期刊
REMOTE SENSING
卷 8, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/rs8030221
关键词
evolution; leaf functional traits; hyperspectral data; optical classification; tree of life; PLS-DA; genetic variation; hierarchical organization of plant diversity; phylogenetic signal; populations
类别
资金
- National Science Foundation [IOS 0843665, DEB 1146380, DEB 1342872]
- National Aeronautic and Space Agency (NASA) [NNX12AQ28G]
- Division Of Environmental Biology
- Direct For Biological Sciences [1342872, 1342778] Funding Source: National Science Foundation
- NASA [NNX12AQ28G, 14175] Funding Source: Federal RePORTER
Species and phylogenetic lineages have evolved to differ in the way that they acquire and deploy resources, with consequences for their physiological, chemical and structural attributes, many of which can be detected using spectral reflectance form leaves. Recent technological advances for assessing optical properties of plants offer opportunities to detect functional traits of organisms and differentiate levels of biological organization across the tree of life. Here, we connect leaf-level full range spectral data (400-2400 nm) of leaves to the hierarchical organization of plant diversity within the oak genus (Quercus) using field and greenhouse experiments in which environmental factors and plant age are controlled. We show that spectral data significantly differentiate populations within a species and that spectral similarity is significantly associated with phylogenetic similarity among species. We further show that hyperspectral information allows more accurate classification of taxa than spectrally-derived traits, which by definition are of lower dimensionality. Finally, model accuracy increases at higher levels in the hierarchical organization of plant diversity, such that we are able to better distinguish clades than species or populations. This pattern supports an evolutionary explanation for the degree of optical differentiation among plants and demonstrates potential for remote detection of genetic and phylogenetic diversity.
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