Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species

Autores
Martínez Pastur, Guillermo José; Loto, Dante Ernesto; Rodriguez Souilla, Julian; Silveira, Eduarda; Cellini, Juan Manuel; Peri, Pablo Luis
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Modern forestry systems rely on typologies of forest types (FTs). In Argentina, severalproposals have been developed, but they lack unified criteria. The objective was to compare differentapproaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenologyvariations and climate variables) and (ii) forest canopy cover composition by tree species.We conducted comparative uni-variate analyses using data from national forest inventories, forestmodels (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclustersin differentiating the variability of native forests (proxy: forest structure), biodiversity(proxy: indicator species), and environmental factors (proxies: soil carbon stock, elevation, climate).Additionally, we proposed a simple FT classification methodology based on species composition,considering the basal area of tree species. Finally, we compared the performance of both proposals.Our findings showed that classifications based on forest canopy cover composition are feasible toimplement in regions dominated by mono-specific forests. However, phenoclusters allowed for theincreased complexity of categories at the landscape level. Conversely, in regions where multi-specificstands prevailed, classifications based on forest canopy cover composition proved ineffective; however,phenoclusters facilitated a reduction in complexity at the landscape level. These results offera pathway to harmonize national FT classifications by employing criteria and indicators to achievesustainable forest management and conservation initiatives.
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Loto, Dante Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; Argentina
Fil: Rodriguez Souilla, Julian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Silveira, Eduarda. College Of Agricultura & Life Sciences ; University Of Wisconsin;
Fil: Cellini, Juan Manuel. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Patagonia Austral; Argentina
Materia
Native forests
Forest resources
Forest structure and function
Sustainable forest management
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/240656
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree SpeciesMartínez Pastur, Guillermo JoséLoto, Dante ErnestoRodriguez Souilla, JulianSilveira, EduardaCellini, Juan ManuelPeri, Pablo LuisNative forestsForest resourcesForest structure and functionSustainable forest managementhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Modern forestry systems rely on typologies of forest types (FTs). In Argentina, severalproposals have been developed, but they lack unified criteria. The objective was to compare differentapproaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenologyvariations and climate variables) and (ii) forest canopy cover composition by tree species.We conducted comparative uni-variate analyses using data from national forest inventories, forestmodels (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclustersin differentiating the variability of native forests (proxy: forest structure), biodiversity(proxy: indicator species), and environmental factors (proxies: soil carbon stock, elevation, climate).Additionally, we proposed a simple FT classification methodology based on species composition,considering the basal area of tree species. Finally, we compared the performance of both proposals.Our findings showed that classifications based on forest canopy cover composition are feasible toimplement in regions dominated by mono-specific forests. However, phenoclusters allowed for theincreased complexity of categories at the landscape level. Conversely, in regions where multi-specificstands prevailed, classifications based on forest canopy cover composition proved ineffective; however,phenoclusters facilitated a reduction in complexity at the landscape level. These results offera pathway to harmonize national FT classifications by employing criteria and indicators to achievesustainable forest management and conservation initiatives.Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Loto, Dante Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Rodriguez Souilla, Julian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Silveira, Eduarda. College Of Agricultura & Life Sciences ; University Of Wisconsin;Fil: Cellini, Juan Manuel. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; ArgentinaFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Patagonia Austral; ArgentinaMultidisciplinary Digital Publishing Institute2024-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/240656Martínez Pastur, Guillermo José; Loto, Dante Ernesto; Rodriguez Souilla, Julian; Silveira, Eduarda; Cellini, Juan Manuel; et al.; Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species; Multidisciplinary Digital Publishing Institute; Resources; 13; 5; 4-2024; 1-202079-9276CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2079-9276/13/5/62info:eu-repo/semantics/altIdentifier/doi/10.3390/resources13050062info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:22:05Zoai:ri.conicet.gov.ar:11336/240656instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:22:05.684CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
title Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
spellingShingle Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
Martínez Pastur, Guillermo José
Native forests
Forest resources
Forest structure and function
Sustainable forest management
title_short Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
title_full Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
title_fullStr Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
title_full_unstemmed Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
title_sort Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
dc.creator.none.fl_str_mv Martínez Pastur, Guillermo José
Loto, Dante Ernesto
Rodriguez Souilla, Julian
Silveira, Eduarda
Cellini, Juan Manuel
Peri, Pablo Luis
author Martínez Pastur, Guillermo José
author_facet Martínez Pastur, Guillermo José
Loto, Dante Ernesto
Rodriguez Souilla, Julian
Silveira, Eduarda
Cellini, Juan Manuel
Peri, Pablo Luis
author_role author
author2 Loto, Dante Ernesto
Rodriguez Souilla, Julian
Silveira, Eduarda
Cellini, Juan Manuel
Peri, Pablo Luis
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Native forests
Forest resources
Forest structure and function
Sustainable forest management
topic Native forests
Forest resources
Forest structure and function
Sustainable forest management
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Modern forestry systems rely on typologies of forest types (FTs). In Argentina, severalproposals have been developed, but they lack unified criteria. The objective was to compare differentapproaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenologyvariations and climate variables) and (ii) forest canopy cover composition by tree species.We conducted comparative uni-variate analyses using data from national forest inventories, forestmodels (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclustersin differentiating the variability of native forests (proxy: forest structure), biodiversity(proxy: indicator species), and environmental factors (proxies: soil carbon stock, elevation, climate).Additionally, we proposed a simple FT classification methodology based on species composition,considering the basal area of tree species. Finally, we compared the performance of both proposals.Our findings showed that classifications based on forest canopy cover composition are feasible toimplement in regions dominated by mono-specific forests. However, phenoclusters allowed for theincreased complexity of categories at the landscape level. Conversely, in regions where multi-specificstands prevailed, classifications based on forest canopy cover composition proved ineffective; however,phenoclusters facilitated a reduction in complexity at the landscape level. These results offera pathway to harmonize national FT classifications by employing criteria and indicators to achievesustainable forest management and conservation initiatives.
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Loto, Dante Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; Argentina
Fil: Rodriguez Souilla, Julian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Silveira, Eduarda. College Of Agricultura & Life Sciences ; University Of Wisconsin;
Fil: Cellini, Juan Manuel. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de la Patagonia Austral; Argentina
description Modern forestry systems rely on typologies of forest types (FTs). In Argentina, severalproposals have been developed, but they lack unified criteria. The objective was to compare differentapproaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenologyvariations and climate variables) and (ii) forest canopy cover composition by tree species.We conducted comparative uni-variate analyses using data from national forest inventories, forestmodels (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclustersin differentiating the variability of native forests (proxy: forest structure), biodiversity(proxy: indicator species), and environmental factors (proxies: soil carbon stock, elevation, climate).Additionally, we proposed a simple FT classification methodology based on species composition,considering the basal area of tree species. Finally, we compared the performance of both proposals.Our findings showed that classifications based on forest canopy cover composition are feasible toimplement in regions dominated by mono-specific forests. However, phenoclusters allowed for theincreased complexity of categories at the landscape level. Conversely, in regions where multi-specificstands prevailed, classifications based on forest canopy cover composition proved ineffective; however,phenoclusters facilitated a reduction in complexity at the landscape level. These results offera pathway to harmonize national FT classifications by employing criteria and indicators to achievesustainable forest management and conservation initiatives.
publishDate 2024
dc.date.none.fl_str_mv 2024-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/240656
Martínez Pastur, Guillermo José; Loto, Dante Ernesto; Rodriguez Souilla, Julian; Silveira, Eduarda; Cellini, Juan Manuel; et al.; Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species; Multidisciplinary Digital Publishing Institute; Resources; 13; 5; 4-2024; 1-20
2079-9276
CONICET Digital
CONICET
url http://hdl.handle.net/11336/240656
identifier_str_mv Martínez Pastur, Guillermo José; Loto, Dante Ernesto; Rodriguez Souilla, Julian; Silveira, Eduarda; Cellini, Juan Manuel; et al.; Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species; Multidisciplinary Digital Publishing Institute; Resources; 13; 5; 4-2024; 1-20
2079-9276
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2079-9276/13/5/62
info:eu-repo/semantics/altIdentifier/doi/10.3390/resources13050062
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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