Eğirdir yöresi kızılçam meşcereleri için ağaç hacim denklemlerinin karşılaştırılması

Abstract

Bu çalışmada, Kızılçam (Pinus brutia Ten.) için ağaç hacim denklemleri geliştirilmiştir. Veriler, Eğirdir yöresi doğal kızılçam meşcerelerinden elde edilmiştir. 405 örnek ağaç ölçülmüş ve tesadüfi olarak iki gruba ayrılmıştır. Gerçek anlamda bağımsız veri setine sahip olunmadığı için çapraz geçerlilik testi uygulanarak, 18 modelin ortalama hata (MD), ortalama mutlak hata (MAD), belirtme katsayısı (R2) ve hata kareler ortalamasının karekökü (RMSE) değerleri hesaplanmıştır. Modellerin tahmin performansları, bu dört ölçüt değeri esas alınarak hesaplanan model nisbi sıralarına göre değerlendirilmiştir. Yapılan değerlendirmeler sonucunda, en başarılı sonuçlar Model 4 ile elde edilirken, en başarısız sonuçlar model 6 ile elde edilmiştir. Elde edilen sonuçlar, Eğirdir yöresi doğal kızılçam meşcerelerinde güvenilir hacim tahminleri için Model 4’ün kullanılmasını önermektedir.

Keywords

• Kızılçam,Hacim tahmini,Nonlinear models,Çap,Nisbi sıra

Comparison of tree volume equations for brutian pine stands in Eğirdir district

Abstract

In this study, tree volume equations have been developed for Brutian pine (Pinus brutia Ten.). The data was obtained from the natural brutian pine stands in Eğirdir region. Totally of 405 trees are sampled and randomly separated into the two groups. Since there is no real independent dataset, two-fold evaluation scheme was applied and the prediction performance of 18 models was evaluated. For this purpose, four different criteria values were used: mean error (MD), mean absolute error (MAD), coefficient of determination (R2) and root mean square error (RMSE). The prediction performances of the models were evaluated on the basis of relative ranking. As a result of the evaluations, the most successful results were obtained with Model 4, while the most unsuccessful results were obtained with model 6. The obtained results suggested that Model 4 should be used to more reliable volume predictions for natural brutian pine stands in Eğirdir Region

Keywords

• Brutian pine,Volume prediction,Nonlinear models,Diameter,Relative rank

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