ArticleCommunications earth & environment2025
Linking leaf hyperspectral reflectance to gene expression.
Article in Communications earth & environment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Spectral network analysis illuminates coordinated plant traits across a climate gradient.The New phytologist · 2026Article
- Remote Sensing Applications in Medicinal Plant Monitoring and Quality Assessment: A Review.Sensors (Basel, Switzerland) · 2026Review
- Multi-Scale Remote-Sensing Phenomics Integrated with Multi-Omics: Advances in Crop Drought-Heat Stress Tolerance Mechanisms and Perspectives for Climate-Smart Agriculture.Plants (Basel, Switzerland) · 2025Review
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Authors and funding
5 authors.
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Abstract
Forest diversity and dynamics are governed by the interactions between organismal function and the abiotic and biotic environment. Functional traits have been widely employed in forest ecology to estimate key functional tradeoffs related to tree performance in a given environment. Hyperspectral reflectance data are utilized in ecology to predict functional trait values at the individual tree or pixel scale on broad spatial extents, but the diversity of functions captured by these traits is limited. Here, we demonstrate a novel integration of reflectance and to gene expression data for processes of interest to ecologists. We show linkages between the expression of ecologically important genes and reflectance data and the potential to transform the depth at which ecologists can rapidly estimate functional diversity.
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