Skip to main content

Advertisement

Log in

Allometric models for estimation of aboveground carbon stocks in improved fallows in eastern Zambia

  • Published:
Agroforestry Systems Aims and scope Submit manuscript

Abstract

This paper presents allometric functions for estimation of C stocks in aboveground tree biomass in 2-year-old improved fallows in eastern Zambia. A total of 222 individual trees representing 12 tree species were destructively harvested for C analysis by LECO CHN-1000 analyzer. Allometric models relating collar diameter (D10) and total tree height (H) to stem and total aboveground C stocks were developed using data from tree fallows. Logarithmically transformed power functions displayed a good ability to stabilize variance of aboveground C stocks and showed a good fit (84 < R 2 < 99) with a bias of 0.7–3.6%. D10 alone and in combination with H explained most of the variability in total aboveground C stocks. Validation of the species-specific and generalized models with field data indicated that they accurately predicted aboveground tree C stocks. Generalized C estimation functions were also validated and described 73–97% of variability in aboveground C stocks with an average unsigned deviation of 1.5–4.9%. The C functions will serve as a vital tool for predicting and monitoring C pool sizes in long-term studies and agroforestry projects, especially where destructive sampling is not possible.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Barrios E, Kwesiga F, Buresh RJ, Sprent JI (1997) Light fraction soil organic matter and available nitrogen following trees and maize. Soil Sci Soc Am J 61:826–831

    CAS  Google Scholar 

  • Beaucamp JJ, Olson JS (1973) Correction of bias in regression estimates after logarithmic transformation. Ecology 54:1403–1407

    Article  Google Scholar 

  • Briand CH, Daniel AD, Wilson KA, Woods HE (1998) Allometry of axis, length, diameter and taper of Devil’s walking stick (Aria spinosa Aralaceae). Am J Bot 85(9):1201–1206

    Article  Google Scholar 

  • Brown S (1997) Estimating biomass and biomass change of tropical forests: a primer. FAO Forestry Paper, 134, Rome Italy

  • Brown JH, Gillooly JH, Allen AP, Savage VM, West GB (2004) Toward a metabolic theory of ecology. Ecology 85:1771–1789

    Article  Google Scholar 

  • Burrows WH, Hoffmann MB, Crompton JF, Back PV, Tait LJ (2000) Allometric relationships and community estimates for some dominant Eucalypts in central Queensland woodlands. Aust J Bot 48(6):707–714

    Article  Google Scholar 

  • Canadell J, Riba M, André P (1988) Biomass functions of Quercus ilex L. in the Montseny Massif, Northeastern Spain. Forestry 16(2):137–147

    Article  Google Scholar 

  • Celis F, Milimo JT, Wanmali S (1991) Adopting improved technology: a study of smallholder farmers in eastern Zambia. International Food policy Research Institute, Washington

    Google Scholar 

  • Chen TH, Sheu BH, Chang CT (1998) Accumulation of stand biomass and nutrient contents of Casuarina plantations in Suhu coastal area. Taiwan J For Sci 13(4):335–349

    Google Scholar 

  • Cienciala E, Apltauer J, Cerny M, Exnerova Z (2005) Biomass functions applicable for European beech. J For Sci 51(4):147–154

    Google Scholar 

  • Claesson S, Sahlen K, Lundmark T (2001) Functions for biomass estimation of young Pinus sylvestris, Picea abies and Betula spp. From stands in Northern Sweden with high stand densities. Scand J For 16:138–146

    Article  Google Scholar 

  • Crow TR (1983) Comparing biomass by site and stand age for red maple. Can J For Res 13:283–288

    Article  Google Scholar 

  • Delitti WBC, Meguro M, Pausas JG (2006) Biomass and mineralmass estimates in a “cerrado” ecosystem. Revista Brasil Bot 29(4):531–540

    Google Scholar 

  • FAO (1997) Estimating biomass and biomass change of tropical forests: a primer. FAO, Forestry Paper N. 134, Rome

  • Gilmore DW (2001) Equations to describe crown allometry of Larix require local validation. For Ecol Manag 148:109–116

    Article  Google Scholar 

  • Grigal DF, Kernick LK (1984) Generality of black spruce biomass estimation equations. Can J For Res 14:468–470

    Article  Google Scholar 

  • Harrington G (1979) Estimating aboveground biomass of trees and shrubs in a Eucalyptus populnea F. Mull. Woodland by regression of mass on trunk diameter and plant height. Aust J Bot 27:135–143

    Article  Google Scholar 

  • IPCC (2003) Good practices guidance for land use, land-use change and forestry for global environmental strategies. IGES, ISBN 4-88788-003-0

  • IPCC (2006) Guidelines for national greenhouse gas inventories. IGES, ISBN 4-88788-032-4

  • IPCC (2007) Climate Change 2007: The physical science basis. Basic Summary for policy makers. http://ipcc-wg1.ucar.edu/docs/WG1AR4_SPM_PlenaryApproved.pdf

  • Jackson NA, Griffiths H, Zeron M (1995) Aboveground biomass of seedling and semi-mature Sesbania sesban, a multipurpose tree species, estimated using allometric regressions. Agrofor Syst 29:103–112

    Article  Google Scholar 

  • Kale M, Sing S, Roy PS, Desothali V, Ghole VS (2004) Biomass equations of dominant species of dry deciduous forests in Shivupuri district, Madhya Pradesh. Curr Sci 87(5):683–687

    Google Scholar 

  • Kaonga ML (2005) Understanding carbon dynamics in agroforestry systems in eastern Zambia. PhD Thesis, University of Cambridge, UK

  • Ketterings QM, Coe R, van Noordiwijk M, Ambagau Y, Plam CA (2001) Reducing uncertainty in the use of allometric equations for predicting aboveground biomass in mixed secondary forests. For Ecol Manag 146:199–209

    Article  Google Scholar 

  • Komiyama A, Poungparn S, Kato S (2005) Common allometric equations for estimating the tree weight of mangroves. J Trop Ecol 21:471–477

    Article  Google Scholar 

  • Kraenzel M, Castilla A, Potvin C (2003) Carbon storage of harvest age teak (Tectona grandis) plantations, Panama. For Ecol Manag 173:213–225

    Article  Google Scholar 

  • Kumar VSK, Tewari VP (1999) Aboveground biomass tables for Azadrachta indica a. Juss. Int For Rev 1(2):109–111

    Google Scholar 

  • Lin K, Ma F, Tang S (2001) Allometric equations for predicting aboveground biomass of tree species in Fushani forest. Taiwan J For Sci 16(3):143–151

    Google Scholar 

  • Litton CM, Kauffman JB (2008) Allometric models for predicting aboveground biomass in two widespread plants in Hawaii. Biotropica 40(3):313–320

    Article  Google Scholar 

  • Litton CM, Sandquist DR, Cordell S (2006) Effects of non-native grass invasion on aboveground carbon pools and tree population structure in a tropical forest of Hawaii. For Ecol Manag 231:105–113

    Article  Google Scholar 

  • Lott JE, Howard SB, Black CR, Ong CK (2000) Allometric estimation of above-ground biomass and leaf area in managed Grevillea robusta agroforestry systems. Agrofor Syst 49:1–15

    Article  Google Scholar 

  • Maraseni TN, Cockfield GAA, Mathers N (2005) Estimation of shrub biomass: development and evaluation of allometric models leading to innovative teaching methods. Intern J Bus Manag Edu. Special issue, ISSN 1832-0236, pp. 17–32

  • Montague KD, Duttmer K, Barton CVM, Cowie AC (2005) Developing general allometric relationships for regional estimates of carbon sequestration: an example using Eucalyptus piluralis from seven contrasting sites. For Ecol Manag 204:113–127

    Google Scholar 

  • Norris DN, Blair JM, Johnson LC, McKane RB (2001) Assessing changes in biomass, productivity, and carbon stores following Juniperus virgiana forest expansion into tallgrass prairie. Can J For Res 31:1940–1946

    Article  Google Scholar 

  • Ong JE, Gong WK, Wong CH (2004) Allometry and partitioning of the mangrove, Rhizophora apiculata. For Ecol Manag 188(1–3):395–408

    Article  Google Scholar 

  • Otieno K, Onim JFM, Bryant MJ, Dzowela BH (1991) The relation between biomass yield and linear measures of growth in Sesbania sesban in western Kenya. Agrofor Syst 13:131–141

    Article  Google Scholar 

  • Payandeh B (1981) Choosing regression models for biomass prediction equations. For Chron 22:9–232

    Google Scholar 

  • Rutter AJ (1955) The relationship between dry weight increase and linear measures of growth in young conifers. Forestry 28:125–135

    Article  Google Scholar 

  • Saatchi SS, Houghton A, Dos Santos Alvala RC, Soare JV, Yu Y (2007) Distribution of aboveground biomass in the Amazon. Global Change Biol 13:816–837

    Google Scholar 

  • Saglan B, Kucuki O, Bilgili E, Durmaz D, Basal I (2008) Estimating fuel biomass of some shrub species (Maquis) in Turkey. Turk J Agric 32:349–356

    Google Scholar 

  • Saint-André L, M’bou Mabiala A, Mouvondy W, Jourdan C, Roupsard A, Deleporte P, Hamel O, Nouvellon Y (2005) Age-related equations for above- and below-aground biomass of Eucalyptus hybrid in Congo. For Ecol Manag 205:199–214

    Article  Google Scholar 

  • Senelwa K, Sims REH (1998) Tree biomass equations for short rotation Eucalyptus grown in New Zealand. Biomass Bioenergy 13:133–140

    Article  Google Scholar 

  • Specht A, West PW (2003) Estimation of sequestered carbon on farm forest plantation in northern New South Wales, Australia. Biomass Bioenergy 25:363–379

    Article  Google Scholar 

  • Sprugel DG (1983) Correcting bias in log-transformed allometric equations. Ecology 64:209–210

    Article  Google Scholar 

  • Stromgaard P (1985) Biomass, growth and burning of woodland in a shifting cultivation area of south central Africa. For Ecol Manag 12:163–178

    Article  Google Scholar 

  • Terakupisut J, Gajaseni N, Ruankawe N (2007) Carbon sequestration potential in aboveground biomass of Thong Pha Phum National Forest, Thailand. Appl Ecol Environ Res 5(2):93–102

    Google Scholar 

  • Tritton LM, Hornbeck JW (1982) Biomass equations for major tree species of northeast US Forest Serv Gen Tech Rep NE-69

  • van Noordwijk M, Mulia R (2002) Functional branch analysis as a tool for fractal scaling above- and belowground trees for their additive and non-additive properties. Ecol Model 149:41–51

    Article  Google Scholar 

  • Van TK, Rayachhetry MB, Centre D (2000) Estimating aboveground biomass of Melaleuca quinquenenervia in Florida, USA. J Aqua Plant Manag 38:62–67

    Google Scholar 

  • Wadham-Gagnon B, Sharpe D (2006) Estimating carbon stocks in tropical hardwood plantations: using species-specific and non-destructive parameters to estimate aboveground biomass for six native species in Panama. Internship Report, Smithsonian Trop Res Inst ENVR 451

  • Williams CJ, Lepage BA, Vann DR, Tange T, Ikeba H, Ando M (2003) Structure, allometry, of plantation Metasoquoia glyptostroboides in Japan. For Ecol Manag 180(1–3):287–301

    Article  Google Scholar 

  • Zar ZH (1996) Biostatistical analysis. Prentice Hall, Upper Saddle River 662 pp

    Google Scholar 

  • Zianis D, Mencuccini M (2004) On simplifying allometric analyses of forest biomass. For Ecol Manag 187:311–332

    Article  Google Scholar 

Download references

Acknowledgments

Authors thank staff of the World Agroforestry Centre (ICRAF) and staff of the Zambia/ICRAF Agroforestry Project, especially Dr. P. L. Mafongoya, for their professional and logistical support during the field studies. We are equally indebted to Dr. G. Sileshi of SADC-ICRAF Programme in Malawi for reviewing the paper, and the Gates Cambridge Trust at Cambridge University for funding the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin L. Kaonga.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kaonga, M.L., Bayliss-Smith, T.P. Allometric models for estimation of aboveground carbon stocks in improved fallows in eastern Zambia. Agroforest Syst 78, 217–232 (2010). https://doi.org/10.1007/s10457-009-9253-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10457-009-9253-7

Keywords

Navigation