Spectral remote sensing reveals forest structural characteristics resilient to spruce budworm infestations

• Spectral indexes derived from Landsat can capture forest resilience to infestations. • Pre-disturbance forest structure modulates resilience to spruce budworm infestations. • Infestation impact is lower in shorter, sparser, and lower basal area stands. • Recover is faster in greenness, followed by structure and vegetation water content. • Resilience quantification can be operationalized to inform management strategies. Forests are increasingly influence by natural disturbance, which are intensifying under climate change, threatening the sustainability of natural resources. Resilience is a central component in these dynamics, defined as the ability of forests to recover from a disturbance and return to a pre-disturbed state. Recent conceptual frameworks describe resilience as a combination of disturbance impact and recovery rate offering a more unified and quantitative approach. However, these frameworks often do not consider how forest characteristics and their spatio-temporal variability shape resilience outcomes. In this study, we leveraged three decades of Landsat time series data to quantify forest resilience to spruce budworm (SBW) infestations, a major defoliator of fir and spruce forests in Quebec, Canada. We applied a two-stage clustering analysis to investigate how pre-disturbance forest structures, including canopy height, cover, basal area, cumulative defoliation severity, and age influence resilience. Resilience was quantified via impact and recovery rate of three key spectral indexes: Green Normalized Vegetation Index (GNDVI, greenness), Moisture Stress Index (MSI, vegetation water content), and Normalized Burn Ratio (NBR, structural characteristics) following the 2006 outbreak. Our results revealed that stands with lower basal area, sparser, and shorter canopies were more resilience to SBW over time. Greenness recovered most rapidly, followed by structural development and vegetation water content. Ultimately, stands showed greater resilient in greenness and structural development than vegetation water content throughout the infestation. These findings advance empirical understanding of forest resilience and can inform management strategies to maintain and enhance Canada’s boreal forest resilience to increasing SBW pressure.

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Publication Details

Journal
Ecological Indicators
Published
2025-11-08
DOI
https://doi.org/10.1016/j.ecolind.2025.114382
Citations
1
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
1.11
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article

Spectral remote sensing reveals forest structural characteristics resilient to spruce budworm infestations

Alexis Achim, Sarah E. Gergel, Nicholas C. Coops, Tommaso Trotto
1 citations
Ecological Indicators
Fire effects on ecosystems
1.11
article

Spectral remote sensing reveals forest structural characteristics resilient to spruce budworm infestations

Alexis Achim, Sarah E. Gergel, Nicholas C. Coops, Tommaso Trotto
article en
1 citations

Abstract

• Spectral indexes derived from Landsat can capture forest resilience to infestations. • Pre-disturbance forest structure modulates resilience to spruce budworm infestations. • Infestation impact is lower in shorter, sparser, and lower basal area stands. • Recover is faster in greenness, followed by structure and vegetation water content. • Resilience quantification can be operationalized to inform management strategies. Forests are increasingly influence by natural disturbance, which are intensifying under climate change, threatening the sustainability of natural resources. Resilience is a central component in these dynamics, defined as the ability of forests to recover from a disturbance and return to a pre-disturbed state. Recent conceptual frameworks describe resilience as a combination of disturbance impact and recovery rate offering a more unified and quantitative approach. However, these frameworks often do not consider how forest characteristics and their spatio-temporal variability shape resilience outcomes. In this study, we leveraged three decades of Landsat time series data to quantify forest resilience to spruce budworm (SBW) infestations, a major defoliator of fir and spruce forests in Quebec, Canada. We applied a two-stage clustering analysis to investigate how pre-disturbance forest structures, including canopy height, cover, basal area, cumulative defoliation severity, and age influence resilience. Resilience was quantified via impact and recovery rate of three key spectral indexes: Green Normalized Vegetation Index (GNDVI, greenness), Moisture Stress Index (MSI, vegetation water content), and Normalized Burn Ratio (NBR, structural characteristics) following the 2006 outbreak. Our results revealed that stands with lower basal area, sparser, and shorter canopies were more resilience to SBW over time. Greenness recovered most rapidly, followed by structural development and vegetation water content. Ultimately, stands showed greater resilient in greenness and structural development than vegetation water content throughout the infestation. These findings advance empirical understanding of forest resilience and can inform management strategies to maintain and enhance Canada’s boreal forest resilience to increasing SBW pressure.

Ecological IndicatorsVol. 181
University of British Columbia (CA), Université Laval (CA)
Openalex Percentile: Top 18%
Fire effects on ecosystems
1.11
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