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Determining the optimal time window to detect emerald ash borer damage for effective management
Quan Zhou1, Xudong Zhang1, Linfeng Yu1
1Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China.
Pest Management Science
|November 15, 2024
Summary
Detecting the emerald ash borer (EAB) is improved by timing field surveys from May to November and remote sensing from August to October. Optimal timing enhances EAB detection accuracy for effective forest management.
Area of Science:
- Forest entomology
- Invasive species management
- Remote sensing applications
Background:
- The emerald ash borer (EAB) is a significant invasive pest requiring effective large-scale monitoring.
- Traditional surveys are insufficient for widespread EAB detection.
- Ash tree phenological changes can hinder remote sensing detection of EAB.
Purpose of the Study:
- To determine the optimal time window for detecting EAB infestations.
- To compare detection windows for field surveys versus remote sensing techniques.
- To enhance the accuracy of EAB detection and management strategies.
Main Methods:
- Collected time-series data on Leaf Area Index (LAI), leaf size, and hyperspectral images of ash trees.
- Analyzed data throughout the growing season to identify EAB-induced changes.
- Utilized machine learning for classification accuracy assessment based on detection timing.
Main Results:
- Leaf Area Index and leaf size differences were observed between EAB-infested and healthy ash trees.
- Hyperspectral reflectance variations indicating EAB infestation became apparent from July onwards.
- Machine learning classification accuracy reached 100% after July, significantly higher than before July (88.57%).
Conclusions:
- Optimal monitoring timing significantly improves EAB detection accuracy.
- Recommended field survey period: May to November.
- Recommended remote sensing period: August to October, for efficient EAB management.
