Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management
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 mode...
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doaj-5d04716b408b436c9669adf259049ef62020-11-25T00:09:36ZengMDPI AGForests1999-49072017-12-0181247710.3390/f8120477f8120477Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and ManagementMehmet Eker0Krishna P. Poudel1Ramazan Özçelik2Forest Engineering Department, Faculty of Forestry, Süleyman Demirel University, 32260 Isparta, TurkeyDepartment of Forest Engineering, Resources, and Management, Oregon State University, Corvallis, OR 97333, USAForest Engineering Department, Faculty of Forestry, Süleyman Demirel University, 32260 Isparta, TurkeyBrutian 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.https://www.mdpi.com/1999-4907/8/12/477biomass equationsbeta regressionmultinomial logistic regressionDirichlet regressionsmall trees |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mehmet Eker Krishna P. Poudel Ramazan Özçelik |
spellingShingle |
Mehmet Eker Krishna P. Poudel Ramazan Özçelik Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management Forests biomass equations beta regression multinomial logistic regression Dirichlet regression small trees |
author_facet |
Mehmet Eker Krishna P. Poudel Ramazan Özçelik |
author_sort |
Mehmet Eker |
title |
Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management |
title_short |
Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management |
title_full |
Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management |
title_fullStr |
Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management |
title_full_unstemmed |
Aboveground Biomass Equations for Small Trees of Brutian Pine in Turkey to Facilitate Harvesting and Management |
title_sort |
aboveground biomass equations for small trees of brutian pine in turkey to facilitate harvesting and management |
publisher |
MDPI AG |
series |
Forests |
issn |
1999-4907 |
publishDate |
2017-12-01 |
description |
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. |
topic |
biomass equations beta regression multinomial logistic regression Dirichlet regression small trees |
url |
https://www.mdpi.com/1999-4907/8/12/477 |
work_keys_str_mv |
AT mehmeteker abovegroundbiomassequationsforsmalltreesofbrutianpineinturkeytofacilitateharvestingandmanagement AT krishnappoudel abovegroundbiomassequationsforsmalltreesofbrutianpineinturkeytofacilitateharvestingandmanagement AT ramazanozcelik abovegroundbiomassequationsforsmalltreesofbrutianpineinturkeytofacilitateharvestingandmanagement |
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1725411022606434304 |