Allometric equation for predicting aboveground biomass of three tree species

Journal of Tropical Forest Science

Volumn 23, Issue 2, 2011, Pages 125-132

  Ebuy, J ^a   Lokombe, J P ^a   Ponette, Q ^b   Sonwa, D ^c   Picard, N ^d  

^a UNIVERSITY OF KISANGANI   (Congo)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^c CIFOR   (Cameroon)

^d CIRAD   (France)

Author keywords

Carbon stock; Central Africa; Congo Basin; Destructive sampling; Site specific equation

Indexed keywords

CARBON STOCKS; CENTRAL AFRICA; CONGO BASIN; DESTRUCTIVE SAMPLING; SITE-SPECIFIC EQUATION;

FORESTRY;

BIOMASS;

ABOVEGROUND BIOMASS; ALLOMETRY; CARBON SEQUESTRATION; DATA SET; RAINFOREST; SAMPLING BIAS; SITE CHARACTERIZATION; TROPICAL FOREST;

BASINS; BIOMASS; CENTRAL AFRICA; FORESTRY; SAMPLING; SPECIES IDENTIFICATION;

DEMOCRATIC REPUBLIC CONGO;

EID: 79955610783     PISSN: 01281283     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Araújo TM, Higuchi N & De carvalho JA. 1999. Comparison of formulae for biomass content determination in a tropical rain forest site in the state of Pará, Brazil. Forest Ecology and Management 117: 43-52. (Pubitemid 29174659)
2. Baccini A, Laporte N, Goetz SJ, Sun M & Dong H. 2008. A first map of tropical Africa's above-ground biomass derived from satellite imagery. Environmental Research Letters 3 doi 10.1088/1748-9326/3/4/045011.
3. Basuki TM, Van Laake PE, Skidmore AK & Hussin YA. 2009. Allometric equations for estimating the above-ground biomass in tropical lowland dipterocarp forests. Forest Ecology and Management 257: 1684-1694.
4. Brown S. 1997. Estimating Biomass and Biomass Change of Tropical Forests: a Primer. FAO Forestry Paper No. 134. FAO, Rome.
5. Brown IF, Martinelli LA, Thomas WW, Moreira MZ, Victoria RA & Ferreira CAC. 1995. Uncertainty in the biomass of Amazonian forests: an example from Rondônia, Brazil. Forest Ecology and Management 75: 175-189. (Pubitemid 26452359)
6. Bultot F. 1971. Atlas Climatique du Bassin Congolais. INEAC, Bruxelles.
7. Burnham KP & Anderson DR. 2004. Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods and Research 33: 261-304. (Pubitemid 39519124)
8. Chambers JQ, Dos Santos J, Ribeiro RJ & Higuchi N. 2001. Tree damage, allometric relationships, and aboveground net primary production in central Amazon forest. Forest Ecology and Management 152: 73-84. (Pubitemid 32949001)
9. Chamshama SAO, Mugasha AG & Zahabu E. 2004. Stand biomass and volume estimation for Miombo woodlands at Kitulangalo, Morogoro, Tanzania. Southern African Forestry Journal 200: 59-70. (Pubitemid 38592434)
10. Cha Ve J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fölster H, Fromard F, Higuchi N, Kira T, Lescure JP, Nelson BW, Ogawa H, Puig H, Riéra B & Yamakura T. 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145: 87-99. (Pubitemid 41407832)
11. Cha Ve J, Riera B & Dubois MA. 2001. Estimation of biomass in a neotropical forest of French Guiana: spatial and temporal variability. Journal of Tropical Ecology 17: 79-96. (Pubitemid 32152149)
12. CTFT . 1954. Mukulungu. Bois et Forêts des Tropiques 36: 25-28.
13. CTFT. 1975. Limbali. Bois et Forêts des Tropiques 164: 49-62.
14. CTFT. 1992. Limbali. Bois et Forêts des Tropiques 234: 69-72.
15. Deans JD, Moran J & Grace J. 1996. Biomass relationships for tree species in regenerating semi-deciduous tropical moist forest in Cameroon. Forest Ecology and Management 88: 215-225.
16. Gibbs HK, Brown S, Niles JO & Foley JA. 2007. Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters 2: 13.
17. Hofstad O. 2005. Review of biomass and volume functions for individual trees and shrubs in Southeast Africa. Journal of Tropical Forest Science 17: 151-162. (Pubitemid 40450040)
18. Keller M, Palace M & Hurtt G. 2001. Biomass estimation in the Tapajos National Forest, Brazil. Examination of sampling and allometric uncertainties. Forest Ecology and Management 154: 371-382. (Pubitemid 33053006)
19. Kett erings QM, Coe R, Van Noordwijk M, Amba gau Y & Palm CA. 2001. Reducing uncertainty in the use of allometric biomass equations for predicting aboveground tree biomass in mixed secondary forests. Forest Ecology and Management 146: 199-209. (Pubitemid 32424707)
20. Lescure JP, Puig H, Riera B, Leclerc D, Beekman A & Beneteau A. 1983. La phytomasse épigée d'une forêt dense en Guyane française. Acta Oecologica 4: 237-251.
21. Lewis SL, Lopez-Gonzalez G, Sonké B, Affum-Baffoe K, Baker TR, Ojo LO, Phillips OL, Reitsma JM, White L, Comiskey JA, Djuikouo KMN, Ewango CEN, Feldpausch TR, Hamilton AC, Gloor M, Hart T, Hladik A, Lloyd J, Lovett JC, Makana JR, Malhi Y, Mbago FM, Ndangalasi HJ, Peacock J, Peh KSH, Sheil D, Sunderland T, Swaine MD, Taplin J, Taylor D, Thomas SC, Votere R & Wöll H. 2009. Increasing carbon storage in intact African tropical forests. Nature 457: 1003-1007.
22. Nelson BW, Mesquita R, Pereira LG, De Souza SGA, Teixeira Batista G & Bovino Couto L. 1999. Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management 117: 149-167. (Pubitemid 29174666)
23. Nogueira EM, Fearnside PM, Nelson BW, Barbosa RI & Keizer EWH . 2008. Estimates of forest biomass in the Brazilian Amazon: new allometric equations and adjustments to biomass from wood-volume inventories. Forest Ecology and Management 256: 1853-1867.
24. Ola-Adams BA. 1993. Effects of spacing on biomass distribution and nutrient content of Tectona grandis Linn. f. (teak) and Terminalia superba Engl. & Diels. (afara) in south-western Nigeria. Forest Ecology and Management 58: 299-319.
25. Onyekwelu JC. 2007. Growth, biomass yield and biomass functions for plantation-grown Nauclea diderrichii (de Wild) in the humid tropical rainforest zone of south-western Nigeria. Bioresource Technology 98: 2679-2687. (Pubitemid 46498738)
26. Pardé J & Bouchon J. 1988. Dendrométrie. ENGREF, Nancy. Parresol Br. 1999. Assessing tree and stand biomass: a review with examples and critical comparisons. Forest Science 45: 573-593.
27. Pendje G. 1993. Croissance et productivité de deux essences forestières plantées au Mayombe, Zaïre: le limba (Terminalia superba Eng. et Diels) et le bilinga (Nauclea diderrichii (De Wild) Merrill). Geo-Eco-Trop 17: 101-120.
28. Russell C. 1983. Nutrient cycling and productivity of native and plantation forests at Jari Florestal, Para, Brazil. PhD thesis, University Of Georgia, Athens.
29. Smektala G, Hautdidier B, Gautier D, Peltier R, Njiemoun A & Tapsou. 2002. Construction de tarifs de biomasse pour l'évaluation de la disponibilité ligneuse en zone de savanes au nord-Cameroun. P 10 in Jamin JY & Seiny Boukar L (Eds) Savanes Africaines: des Espaces en Mutation, des Acteurs face à de Nouveaux Défis. Prasac, N'Djamena.
30. Tietema T. 1993. Biomass determination of fuelwood trees and bushes of Botswana, Southern Africa. Forest Ecology and Management 60: 257-269. (Pubitemid 24411274)
31. Zanne Ae, Lopez-Gonzalez G, Coomes Da, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC & Chave J. 2009. Global Wood Density Database. http://hdl.handle.net/10255/dryad. 235.
32. Zianis D, Muukkonen P, Mäkipää R & Mencuccini M. 2005. Biomass and Stem Volume Equations for Tree Species in Europe. Silva Fennica Monographs No. 4. The Finnish Society of Forest Science and the Finnish Forest Research Institute, Vantaa.