文献类型：期刊文献

英文题名：Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics

作者：Slik, J. W. Ferry[1] Paoli, Gary[2] McGuire, Krista[3] Amaral, Ieda[4] Barroso, Jorcely[5] Bastian, Meredith[6] Blanc, Lilian[7] Bongers, Frans[8] Boundja, Patrick[9] Clark, Connie[10] Collins, Murray[11,12] Dauby, Gilles[13] Ding, Yi[14,15] Doucet, Jean-Louis[16] Eler, Eduardo Ferreira, Leandro[17] Forshed, Olle[18] Fredriksson, Gabriella[19] Gillet, Jean-Francois[20] Harris, David[21] Leal, Miguel[22] Laumonier, Yves[23] Malhi, Yadvinder[24] Mansor, Asyraf Martin, Emanuel[25] Miyamoto, Kazuki[26] Araujo-Murakami, Alejandro[27] Nagamasu, Hidetoshi[28] Nilus, Reuben[29] Nurtjahya, Eddy[30] Oliveira, Atila[1] Onrizal, Onrizal[31] Parada-Gutierrez, Alexander[27] Permana, Andrea[32] Poorter, Lourens[8] Poulsen, John[16] Ramirez-Angulo, Hirma[33] Reitsma, Jan[34] Rovero, Francesco[35] Rozak, Andes[36] Sheil, Douglas[37,38,39] Silva-Espejo, Javier[40] Silveira, Marcos[41] Spironelo, Wilson ter Steege, Hans[42] Stevart, Tariq[43] Navarro-Aguilar, Gilberto Enrique[44] Sunderland, Terry[23] Suzuki, Eizi[45] Tang, Jianwei[46] Theilade, Ida[47] van der Heijden, Geertje[48,49] van Valkenburg, Johan[50] Van Do, Tran[51] Vilanova, Emilio[52] Vos, Vincent[53] Wich, Serge[54] Woell, Hannsjoerg[55] Yoneda, Tsuyoshi[56] Zang, Runguo[57] Zhang, Ming Gang[58] Zweifel, Nicole[59]

第一作者：Slik, J. W. Ferry

通信作者：Slik, JWF[1]

机构：[1]Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Menglun 666303, Yunnan, Peoples R China;[2]Daemeter Consulting, Bogor, West Java, Indonesia;[3]Columbia Univ Barnard Coll, Dept Biol, New York, NY 10027 USA;[4]INPA, TEAM Network, Manaus, Amazonas, Brazil;[5]Univ Fed Acre, Ctr Multidisciplinar, Acre, Brazil;[6]Philadelphia Zoo, Philadelphia, PA USA;[7]EMBRAPA, CIRAD, Belem, Para, Brazil;[8]Wageningen Univ, Ctr Ecosyst Studies, NL-6700 AP Wageningen, Netherlands;[9]TEAM Network, Nouabale Ndoki Natl Pk & periphery, Brazzaville, Rep Congo;[10]Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA;[11]Inst Zool, Zool Soc London, London, England;[12]London Sch Econ & Polit Sci, Grantham Res Inst Climate Change & Environm, London, England;[13]Univ Libre Bruxelles, Brussels, Belgium;[14]Key Lab Forest Ecol & Environm, State Forestry Adm, Beijing, Peoples R China;[15]Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Beijing, Peoples R China;[16]Univ Liege, Gembloux Agrobio Tech, Lab Trop & Subtrop forestry, Unit Forest & Nat Management, Gembloux, Belgium;[17]Museu Paraense Emilio Goeldi, Belem, Para, Brazil;[18]WWF, Solna, Sweden;[19]Univ Amsterdam, Inst Biodivers & Ecosyst Dynam, Amsterdam, Netherlands;[20]Univ Liege, Gembloux Agrobio Tech, Lab Trop & Subtrop forestry Nat Plus, Unit Forest & Nat Management, Gembloux, Belgium;[21]Royal Bot Gardens, Edinburgh, Midlothian, Scotland;[22]Wildlife Conservat Soc, Kabale, Uganda;[23]Ctr Int Forestry Res CIFOR, Bogor, West Java, Indonesia;[24]Univ Oxford, Sch Geog & Environm, Oxford, England;[25]Udzungwa Ecol Monitoring Ctr, Mangula, Tanzania;[26]FFPRI, Shikoku Res Ctr, Kochi, Japan;[27]Univ Autonoma Gabriel Rene Moreno, Museo Hist Nat Noel Kempff Mercado, Santa Cruz, CA, Bolivia;[28]Kyoto Univ, Kyoto Univ Museum, Kyoto, Japan;[29]Forest Res Ctr, Sabah Forestry Dept, Sandakan, Sabah, Malaysia;[30]Univ Bangka Belitung, Bangka, Indonesia;[31]Univ Sumatera Utara, Fac Agr, Forestry Sci Dept, Medan, Indonesia;[32]Univ Zurich, Anthropol Inst & Museum, Zurich, Switzerland;[33]Univ Los Andes, Merida, Venezuela;[34]Bur Waardenburg bv, Culemborg, Netherlands;[35]Trop Biodivers Sect, Museo Sci, Trento, Italy;[36]Indonesian Inst Sci LIPI, Cibodas Bot Gardens, Cimacan, West Java, Indonesia;[37]So Cross Univ, Sch Environm Sci & Engn, Lismore, NSW 2480, Australia;[38]Inst Trop Forest Conservat, Kabale, Uganda;[39]Ctr Int Forestry Res, Bogor 16000, Indonesia;[40]Univ San Abad Cusco, Cuzco, Peru;[41]Univ Fed Acre, Acre, Brazil;[42]Nat Biodivers Ctr, Leiden, Netherlands;[43]Africa & Madagascar Dept, Missouri Bot Garden, St Louis, MO USA;[44]Univ Nacl Amazonia Peruana, Iquitos, Peru;[45]Kagoshima Univ, Dept Earth & Environm Sci, Kagoshima 890, Japan;[46]Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Menglun, Yunnan, Peoples R China;[47]Univ Copenhagen, Fac Sci, Copenhagen, Denmark;[48]Univ Wisconsin, Milwaukee, WI 53201 USA;[49]Smithsonian Trop Res Inst, Panama City 03092, Panama;[50]Wageningen Univ, Plant Protect Serv, NL-6700 AP Wageningen, Netherlands;[51]Kyoto Univ, Grad Sch Agr, Kyoto, Japan;[52]Univ Los Andes, Inst Invest Desarrollo Forestal INDEFOR, Merida, Venezuela;[53]Univ Autonoma Beni, Riberalta, Bolivia;[54]Liverpool John Moores Univ, Sch Nat Sci & Psychol, Res Ctr Evolutionary Anthropol & Palaeoecol, Liverpool L3 5UX, Merseyside, England;[55]Conservat & Nat Resources Management, Bad Aussee, Austria;[56]Kagoshima Univ, Fac Agr, Kagoshima 890, Japan;[57]Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Key Lab Forest Ecol & Environm, State Forestry Adm, Beijing, Peoples R China;[58]Chinese Acad Sci, Inst Bot, Beijing, Peoples R China;[59]Univ Zurich, Inst Evolutionary Biol & Biol Syst, Zurich, Switzerland

年份：2013

卷号：22

期号：12

起止页码：1261-1271

外文期刊名：GLOBAL ECOLOGY AND BIOGEOGRAPHY

收录：;Scopus(收录号：2-s2.0-84887410403);WOS:【SCI-EXPANDED(收录号:WOS:000326649100003)】；

基金：We thank all the participating institutional partners: 'Instituto Nacional de Pesquisas da Amazonia' (INPA), 'Silvicultural Treatment for the Regeneration of Logged-over Forest in East Kalimantan' (STREK), 'PlotNet Forest Database' (Lopez-Gonzalez et al., 2010), 'Tropical Ecology Assessment and Monitoring Network' (TEAM, a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution and the Wildlife Conservation Society, and partially funded by these institutions, the Gordon and Betty Moore Foundation and other donors), and 'The Forest Plots Network'. The following people are thanked for sharing their tree inventory data sets with us: Michel Baisie, John Terborgh, Ted Feldpausch, Anand Roopsind, Kyle Dexter, Meyner Nuscalawo, Luzmilla Arroyo, Lee White, Tim Baker, Gaby Lopez-Gonzalez, Raquel Thomas, Erasmo Alejo, Jerome Chave, Olaf Banki, Bonaventure Sonke, Fernando Cornejo, Rodolfo Vasquez, Campbell Webb, Euridice Honorio, Simon Lewis, Kade Sidiyasa, Roel Brienen, Ieda Amaral, Eric-Andre Nicolini, Oliver Phillips, Abel Monteagudo, James Singh, Vincent Bezard, Petrus Naisso, Miranda Nino, Timothy Paine, Casimiro Mendoza and Peter Ashton. We would also like to thank the large number of field assistants and botanists that helped measure, collect and identify all the plants.

语种：英文

外文关键词：Climate; ectomycorrhizal associations; large tree density; pan-tropical analysis; soils; species traits; tree size; tropical forest biomass; wood density; wind dispersal

摘要：AimLarge trees (d.b.h.70cm) 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.