New Gene-Based Method Detects Dying Forests Through Leaf Reflectance

Researchers at the University of Notre Dame discover a breakthrough in monitoring forest health using light reflection data and gene expression.

Feb. 7, 2026 at 5:47am

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A groundbreaking study from the University of Notre Dame has found a strong correlation between the way light reflects off leaves and the expression of specific genes within those leaves. This discovery offers a potential revolution in how we monitor and respond to threats facing our forests, particularly in wildfire-prone regions. The new technology allows for early detection of stressed trees, enabling timely intervention and treatment to reduce the risk of large-scale forest fires.

Why it matters

Traditionally, assessing the health of an entire forest has been a daunting task, with traditional sampling methods being too labor-intensive for large-scale surveys. This new gene-based detection method using leaf reflectance data provides a scalable solution, allowing researchers to monitor forests on a genomic scale and make more informed decisions about resource allocation and conservation efforts. The implications for wildfire prevention and proactive forest management are significant.

The details

The Notre Dame study, funded by NASA, reveals that spectral reflectance - the measurement of light reflected from leaf surfaces at specific wavelengths - corresponds with gene expression. This means the unique 'signature' of light reflected by a leaf can reveal its composition and condition. Researchers collected leaf samples from sugar maples and red maples, measuring reflectance data and analyzing genes related to water response, drought, photosynthesis, and plant-pest interactions. They found a strong correlation between reflectance wavelengths and gene expression for more than half of the genes analyzed, suggesting the potential to predict the expression of numerous ecologically important genes simply by analyzing light reflection.

  • The Notre Dame study was funded by NASA in 2026.
  • A previous study in 2024 combined satellite images with artificial intelligence to create tree species maps.

The players

University of Notre Dame

A private research university located in Notre Dame, Indiana, that conducted the groundbreaking study on using leaf reflectance to detect forest health.

Nathan Swenson

The Gillen Director of the University of Notre Dame Environmental Research Center, who explains how the new technology can provide a real-time measure of forest health at the genomic level.

NASA

The U.S. National Aeronautics and Space Administration, which provided funding for the University of Notre Dame's research on using leaf reflectance to monitor forest health.

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What they’re saying

“By connecting reflectance with gene expression, You can get a real-time measure of forest health at the genomic level.”

— Nathan Swenson, Gillen Director of the University of Notre Dame Environmental Research Center

What’s next

The team is now working to scale this research, building on a 2024 study that combined satellite images with artificial intelligence to create tree species maps. By layering reflectance and gene expression data with these AI-generated maps, researchers aim to create a complete profile for individual trees, identifying those under stress more efficiently.

The takeaway

This integrated approach of using leaf reflectance, gene expression data, satellite imagery, and AI analysis represents a paradigm shift in ecological monitoring, allowing for proactive, rather than reactive, forest management and early detection of stressed trees to reduce the risk of large-scale forest fires.