Biomass Equations and Carbon Content of Young Black Locust (Robinia pseudoacacia L.) Trees from Plantations and Coppices on Sandy Soils in South-Western Romanian Plain (original) (raw)

Abstract

The aim of the paper was to develop biomass equations for young black locust trees from plantations and coppices established in South-West Romania. A destructive method was used to develop allometric biomass equations and to assess the carbon content of the individual tree and its biomass components. 418 black locust young trees (1-4 years old) from 27 plots established in plantations and coppices growing on sandy soils in Dolj and Olt counties were sampled. Simple linear regression models were developed for biomass estimation. The results shown that root collar diameter was the most accurate biomass predictor, whilst intercept and slope values were similar to those identified in other recent studies. The specific carbon content (mean values) was 45% for roots and 48% for leaves, similar to the values provided by Intergovernmental Panel for Climate Change.

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References (11)

  1. Basuki TM, van Laake PE, Skidmore A.K, Hussin YA (2009). Allometric equations for estimating the above-ground bio- mass in tropical lowland Dipterocarp forests. Forest Ecology and Management 257:1684-1694.
  2. Blujdea V, Pilli R, Dutca I, Ciuvat L, Abrudan IV (2012). Al- lometric biomass equations for young broadleaved trees in plantations in Romania. Forest Ecology and Management 264:172-184.
  3. Böhm C, Quinkenstein A, Freese D (2011). Yield prediction of young black locust (Robinia pseudoacacia L.) plantations for woody biomass production using allometric relations. Ann For Res 54(2):215-227.
  4. Edu E M, Mihalache M, Ionescu M (2013). Determination of organic carbon in forest soils by comparative analysis of method: Walkley Black method with the Gogoasa modifi- cation versus Dry combustion Dumars method. Research Journal of Agricultural Science 45(1):13-19.
  5. IPCC (2006). Guidelines for national greenhouse gas invento- ries. Prepared by the National Greenhouse Gas Inventories Programme, edited by H.S. Eggleston, L. Buendi, K. Miwa, T. Ngara and K. Tanabe.Kanagawa: Intergovernmental Pan- el on Climate Change, Institute for Global Environmental Strategies.
  6. Olofsson P, Kuemmerle T, Griffiths P, Knorn J, Baccini A, Gancz V, Blujdea V, Houghton RA, Abrudan IV, Woodcock CE (2011). Carbon Implications of Forest Restitution in Post-Socialist Romania. Environmental Research Letters 6(4):10 p.
  7. Pienaru A, Iancu P, Căzănescu S (2009). Desertification and its effects on environment and agricultural production in Ro- mania. Annals of Food Science and Technology 10(2):624- 629. Parresol BR (1999). Assessing tree and stand biomass: A re- view with examples and critical comparisons. Forest Science 45(4):573-593.
  8. Picard N, Saint-André L, Henry M (2012). Manual for build- ing tree volume and biomass allometric equations: from field measurement to prediction. FAO, Rome and Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier, 215 pp.
  9. Pilli R, Anfodillo T, Carrer M (2006). Towards a functional and simplified allometry for estimating forest biomass. Forest Ecology and Management 237:583-593.
  10. R Core Team (2013). R: A language and environment for sta- tistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org.
  11. Sprugel DG (1983). Correcting for bias in log-transformed al- lometric equations. Ecology 64:208-210.