Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics

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Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. / 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; Eler, Eduardo; Ferreira, Leandro; Forshed, Olle; Fredriksson, Gabriella; Gillet, Jean-Francois; Harris, Davis; Leal, Miguel; Laumonier, Yved; Malhi, Yadvinder; Mansor, Asyraf; Martin, Emanuel; Miyamoto, Kazuki; Araujo-Murakami, Alejandro; Nagamasu, Hidetoshi; Nilus, Reuben; Nurtjahya, Eddy; Oliveira, Átila; 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, Hansjoerg; Yoneda, Tsuyoshi; Zang, Runguo; Zhang, Ming-Gang; Zweifel, Nicole.

I: Global Ecology and Biogeography, Bind 22, Nr. 12, 2013, s. 1261-1271.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Slik, JWF, Paoli, G, McGuire, K, Amaral, I, Barroso, J, Bastian, M, Blanc, L, Bongers, F, Boundja, P, Clark, C, Collins, M, Dauby, G, Ding, Y, Doucet, J-L, Eler, E, Ferreira, L, Forshed, O, Fredriksson, G, Gillet, J-F, Harris, D, Leal, M, Laumonier, Y, Malhi, Y, Mansor, A, Martin, E, Miyamoto, K, Araujo-Murakami, A, Nagamasu, H, Nilus, R, Nurtjahya, E, Oliveira, Á, Onrizal, O, Parada-Gutierrez, A, Permana, A, Poorter, L, Poulsen, J, Ramirez-Angulo, H, Reitsma, J, Rovero, F, Rozak, A, Sheil, D, Silva-Espejo, J, Silveira, M, Spironelo, W, ter Steege, H, Stevart, T, Navarro-Aguilar, GE, Sunderland, T, Suzuki, E, Tang, J, Theilade, I, van der Heijden, G, van Valkenburg, J, Van Do, T, Vilanova, E, Vos, V, Wich, S, Wöll, H, Yoneda, T, Zang, R, Zhang, M-G & Zweifel, N 2013, 'Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics', Global Ecology and Biogeography, bind 22, nr. 12, s. 1261-1271. https://doi.org/10.1111/geb.12092

APA

Slik, J. W. F., Paoli, G., McGuire, K., Amaral, I., Barroso, J., Bastian, M., Blanc, L., Bongers, F., Boundja, P., Clark, C., Collins, M., Dauby, G., Ding, Y., Doucet, J-L., Eler, E., Ferreira, L., Forshed, O., Fredriksson, G., Gillet, J-F., ... Zweifel, N. (2013). Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. Global Ecology and Biogeography, 22(12), 1261-1271. https://doi.org/10.1111/geb.12092

Vancouver

Slik JWF, Paoli G, McGuire K, Amaral I, Barroso J, Bastian M o.a. Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. Global Ecology and Biogeography. 2013;22(12):1261-1271. https://doi.org/10.1111/geb.12092

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 ; Eler, Eduardo ; Ferreira, Leandro ; Forshed, Olle ; Fredriksson, Gabriella ; Gillet, Jean-Francois ; Harris, Davis ; Leal, Miguel ; Laumonier, Yved ; Malhi, Yadvinder ; Mansor, Asyraf ; Martin, Emanuel ; Miyamoto, Kazuki ; Araujo-Murakami, Alejandro ; Nagamasu, Hidetoshi ; Nilus, Reuben ; Nurtjahya, Eddy ; Oliveira, Átila ; 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, Hansjoerg ; Yoneda, Tsuyoshi ; Zang, Runguo ; Zhang, Ming-Gang ; Zweifel, Nicole. / Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. I: Global Ecology and Biogeography. 2013 ; Bind 22, Nr. 12. s. 1261-1271.

Bibtex

@article{10d0c79ebf0c4fd882d18c198a8938ae,
title = "Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics",
abstract = "AimLarge 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.LocationPan-tropical.MethodsAboveground 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 (AICc-wi) 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.ResultsDensity 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 conclusionsDensity 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.",
author = "J.W.Ferry Slik and Gary Paoli and Krista McGuire and Ieda Amaral and Jorcely Barroso and Meredith Bastian and Lilian Blanc and Frans Bongers and Patrick Boundja and Connie Clark and Murray Collins and Gilles Dauby and Yi Ding and Jean-Louis Doucet and Eduardo Eler and Leandro Ferreira and Olle Forshed and Gabriella Fredriksson and Jean-Francois Gillet and Davis Harris and Miguel Leal and Yved Laumonier and Yadvinder Malhi and Asyraf Mansor and Emanuel Martin and Kazuki Miyamoto and Alejandro Araujo-Murakami and Hidetoshi Nagamasu and Reuben Nilus and Eddy Nurtjahya and {\'A}tila Oliveira and Onrizal Onrizal and Alexander Parada-Gutierrez and Andrea Permana and Lourens Poorter and John Poulsen and Hirma Ramirez-Angulo and Jan Reitsma and Francesco Rovero and Andes Rozak and Douglas Sheil and Javier Silva-Espejo and Marcos Silveira and Wilson Spironelo and {ter Steege}, Hans and Tariq Stevart and Navarro-Aguilar, {Gilberto Enrique} and Terry Sunderland and Eizi Suzuki and Jianwei Tang and Ida Theilade and {van der Heijden}, Geertje and {van Valkenburg}, Johan and {Van Do}, Tran and Emilio Vilanova and Vincent Vos and Serge Wich and Hansjoerg W{\"o}ll and Tsuyoshi Yoneda and Runguo Zang and Ming-Gang Zhang and Nicole Zweifel",
year = "2013",
doi = "10.1111/geb.12092",
language = "English",
volume = "22",
pages = "1261--1271",
journal = "Global Ecology and Biogeography",
issn = "1466-822X",
publisher = "Wiley-Blackwell",
number = "12",

}

RIS

TY - JOUR

T1 - Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics

AU - Slik, J.W.Ferry

AU - Paoli, Gary

AU - McGuire, Krista

AU - Amaral, Ieda

AU - Barroso, Jorcely

AU - Bastian, Meredith

AU - Blanc, Lilian

AU - Bongers, Frans

AU - Boundja, Patrick

AU - Clark, Connie

AU - Collins, Murray

AU - Dauby, Gilles

AU - Ding, Yi

AU - Doucet, Jean-Louis

AU - Eler, Eduardo

AU - Ferreira, Leandro

AU - Forshed, Olle

AU - Fredriksson, Gabriella

AU - Gillet, Jean-Francois

AU - Harris, Davis

AU - Leal, Miguel

AU - Laumonier, Yved

AU - Malhi, Yadvinder

AU - Mansor, Asyraf

AU - Martin, Emanuel

AU - Miyamoto, Kazuki

AU - Araujo-Murakami, Alejandro

AU - Nagamasu, Hidetoshi

AU - Nilus, Reuben

AU - Nurtjahya, Eddy

AU - Oliveira, Átila

AU - Onrizal, Onrizal

AU - Parada-Gutierrez, Alexander

AU - Permana, Andrea

AU - Poorter, Lourens

AU - Poulsen, John

AU - Ramirez-Angulo, Hirma

AU - Reitsma, Jan

AU - Rovero, Francesco

AU - Rozak, Andes

AU - Sheil, Douglas

AU - Silva-Espejo, Javier

AU - Silveira, Marcos

AU - Spironelo, Wilson

AU - ter Steege, Hans

AU - Stevart, Tariq

AU - Navarro-Aguilar, Gilberto Enrique

AU - Sunderland, Terry

AU - Suzuki, Eizi

AU - Tang, Jianwei

AU - Theilade, Ida

AU - van der Heijden, Geertje

AU - van Valkenburg, Johan

AU - Van Do, Tran

AU - Vilanova, Emilio

AU - Vos, Vincent

AU - Wich, Serge

AU - Wöll, Hansjoerg

AU - Yoneda, Tsuyoshi

AU - Zang, Runguo

AU - Zhang, Ming-Gang

AU - Zweifel, Nicole

PY - 2013

Y1 - 2013

N2 - AimLarge 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.LocationPan-tropical.MethodsAboveground 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 (AICc-wi) 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.ResultsDensity 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 conclusionsDensity 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.

AB - AimLarge 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.LocationPan-tropical.MethodsAboveground 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 (AICc-wi) 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.ResultsDensity 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 conclusionsDensity 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.

U2 - 10.1111/geb.12092

DO - 10.1111/geb.12092

M3 - Journal article

VL - 22

SP - 1261

EP - 1271

JO - Global Ecology and Biogeography

JF - Global Ecology and Biogeography

SN - 1466-822X

IS - 12

ER -

ID: 108819225