Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-i...
| Autor principal: | Lang, Carla |
|---|---|
| Outros Autores: | Costa, Flávia Regina Capellotto, Camargo, José Luís Campana, Durgante, Flávia Machado, Vicentini, Alberto |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
PLoS ONE
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/14693 |
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oai:repositorio:1-14693 |
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oai:repositorio:1-14693 Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species Lang, Carla Costa, Flávia Regina Capellotto Camargo, José Luís Campana Durgante, Flávia Machado Vicentini, Alberto Adult Burseraceae Controlled Study Crepidospermum Rhoifolium Near Infrared Spectroscopy Nonhuman Plant Leaf Plant Structures Prediction Protium Apiculatum Protium Decandrum Protium Grandifolium Protium Hebetatum Protium Krukoffi Protium Occultum Protium Pallidum Protium Paniculatum Var. Nova Protium Paniculatum Var. Riedelianum Protium Sagotianum Protium Subserratum Species Identification Spectral Sensitivity Brasil Classification Growth, Development And Aging Near Infrared Spectroscopy Phylogeny Procedures Species Difference Tree Brasil Classification Phylogeny Plant Leaves Species Specificity Spectroscopy, Near-infrared Trees Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75-100% correct identifications), and only three had poor predictions (27-60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence. © 2015 Lang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 2020-04-24T17:00:25Z 2020-04-24T17:00:25Z 2015 Artigo https://repositorio.inpa.gov.br/handle/1/14693 10.1371/journal.pone.0134521 en Volume 10, Número 8 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf PLoS ONE |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Adult Burseraceae Controlled Study Crepidospermum Rhoifolium Near Infrared Spectroscopy Nonhuman Plant Leaf Plant Structures Prediction Protium Apiculatum Protium Decandrum Protium Grandifolium Protium Hebetatum Protium Krukoffi Protium Occultum Protium Pallidum Protium Paniculatum Var. Nova Protium Paniculatum Var. Riedelianum Protium Sagotianum Protium Subserratum Species Identification Spectral Sensitivity Brasil Classification Growth, Development And Aging Near Infrared Spectroscopy Phylogeny Procedures Species Difference Tree Brasil Classification Phylogeny Plant Leaves Species Specificity Spectroscopy, Near-infrared Trees |
| spellingShingle |
Adult Burseraceae Controlled Study Crepidospermum Rhoifolium Near Infrared Spectroscopy Nonhuman Plant Leaf Plant Structures Prediction Protium Apiculatum Protium Decandrum Protium Grandifolium Protium Hebetatum Protium Krukoffi Protium Occultum Protium Pallidum Protium Paniculatum Var. Nova Protium Paniculatum Var. Riedelianum Protium Sagotianum Protium Subserratum Species Identification Spectral Sensitivity Brasil Classification Growth, Development And Aging Near Infrared Spectroscopy Phylogeny Procedures Species Difference Tree Brasil Classification Phylogeny Plant Leaves Species Specificity Spectroscopy, Near-infrared Trees Lang, Carla Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species |
| topic_facet |
Adult Burseraceae Controlled Study Crepidospermum Rhoifolium Near Infrared Spectroscopy Nonhuman Plant Leaf Plant Structures Prediction Protium Apiculatum Protium Decandrum Protium Grandifolium Protium Hebetatum Protium Krukoffi Protium Occultum Protium Pallidum Protium Paniculatum Var. Nova Protium Paniculatum Var. Riedelianum Protium Sagotianum Protium Subserratum Species Identification Spectral Sensitivity Brasil Classification Growth, Development And Aging Near Infrared Spectroscopy Phylogeny Procedures Species Difference Tree Brasil Classification Phylogeny Plant Leaves Species Specificity Spectroscopy, Near-infrared Trees |
| description |
Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75-100% correct identifications), and only three had poor predictions (27-60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence. © 2015 Lang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| format |
Artigo |
| author |
Lang, Carla |
| author2 |
Costa, Flávia Regina Capellotto Camargo, José Luís Campana Durgante, Flávia Machado Vicentini, Alberto |
| author2Str |
Costa, Flávia Regina Capellotto Camargo, José Luís Campana Durgante, Flávia Machado Vicentini, Alberto |
| title |
Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species |
| title_short |
Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species |
| title_full |
Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species |
| title_fullStr |
Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species |
| title_full_unstemmed |
Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species |
| title_sort |
near infrared spectroscopy facilitates rapid identification of both young and mature amazonian tree species |
| publisher |
PLoS ONE |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/14693 |
| _version_ |
1787145413280661504 |
| score |
11.755432 |