Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy
Descripción del Articulo
This research was supported by the Project Concytec – Banco Mundial, through its executing unit is the Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT) (Project No. 043-2019-FONDECYT- BMINC.INV). A special thanks to the entire team of the research project “...
| Autores: | , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/3178 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/3178 |
| Nivel de acceso: | acceso abierto |
| Materia: | Wood identification Tropical wood species Amazon tree species Peruvian Forest http://purl.org/pe-repo/ocde/ford#2.05.05 |
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| dc.title.none.fl_str_mv |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| title |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| spellingShingle |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy Alves Ferrerira, Cassiana Wood identification Tropical wood species Amazon tree species Peruvian Forest http://purl.org/pe-repo/ocde/ford#2.05.05 |
| title_short |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| title_full |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| title_fullStr |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| title_full_unstemmed |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| title_sort |
Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy |
| author |
Alves Ferrerira, Cassiana |
| author_facet |
Alves Ferrerira, Cassiana Inga Guillen, Janet Gaby Vidal Alanya, Osir Daygor Goytendia Centeno, Walter Moya Mateo, Sthefany Madjory Centeno Utos, Thonny Vélez Echeverry, Andrés Gamarra Moreno, Daniel Tomazello-Filho, Mario |
| author_role |
author |
| author2 |
Inga Guillen, Janet Gaby Vidal Alanya, Osir Daygor Goytendia Centeno, Walter Moya Mateo, Sthefany Madjory Centeno Utos, Thonny Vélez Echeverry, Andrés Gamarra Moreno, Daniel Tomazello-Filho, Mario |
| author2_role |
author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Alves Ferrerira, Cassiana Inga Guillen, Janet Gaby Vidal Alanya, Osir Daygor Goytendia Centeno, Walter Moya Mateo, Sthefany Madjory Centeno Utos, Thonny Vélez Echeverry, Andrés Gamarra Moreno, Daniel Tomazello-Filho, Mario |
| dc.subject.none.fl_str_mv |
Wood identification |
| topic |
Wood identification Tropical wood species Amazon tree species Peruvian Forest http://purl.org/pe-repo/ocde/ford#2.05.05 |
| dc.subject.es_PE.fl_str_mv |
Tropical wood species Amazon tree species Peruvian Forest |
| dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#2.05.05 |
| description |
This research was supported by the Project Concytec – Banco Mundial, through its executing unit is the Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT) (Project No. 043-2019-FONDECYT- BMINC.INV). A special thanks to the entire team of the research project “MaderApp: Un aplicativo móvil para el reconocimiento automático y en tiempo real de especies maderables comerciales para combatir la tala ilegal en Selva Central, Perú”. |
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2021 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/3178 |
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2-s2.0-85133185490 |
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https://hdl.handle.net/20.500.12390/3178 |
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2-s2.0-85133185490 |
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eng |
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eng |
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BioResources |
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info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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NC State University |
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NC State University |
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reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
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CONCYTEC |
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CONCYTEC-Institucional |
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Publicationrp08984600rp08985600rp08986600rp08990600rp08987600rp08988600rp08983600rp08989600rp07727600Alves Ferrerira, CassianaInga Guillen, Janet GabyVidal Alanya, Osir DaygorGoytendia Centeno, WalterMoya Mateo, Sthefany MadjoryCenteno Utos, ThonnyVélez Echeverry, AndrésGamarra Moreno, DanielTomazello-Filho, Mario2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/31782-s2.0-85133185490This research was supported by the Project Concytec – Banco Mundial, through its executing unit is the Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT) (Project No. 043-2019-FONDECYT- BMINC.INV). A special thanks to the entire team of the research project “MaderApp: Un aplicativo móvil para el reconocimiento automático y en tiempo real de especies maderables comerciales para combatir la tala ilegal en Selva Central, Perú”.The “Selva Central” of Peru is characterized by its forest species richness that produces quality wood for countless uses. Therefore, it is necessary to identify the wood and its macroscopic anatomy, which is an important tool for the botanical identification of tree species. For this purpose, 13 sawmills located in 3 provinces were selected that exploit several tree species of “Selva Central”. Sampling of representative woods was carried out, identified by common names and, in the laboratory, they were polished, examined, and grouped by the similarity of the macroscopic anatomical structure, leading to the tree species identification. Twenty tree species were identified, belonging to 17 genera, with emphasis on the Lauraceae and Fabaceae families. However, Moraceae, Meliaceae, Lecythidaceae, Euphorbiaceae, Bignoniaceae, Myristicaceae, Combretaceae, and Burseraceae families were also identified. The anatomical structures of all the identified tree species were described, transversal and longitudinal tangential cross section images were collected, and a species identification key was constructed. The implications and importance of tree species identification via wood anatomy were discussed, in terms of controlling forest exploitation, traceability of the production chain, and the future development of an artificial intelligence tree-species identification method.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengNC State UniversityBioResourcesinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Wood identificationTropical wood species-1Amazon tree species-1Peruvian Forest-1http://purl.org/pe-repo/ocde/ford#2.05.05-1Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomyinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTECORIGINAL2021_Rheological bioactive properties and sensory preferences of dark chocolates with partial incorporation of Sacha Inchi.pdf2021_Rheological bioactive properties and sensory preferences of dark chocolates with partial incorporation of Sacha Inchi.pdfapplication/pdf298717https://repositorio.concytec.gob.pe/bitstreams/9aa711f3-4ebb-33b0-41cf-b74d0ce8431a/downloadc5735d9be29a574088db1fac0ef62275MD53THUMBNAIL2021_Rheological bioactive properties and sensory preferences of dark chocolates with partial incorporation of Sacha Inchi.pdf.jpg2021_Rheological bioactive properties and sensory preferences of dark chocolates with partial incorporation of Sacha Inchi.pdf.jpgIM Thumbnailimage/jpeg13058https://repositorio.concytec.gob.pe/bitstreams/f91c993e-04b5-06ff-a7cc-6dea31057b6c/download539b465ae18ef70843ceb07911abcee5MD53065TEXT2021_Rheological bioactive properties and sensory preferences of dark chocolates with partial incorporation of Sacha Inchi.pdf.txt2021_Rheological bioactive properties and sensory preferences of dark chocolates with partial incorporation of Sacha Inchi.pdf.txtExtracted texttext/plain37178https://repositorio.concytec.gob.pe/bitstreams/1ba1c2d3-2b6a-4ea7-ba51-4c34081b6af7/download621f512ae1ade9d88353c2c5a6ba8ebbMD5306620.500.12390/3178oai:repositorio.concytec.gob.pe:20.500.12390/31782024-06-19 21:05:06.299https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessopen accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b14b8ba7-29f4-4475-afaa-22fd08a83149"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy</Title> <PublishedIn> <Publication> <Title>BioResources</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <SCP-Number>2-s2.0-85133185490</SCP-Number> <Authors> <Author> <DisplayName>Alves Ferrerira, Cassiana</DisplayName> <Person id="rp08984" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Inga Guillen, Janet Gaby</DisplayName> <Person id="rp08985" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Vidal Alanya, Osir Daygor</DisplayName> <Person id="rp08986" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Goytendia Centeno, Walter</DisplayName> <Person id="rp08990" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Moya Mateo, Sthefany Madjory</DisplayName> <Person id="rp08987" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Centeno Utos, Thonny</DisplayName> <Person id="rp08988" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Vélez Echeverry, Andrés</DisplayName> <Person id="rp08983" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gamarra Moreno, Daniel</DisplayName> <Person id="rp08989" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Tomazello-Filho, Mario</DisplayName> <Person id="rp07727" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>NC State University</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by/4.0/</License> <Keyword>Wood identification</Keyword> <Keyword>Tropical wood species</Keyword> <Keyword>Amazon tree species</Keyword> <Keyword>Peruvian Forest</Keyword> <Abstract>The “Selva Central” of Peru is characterized by its forest species richness that produces quality wood for countless uses. Therefore, it is necessary to identify the wood and its macroscopic anatomy, which is an important tool for the botanical identification of tree species. For this purpose, 13 sawmills located in 3 provinces were selected that exploit several tree species of “Selva Central”. Sampling of representative woods was carried out, identified by common names and, in the laboratory, they were polished, examined, and grouped by the similarity of the macroscopic anatomical structure, leading to the tree species identification. Twenty tree species were identified, belonging to 17 genera, with emphasis on the Lauraceae and Fabaceae families. However, Moraceae, Meliaceae, Lecythidaceae, Euphorbiaceae, Bignoniaceae, Myristicaceae, Combretaceae, and Burseraceae families were also identified. The anatomical structures of all the identified tree species were described, transversal and longitudinal tangential cross section images were collected, and a species identification key was constructed. The implications and importance of tree species identification via wood anatomy were discussed, in terms of controlling forest exploitation, traceability of the production chain, and the future development of an artificial intelligence tree-species identification method.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
