Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey

Author:

Özçelik Ramazan,Cao Quang V.,Trincado Guillermo,Göçer Nilsun

Funder

U.S. Department of Agriculture

National Institute of Food and Agriculture

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference50 articles.

1. Atalay, İ., Sezer, İ., Çukur, H., 1998. Kızılçam (Pinus brutia Ten.) ormanlarının ekolojik özellikleri ve tohum nakli açısından bölgelere ayrılması. Orman Bakanlığı Orman Ağaçları ve Tohumları Islah Araştırma Müdürlüğü (Turkish).

2. Prediction of tree diameter growth using quantile regression and mixed-effects models;Bohora;For. Ecol. Manage.,2014

3. Silvicultural characteristics and natural regeneration of Pinus brutia Ten.—a review;Boydak;Plant Ecol.,2004

4. A model for simulation or planted loblolly pine stands;Burkhart,1974

5. Interregional nonlinear height diameter model with random coefficients for stone pine in Spain;Calama;Can. J. For. Res.,2004

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