Next Article in Journal
A Linkage among Tree Diameter, Height, Crown Base Height, and Crown Width 4-Variate Distribution and Their Growth Models: A 4-Variate Diffusion Process Approach
Next Article in Special Issue
Suitability of Soil Erosion Models for the Evaluation of Bladed Skid Trail BMPs in the Southern Appalachians
Previous Article in Journal
Forest Planning Heuristics—Current Recommendations and Research Opportunities for s-Metaheuristics
Previous Article in Special Issue
Characteristics of Logging Businesses across Virginia’s Diverse Physiographic Regions
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Forests 2017, 8(12), 477; https://doi.org/10.3390/f8120477

Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management

1
Forest Engineering Department, Faculty of Forestry, Süleyman Demirel University, 32260 Isparta, Turkey
2
Department of Forest Engineering, Resources, and Management, Oregon State University, Corvallis, OR 97333, USA
*
Author to whom correspondence should be addressed.
Received: 12 October 2017 / Revised: 28 November 2017 / Accepted: 30 November 2017 / Published: 3 December 2017
(This article belongs to the Special Issue Forest Operations, Engineering and Management)
Full-Text   |   PDF [2031 KB, uploaded 6 December 2017]   |  

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. View Full-Text
Keywords: biomass equations; beta regression; multinomial logistic regression; Dirichlet regression; small trees biomass equations; beta regression; multinomial logistic regression; Dirichlet regression; small trees
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Eker, M.; Poudel, K.P.; Özçelik, R. Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management. Forests 2017, 8, 477.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top