Modelling the probability of Japanese red pine mortality after a forest fire in Korea

Si Young Lee; Hee Mun Chae; Gwan Soo Park; Shoji Ohga

Modelling the probability of Japanese red pine mortality after a forest fire in Korea

Si Young Lee, Hee Mun Chae, Gwan Soo Park, Shoji Ohga

University Forest

Research output: Contribution to journal › Article › peer-review

Abstract

We investigated Japanese red pine (Pinus densiflora Siebold et Zuccarini) mortality that resulted from a 17,097 ha forest fire that occurred in eastern Korea in April of 2000. We developed a logistic regression model that relates the probability of tree mortality to diameter at breast height (DBH) and height of stem blackening (HSB) and found the probability of tree mortality increased as the HSB increased and DBH decreased. We compare those results with stem mortality models developed for Scots pine (Pinus sylvestris L.) in Sweden and Eastern white pine (Pinus strobes, L.) in Canada and discuss the need for methodologies that can be used to develop comparable models.

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	Journal of the Faculty of Agriculture, Kyushu University
Volume	55
Issue number	1
Publication status	Published - Feb 1 2010

All Science Journal Classification (ASJC) codes

Biotechnology
Agronomy and Crop Science

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abstract = "We investigated Japanese red pine (Pinus densiflora Siebold et Zuccarini) mortality that resulted from a 17,097 ha forest fire that occurred in eastern Korea in April of 2000. We developed a logistic regression model that relates the probability of tree mortality to diameter at breast height (DBH) and height of stem blackening (HSB) and found the probability of tree mortality increased as the HSB increased and DBH decreased. We compare those results with stem mortality models developed for Scots pine (Pinus sylvestris L.) in Sweden and Eastern white pine (Pinus strobes, L.) in Canada and discuss the need for methodologies that can be used to develop comparable models.",

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AB - We investigated Japanese red pine (Pinus densiflora Siebold et Zuccarini) mortality that resulted from a 17,097 ha forest fire that occurred in eastern Korea in April of 2000. We developed a logistic regression model that relates the probability of tree mortality to diameter at breast height (DBH) and height of stem blackening (HSB) and found the probability of tree mortality increased as the HSB increased and DBH decreased. We compare those results with stem mortality models developed for Scots pine (Pinus sylvestris L.) in Sweden and Eastern white pine (Pinus strobes, L.) in Canada and discuss the need for methodologies that can be used to develop comparable models.

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