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Risk monitoring of pine wilt disease based on semi-dynamic spatial prediction in South Korea

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  • Yoon, Sunhee
  • Jung, Jae-Min
  • Kim, Donghyeon
  • Hwang, Jinhyeong
  • Park, Yuri
  • Lee, Wang-Hee

Abstract

Pine wilt disease (PWD), caused by Bursaphelenchus xylophilus, is the deadliest disease affecting pine trees, and causes severe economic and ecological damage in South Korea. Therefore, monitoring PWD is a national campaign necessary for timely control of the disease.

Suggested Citation

  • Yoon, Sunhee & Jung, Jae-Min & Kim, Donghyeon & Hwang, Jinhyeong & Park, Yuri & Lee, Wang-Hee, 2025. "Risk monitoring of pine wilt disease based on semi-dynamic spatial prediction in South Korea," Agricultural Systems, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:agisys:v:224:y:2025:i:c:s0308521x24004037
    DOI: 10.1016/j.agsy.2024.104253
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    References listed on IDEAS

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    1. Halvorsen, Rune & Mazzoni, Sabrina & Dirksen, John Wirkola & Næsset, Erik & Gobakken, Terje & Ohlson, Mikael, 2016. "How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?," Ecological Modelling, Elsevier, vol. 328(C), pages 108-118.
    2. Christelle Robinet & Alain Roques & Hongyang Pan & Guofei Fang & Jianren Ye & Yanzhuo Zhang & Jianghua Sun, 2009. "Role of Human-Mediated Dispersal in the Spread of the Pinewood Nematode in China," PLOS ONE, Public Library of Science, vol. 4(2), pages 1-10, February.
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