Using Acoustic Tomography to Model Wood Deterioration in Cedrelinga cateniformis Ducke in the Peruvian Amazon

Author:

Cardenas-Rengifo Gloria P.1ORCID,Baselly-Villanueva Juan Rodrigo2ORCID,Chumbimune-Vivanco Sheyla Y.34ORCID,Macedo-Ramírez Arturo T.5ORCID,Salazar Evelin4ORCID,Minaya Benjamín4ORCID,Quintana Saron5ORCID,Cabudivo Abrahan5ORCID,Palma Stella S. A.6ORCID,Álvarez-Álvarez Pedro7ORCID,Ocaña-Reyes Jimmy A.1ORCID

Affiliation:

1. Estación Experimental Agraria Pucallpa, Instituto Nacional de Innovación Agraria (INIA), Carretera Federico Basadre Km 4200, Pucallpa 25004, Peru

2. Estación Experimental Agraria San Roque, Instituto Nacional de Innovación Agraria (INIA), Calle San Roque 209, Loreto 16430, Peru

3. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural (ETSIAMN), Universidad Politécnica de Valencia (UPV), Camino de Vera, s/n, E-46022 Valencia, Spain

4. Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria (INIA), Av. La Molina 1981, Lima 15024, Peru

5. Facultad de Ciencias Forestales, Universidad Nacional de la Amazonía Peruana (UNAP), Calle Pevas N° 548, Iquitos 16002, Peru

6. FEAGRI, Unicamp—School of Agricultural Engineering, University of Campinas, Campinas 13083-875, Brazil

7. Department of Organisms and Systems Biology, Polytechnic School of Mieres, University of Oviedo, E-33600 Mieres, Asturias, Spain

Abstract

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.

Funder

the National Program of Scientific Research and Advanced Studies CONCYTEC

Publisher

MDPI AG

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