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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| Format: | Artículo |
| Language: | Inglés |
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MDPI
2024
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| Online Access: | http://hdl.handle.net/20.500.12123/17676 https://www.mdpi.com/2079-9276/13/5/62 https://doi.org/10.3390/resources13050062 |
| _version_ | 1855486014627250176 |
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| author | Martínez Pastur, Guillermo José Loto, Dante Rodríguez‑Souilla, Julián Silveira, Eduarda M.O. Cellini, Juan Manuel Peri, Pablo Luis |
| author_browse | Cellini, Juan Manuel Loto, Dante Martínez Pastur, Guillermo José Peri, Pablo Luis Rodríguez‑Souilla, Julián Silveira, Eduarda M.O. |
| author_facet | Martínez Pastur, Guillermo José Loto, Dante Rodríguez‑Souilla, Julián Silveira, Eduarda M.O. Cellini, Juan Manuel Peri, Pablo Luis |
| author_sort | Martínez Pastur, Guillermo José |
| collection | INTA Digital |
| 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 | Artículo |
| id | INTA17676 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INTA176762024-05-09T09:52:35Z 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 Luis Primary Forests Forest Resources Sustainable Land Management Forest Management Phenology Biodiversity Carbon Bosques Primarios Recursos Forestales Gestión Sostenible de la Tierra Ordenación Forestal Fenología Biodiversidad Carbono Argentina Phenoclusters Forest Structure and Function Climate Variables Forest Canopy Cover Composition Tree Species Fenoclusters Estructura Funcional Forestal Variables Climáticas Composición de la Cubierta del Dosel Forestal Especies de Arboles 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. EEA Santa Cruz Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina. Fil: Loto, Dante. Universidad Nacional de Santiago del Estero. Instituto de Silvicultura y Manejo de Bosques; Argentina. Fil: Loto, Dante. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Rodríguez‑Souilla, Julián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina. Fil: Silveira, Eduarda M.O. University of Wisconsin. Department of Forest and Wildlife Ecology. SILVIS Lab.; Estados Unidos. Fil: Cellini, Juan Manuel. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Laboratorio de Investigaciones en Maderas; Argentina. Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. 2024-05-09T09:43:54Z 2024-05-09T09:43:54Z 2024-04-24 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/17676 https://www.mdpi.com/2079-9276/13/5/62 Martínez Pastur G.; Loto D.; Rodríguez-Souilla J.; Silveira E.M.O.; Cellini J.M.; Peri P.L. (2024) Different approaches of forest type classifications for Argentina based on functional forests and canopy cover composition by tree species. Resources 13: 62. https://doi.org/10.3390/resources13050062 2079-9276 (electronic) https://doi.org/10.3390/resources13050062 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf MDPI Resources 13 (5) : 62. (April 2024) |
| spellingShingle | Primary Forests Forest Resources Sustainable Land Management Forest Management Phenology Biodiversity Carbon Bosques Primarios Recursos Forestales Gestión Sostenible de la Tierra Ordenación Forestal Fenología Biodiversidad Carbono Argentina Phenoclusters Forest Structure and Function Climate Variables Forest Canopy Cover Composition Tree Species Fenoclusters Estructura Funcional Forestal Variables Climáticas Composición de la Cubierta del Dosel Forestal Especies de Arboles Martínez Pastur, Guillermo José Loto, Dante Rodríguez‑Souilla, Julián Silveira, Eduarda M.O. Cellini, Juan Manuel Peri, Pablo Luis 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 |
| 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_short | 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 |
| topic | Primary Forests Forest Resources Sustainable Land Management Forest Management Phenology Biodiversity Carbon Bosques Primarios Recursos Forestales Gestión Sostenible de la Tierra Ordenación Forestal Fenología Biodiversidad Carbono Argentina Phenoclusters Forest Structure and Function Climate Variables Forest Canopy Cover Composition Tree Species Fenoclusters Estructura Funcional Forestal Variables Climáticas Composición de la Cubierta del Dosel Forestal Especies de Arboles |
| url | http://hdl.handle.net/20.500.12123/17676 https://www.mdpi.com/2079-9276/13/5/62 https://doi.org/10.3390/resources13050062 |
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