ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014
Imaging spectroscopy links aspen genotype with below-ground processes at landscape scales.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Genome-wide associations of leaf spectral variation in MAGIC lines of Nicotiana attenuata.Ecology · 2026Article
- Genetic constraints on in-situ reflectance spectral variation in bermudagrass populations across Hainan Island.Plant phenomics (Washington, D.C.) · 2026Article
- Spectral biology across scales in changing environments.Ecology · 2025Review
- Hyperspectral Leaf Reflectance Detects Interactive Genetic and Environmental Effects on Tree Phenotypes, Enabling Large-Scale Monitoring and Restoration Planning Under Climate Change.Plant, cell & environment · 2025Article
- Vegetative phase change causes age-dependent changes in phenotypic plasticity.The New phytologist · 2023Article
- Foliar functional and genetic variation in a keystone Hawaiian tree species estimated through spectroscopy.Oecologia · 2023Article
- Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings.Plant phenomics (Washington, D.C.) · 2023Article
- The Spectral Species Concept in Living Color.Journal of geophysical research. Biogeosciences · 2022Review
- Remotely detected aboveground plant function predicts belowground processes in two prairie diversity experiments.Ecological monographs · 2022Article
- Reading light: leaf spectra capture fine-scale diversity of closely related, hybridizing arctic shrubs.The New phytologist · 2021Article
- Growth-defense trade-offs shape population genetic composition in an iconic forest tree species.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Coupling spectral and resource-use complementarity in experimental grassland and forest communities.Proceedings. Biological sciences · 2021Article
- Effects of genomic and functional diversity on stand-level productivity and performance of non-native Arabidopsis.Proceedings. Biological sciences · 2020Article
- Leaf reflectance spectra capture the evolutionary history of seed plants.The New phytologist · 2020Article
- Intraspecific genetic variation of aEcology and evolution · 2020Article
- Satellite remote sensing, biodiversity research and conservation of the future.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
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6 authors.
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Abstract
Fine-scale biodiversity is increasingly recognized as important to ecosystem-level processes. Remote sensing technologies have great potential to estimate both biodiversity and ecosystem function over large spatial scales. Here, we demonstrate the capacity of imaging spectroscopy to discriminate among genotypes of Populus tremuloides (trembling aspen), one of the most genetically diverse and widespread forest species in North America. We combine imaging spectroscopy (AVIRIS) data with genetic, phytochemical, microbial and biogeochemical data to determine how intraspecific plant genetic variation influences below-ground processes at landscape scales. We demonstrate that both canopy chemistry and below-ground processes vary over large spatial scales (continental) according to aspen genotype. Imaging spectrometer data distinguish aspen genotypes through variation in canopy spectral signature. In addition, foliar spectral variation correlates well with variation in canopy chemistry, especially condensed tannins. Variation in aspen canopy chemistry, in turn, is correlated with variation in below-ground processes. Variation in spectra also correlates well with variation in soil traits. These findings indicate that forest tree species can create spatial mosaics of ecosystem functioning across large spatial scales and that these patterns can be quantified via remote sensing techniques. Moreover, they demonstrate the utility of using optical properties as proxies for fine-scale measurements of biodiversity over large spatial scales.
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