ArticleThe New phytologist2026
Seeing herbaria in a new light: leaf reflectance spectroscopy unlocks trait and classification modeling in plant biodiversity collections.
Article in The New phytologist, 2026. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus.The New phytologist · 2026Article
- The Use of FTIR Spectra for Classifying Plant Items in a Vertebrate Herbivore's Diet.Journal of chemical ecology · 2026Article
- Foliar spectral signatures reveal adaptive divergence in live oaks (Quercus section Virentes) across species and environmental niches.The New phytologist · 2025Article
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Authors and funding
7 authors.
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Abstract
Reflectance spectroscopy is a rapid method for estimating traits and discriminating species. Spectral libraries from herbarium specimens represent an untapped resource for generating broad phenomic datasets across space, time, and taxa. We conducted a proof-of-concept study using trait data and spectra from herbarium specimens up to 179 yr old, alongside data from recently dried and pressed leaves. We validated model accuracy and transferability for trait prediction and taxonomic discrimination. Trait models from herbarium spectra predicted leaf mass per area (LMA) with R
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