Back to Results List

Export

Link to this page

Please use this URL for citations.

Search Other Services

Statistics

  • Access to this page：6,764 times

＜departmental bulletin paper＞
Predicting the Potential Impact of Climate Change on People–Caused Forest Fire Occurrence in South Korea

Creator
Creator Name
Lee, Si-Young
Affiliation
Affiliation Name
Division of the Professional Graduate School of Disasters Prevention Technology, Kangwon National University | Korea Climate Change Countermeasure Research Center
Creator Name
Chae, Hee Mun
Affiliation
Affiliation Name
| Korea Climate Change Countermeasure Research Center
Creator Name
Park, Gwan-Soo
Affiliation
Affiliation Name
Department of Forest Resources, Chungnam National University | Korea Climate Change Countermeasure Research Center
Author PID
K001681
Creator Name
Ohga, Shoji
大賀, 祥治
Affiliation
Affiliation Name
Laboratory of Forest Resources Management, Division of Forest Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University | Korea Climate Change Countermeasure Research Center
九州大学大学院農学研究院環境農学部門森林環境科学講座
Language
English
Publisher
Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院
Date
2012-02
Source Title
Journal of the Faculty of Agriculture, Kyushu University
Vol
57
Issue
1
First Page
17
Last Page
25
Publication Type
Version of Record
Access Rights
open access
Crossref DOI
https://doi.org/10.5109/22043
Related DOI
Journal of the Faculty of Agriculture, Kyushu University || 57(1) || p17-25
九州大学大学院農学研究院紀要 || 57(1) || p17-25
http://www.agr.kyushu-u.ac.jp/
Related URI
Journal of the Faculty of Agriculture, Kyushu University || 57(1) || p17-25
九州大学大学院農学研究院紀要 || 57(1) || p17-25
http://www.agr.kyushu-u.ac.jp/
Relation
Journal of the Faculty of Agriculture, Kyushu University || 57(1) || p17-25
九州大学大学院農学研究院紀要 || 57(1) || p17-25
http://www.agr.kyushu-u.ac.jp/

Hide fulltext details.

pdf p017 pdf None 856 KB 1,172  

Details

PISSN
0023-6152
NCID
AA00697606
Record ID
22043
Peer-Reviewed
Unrefereed
Subject Terms
forest fire
forest management
General Circulation Models
ISSN
0023-6152
NCID
AA00697606
Notes
We investigated the potential impact of climate change on people–caused forest fire occurrence in South Korea. Logistic regression analysis methods were used to develop daily fire occurrence prediction models for each of nine study areas. These models were then coupled with climate scenario data produced by two General Circulation Models (CCCma and CCSR/NIES) to predict future people–caused fire occurrence in those nine areas. Our results suggest the number of fire days will increase by roughly 7 to 58% depending upon the district. However, as the prediction of fire occurrence was varied by the land use, the vegetation, human activity, forest management policy and etc., more factors related this part should be need to research more with this study.
Created Date 2012.06.20
Modified Date 2022.11.11
Back to Results List