Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/16831
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dc.contributor.authorHadlich, Hilana Louise-
dc.contributor.authorDurgante, Flávia Machado-
dc.contributor.authorSantos, Joaquim dos-
dc.contributor.authorHiguchi, Niro-
dc.contributor.authorChambers, Jeffrey Quintin-
dc.contributor.authorVicentini, Alberto-
dc.date.accessioned2020-06-15T21:36:36Z-
dc.date.available2020-06-15T21:36:36Z-
dc.date.issued2018-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/16831-
dc.description.abstractThe identification of tree species in the field is often a subjective process and misidentifications cause many problems for forest management in the Amazon Forest. Near infrared spectra from dried leaves of herbarium specimens are able to distinguish species in tropical forests. However, toolsto improve species identification directly in the field are needed. In this study, we tested whether spectral reflectance of bark tissues (rhytidome and phloem) collected with a portable spectrometer in the field can be used for the discrimination of tree species. Spectral data was collected for 254 trees of 8 families, 10 genera and 11 species from terra firme forests in Central Amazon with an ASD field spectrometer. Data consisted of reflectance values within 350–2500 nm wavelengths. We compared the rate of correct species recognition for different datasets using linear discriminant models. The rate of correct species assignment using this technique was 98% when using spectra from the inner bark (phloem) and 94% with outer bark (rhytidome) spectra. We suggest that the application of this technique can improve the quality of species identification directly during field inventories, fostering better forest management practices. © 2018 Elsevier B.V.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 427, Pags. 296-304pt_BR
dc.rightsRestrito*
dc.subjectHistologyen
dc.subjectInfrared Devicesen
dc.subjectNear Infrared Spectroscopyen
dc.subjectReflectionen
dc.subjectSpectrometersen
dc.subjectTissueen
dc.subjectInner Barken
dc.subjectOuter Barken
dc.subjectReflectance Dataen
dc.subjectSpecies Identificationen
dc.subjectVis-nirsen
dc.subjectForestryen
dc.subjectBarken
dc.subjectCellen
dc.subjectForest Managementen
dc.subjectHerbariumen
dc.subjectInfrared Spectroscopyen
dc.subjectSpectral Reflectanceen
dc.subjectSpectrometeren
dc.subjectTreeen
dc.subjectTropical Foresten
dc.subjectWavelengthen
dc.subjectHistologyen
dc.subjectPhloemen
dc.subjectReflectionen
dc.subjectSpecies Identificationen
dc.subjectSpectrometersen
dc.subjectTissueen
dc.subjectAmazoniaen
dc.titleRecognizing Amazonian tree species in the field using bark tissues spectraen
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.foreco.2018.06.002-
dc.publisher.journalForest Ecology and Managementpt_BR
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