Onur ALKAN

@isparta.edu.tr

Faculty of Forestry
ISPARTA UNIVERSITY OF APPLIED SCIENCES



                 

https://researchid.co/onuralkan

RESEARCH, TEACHING, or OTHER INTERESTS

Forestry, Plant Science, Soil Science

4

Scopus Publications

42

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Stem Profile Patterns of Pinus nigra and Pinus sylvestris Growing in Mixed Stands
    Ramazan Özçelik, Krishna P Poudel, Felipe Crecente-Campo, Bora Kaya, and Onur Alkan

    Oxford University Press (OUP)
    Abstract Taper equations provide one of the most successful approaches of calculating tree volume to specified top diameters from standing tree measurements. This study assessed the stem profile patterns of Black pine (Pinus nigra Arnold.) and Scots pine (Pinus sylvestris L.) trees growing in mixed stands in northwestern Türkiye using a segmented polynomial taper equation. Models were fitted with the continuous second-order autoregressive structure to correct for the autocorrelation. The models fit the data well, describing more than 99%, 98%, and 97% of variation in diameter, merchantable volume, and total stem volume, respectively. However, the prediction errors were slightly larger for black pine than for Scots pine. Results also revealed that the model coefficients for these species were significantly different. Models developed in this study should provide more accurate upper stem diameter and volume estimates when the objective is to estimate such attributes for black pine and Scots pine growing in the mixed stands. Study Implications: Estimates of total and merchantable tree volume in a stand are essential for forest management and planning. Taper models are one of the most accurate approaches to estimating upper stem diameters and volume to any merchantability limit. There has been an increasing interest in managing mixed-species stands but limited work has been done on taper equations for trees growing in mixed stands. This study assessed the stem profile patterns of black pine and Scots pine trees growing in mixed-species stands in northwestern Türkiye. As has been reported for pure stands, species-specific taper equations were more accurate upper stem diameter and volume estimations in mixed-species stands. The developed taper models should play an important role in planning and inventorying mixed Black pine and Scots pine stands in Türkiye.

  • Artificial intelligence as an alternative modelling strategy for reliable height-diameter predictions of mixed-oaks species
    MARIA J. DIAMANTOPOULOU, RAMAZAN ÖZÇELİK, BURAK KOPARAN, and ONUR ALKAN

    The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS


  • Fitting and calibrating a mixed-effects segmented taper model for brutian pine
    Ramazan Özçelik and Onur Alkan

    FapUNIFESP (SciELO)
    Taper models are one of several necessary tools in modern forest inventory, giving information on diameter at any point along the tree stem and this information can also be used to estimate stem volume. In this study, we used nonlinear mixed-effects (NLME) modeling approach to minimize existing statistical problems in constructing taper equations. A segmented taper model of Max and Burkhart (1976) was fitted using this approach to consider for withinand between-tree variation in brutian pine (Pinus brutia Ten.) stem taper. Based on evaluation statistics, the model including random-effects parameters β1, β3 and β4 were found to be the best. Inclusion of random parameters were not completely eliminated heterogenous variance and autocorrelation in residuals. Incorporating variance function and a continuous autoregressive error structure (CAR(1)) to NLME Max and Burkhart model removed the heteroscedasticity and autocorrelation in residuals. Upper stem diameters were used to localized stem taper model to individual tree. For this, two different measurement scenarios were evaluated as one and two upper stem diameter measurements. Inclusion of random parameters were improved the predictive capability of taper model in particularly the middle and lower sections of stem based on upper stem diameter measurements. The calibration using upper stem diameter measurements can improve the tree-level accuracy of stem taper model is therefore recommended. 1Isparta University of Applied Sciences, Faculty of Forestry, 32260, Isparta, Turkey, ORCID: 0000-0003-2132-2589a, 0000-0001-5798-3421b

RECENT SCHOLAR PUBLICATIONS

  • Almus yresi doğal doğu kayını meşcerelerinin ap dağılımının Weibull dağılımı ile modellenmesi
    O ALKAN, R OZELİK, Ş KALKANLI
    Turkish Journal of Forestry 24 (3), 197-207 2023

  • Stem Profile Patterns of Pinus nigra and Pinus sylvestris Growing in Mixed Stands
    R zelik, KP Poudel, F Crecente-Campo, B Kaya, O Alkan
    Forest Science 69 (6), 610-618 2023

  • Kızılam (Pinus brutia Ten.) meşcerelerinde uygulanan ilk aralama alışmalarının değerlendirilmesi: Stler rneği
    E BAYAR, O ALKAN
    Turkish Journal of Forestry 24 (1), 11-17 2023

  • Modeling diameter distribution of natural oriental beech stands in the Almus region using the Weibull distribution
    Ş Kalkanlı, R Ozelik, O Alkan
    Turkish Journal of Forestry 24 (3), 197-207 2023

  • Artificial intelligence as an alternative modelling strategy for reliable height-diameter predictions of mixed-oaks species
    MJ Diamantopoulou, R zelik, B Koparan, O Alkan
    Turkish Journal of Agriculture and Forestry 47 (2), 228-241 2023

  • Eğirdir yresi doğal karaam meşcereleri iin ap-boy modeli: Kantil regresyon yaklaşımı
    O ALKAN, R ZELİK
    Turkish Journal of Forestry 23 (3), 187-195 2022

  • Antalya-Gebiz Yresi Kızılam Meşcereleri iin Uyumlu Gvde Hacmi ve Gvde apı Modelleri
    M TURGUT, R ZELİK, O ALKAN
    Bartın Orman Fakltesi Dergisi 24 (2), 289-303 2022

  • Compatible stem volume and stem diameter equations for Brutian pine stands in Antalya-Gebiz region.
    M Turgut, R zelik, O Alkan
    2022

  • Height-diameter model for natural black pine stands in Eğirdir region: Quantile regression approach
    O Alkan, R Ozelik
    2022

  • Estimating the tree bole volume of Brutian pine (Pinus brutia Ten.) and Taurus cedar (Cedrus libani A. Rich.) using paracone and centroid methods in Turkey
    R ZELİK, O ALKAN
    Journal of Biometry Studies 1 (2), 45-48 2021

  • Toros gknarı iin uyumlu hacim ve gvde apı modelleri
    O ALKAN, R OZELİK
    Turkish Journal of Forestry 22 (4), 408-416 2021

  • Development of trunk diameter model with quantile regression.
    R Ozelik, O Alkan, Ş Kalkanli
    2021

  • Compatible stem volume and taper equations for Cilicica fir
    O Alkan, R Ozelik
    2021

  • Development of stem diameter model using quantile regression
    R Ozelik, Ş Kalkanlı, O Alkan
    2021

  • Fitting and calibrating a mixed-effects segmented taper model for Brutian pine
    R zelik, O Alkan
    Cerne 26, 464-473 2020

  • Stem taper equations for diameter and volume predictions of Abies cilicica Carr. in the Taurus Mountains, Turkey
    O Alkan, R zelik
    Journal of Mountain Science 17 (12), 3054-3069 2020

  • Toros sediri iin gvde apı modelinin tahmin performansını iyileştirmek iin meşcere sıklığının kullanılması
    R ZELİK, O ALKAN
    Turkish Journal of Forestry 21 (2), 113-122 2020

  • Use of stand density to improve prediction performance of stem taper model for Taurus cedar
    R zelik, O Alkan
    Turkish Journal of Forestry 2 (21), 113 - 122 2020

  • Editorial board/Dergi yayın kurulu
    R zelik, AA Babalık, A Deligz, E Bayar, G Gler, H Alkan, HT Lehtijarvi, ...
    2020

  • Development of regional stem taper models for some important tree species of Turkey: Case study of Bucak
    O Alkan, R zelik, H Alkan
    Turkish Journal of Forestry 20 (4), 333-340 2019

MOST CITED SCHOLAR PUBLICATIONS

  • Mapping forest stand structural diversity using Rapideye satellite data
    I Ozdemir, K Ozkan, A Mert, UY Ozkan, O Senturk, O Alkan
    Recuperado de Recuperado de http://congrexprojects. com/docs/12c04_docs2 2012
    Citations: 13

  • Stem taper equations for diameter and volume predictions of Abies cilicica Carr. in the Taurus Mountains, Turkey
    O Alkan, R zelik
    Journal of Mountain Science 17 (12), 3054-3069 2020
    Citations: 7

  • Toros gknarı iin uyumlu hacim ve gvde apı modelleri
    O ALKAN, R OZELİK
    Turkish Journal of Forestry 22 (4), 408-416 2021
    Citations: 4

  • Toros Gknarı (Abies cilicica carr.) meşcereleri iin gvde apı, ap-boy, ap dağılım ve bonitet endeks modellerinin geliştirilmesi
    O Alkan
    Lisansst Eğitim Enstits 2019
    Citations: 4

  • Fitting and calibrating a mixed-effects segmented taper model for Brutian pine
    R zelik, O Alkan
    Cerne 26, 464-473 2020
    Citations: 3

  • Meşcere bazlı orman envanterinde optimal rnekleme tasarımı; Sinop-Ayancık orman işletme şefliğinde bir uygulama alışması
    O Alkan
    Sleyman Demirel niversitesi Fen Bilimleri Enstits 2013
    Citations: 3

  • Artificial intelligence as an alternative modelling strategy for reliable height-diameter predictions of mixed-oaks species
    MJ Diamantopoulou, R zelik, B Koparan, O Alkan
    Turkish Journal of Agriculture and Forestry 47 (2), 228-241 2023
    Citations: 2

  • Trkiye’nin bazı nemli ağa trleri iin yresel gvde apı modellerinin geliştirilmesi: Bucak rneği
    O ALKAN, R OZELİK, H ALKAN
    Turkish Journal of Forestry 20 (4), 333-340 2019
    Citations: 2

  • Almus yresi doğal doğu kayını meşcerelerinin ap dağılımının Weibull dağılımı ile modellenmesi
    O ALKAN, R OZELİK, Ş KALKANLI
    Turkish Journal of Forestry 24 (3), 197-207 2023
    Citations: 1

  • Stem Profile Patterns of Pinus nigra and Pinus sylvestris Growing in Mixed Stands
    R zelik, KP Poudel, F Crecente-Campo, B Kaya, O Alkan
    Forest Science 69 (6), 610-618 2023
    Citations: 1

  • Development of regional stem taper models for some important tree species of Turkey: Case study of Bucak
    O Alkan, R zelik, H Alkan
    Turkish Journal of Forestry 20 (4), 333-340 2019
    Citations: 1

  • Dikili ağaların hacim tahmini iin bazı metotların karşılaştırılması
    R ZELİK, H ALKAN, O ALKAN
    Turkish Journal of Forestry 19 (4), 380-385 2018
    Citations: 1