje
dc.contributor.authorVasquez, R
dc.contributor.authorVieira, I
dc.contributor.authorVilanova, E
dc.contributor.authorVos, V A
dc.contributor.authorBaker, T R
dc.date.accessioned2016-09-15T05:40:42Z
dc.date.available2016-09-15T05:40:42Z
dc.date.issued2016-04-15
dc.description.abstractUnderstanding the processes that determine aboveground 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 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 influence 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. This article is protected by copyright. All rights reserved.en_AU
dc.description.sponsorshipThis paper is a product of the European Union’s Seventh Frame-work Programme AMAZALERT project (282664). The field dataused in this study have been generated by the RAINFOR net-work, which has been supported by a Gordon and Betty MooreFoundation grant, the European Union’s Seventh FrameworkProgramme projects 283080, ‘GEOCARBON’; and 282664,‘AMAZALERT’; ERC grant ‘Tropical Forests in the ChangingEarth System’), and Natural Environment Research Council(NERC) Urgency, Consortium and Standard Grants ‘AMAZO-NICA’ (NE/F005806/1), ‘TROBIT’ (NE/D005590/1) and ‘NicheEvolution of South American Trees’ (NE/I028122/1). Additionaldata were included from the Tropical Ecology Assessment andMonitoring (TEAM) Network – a collaboration between Conser-vation International, the Missouri Botanical Garden, the Smith-sonian Institution and the Wildlife Conservation Society, andpartly funded by these institutions, the Gordon and Betty MooreFoundation, and other donors. Fieldwork was also partially sup-ported by Conselho Nacional de Desenvolvimento Cientı´fico eTecnolo´gico of Brazil (CNPq), project Programa de PesquisasEcolo´gicas de Longa Duracßa˜o (PELD-403725/2012-7). A.R.acknowledges funding from the Helmholtz Alliance ‘RemoteSensing and Earth System Dynamics’; L.P., M.P.C. E.A. andM.T. are partially funded by the EU FP7 project ‘ROBIN’(283093), with co-funding for E.A. from the Dutch Ministry ofEconomic Affairs (KB-14-003-030); B.C. [was supported in partby the US DOE (BER) NGEE-Tropics project (subcontract toLANL). O.L.P. is supported by an ERC Advanced Grant and is aRoyal Society-Wolfson Research Merit Award holder. P.M.acknowledges support from ARC grant FT110100457 and NERCgrants NE/J011002/1, and T.R.B. acknowledges support from aLeverhulme Trust Research Fellowship.en_AU
dc.identifier.issn1354-1013en_AU
dc.identifier.urihttp://hdl.handle.net/1885/108886
dc.publisherWileyen_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT110100457en_AU
dc.rights© 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd.This is an open access art icle under the terms of the Creative Commons Attribution License, which permits use,distribution and reproduction in any medium, provided the original work is properly cited.en_AU
dc.sourceGlobal change biologyen_AU
dc.subjectdgvmen_AU
dc.subjectallometryen_AU
dc.subjectcarbonen_AU
dc.subjectforest plotsen_AU
dc.subjectproductivityen_AU
dc.subjecttropical foresten_AU
dc.titleVariation in stem mortality rates determines patterns of aboveground biomass in Amazonian forests: implications for dynamic global vegetation modelsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.contributor.affiliationMeir, P., Research School of Biology, The Australian National Universityen_AU
local.contributor.authoruidu4875047en_AU
local.identifier.doi10.1111/gcb.13315en_AU
local.identifier.essn1365-2486en_AU
local.publisher.urlhttp://au.wiley.com/WileyCDA/en_AU
local.type.statusPublished Versionen_AU

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