Intra-specific differences in allometric equations for aboveground biomass of eastern Mediterranean Pinus brutia

• 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 biom...

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Veröffentlicht in:Annals of forest science. 2014, Vol.71 (1), p.101-112
Hauptverfasser: de-Miguel, Sergio, Pukkala, Timo, Assaf, Nabil, Shater, Zuheir
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Sprache:eng
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Zusammenfassung:• 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.
ISSN:1286-4560
1297-966X
DOI:10.1007/s13595-013-0334-4