Export

Link to this page

Please use this URL for citations.

Search Other Services

Statistics

  • Access to this page：3,354 times

＜departmental bulletin paper＞
Modelling the Probability of Japanese Red Pine Mortality After a Forest Fire in Korea

Creator
Creator Name
Lee, Si-Young
Affiliation
Affiliation Name
Division of the Professional Graduate School of Disasters Prevention Technology, Kangwon National University
Creator Name
Chae, Hee-Mun
Affiliation
Affiliation Name
Korea Climate Change Countermeasure Research Center
Creator Name
Park, Gwan-Soo
Affiliation
Affiliation Name
Department of Environment and Forest Resources, Chungnam National University
Author PID
K001681
Creator Name
Ohga, Shoji
大賀, 祥治
Affiliation
Affiliation Name
Laboratory of Forest Resources Management, Division of Forest Ecosphere Management, Department of Forest and Forest Products Sciences, Kyushu University
九州大学大学院農学研究院森林資源科学部門森林生態圏管理学講座森林生産制御学研究室
Language
English
Publisher
Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院
Date
2010-02-26
Source Title
Journal of the Faculty of Agriculture, Kyushu University
Vol
55
Issue
1
First Page
1
Last Page
6
Publication Type
Version of Record
Access Rights
open access
Crossref DOI
https://doi.org/10.5109/17792
Related DOI
Journal of the Faculty of Agriculture, Kyushu University || 55(1) || p1-6
九州大学大学院農学研究院紀要 || 55(1) || p1-6
http://www.agr.kyushu-u.ac.jp/
Related URI
Journal of the Faculty of Agriculture, Kyushu University || 55(1) || p1-6
九州大学大学院農学研究院紀要 || 55(1) || p1-6
http://www.agr.kyushu-u.ac.jp/
Relation
Journal of the Faculty of Agriculture, Kyushu University || 55(1) || p1-6
九州大学大学院農学研究院紀要 || 55(1) || p1-6
http://www.agr.kyushu-u.ac.jp/

Hide fulltext details.

pdf 55_1_p1 pdf 1.01 MB 487  

Details

PISSN
0023-6152
NCID
AA00697606
Record ID
17792
Peer-Reviewed
Unrefereed
ISSN
0023-6152
NCID
AA00697606
Notes
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.
Created Date 2010.07.03
Modified Date 2023.11.27

People who viewed this item also viewed