Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs
Leaf reflectance spectroscopy is emerging as an effective tool for assessing plant diversity and function. However, the ability of leaf spectra to detect fine‐scale plant evolutionary diversity in complicated biological scenarios is not well understood. We test if reflectance spectra (400–2400 nm) c...
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2021
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297881/ http://www.ncbi.nlm.nih.gov/pubmed/34510452 https://doi.org/10.1111/nph.17731 |
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ftpubmed:oai:pubmedcentral.nih.gov:9297881 2023-05-15T15:06:39+02:00 Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs Stasinski, Lance White, Dawson M. Nelson, Peter R. Ree, Richard H. Meireles, José Eduardo 2021-10-19 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297881/ http://www.ncbi.nlm.nih.gov/pubmed/34510452 https://doi.org/10.1111/nph.17731 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297881/ http://www.ncbi.nlm.nih.gov/pubmed/34510452 http://dx.doi.org/10.1111/nph.17731 © 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. CC-BY-NC-ND New Phytol Research Text 2021 ftpubmed https://doi.org/10.1111/nph.17731 2022-07-31T02:14:40Z Leaf reflectance spectroscopy is emerging as an effective tool for assessing plant diversity and function. However, the ability of leaf spectra to detect fine‐scale plant evolutionary diversity in complicated biological scenarios is not well understood. We test if reflectance spectra (400–2400 nm) can distinguish species and detect fine‐scale population structure and phylogenetic divergence – estimated from genomic data – in two co‐occurring, hybridizing, ecotypically differentiated species of Dryas. We also analyze the correlation among taxonomically diagnostic leaf traits to understand the challenges hybrids pose to classification models based on leaf spectra. Classification models based on leaf spectra identified two species of Dryas with 99.7% overall accuracy and genetic populations with 98.9% overall accuracy. All regions of the spectrum carried significant phylogenetic signal. Hybrids were classified with an average overall accuracy of 80%, and our morphological analysis revealed weak trait correlations within hybrids compared to parent species. Reflectance spectra captured genetic variation and accurately distinguished fine‐scale population structure and hybrids of morphologically similar, closely related species growing in their home environment. Our findings suggest that fine‐scale evolutionary diversity is captured by reflectance spectra and should be considered as spectrally‐based biodiversity assessments become more prevalent. Text Arctic PubMed Central (PMC) Arctic New Phytologist 232 6 2283 2294 |
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Research Stasinski, Lance White, Dawson M. Nelson, Peter R. Ree, Richard H. Meireles, José Eduardo Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
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Research |
description |
Leaf reflectance spectroscopy is emerging as an effective tool for assessing plant diversity and function. However, the ability of leaf spectra to detect fine‐scale plant evolutionary diversity in complicated biological scenarios is not well understood. We test if reflectance spectra (400–2400 nm) can distinguish species and detect fine‐scale population structure and phylogenetic divergence – estimated from genomic data – in two co‐occurring, hybridizing, ecotypically differentiated species of Dryas. We also analyze the correlation among taxonomically diagnostic leaf traits to understand the challenges hybrids pose to classification models based on leaf spectra. Classification models based on leaf spectra identified two species of Dryas with 99.7% overall accuracy and genetic populations with 98.9% overall accuracy. All regions of the spectrum carried significant phylogenetic signal. Hybrids were classified with an average overall accuracy of 80%, and our morphological analysis revealed weak trait correlations within hybrids compared to parent species. Reflectance spectra captured genetic variation and accurately distinguished fine‐scale population structure and hybrids of morphologically similar, closely related species growing in their home environment. Our findings suggest that fine‐scale evolutionary diversity is captured by reflectance spectra and should be considered as spectrally‐based biodiversity assessments become more prevalent. |
format |
Text |
author |
Stasinski, Lance White, Dawson M. Nelson, Peter R. Ree, Richard H. Meireles, José Eduardo |
author_facet |
Stasinski, Lance White, Dawson M. Nelson, Peter R. Ree, Richard H. Meireles, José Eduardo |
author_sort |
Stasinski, Lance |
title |
Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
title_short |
Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
title_full |
Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
title_fullStr |
Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
title_full_unstemmed |
Reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
title_sort |
reading light: leaf spectra capture fine‐scale diversity of closely related, hybridizing arctic shrubs |
publisher |
John Wiley and Sons Inc. |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297881/ http://www.ncbi.nlm.nih.gov/pubmed/34510452 https://doi.org/10.1111/nph.17731 |
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Arctic |
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Arctic |
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Arctic |
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Arctic |
op_source |
New Phytol |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297881/ http://www.ncbi.nlm.nih.gov/pubmed/34510452 http://dx.doi.org/10.1111/nph.17731 |
op_rights |
© 2021 The Authors. New Phytologist © 2021 New Phytologist Foundation https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
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CC-BY-NC-ND |
op_doi |
https://doi.org/10.1111/nph.17731 |
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New Phytologist |
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232 |
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6 |
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2283 |
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2294 |
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