Natural Spread Pattern of Damaged Area by Pine Wilt Disease Using Geostatistical Analysis

Min-Ho Son, Woo-Kyun Lee1*, Seung-Ho Lee2, Hyun-Kook Cho2 and Jun-Hak Lee3

ABSTRACT : Recently, dispersion of damaged forest by pine wilt disease has been regarded as a serious social
issue. Damages by pine wilt disease have been spreaded by natural area expansion of the vectors in the
damaged area, while the national wide damage spread has induced by human-involved carrying infected trees
out of damaged area. In this study, damaged trees were detected and located on the digital map by aerial
photograph and terrestrial surveys. The spatial distribution pattern of damaged trees, and the relationship of
spatial distribution of damaged trees and some geomorphological factors were geostatistically analysed. Finally,
we maked natural spread pattern map of pine wilt disease using geostatistical CART( Classification and
Regression Trees) model. This study verified that geostatistical analysis and CART model are useful tools for
understanding spatial distribution and natural spread pattern of pine wilt diseases.

 

Key words: pine wilt disease. Bursaphelenchus xylophilus, spatial distribution, spread pattern, geostatistical approach, CART(Classification and Regression Trees)