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

Modern forestry systems rely on typologies of forest types (FTs). In Argentina, several proposals have been developed, but they lack unified criteria. The objective was to compare different approaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenology varia...

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Detalles Bibliográficos
Autores principales: Martínez Pastur, Guillermo José, Loto, Dante, Rodríguez Souilla, Julián, Silveira, Eduarda M. O., Cellini, Juan Manuel, Peri, Pablo L.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2024
Materias:
Ingeniería Forestal
native forests
forest resources
phenoclusters
forest structure and function
sustainable forest management
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/167632
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-167632
record_format dspace
spelling I19-R120-10915-1676322024-07-01T20:06:28Z http://sedici.unlp.edu.ar/handle/10915/167632 Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species Martínez Pastur, Guillermo José Loto, Dante Rodríguez Souilla, Julián Silveira, Eduarda M. O. Cellini, Juan Manuel Peri, Pablo L. 2024 2024-07-01T15:17:09Z en Ingeniería Forestal native forests forest resources phenoclusters forest structure and function sustainable forest management Modern forestry systems rely on typologies of forest types (FTs). In Argentina, several proposals have been developed, but they lack unified criteria. The objective was to compare different approaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenology variations and climate variables) and (ii) forest canopy cover composition by tree species. We conducted comparative uni-variate analyses using data from national forest inventories, forest models (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclusters in 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 to implement in regions dominated by mono-specific forests. However, phenoclusters allowed for the increased complexity of categories at the landscape level. Conversely, in regions where multi-specific stands prevailed, classifications based on forest canopy cover composition proved ineffective; however, phenoclusters facilitated a reduction in complexity at the landscape level. These results offer a pathway to harmonize national FT classifications by employing criteria and indicators to achieve sustainable forest management and conservation initiatives. Laboratorio de Investigaciones en Madera Articulo Articulo http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería Forestal
native forests
forest resources
phenoclusters
forest structure and function
sustainable forest management
spellingShingle Ingeniería Forestal
native forests
forest resources
phenoclusters
forest structure and function
sustainable forest management
Martínez Pastur, Guillermo José
Loto, Dante
Rodríguez Souilla, Julián
Silveira, Eduarda M. O.
Cellini, Juan Manuel
Peri, Pablo L.
Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
topic_facet Ingeniería Forestal
native forests
forest resources
phenoclusters
forest structure and function
sustainable forest management
description Modern forestry systems rely on typologies of forest types (FTs). In Argentina, several proposals have been developed, but they lack unified criteria. The objective was to compare different approaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenology variations and climate variables) and (ii) forest canopy cover composition by tree species. We conducted comparative uni-variate analyses using data from national forest inventories, forest models (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclusters in 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 to implement in regions dominated by mono-specific forests. However, phenoclusters allowed for the increased complexity of categories at the landscape level. Conversely, in regions where multi-specific stands prevailed, classifications based on forest canopy cover composition proved ineffective; however, phenoclusters facilitated a reduction in complexity at the landscape level. These results offer a pathway to harmonize national FT classifications by employing criteria and indicators to achieve sustainable forest management and conservation initiatives.
format Articulo
Articulo
author Martínez Pastur, Guillermo José
Loto, Dante
Rodríguez Souilla, Julián
Silveira, Eduarda M. O.
Cellini, Juan Manuel
Peri, Pablo L.
author_facet Martínez Pastur, Guillermo José
Loto, Dante
Rodríguez Souilla, Julián
Silveira, Eduarda M. O.
Cellini, Juan Manuel
Peri, Pablo L.
author_sort Martínez Pastur, Guillermo José
title Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Species
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
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/167632
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