Abstract
While a large sum of timber stock in private forests, especially broadleaved forests, has been ignored by their owners, a rising global concern about climate change and ecosystems has led to a renewed interest in natural broadleaved forest management strategies. This study establishes the forest growth model for the natural broadleaved forest of Gangwon-do based on the matrix model developed by Buongiorno and Michie. The matrix model by Buongiorno and Michie has been widely applied to study forest population dynamics, especially for uneven-aged forests. To develop an existing matrix model, our approach applies transitional probabilities of forest stands which are calibrated using National Forest Inventory data. Both long and short-term predicted simulation results show that the predicted average tree density and diameter distribution from our model are very close to the stand density and diameter distribution from observed data. Although the model simplifies reality, the results from our study confirm that our models are valid enough to predict the average stand status of the broadleaved forests in Gangwon-do.
Highlights
In Korea, about 64% of the total forestland is privately owned
To comply with current political and academic needs of describing forest dynamics of the private owned natural broadleaved forests in Ganwon-do, we adopt a matrix model developed by Buongiorno and Michie [10] using transition probabilities
We provide predicted simulation results and their statistical growth over the province using the matrix model based on transitional probabilities of forest stands
Summary
In Korea, about 64% of the total forestland is privately owned. The private forests fail to attract forest owners’ concern due to low productivity and small-scale ownership despite their large sum of accumulated timber stocks. To comply with current political and academic needs of describing forest dynamics of the private owned natural broadleaved forests in Ganwon-do, we adopt a matrix model developed by Buongiorno and Michie [10] using transition probabilities. This model was designed for uneven-aged forest management with a selection method. Some studies have attempted to incorporate this relation into the model by setting transition parameters as variable rather than fixed [19,23] It is not always necessary for the matrix growth modeling to incorporate state dependency [24] because the observed biological changes resulting from area competition could be too small to be statistically significant [20]. Calculate the transitional probabilities, we used data from the Korean national forest inventory (NFI)
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