Abstract
Brutian pine (Pinus brutia Ten.) is the most widespread conifer species in the Eastern Mediterranean. Aboveground biomass equations for small diameter brutian pine trees are needed for accurate fuel inventory and to assess carbon sequestration potential. In this study, we developed tree biomass models based on 143 brutian pine saplings measured in 11 research plots. Aboveground biomass (AGB) was modeled with a nonlinear mixed effects model which accounted for the variability among plots. The predicted total AGB was then distributed into foliage, branch and stem components. The Beta, Dirichlet, and multinomial logistic regressions were unbiased in their estimates of biomass component proportions. The Dirichlet regression has the advantage of an additive property and does not require non-standard data.
Highlights
Brutian pine is the most important tree species in Turkey, both ecologically and economically.Brutian pine forests cover about 25% of Turkey’s total forest area which is about 5.6 million hectares with a current standing volume of approximately 270 million m3 [1]
The relationship between Aboveground biomass (AGB) and dendrometric variables such as diameter at breast height (DBH) and height varies by stands or plots
The mixed effects model was appropriate in our study because it addressed the hierarchical nature of the data by incorporating plot level variation in the model
Summary
Brutian pine is the most important tree species in Turkey, both ecologically and economically.Brutian pine forests cover about 25% of Turkey’s total forest area which is about 5.6 million hectares with a current standing volume of approximately 270 million m3 [1]. Brutian pine is the most important tree species in Turkey, both ecologically and economically. Brutian pine plays a key role in providing important benefits and environmental services such as protection of soil and water resources, conservation of biological diversity, and climate change mitigation and adaptation in Turkey [3]. Detailed information about stand structure, total biomass, or biomass of different tree components is needed for sustainable forest management and harvesting of utilizable potential of the brutian pine forest. Accurate estimation of tree or forest biomass is a key requirement for calculating biomass energy, carbon sequestration, as well as for studying climate change, forest health, site productivity, and nutrient cycling [4]. The increasing use of weight or biomass as a measure of forest productivity with ever changing market conditions has heightened the need for accurate estimates of total and component biomass of trees
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