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Analysis of Occurrence Characteristics of Pine Wilt Disease in Korea based on Monitoring Data from 2016 to 2018

국내 소나무재선충병 발생 특성 분석: 2016~2018년 예찰데이터를 기반으로

  • Sim, Sang Taek (Forest Protection Bureau, Korea Forest Service) ;
  • Lee, Seong-Hee (Forest Geographic Information Division, Korea Forestry Promotion Institute) ;
  • Lee, Cha Young (Forest Insect Pests & Diseases Division, National Institute of Forest Science) ;
  • Nam, Youngwoo (Forest Insect Pests & Diseases Division, National Institute of Forest Science)
  • 심상택 (산림청 산림보호국) ;
  • 이성희 (한국임업진흥원 산림공간정보실) ;
  • 이차영 (국립산림과학원 산림병해충연구과) ;
  • 남영우 (국립산림과학원 산림병해충연구과)
  • Received : 2020.12.17
  • Accepted : 2021.03.30
  • Published : 2021.06.30

Abstract

Understanding the occurrence characteristics of pine wilt disease (PWD) is essential for determining a suitable strategy to minimize the damage caused by PWD. Thus, in this study, we characterized various environmental conditions, including meteorological factors, geographical factors, and artificial factors influencing the occurrence of PWD. The occurrence data of PWD from May 2016 to April 2018 and spatial data of various environmental factors, including natural and anthropogenic factors, were collected. We evaluated the relative contribution of the environmental variables on the number of dead pine trees by PWD. In this study, among the 17 natural and anthropogenic factors, the factors affecting the occurrence of dead trees by PWD were verified. The results showed that altitude and temperature from May to August, among natural factors, and distance to building and forest road among anthropogenic factors were the most influential factors on the occurrence of PWD.

소나무재선충병의 발생 특성을 이해하는 것은 소나무재선충병의 피해 및 확산을 최소화하기 위한 방제전략 수립을 위해 필수적이다. 따라서 본 연구에서는 기상 요인, 지리적 요인, 그리고 인위적 요인과 같은 환경 조건과 소나무재선충병 발생과의 관계를 분석하였다. 2016년 5월부터 2018년 4월까지 소나무재선충병 발생 자료와 자연적, 인위적 요인들을 포함한 다양한 환경 조건의 공간 자료들을 수집하였고, 소나무재선충병에 의한 고사목 발생 본 수에 대한 환경 변수들의 상대적 기여도를 평가하였다. 총 17개의 자연적 요인과 인위적 요인 중에서 소나무재선충병 발생에 영향을 미치는 요인들을 확인한 결과 자연적 요인은 고도와 5~8월 기온이, 인위적 요인은 도로와 건물과의 거리가 소나무재선충병 감염고사목 발생본수와 밀접하게 연관이 있는 것으로 나타났다.

Keywords

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