Tree height integrated into pantropical forest biomass estimates

被引:357
作者
Feldpausch, T. R. [1 ]
Lloyd, J. [1 ,2 ]
Lewis, S. L. [1 ,3 ]
Brienen, R. J. W. [1 ]
Gloor, M. [1 ]
Monteagudo Mendoza, A.
Lopez-Gonzalez, G. [1 ]
Banin, L. [1 ,4 ]
Abu Salim, K. [5 ]
Affum-Baffoe, K. [6 ]
Alexiades, M. [7 ]
Almeida, S. [8 ]
Amaral, I. [9 ]
Andrade, A. [9 ]
Aragao, L. E. O. C. [10 ]
Araujo Murakami, A. [11 ]
Arets, E. J. M. M. [12 ]
Arroyo, L. [11 ]
Aymard, G. A. [13 ]
Baker, T. R. [1 ]
Banki, O. S. [14 ]
Berry, N. J. [15 ]
Cardozo, N. [16 ]
Chave, J. [17 ]
Comiskey, J. A. [18 ]
Alvarez, E. [19 ]
de Oliveira, A. [9 ]
Di Fiore, A. [20 ]
Djagbletey, G. [21 ]
Domingues, T. F. [22 ]
Erwin, T. L. [23 ]
Fearnside, P. M. [9 ]
Franca, M. B. [9 ]
Freitas, M. A. [8 ]
Higuchi, N. [9 ]
Honorio, E. [1 ]
Iida, Y. [24 ]
Jimenez, E. [25 ]
Kassim, A. R. [26 ]
Killeen, T. J. [27 ]
Laurance, W. F. [28 ,29 ]
Lovett, J. C. [30 ]
Malhi, Y. [31 ]
Marimon, B. S. [32 ]
Marimon-Junior, B. H. [32 ]
Lenza, E. [32 ]
Marshall, A. R. [33 ,34 ]
Mendoza, C. [35 ]
Metcalfe, D. J. [36 ]
Mitchard, E. T. A. [37 ]
机构
[1] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[2] James Cook Univ, Sch Earth & Environm Sci, Cairns, Qld 4870, Australia
[3] UCL, Dept Geog, London WC1E 6BT, England
[4] Univ Ulster, Sch Environm Sci, Coleraine BT52 1SA, Londonderry, North Ireland
[5] Univ Brunei Darussalam, Fac Sci, Biol Programme, Gadong, Brunei
[6] Forestry Commiss Ghana, Resource Management Support Ctr, Kumasi, Ghana
[7] New York Bot Garden, New York, NY 10458 USA
[8] Museu Paraense Emilio Goeldi, BR-66040170 Belem, Para, Brazil
[9] Natl Inst Res Amazonia INPA, BR-69011970 Manaus, Amazonas, Brazil
[10] Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England
[11] Univ Autonoma Gabriel Rene Moreno, Museo Hist Nat Noel Kempff Mercado, Santa Cruz, Bolivia
[12] Univ Wageningen & Res Ctr, Ctr Ecosyst Studies, NL-6700 AA Wageningen, Netherlands
[13] Herbario Univ PORT, Programa Ciencias Agro & Mar, UNELLEZ Guanare, Estado Portuguesa 3350, Venezuela
[14] Univ Amsterdam, IBED, NL-1090 GE Amsterdam, Netherlands
[15] Univ Edinburgh, Sch GeoSci, Edinburgh EH9 3JN, Midlothian, Scotland
[16] Univ Nacl Amazonia Peruana, Iquitos, Loreto, Peru
[17] Univ Toulouse 3, Lab EDB, F-31062 Toulouse, France
[18] Natl Pk Serv, Mid Atlantic Network, Inventory & Monitoring Program, Fredericksburg, VA 22405 USA
[19] Jardin Bot Medellin, Sede Medellin, Colombia
[20] Univ Texas Austin, Dept Anthropol, Austin, TX 78712 USA
[21] KNUST, Ecosyst & Climate Change Div ESCCD, Forestry Res Inst Ghana FORIG, Kumasi, Ghana
[22] Univ Sao Paulo, Inst Astron Geofis & Ciencias Atmosfer, BR-05508090 Sao Paulo, Brazil
[23] Smithsonian Inst, Dept Entomol, Washington, DC 20013 USA
[24] Hokkaido Univ, Grad Sch Environm Sci, Sapporo, Hokkaido 0600810, Japan
[25] Univ Nacl Colombia, Leticia, Amazonas, Colombia
[26] Forest Res Inst Malaysia FRIM, Kepong 52109, Selangor Darul, Malaysia
[27] Conservat Int, Arlington, VA 22202 USA
[28] James Cook Univ, Ctr Trop Environm & Sustainabil Sci TESS, Cairns, Qld 4878, Australia
[29] James Cook Univ, Sch Marine & Trop Biol, Cairns, Qld 4878, Australia
[30] Univ Twente, CSTM, NL-7500 AE Enschede, Netherlands
[31] Univ Oxford, Environm Change Inst, Sch Geog & Environm, Oxford OX1 2JD, England
[32] Univ Estado Mato Grosso, BR-78690000 Nova Xavantina, MT, Brazil
[33] Univ York, Dept Environm, CIRCLE, York YO10 5DD, N Yorkshire, England
[34] Flamingo Land Ltd, Kirby Misperton YO17 6UX, England
[35] FOMABO Manejo Forestal Tierras Trop Bolivia, Sacta, Bolivia
[36] CSIRO Ecosyst Sci, Trop Forest Res Ctr, Atherton, Qld 4883, Australia
[37] Univ Edinburgh, Sch Geosci, Edinburgh EH8 9XP, Midlothian, Scotland
[38] Univ Estatal Amazon, Fac Ingn Ambiental, Puyo, Pastaza, Ecuador
[39] Natl Inst Res Amazonia INPA, Environm Dynam Dept, BR-69011970 Manaus, Amazonas, Brazil
[40] Forest Res Ctr, Sabah Forestry Dept, Sandakan 90715, Malaysia
[41] Jardin Bot Missouri, Oxapampa, Pasco, Peru
[42] Duke Univ, Ctr Trop Conservat, Durham, NC 27708 USA
[43] Univ Los Andes, Fac Ciencias Forest & Ambientales, Merida, Venezuela
[44] Bur Waardenburg Bv, NL-4100 AJ Culemborg, Netherlands
[45] Univ Nacl Colombia, Bogota, Colombia
[46] Karlsruhe Inst Technol, Garmisch Partenkirchen, Germany
[47] Univ Nacl San Antonio Abad Cusco, Lima, Peru
[48] Univ Fed Acre, BR-69910900 Rio Branco, AC, Brazil
[49] Univ Yaounde, Dept Biol, Yaounde, Cameroon
[50] DG Joint Res Ctr, European Commiss, Inst Environm & Sustainabil, I-21010 Ispra, Italy
基金
欧洲研究理事会;
关键词
TROPICAL RAIN-FOREST; ABOVEGROUND LIVE BIOMASS; NET PRIMARY PRODUCTION; WOOD DENSITY; CARBON STOCKS; LAND-USE; ALLOMETRIC EQUATIONS; AMAZONIAN FORESTS; SPATIAL-PATTERNS; MOIST-FOREST;
D O I
10.5194/bg-9-3381-2012
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Aboveground tropical tree biomass and carbon storage estimates commonly ignore tree height (H). We estimate the effect of incorporating H on tropics-wide forest biomass estimates in 327 plots across four continents using 42 656 H and diameter measurements and harvested trees from 20 sites to answer the following questions: 1. What is the best H-model form and geographic unit to include in biomass models to minimise site-level uncertainty in estimates of destructive biomass? 2. To what extent does including H estimates derived in (1) reduce uncertainty in biomass estimates across all 327 plots? 3. What effect does accounting for H have on plot- and continental-scale forest biomass estimates? The mean relative error in biomass estimates of destructively harvested trees when including H (mean 0.06), was half that when excluding H (mean 0.13). Power- and Weibull-H models provided the greatest reduction in uncertainty, with regional Weibull-H models preferred because they reduce uncertainty in smaller-diameter classes (< 40 cm D) that store about one-third of biomass per hectare in most forests. Propagating the relationships from destructively harvested tree biomass to each of the 327 plots from across the tropics shows that including H reduces errors from 41.8 Mg ha(-1) (range 6.6 to 112.4) to 8.0 Mg ha(-1) (-2.5 to 23.0). For all plots, aboveground live biomass was -52.2 Mg ha(-1) (-82.0 to -20.3 bootstrapped 95% CI), or 13%, lower when including H estimates, with the greatest relative reductions in estimated biomass in forests of the Brazilian Shield, east Africa, and Australia, and relatively little change in the Guiana Shield, central Africa and southeast Asia. Appreciably different stand structure was observed among regions across the tropical continents, with some storing significantly more biomass in small diameter stems, which affects selection of the best height models to reduce uncertainty and biomass reductions due to H. After accounting for variation in H, total biomass per hectare is greatest in Australia, the Guiana Shield, Asia, central and east Africa, and lowest in east-central Amazonia, W. Africa, W. Amazonia, and the Brazilian Shield (descending order). Thus, if tropical forests span 1668 million km(2) and store 285 Pg C (estimate including H), then applying our regional relationships implies that carbon storage is overestimated by 35 Pg C (31-39 bootstrapped 95% CI) if H is ignored, assuming that the sampled plots are an unbiased statistical representation of all tropical forest in terms of biomass and height factors. Our results show that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions due to deforestation.
引用
收藏
页码:3381 / 3403
页数:23
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