globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13315
论文题名:
Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models
作者: Johnson M.O.; Galbraith D.; Gloor M.; De Deurwaerder H.; Guimberteau M.; Rammig A.; Thonicke K.; Verbeeck H.; von Randow C.; Monteagudo A.; Phillips O.L.; Brienen R.J.W.; Feldpausch T.R.; Lopez Gonzalez G.; Fauset S.; Quesada C.A.; Christoffersen B.; Ciais P.; Sampaio G.; Kruijt B.; Meir P.; Moorcroft P.; Zhang K.; Alvarez-Davila E.; Alves de Oliveira A.; Amaral I.; Andrade A.; Aragao L.E.O.C.; Araujo-Murakami A.; Arets E.J.M.M.; Arroyo L.; Aymard G.A.; Baraloto C.; Barroso J.; Bonal D.; Boot R.; Camargo J.; Chave J.; Cogollo A.; Cornejo Valverde F.; Lola da Costa A.C.; Di Fiore A.; Ferreira L.; Higuchi N.; Honorio E.N.; Killeen T.J.; Laurance S.G.; Laurance W.F.; Licona J.; Lovejoy T.; Malhi Y.; Marimon B.; Marimon B.H.; Jr.; Matos D.C.L.; Mendoza C.; Neill D.A.; Pardo G.; Peña-Claros M.; Pitman N.C.A.; Poorter L.; Prieto A.; Ramirez-Angulo H.; Roopsind A.; Rudas A.; Salomao R.P.; Silveira M.; Stropp J.; ter Steege H.; Terborgh J.; Thomas R.; Toledo M.; Torres-Lezama A.; van der Heijden G.M.F.; Vasquez R.; Guimarães Vieira I.C.; Vilanova E.; Vos V.A.; Baker T.R.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2016
卷: 22, 期:12
起始页码: 3996
结束页码: 4013
语种: 英语
英文关键词: allometry ; carbon ; dynamic global vegetation model ; forest plots ; productivity ; tropical forest
Scopus关键词: aboveground biomass ; allometry ; carbon cycle ; forest ecosystem ; mortality ; net primary production ; stem ; tropical forest ; vegetation ; Amazonia ; biomass ; forest ; growth, development and aging ; South America ; theoretical model ; tree ; tropic climate ; Biomass ; Forests ; Models, Theoretical ; South America ; Trees ; Tropical Climate
英文摘要: 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. © 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd.
资助项目: This paper is a product of the European Union's Seventh Framework Programme AMAZALERT project (282664). The field data used in this study have been generated by the RAINFOR network, which has been supported by a Gordon and Betty Moore Foundation grant, the European Union's Seventh Framework Programme projects 283080, ‘GEOCARBON’ ; and 282664, ‘AMAZALERT’ ; ERC grant ‘Tropical Forests in the Changing Earth System’), and Natural Environment Research Council (NERC) Urgency, Consortium and Standard Grants ‘AMAZONICA’ (NE/F005806/1), ‘TROBIT’ (NE/D005590/1) and ‘Niche Evolution of South American Trees’ (NE/I028122/1). Additional data were included from the Tropical Ecology Assessment and Monitoring (TEAM) Network – a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution and the Wildlife Conservation Society, and partly funded by these institutions, the Gordon and Betty Moore Foundation, and other donors. Fieldwork was also partially supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico of Brazil (CNPq), project Programa de Pesquisas Ecológicas de Longa Duração (PELD-403725/2012-7). A.R. acknowledges funding from the Helmholtz Alliance ‘Remote Sensing and Earth System Dynamics’ ; L.P., M.P.C. E.A. and M.T. are partially funded by the EU FP7 project ‘ROBIN’ (283093), with co-funding for E.A. from the Dutch Ministry of Economic Affairs (KB-14-003-030) ; B.C. [was supported in part by the US DOE (BER) NGEE-Tropics project (subcontract to LANL). O.L.P. is supported by an ERC Advanced Grant and is a Royal Society-Wolfson Research Merit Award holder. P.M. acknowledges support from ARC grant FT110100457 and NERC grants NE/J011002/1, and T.R.B. acknowledges support from a Leverhulme Trust Research Fellowship.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61250
Appears in Collections:影响、适应和脆弱性

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作者单位: School of Geography, University of Leeds, Leeds, United Kingdom; CAVElab Computational & Applied Vegetation Ecology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Gent, Belgium; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France; UMR 7619 METIS, IPSL, Sorbonne Universités, UPMC, CNRS, EPHE, Paris, France; TUM School of Life Sciences Weihenstephan, Technical University Munich, Hans-Carl-von-Carlowitz-Platz 2, Freising, Germany; Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg A62, PO Box 60 12 03, Potsdam, Germany; INPE, Av. Dos Astronautas, 1.758, Jd. Granja, Sao Jose dos Campos, SP, Brazil; Jardín Botánico de Missouri, Prolongacion Bolognesi Mz.e, Lote 6, Oxapampa, Pasco, Peru; Geography, College of Life and Environmental Sciences, University of Exeter, Rennes Drive, Exeter, United Kingdom; INPA, Av. André Araújo, 2.936, Petrópolis, Manaus, AM, Brazil; School of Geosciences, University of Edinburgh, Edinburgh, United Kingdom; Earth and Environmental Sciences Division, Los Alamos National Laboratory, PO Box 1663, Los Alamos, NM, United States; ALTERRA, Wageningen-UR, PO Box 47, Wageningen, Netherlands; Research School of Biology, Australian National University, Canberra, ACT, Australia; Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA, United States; Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, National Weather Center, Suite 2100, 120 David L. Boren Blvd, Norman, OK, United States; Fundación Con-Vida, Cr68 A 46 A-77 Medellín, Medellín, Colombia; Museo de Historia Natural Noel Kempff Mercado, Universidad Autonoma Gabriel Rene Moreno, Casilla 2489, Av. Irala 565, Santa Cruz, Bolivia; UNELLEZ-Guanare, Programa de Ciencias del Agro y el Mar, Herbario Universitario (PORT), Mesa de Cavacas, Estado Portuguesa, Venezuela; Department of Biological Sciences, International Center for Tropical Botany (ICTB), Florida International University, 112200 SW 8th Street, OE 167, Miami, FL, United States; Universidade Federal do Acre, Campus de Cruzeiro do Sul, Rio Branco, Brazil; INRA, UMR 1137 “Ecologie et Ecophysiologie Forestiere”, Champenoux, France; Tropenbos International, PO Box 232, Wageningen, Netherlands; Université Paul Sabatier CNRS, UMR 5174 Evolution et Diversité Biologique, bâtiment 4R1, Toulouse, France; Jardín Botánico de Medellín Joaquín Antonio Uribe, Calle 73 # 51 D 14 Medellín, Cartagena, Colombia; Andes to Amazon Biodiversity Program, Puerto Maldonado, Madre de Dios, Peru; Centro de Geociencias, Universidade Federal do Para, Belem, Para, Brazil; Department of Anthropology, University of Texas at Austin, SAC Room 5.150, 2201 Speedway Stop C3200, Austin, TX, United States; Museu Paraense Emilio Goeldi, Av. Magalhães Barata, 376 - São Braz, Belém, PA, Brazil; Instituto de Investigaciones de la Amazonía Peruana, Av. José Quiñones km 2.5, Iquitos, Peru; World Wildlife Fund, 1250 24th St NW, Washington, DC, United States; Centre for Tropical Environmental and Sustainability Science (TESS) and College of Marine and Environmental Sciences, James Cook University, Cairns, Qld, Australia; Instituto Boliviano de Investigación Forestal, Santa Cruz de la Sierra, Bolivia; Environmental Science and Policy Department and the Department of Public and International Affairs at George Mason University (GMU), 3351 Fairfax Drive, Arlington, Washington, DC, United States; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford, United Kingdom; Universidade do Estado de Mato Grosso, Campus de Nova Xavantina, Caixa Postal 08, Nova Xavantina, MT, Brazil; Escuela de Ciencias Forestales (ESFOR), Av. Final Atahuallpa s/n, Casilla 447, Cochabamba, Bolivia; Facultad de Ingeniería Ambiental, Universidad Estatal Amazónica, Paso lateral km 2 1/2 via Napo, Puyo, Pastaza, Ecuador; Universidad Autonoma del Beni, Campus Universitario, Av. Ejército Nacional, final, Riberalta, Beni, Bolivia; Forest Ecology and Forest Management Group, Wageningen University, PO Box 47, Wageningen, Netherlands; Center for Tropical Conservation, Duke University, Box 90381, Durham, NC, United States; Doctorado Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogotá, Colombia; Instituto de Investigaciones para el Desarrollo Forestal, Universidad de Los Andes, Avenida Principal Chorros de Milla, Campus Universitario Forestal, Edificio Principal, Mérida, Venezuela; Iwokrama International Centre for Rainforest Conservation and Development, 77 High Street Kingston, Georgetown, Guyana; Museu Universitário, Universidade Federal do Acre, Rio Branco, AC, Brazil; Institute of Biological and Health Sciences, Federal University of Alagoas, Av. Lourival Melo Mota s/n, Tabuleiro do Martins, Maceió, Brazil; Naturalis Biodiversity Center, PO Box 9517, Leiden, Netherlands; School of Geography, University of Nottingham, Nottingham, United Kingdom; Centro de Investigación y Promoción del Campesinado, regional Norte Amazónico, C/Nicanor Gonzalo Salvatierra N° 362, Casilla 16, Riberalta, Bolivia; Universidad Autónoma del Beni, Avenida 6 de Agosto N° 64, Riberalta, Bolivia

Recommended Citation:
Johnson M.O.,Galbraith D.,Gloor M.,et al. Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models[J]. Global Change Biology,2016-01-01,22(12)
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