ArticleThe New phytologist2017
Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests.
Article in The New phytologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Leaf Ontogeny Shapes Divergent Physiological and Metabolic Responses to Contrasting Nitrogen Forms in Chinese Fir (International journal of molecular sciences · 2026Article
- Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models.Plant phenomics (Washington, D.C.) · 2025Article
- All the light we cannot see: Climate manipulations leave short and long-term imprints in spectral reflectance of trees.Ecology · 2025Article
- A multi-spectral and hyperspectral image dataset for evaluating chemical traits and the water status of avocado, olive and grape through leaf dehydration under laboratory conditions.Scientific reports · 2025Article
- Dynamic Simulation of the Leaf Mass per Area (LMA) in Multilayer Crowns of YoungPlants (Basel, Switzerland) · 2024Article
- Identification of Guiboutia species by NIR-HSI spectroscopy.Scientific reports · 2022Article
- Limiting resource and leaf functional traits jointly determine distribution patterns of leaf intrinsic water use efficiency along aridity gradients.Frontiers in plant science · 2022Article
- A Perspective on Plant Phenomics: Coupling Deep Learning and Near-Infrared Spectroscopy.Frontiers in plant science · 2022Article
- Rapid estimation of photosynthetic leaf traits of tropical plants in diverse environmental conditions using reflectance spectroscopy.PloS one · 2021Article
- Evaluating the effect of stand properties and site conditions on the forest reflectance from Sentinel-2 time series.PloS one · 2021Article
- Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature.The New phytologist · 2021Article
- Leaf reflectance spectra capture the evolutionary history of seed plants.The New phytologist · 2020Article
- Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India.International journal of applied earth observation and geoinformation : ITC journal · 2020Article
- High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity.Remote sensing of environment · 2019Article
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14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Leaf age structures the phenology and development of plants, as well as the evolution of leaf traits over life histories. However, a general method for efficiently estimating leaf age across forests and canopy environments is lacking. Here, we explored the potential for a statistical model, previously developed for Peruvian sunlit leaves, to consistently predict leaf ages from leaf reflectance spectra across two contrasting forests in Peru and Brazil and across diverse canopy environments. The model performed well for independent Brazilian sunlit and shade canopy leaves (R
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