Abstract
• Context
Biomass prediction is important when dealing for instance with carbon sequestration, wildfire modeling, or bioenergy supply. Although allometric models based on destructive sampling provide accurate estimates, alternative species-specific equations often yield considerably different biomass predictions. An important source of intra-specific variability remains unexplained.
• Aims
The aims of the study were to inspect and assess intra-specific differences in aboveground biomass of Pinus brutia Ten. and to fill the gap in knowledge on biomass prediction for this species.
• Methods
Two hundred one trees between 2.3 and 55.8 cm in diameter at breast height were sampled throughout the eastern- and southernmost natural distribution area of P. brutia, in Middle East, where it forms different stand structures. Allometric equations were fitted separately for two countries. The differences in biomass prediction at tree, stand, and forest level were analyzed. The effect of stand structure and past forest management was discussed.
• Results
Between-country differences in total aboveground biomass were not large. However, differences in biomass stock were large when tree components were analyzed separately. Trees had higher stem biomass and lower crown biomass in dense even-aged stands than in more uneven-aged and sparse stands.
• Conclusion
Biomass and carbon predictions could be improved by taking into account stand structure in biomass models.
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References
António N, Tomé M, Tomé J, Soares P, Fontes L (2007) Effect of tree, stand and site variables on the allometry of Eucalyptus globulus tree biomass. Can J For Res 37:895–906
Balderas Torres A, Lovett JC (2012) Using basal area to estimate aboveground carbon stocks in forests: La Primavera Biosphere’s Reserve, Mexico. Forestry 86:267–281
Baskerville GL (1972) Use of logarithmic regression in the estimation of plant biomass. Can J For Res 2:49–53
Bilgili E, Kucuk O (2009) Estimating above-ground fuel biomass in young calabrian pine (Pinus brutia Ten.). Energy Fuel 23:1797–1800
Bragg DC, Guldin JM (2010) Estimating long-term carbon sequestration patterns in even- and uneven-aged southern pine stands. In: Jain TB, Graham RT, Sandquist J (eds) Integrated management of carbon sequestration and biomass utilization opportunities in a changing climate: Proceedings of the 2009 National Silviculture Workshop; 2009 June 15–18; Boise, ID. Proceedings RMRS-P-61. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, pp 111–123
Bravo F, Bravo-Oviedo A, Diaz-Balteiro B (2008) Carbon sequestration in Spanish Mediterranean forests under two management alternatives: a modeling approach. Eur J For Res 127:225–234
Burrows WH, Henry BK, Back PV, Hoffmann MB, Tait LJ, Anderson ER, Menke N, Danaher T, Carter JO, McKeon GM (2002) Growth and carbon stock change in eucalypt woodlands in northeast Australia: ecological and greenhouse sink implications. Glob Chang Biol 8:769–784
Chave 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
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 B 359:409–420
Crow TR (1978) Common regressions to estimate tree biomass in tropical stands. For Sci 24:110–114
de-Miguel S, Mehtätalo L, Shater Z, Kraid B, Pukkala T (2012a) Evaluating marginal and conditional predictions of taper models in the absence of calibration data. Can J For Res 42:1383–1394
de-Miguel S, Pukkala T, Assaf N, Bonet JA (2012b) Even-aged or uneven-aged modelling approach? A case for Pinus brutia. Ann For Sci 69:455–465
de-Miguel S, Pukkala T, Shater Z, Assaf N, Kraid B, Palahí M (2010) Models for simulating the development of even-aged Pinus brutia stands in Middle East. Forest Syst 19:449–457
del Río M, Barbeito I, Bravo-Oviedo A, Calama R, Cañellas I, Herrero C, Bravo F (2008) Carbon sequestration in Mediterranean pines forests. In: Bravo F, LeMay V, Jandl R, von Gadow K (eds) Managing forest ecosystems: the challenge of climate change. Springer, Berlin, pp 221–246, 338 p
Durkaya A, Durkaya B, Ünsal A (2009) Predicting the above-ground biomass of calabrian pine (Pinus brutia Ten.) stands in Turkey. Afr J Biotechnol 8:2483–2488
Enquist BJ, Niklas KJ (2001) Invariant scaling relations across tree-dominated communities. Nature 410:655–660
Feldpausch TR, Banin L, Phillips OL, Baker TR, Lewis SL, Quesada CA, Affum-Baffoe K, Arets EJMM, Berry NJ, Bird M, Brondizio ES, de Camargo P, Chave J, Djagbletey G, Domingues TF, Drescher M, Fearnside PM, França MB, Fyllas NM, Lopez-Gonzalez G, Hladik A, Higuchi N, Hunter MO, Iida Y, Salim KA, Kassim AR, Keller M, Kemp J, King DA, Lovett JC, Marimon BS, Marimon-Junior BH, Lenza E, Marshall AR, Metcalfe DJ, Mitchard ETA, Moran EF, Nelson BW, Nilus R, Nogueira EM, Palace M, Patiño S, Peh KSH, Raventos MT, Reitsma JM, Saiz G, Schrodt F, Sonké B, Taedoumg HE, Tan S, White L, Wöll H, Lloyd J (2011) Height–diameter allometry for tropical forest trees. Biogeosciences 8:1081–1106
Gauch HG, Hwang JTG, Fick GW (2003) Model evaluation by comparison of model-based predictions and measured values. Agron J 95:1442–1446
Gray KL, Reinhardt ED (2003) Analysis of Algorithms for predicting canopy fuel. In: Proceedings of the Second International Wildland Fire Ecology and Fire Management Congress and Fifth Symposium on Fire and Forest Meteorology, November 16–20, 2003, Orlando, FL. American Meteorological Society, p 5.8
Guller B (2007) The effects of thinning treatments on density, MOE, MOR and maximum crushing strength of Pinus brutia Ten. wood. Ann For Sci 64:467–475
Hasenauer H, Monserud RA (1996) A crown ratio model for Austrian forests. For Ecol Manage 84:49–60
Hemery GE, Savill PS, Pryor SN (2005) Applications of the crown diameter-stem diameter relationship for different species of broadleaved trees. For Ecol Manage 215:285–294
Henry M, Picard N, Trotta C, Manlay RJ, Valentini R, Bernoux M, Saint-André L (2011) Estimating tree biomass of Sub-Saharan African forests: a review of available allometric equations. Silva Fenn 45:477–569
Hynynen J (1995) Predicting tree crown ratio for unthinned and thinned Scots pine stands. Can J For Res 25:57–62
Intergovernmental Panel on Climate Change (IPCC) (2006) IPCC guidelines for national greenhouse gas inventories, prepared by the National Greenhouse Gas Inventories Programme, Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K (eds). IGES, Japan
Isik F, Isik K, Lee SJ (1999) Genetic variation in Pinus brutia Ten. in Turkey: I. growth, biomass and stem quality traits. For Genet 6:89–99
Jenkins JC, Chojnacky DC, Heath LS, Birdsey RA (2003) National-scale biomass estimators for United States tree species. For Sci 49:12–35
Ketterings QM, Coe R, van Noordwijk M, Ambagau Y, Palm CA (2001) Reducing uncertainty in the use of allometric biomass equations for predicting aboveground tree biomass in mixed secondary forests. For Ecol Manage 146:199–209
Kuuluvainen T (1991) Relationships between crown projected area and components of above-ground biomass in Norway spruce trees in even-aged stands: empirical results and their interpretation. For Ecol Manage 40:243–260
Küçük Ö, Bilgili E (2007) Crown fuel load for young calabrian pine (Pinus brutia Ten.) trees. J For Fac Kastamonu Uni-Kastamonu 7:180–189
Küçük Ö, Bilgili E, Saglam B (2008) Estimating crown fuel loading for Calabrian pine and Anatolian black pine. Int J Wildland Fire 17:147–154
Marklund LG (1987) Biomass functions for Norway spruce (Picea abies (L.) Karst.) in Sweden. Sveriges lantbruksuniversitet Rapporter–Skog 43:1–127
Marklund LG (1988) Biomassafunktioner för tall, gran och björk i Sverige. Sveriges lantbruksuniversitet Rapporter–Skog 45:1–73
Montero G, Ruiz-Peinado R, Muñóz M (2005) Producción de biomasa y fijación de CO2 por los bosques españoles. Monografías INIA nO 13
Muukkonen P (2007) Generalized allometric volume and biomass equations for some tree species in Europe. Eur J For Res 126:157–166
Mäkelä A (1986) Implications of the pipe model theory on dry matter partitioning and height growth in trees. J Theor Biol 123:103–120
Naidu SL, DeLucia EH, Thomas RB (1998) Contrasting patterns of biomass allocation in dominant and suppressed loblolly pine. Can J For Res 28:1116–1124
Návar J (2009) Allometric equations for tree species and carbon stocks for forests of northwestern Mexico. For Ecol Manage 257:427–434
Návar J (2010) Measurement and assessment methods of forest aboveground biomass: a literature review and the challenges ahead. In: Momba M, Bux F (eds) Biomass. Sciyo, Croatia, pp 27–64
Palahí M, Pukkala T, Kasimiadis D, Poirazidis K, Papageorgiou AC (2008) Modelling site quality and individual-tree growth in pure and mixed Pinus brutia stands in north-east Greece. Ann For Sci 65:501
Palumets YK (1988) Distribution of Norway spruce phytomass fractions as a function of age and climatic factors. Soviet Forest Sci 2:34–40
Parresol BR (2001) Additivity of non-linear biomass equations. Can J For Res 31:865–878
Peichl M, Arain MA (2007) Allometry and partitioning of above- and belowground tree biomass in an age-sequence of white pine forests. For Ecol Manage 253:68–80
Porté A, Trichet P, Bert D, Loustau D (2002) Allometric relationships fro branch and tree woody biomass of maritime pine (Pinus pinaster Ait.). For Ecol Manage 158:71–83
Pukkala T, Karsikko J, Kolström T (1992) A spatial model for the diameter of thickest branch of Scots pine. Silva Fenn 26:219–230
Pukkala T, Lähde E, Laiho O, Salo K, Hotanen JP (2011) A multifunctional comparison of even-aged and uneven-aged forest management in a boreal region. Can J For Res 41:851–862
R Development Core Team (2011) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0. http://www.R-project.org/
Repola J (2009) Biomass equations for Scots pine and Norway spruce in Finland. Silva Fenn 43:625–647
Shater Z, de-Miguel S, Kraid B, Pukkala T, Palahí M (2011) A growth and yield model for even-aged Pinus brutia stands in Syria. Ann For Sci 68:149–157
Snowdon P, Eamus D, Gibbons P, Khanna PK, Keith H, Raison RJ, Kirschbaum MUF (2000) Synthesis of allometrics, review of root biomass and design of future woody biomass sampling strategies. National Carbon Accounting System Technical Report 17. Australian Greenhouse Office, Canberra, 114 p
Ter-Mikaelian MT, Korzukhin MD (1997) Biomass equations for sixty-five North American tree species. For Ecol Manage 97:1–24
Tinker D, Stakes GK, Arcano RM (2010) Allometric equation development, biomass, and aboveground productivity in Ponderosa pine forests, Black Hills, Wyoming. West J Appl For 25:112–119
van Breugel M, Ransijn J, Craven D, Bongers F, Hall JS (2011) Estimating carbon stock in secondary forests: decisions and uncertainties associated with allometric biomass models. For Ecol Manage 262:1648–1657
West GB, Brown JH, Enquist BJ (1999) A general model for the structure and allometry of plant vascular systems. Nature 400:664–667
Zianis D, Mencuccini M (2004) On simplifying allometric analyses of forest biomass. For Ecol Manage 187:311–332
Zianis D, Muukkonen P, Mäkipää R, Mencuccini M (2005) Biomass and stem volume equations for tree species in Europe. Silva Fenn Monographs 4, 63 p
Zianis D, Xanthopoulos G, Kalabodikis K, Kazakis G, Ghosn D, Roussou O (2011) Allometric equations for aboveground biomass estimation by size class for Pinus brutia Ten. trees growing in North and South Aegean Islands, Greece. Eur J For Res 130:145–160
Acknowledgments
Data collection was supported by Agencia Española de Cooperación Internacional para el Desarrollo (AECID) and Fundación Biodiversidad. The authors wish to thank the Ministries of Agriculture of the Governments of Lebanon and Syria as well as the Forest Sciences Centre of Catalonia (CTFC) for their precious collaboration.
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Handling Editor: Shuqing Zhao
Contribution of the co-authors
Sergio de Miguel: sampling design, data analysis, writing, research project coordination.
Timo Pukkala: sampling design, data analysis, writing, scientific supervision.
Nabil Assaf: sampling design, data collection, field work supervision.
Zuheir Shater: sampling design, data collection, field work supervision.
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de-Miguel, S., Pukkala, T., Assaf, N. et al. Intra-specific differences in allometric equations for aboveground biomass of eastern Mediterranean Pinus brutia . Annals of Forest Science 71, 101–112 (2014). https://doi.org/10.1007/s13595-013-0334-4
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DOI: https://doi.org/10.1007/s13595-013-0334-4