Abstract
Context
The scaling-up approach (which requires the use of individual tree biomass equations and data) is one of the most commonly used methods for estimating stand biomass at a local scale. However, biomass prediction over large management areas requires more efficient methods.
Aims
Two methods of estimating aboveground stand biomass were developed and compared: stand biomass equations (SBE) including observed stand variables, and SBE including biomass expansion factors (BEF) and stand volume.
Methods
Two types of systems of additive equations were fitted simultaneously for components and total aboveground stand biomass, to ensure additivity. Inherent correlations among biomass components were also taken into account in the fitting process.
Results
The systems explained a high percentage of the observed variability. The SBE systems that included observed stand variables provided more accurate estimates than those that included BEF and stand volume. However, the latter were found to be more precise for stem wood and total aboveground biomass prediction.
Conclusions
Both approaches provide a direct link between forest inventory data, outputs from whole-stand growth models, and biomass estimates at stand level. Taking into account that the inventory effort is similar for both alternatives, the choice of which to use will depend on the data available and on the relative importance of the biomass components for the end-users.
Similar content being viewed by others
References
Albaugh TJ, Bergh J, Lundmark T, Nilsson U, Luiz Stape J, Allen HE, Linder S (2009) Do biological expansion factors adequately estimate stand-scale aboveground component biomass for Norway spruce? For Ecol Manage 258:2628–2637
Antonio N, Tomé M, Tomé J, Soares P, Fontes L (2007) Effect of tree, stand, and site variables on the allometry of E. globulus tree biomass. Can J For Res 37:895–906
Balboa-Murias M, Rodríguez Soalleiro R, Merino A, Álvarez González JG (2006) Temporal variations and distribution of carbon stocks in aboveground biomass of radiata pine and maritime pine pure stands under different silvicultural alternatives. For Ecol Manage 237:29–38
Bi H, Birk E, Turner J, Lambert M, Jurskis V (2001) Converting stem volume to biomass with additivity, bias corrections and confidence bands for two Australian tree species. N Z J For Sci 31:298–319
Bi H, Turner J, Lambert M (2004) Additive biomass equations for native eucalypt forest trees of temperate Australia. Trees 18:467–479
Bi H, Long Y, Turner J, Lei Y, Snowdon P, Li Y, Harper R, Zerihun A, Ximenes F (2010) Additive prediction of aboveground biomass for P. radiata (D. Don) plantations. For Ecol Manage 12:2301–2314
Brooks JR, Wiant HV (2004) A simple technique for estimating cubic volume yields. For Ecol Manage 203:373–380
Chave J, Condit R, Aguilar S, Hernandez A, Lao S, Perez R (2004) Error propagation and scaling for tropical forest biomass estimates. Phil Trans R Soc Lond 359:409–420
Crecente-Campo F, Tomé M, Soares P, Diéguez-Aranda U (2010) A generalized nonlinear mixed-effects height–diameter model for E. globulus L. in northwestern Spain. For Ecol Manage 259:943–952
Diéguez-Aranda U, Rojo Alboreca A, Castedo-Dorado F, Álvarez González JG, Barrio-Anta M, Crecente-Campo F, González González JM, Pérez-Cruzado C, Rodríguez Soalleiro R, López-Sánchez CA, Balboa-Murias MA, Gorgoso Varela JJ, Sánchez Rodríguez F (2009) Herramientas selvícolas para la gestión forestal sostenible en Galicia. Dirección Xeral de Montes, Consellaría do Medio Rural, Xunta de Galicia, Santiago de Compostela. http://www.usc.es/uxfs/Libros,44. Accessed 20 Oct 2011
Faias SP, Paulo J, Soares P, Patrício MS, Freire JP, Tomé M (2009) Modelling biomass expansion factors for the most important forest tree species in Portugal. Dissertation, pp. 18–38, Universidade Técnica de Lisboa
Gómez-García E (2011) Modelos dinámicos de crecimiento para rodales regulares de B. pubescens Ehrh. y Q. robur L. en Galicia. Ph.D. Thesis, Universidade de Santiago de Compostela
Greene WH (1999) Econometric analysis, 4th edn. Prentice Hall, Upper Saddle River
Husch B, Beers TW, Kershaw JA (2003) Forest mensuration, 4th edn. Wiley, New York
IPCC (2003) Good practice guidance for land use, land-use change and forestry. Institute for Global Environmental Strategies (IGES), Hayama
IPCC (2006) IPCC Guidelines for National Greenhouse Gas Inventories. Prepared by the National Greenhouse Gas Inventories Programme. In: Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K (eds) IGES, Japan. http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html. Accessed 29 Feb 2011
Jalkanen A, Mäkipää R, Ståhl G, Lehtonen A, Petersson H (2005) Estimation of the biomass stock of trees in Sweden: comparison of biomass equations and age-dependent biomass expansion factors. Ann For Sci 62:84–851
Jenkins JC, Chojnacky DC, Heath LS, Birdseyn R (2003) National-scale biomass estimators for United States tree species. For Sci 49:12–35
Kozak A, Kozak R (2003) Does cross validation provide additional information in the evaluation of regression models? Can J For Res 33:976–987
Lehtonen A, Mäkipää R, Heikkinenb J, Sievänena R, Liskic J (2004) Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests. For Ecol Manage 188:211–224
Levy E, Hale SE, Nicoll BC (2004) Biomass expansion factors and root: shoot ratios for coniferous tree species in Great Britain. Forestry 77:421–430
Madgwick HAI, Oliver GR (1985) Dry matter content and production of close-spaced P. radiata. N Z J For Sci 15:135–141
Monserud RA, Onuchin AA, Tchebakova NM (1996) Needle, crown, stem, and root phytomass of P. sylvestris stands in Russia. For Ecol Manage 82:59–67
Montero G, Ruiz-Peinado R, Muñoz M (2005) Producción de biomasa y fijación de CO2 por los bosques españoles. Monografías INIA: Forestales nº 13, Madrid
Myers RH (1990) Classical and modern regression with applications, 2nd edn. PWS-Kent, Boston
Parresol BR (1999) Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci 45:573–593
Parresol BR (2001) Additivity of nonlinear biomass equations. Can J For Res 31:865–878
Sabaté S, Gracia C, Vayreda J, Ibáñez J (2005) Differences among species in aboveground biomass expansion factors in Mediterranean forests. In: Mäkipää R, et al. (eds). Effective exploitation of existing information related to BEF ensured and gaps of knowledge on BEFs of different tree species by regions identified and reported. CarboInvent. Final report for Deliverable 2.2. Document No. WP2-D2.2-Metla
SAS Institute Inc (2008) SAS/ETS® 9.2 User’s Guide. SAS Institute Inc, Cary
Shaiek O, Loustau D, Trichet P, Meredieu C, Bachtobji B, Garchi S, Hédi EL, Aouni M (2011) Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments. Ann For Sci 68:443–452
Snowdon P (1992) Ratio methods for estimating forest biomass. N Z J For Sci 22:54–62
Soares P, Tomé M (2004) Analysis of the effectiveness of biomass expansion factors to estimate stand biomass. In: Hasenauer H, Makela A (eds.) Modeling forest production. Proceedings of the International Conference, Vienna, pp 368–374
Somogyi Z, Cienciala E, Mäkipää R, Muukkonen P, Lehtonen A, Weiss P (2007) Indirect methods of large-scale forest biomass estimation. Eur J For Res 126:197–207
UN-ECE/FAO (2000) Forest resources of Europe, CIS, North America, Australia, Japan and New Zealand (industrialized temperate/boreal countries), UN-ECE/FAO Contribution to the Global Forest Resources Assessment 2000, Main Report United Nations, New York
Vanclay JK, Skovsgaard JP (1997) Evaluating forest growth models. Ecol Model 98:1–12
Wang J, Zhang C, Xia F, Zhao X, Wu L, Kv G (2011) Biomass structure and allometry of Abies nephrolepis (Maxim) in Northeast China. Silva Fenn 45:211–226
Wirth C, Schumacher J, Schulze ED (2004) Generic biomass functions for Norway spruce in central—a meta-analysis approach toward prediction and uncertainty estimation. Tree Physiol 24:121–139
Yang Y, Monserud RA, Huang S (2004) An evaluation of diagnostic tests and their roles in validating forest biometric models. Can J For Res 34:619–629
Acknowledgment
Funding for this research was provided by the Spanish Ministry of Science and Education, project No AGL2007-66739-C02-01/FOR, and by the Spanish Ministry of Science and Innovation, project No AGL2008-02259/FOR. Part of this research was developed during a research stay at the University of León, funded by the Galician Government and cofounded with FSE founds.
Author information
Authors and Affiliations
Corresponding author
Additional information
Handling Editor: Matthias Dobbertin
Contribution of the co-authors
Fernando Castedo-Dorado and Felipe Crecente-Campo analyzed the data and wrote the manuscript. Esteban Gómez-García, and Marcos Barrio-Anta provided part of the experimental data and the individual-tree biomass equations used and revised the text. Ulises Diéguez-Aranda provided technical assistance in model fitting and supervised the writing of the manuscript.
Rights and permissions
About this article
Cite this article
Castedo-Dorado, F., Gómez-García, E., Diéguez-Aranda, U. et al. Aboveground stand-level biomass estimation: a comparison of two methods for major forest species in northwest Spain. Annals of Forest Science 69, 735–746 (2012). https://doi.org/10.1007/s13595-012-0191-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13595-012-0191-6