Using acoustic tomography to model wood deterioration in Cedrelinga cateniformis Ducke in the Peruvian Amazon

• Autores: Cardenas Rengifo, Gloria Patricia, Baselly Villanueva, Juan Rodrigo, Chumbimune Vivanco, Sheyla Y., Macedo Ramírez, Arturo T., Salazar, Evelin, Minaya, Benjamín, Quintana, Saron, Cabudivo, Abrahan, Palma, Stella S. A., Álvarez Álvarez, Pedro, Ocaña Reyes, Jimmy Alcides
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Instituto Nacional de Innovación Agraria
• Repositorio: INIA-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:null:20.500.12955/2482
• Enlace del recurso: https://hdl.handle.net/20.500.12955/2482; https://doi.org/10.3390/f15050778
• Nivel de acceso: acceso abierto
• Materia: Non-destructive evaluation; Acoustic waves; Wood quality; Internal defects; Regression; Cedrelinga cateniformis; https://purl.org/pe-repo/ocde/ford#4.01.02; Calidad de la madera; Acoustic tomography; Tomografía acústica; Forest degradation; Degradación forestal

Forest plantations can be established in order to restore degraded areas. Acoustic tomography, which is of increasing importance in forest management, was used in the present study to obtain information for managing plantations of Cedrelinga cateniformis Ducke in the Peruvian Amazon. The species is valuable in the timber sector of Peru, but the core wood tends to deteriorate and develop cavities. The main objective of the study was to model wood deterioration in Cedrelinga cateniformis Ducke using the data obtained through acoustic tomography. Eight plantations of varying ages were analyzed using acoustic tomography in order to obtain indicators of wood deterioration. Biometric, climatic, and edaphic data (explanatory variables) were also measured in each plantation. The indicator variables and explanatory variables were compared and evaluated using correlation and principal component analysis. Wood deterioration was modelled using stepwise regression. The indicator variables differed significantly between plantations and were mainly correlated with the biometric variables (age and diameter at breast height). The models explained 81% of the variability of pith rot. The percentage rotten area was minimal in young plantations (1%), and the opposite was observed in mature trees (21.5 to 25.6%). The study findings provide valuable information, enabling foresters to determine the optimal age and diameter for felling Cedrelinga cateniformis in plantations in the Peruvian Amazon.