A four‐tier warning framework for pine wilt disease: integrating species distribution models and smart sensing approaches

This four-tier framework provides a feasible solution for stand-level early warning of PWD. By minimizing interference from non-PWD stressors, it improves detection accuracy while lowering labor and financial costs. Its integration of multiple frontier technologies offers an innovative, scalable tool for forest health monitoring in high-risk areas. © 2025 Society of Chemical Industry.

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Publication Details

Journal
Pest Management Science
Published
2025-10-20
DOI
https://doi.org/10.1002/ps.70314
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A four‐tier warning framework for pine wilt disease: integrating species distribution models and smart sensing approaches

Haojie Bi, T. Li, Shixiang Zong, Xueqiang Xin et al.
Pest Management Science
Forest Insect Ecology and Management
article

A four‐tier warning framework for pine wilt disease: integrating species distribution models and smart sensing approaches

Haojie Bi, T. Li, Shixiang Zong, Xueqiang Xin, W Liu, Linyuan Li
article en

Abstract

This four-tier framework provides a feasible solution for stand-level early warning of PWD. By minimizing interference from non-PWD stressors, it improves detection accuracy while lowering labor and financial costs. Its integration of multiple frontier technologies offers an innovative, scalable tool for forest health monitoring in high-risk areas. © 2025 Society of Chemical Industry.

Pest Management ScienceVol. 82(2)
Beijing Forestry University (CN)
Openalex Percentile: Top 71%
Forest Insect Ecology and Management
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