Infestation Patterns and Climate-Based Projections for European Spongy Moth (Lymantria dispar) in Whirlpool Forest, Ontario, Canada

This study investigates spongy moth (<i>Lymantria dispar</i>) infestation patterns in Whirlpool Forest, Ontario, offering a region-specific perspective while largely corroborating existing findings. We analyzed egg mass distribution across 43 sampling plots, relating it to tree characteristics. Results revealed a preference for red oak species, with significant egg-laying above one meter. Positive correlations were found between tree diameter and egg mass quantity (<i>ρ</i> = 0.458, <i>p</i> < 0.001 above 1 m; <i>ρ</i> = 0.218, <i>p</i> = 0.006 below 1 m). Tree health was significantly associated with egg mass presence (<i>χ<sup>2</sup></i> = 6.08, <i>p</i> = 0.014). A climate-based regression model (<i>R<sup>2</sup></i> = 0.714, <i>p</i> < 0.05) projected substantial increases in outbreak area by 2100, with the most severe scenario predicting 9,927,378.49 hectares at risk. Sensitivity analysis showed a 1 °C temperature increase could expand the outbreak area by 814,100 hectares. These findings underscore complex infestation dynamics, challenging simplified models and emphasizing the need for tailored, adaptive forest management strategies in response to changing environmental conditions and pest behaviors.

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Publication Details

Journal
Biology
Published
2025-10-28
DOI
https://doi.org/10.3390/biology14111506
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Infestation Patterns and Climate-Based Projections for European Spongy Moth (Lymantria dispar) in Whirlpool Forest, Ontario, Canada

Xiaolong Guo, Qianqian Wang
Biology
Forest Insect Ecology and Management
article

Infestation Patterns and Climate-Based Projections for European Spongy Moth (Lymantria dispar) in Whirlpool Forest, Ontario, Canada

Xiaolong Guo, Qianqian Wang
article en

Abstract

This study investigates spongy moth (<i>Lymantria dispar</i>) infestation patterns in Whirlpool Forest, Ontario, offering a region-specific perspective while largely corroborating existing findings. We analyzed egg mass distribution across 43 sampling plots, relating it to tree characteristics. Results revealed a preference for red oak species, with significant egg-laying above one meter. Positive correlations were found between tree diameter and egg mass quantity (<i>ρ</i> = 0.458, <i>p</i> < 0.001 above 1 m; <i>ρ</i> = 0.218, <i>p</i> = 0.006 below 1 m). Tree health was significantly associated with egg mass presence (<i>χ<sup>2</sup></i> = 6.08, <i>p</i> = 0.014). A climate-based regression model (<i>R<sup>2</sup></i> = 0.714, <i>p</i> < 0.05) projected substantial increases in outbreak area by 2100, with the most severe scenario predicting 9,927,378.49 hectares at risk. Sensitivity analysis showed a 1 °C temperature increase could expand the outbreak area by 814,100 hectares. These findings underscore complex infestation dynamics, challenging simplified models and emphasizing the need for tailored, adaptive forest management strategies in response to changing environmental conditions and pest behaviors.

BiologyVol. 14(11)
St. Francis Xavier University (CA), Chengdu Research Base of Giant Panda Breeding (CN)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 70%
Forest Insect Ecology and Management
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