Growth and yield models for uneven-aged forest stands managed under a selection system in northern Iran

Yıl 2019, Cilt: 7 Sayı: 3, 321 - 333, 29.10.2019

Siavash Kalbi , Asghar Fallah Shaban Shataee Pete Bettinger Rassoul Yousefpour

https://doi.org/10.31195/ejejfs.569197

Cited By: 4

Öz

Predicting future forest growth and yield is a key
element of sustainable forest management. Hyrcanian forests are the most
valuable forests in the north of Iran, and industrial harvesting occurs only in
this area of the country. While uneven-aged Hyrcanian forests are one of the most important vegetated
areas, and the only commercial forests in Iran, there is a lack of growth and
yield models for management and planning purposes. The aim of this study is to develop distance-independent
individual tree growth and yield models for uneven-aged forests in northern
Iran managed under selection systems.A distance-independent diameter growth
model, a static height model, an ingrowth model, and a survival model for
uneven-aged stands of Fagus orientalis
Lipsky were developed using measurements from Sangdeh, within the Mazandaran
providence in Iran. The models are based on 130 permanent sample plots
established in 2009 and remeasured in 2014. For modeling diameter and height
growth, we employed mixed effect regression. For modeling survival, we used
binary logistic regression analysis. Ingrowth was modeled using multilinear
regression. Results showed the best growth and yield model had relative RMSE
and bias values, respectively, that were 31.9% and 6.3% for the diameter growth
model, 11.3% and 0.17% for the height model, and 22% and 0.14% for the ingrowth
model. Wald tests and other model evolution parameters showed that the
parameter estimates for tree mortality were statistically significant. Overall
results indicated that growth and yield model performance was consistent with
expectations, and that the general fit to the validation data was acceptable

Anahtar Kelimeler

Individual-tree model, mixed effect regression, diameter and height growth, tree mortality

Destekleyen Kurum

this study has no supported

Kaynakça

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