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Dynamic site index models sensitive to ecoregional variability for Scots pine stands in Western Black Sea Region of Türkiye       
Yazarlar
Dr. Öğr. Üyesi Fadime SAĞLAM
Kastamonu Üniversitesi, Türkiye
Doç. Dr. Oytun Emre SAKICI
Kastamonu Üniversitesi, Türkiye
Özet
Site productivity, defined as the production amount of the stand at a specific age, has a significant impact on the growth of the stand and site index is used as an indicator of site productivity. The objective of this study is to develop ecoregion-based dynamic site index models for Scots pine (Pinus sylvestris L.) stands in the Kastamonu and Sinop regions of Türkiye. The mixed-effects modeling approach allowing for the inclusion of ecoregions in the models was used to develop dynamic site index models, and the models derived from seven base models were tested. The best model was selected based on statistical criteria. As a result of statistical analyses and graphical examinations, the King-Prodan model was found to yield the best predictive results in terms of growth patterns. The site index model based on the King-Prodan method produced a coefficient of determination (R2) of 0.977. The statistical criteria for this model are as follows: Akaike information criterion (AIC) of 4931.052, Bayesian information criterion (BIC) of 4968.933, root mean square error (RMSE) of 1.218, and mean error (ME) of − 0.036. The F-test was used to test whether there was a statistically significant difference in dominant heights between ecoregions. The results demonstrated that the dominant heights exhibited statistically significant differences among the ecoregions. Consequently, it is of paramount importance to utilize ecoregion-based dynamic site index models in order to achieve reliable and accurate predictions.
Anahtar Kelimeler
Dominant height | Ecoregions | Height growth | Mixed-effects modeling | Pinus sylvestris L
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Environmental Monitoring and Assessment
Dergi ISSN 0167-6369
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q3
Makale Dili İngilizce
Basım Tarihi 10-2024
Cilt No 196
Sayı 11
Sayfalar 196 / 1037
Doi Numarası 10.1007/s10661-024-13189-7
Makale Linki http://dx.doi.org/10.1007/s10661-024-13189-7