Article (Scientific journals)
Large trees drive forest aboveground biomass variation in moist lowland forests accross the tropics
Slik, J. W. Ferry; Paoli, Gary; McGuire, Krista et al.
2013In Global Ecology and Biogeography, 22, p. 1261-1271
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Keywords :
Climate; Ectomycorrhizal associations; Large tree density; Pan-tropical analysis; Soils; Species traits; Tree size; Tropical forest biomass; Wood density; Wind dispersal
Abstract :
[en] Aim Large trees (d.b.h. 70 cm) store large amounts of biomass. Several studies suggest that large trees may be vulnerable to changing climate, potentially leading to declining forest biomass storage. Here we determine the importance of large trees for tropical forest biomass storage and explore which intrinsic (species trait) and extrinsic (environment) variables are associated with the density of large trees and forest biomass at continental and pan-tropical scales. Location Pan-tropical. Methods Aboveground biomass (AGB) was calculated for 120 intact lowland moist forest locations. Linear regression was used to calculate variation in AGB explained by the density of large trees. Akaike information criterion weights (AICcwi) were used to calculate averaged correlation coefficients for all possible multiple regression models between AGB/density of large trees and environmental and species trait variables correcting for spatial autocorrelation. Results Density of large trees explained c. 70% of the variation in pan-tropical AGB and was also responsible for significantly lower AGB in Neotropical [287.8 (mean) 105.0 (SD) Mg ha-1] versus Palaeotropical forests (Africa 418.3 91.8 Mg ha-1; Asia 393.3 109.3 Mg ha-1). Pan-tropical variation in density of large trees and AGB was associated with soil coarseness (negative), soil fertility (positive), community wood density (positive) and dominance of wind dispersed species (positive), temperature in the coldest month (negative), temperature in the warmest month (negative) and rainfall in the wettest month (positive), but results were not always consistent among continents. Main conclusions Density of large trees and AGB were significantly associated with climatic variables, indicating that climate change will affect tropical forest biomass storage. Species trait composition will interact with these future biomass changes as they are also affected by a warmer climate. Given the importance of large trees for variation in AGB across the tropics, and their sensitivity to climate change, we emphasize the need for in-depth analyses of the community dynamics of large trees.
Disciplines :
Phytobiology (plant sciences, forestry, mycology...)
Author, co-author :
Slik, J. W. Ferry
Paoli, Gary
McGuire, Krista
Amaral, Ieda
Barroso, Jorcely
Bastian, Meredith
Blanc, Lilian
Bongers, Frans
Boundja, Patrick
Clark, Connie
Collins, Murray
Dauby, Gilles
Ding, Yi
Doucet, Jean-Louis ;  Université de Liège - ULiège > Forêts, Nature et Paysage > Laboratoire de Foresterie des régions trop. et subtropicales
Eler, Eduardo
Ferreira, Leandro
Forshed, Olle
Fredriksson, Gabriella
Gillet, Jean-François ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol.
Harris, David
Leal, Miguel
Laumonier, Yves
Malhi, Yadvinder
Mansor, Asyraf
Martin, Emmanuel
Miyamoto, Kazuki
Araujo-Murakami, Alejandro
Nagamasu, Hidetoshi
Nilus, Reuben
Nurtjahya, Eddy
Oliveira, Atila
Onrizal, Onrizal
Parada-Gutierrez, Alexander
Permana, Andrea
Poorter, Lourens
Poulsen, John
Ramirez-Angulo, Hirma
Reitsma, Jan
Rovero, Francesco
Rozak, Andes
Sheil, Douglas
Silva-Espejo, Javier
Silveira, Marcos
Spironelo, Wilson
ter Steege, Hans
Stevart, Tariq
Navarro-Aguilar, Gilberto Enrique
Sunderland, Terry
Suzuki, Eizi
Tang, Jianwei
Theilade, Ida
van der Heijden, Geertje
van Valkenburg, Johan
Van Do, Tran
Vilanova, Emilio
Vos, Vincent
Wich, Serge
Wöll, Hannsjoerg
Yoneda, Tsuyoshi
Zang, Runguo
Zhang, Ming-Gang
Zweifel, Nicole
More authors (52 more) Less
Language :
English
Title :
Large trees drive forest aboveground biomass variation in moist lowland forests accross the tropics
Publication date :
2013
Journal title :
Global Ecology and Biogeography
ISSN :
1466-822X
eISSN :
1466-8238
Publisher :
Blackwell Publishing, Oxford, United Kingdom
Volume :
22
Pages :
1261-1271
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 16 July 2013

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