Artificial neural networks to estimate the physical-mechanical properties of amazon second cutting cycle wood

Pamella Carolline Marques Dos Reis Reis,Ana Márcia Macedo Ladeira Carvalho,Lucas Mazzei,Agostinho Lopes De Souza,Leonardo Pequeno Reis,Helio Garcia Leite,Lyvia Julienne Sousa Rêgo

doi:10.4067/s0718-221x2018005003501

Pamella Carolline Marques Dos Reis Reis, Ana Márcia Macedo Ladeira Carvalho + Show 5 more

Open Access

https://doi.org/10.4067/s0718-221x2018005003501

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Abstract

Timber from the second cutting cycle may make up the majority of future crop volumetric. However, there are few studies of the physical and mechanical properties of this timber, which are important to support the consolidation of new species. This study aimed to use Artificial Neural Networks to estimate the physical and mechanical properties of wood from the Amazon, based on basic density. The properties were: shrinkage (tangential, radial and volumetric), static bending, parallel and perpendicular to the fiber compression, parallel and transverse to the fibers, Janka hardness, traction, splitting and shear. The estimate followed the tendency of the data observed for the tangential, radial and volumetric shrinkage. The network estimated the mechanical properties with significant accuracy. Distribution of errors, static bending, parallel compression and perpendicular to the fiber compression also showed significant accuracy. Artificial Neural Networks can be used to estimate the physical and mechanical properties of wood from Amazon species.

Highlights

The period between one selective logging harvest and another is called the cutting cycle
Forests have time to regrow harvested stock. These recovery periods are determined by Brazilian legislation (Brasil 2006)
Many studies demonstrated the feasibility of the second cutting cycle in relation to carbon stock recovery. They showed that the first harvest helps the recovery of the forest volume and basal area, boosting the growth of the remaining forest, as reported in studies by Reis et al (2010), Reis et al (2014) and Reis et al (2015)

Summary

Introduction

The period between one selective logging harvest and another is called the cutting cycle During this period, forests have time to regrow harvested stock. The Tapajós National Forest completed its second monitored cutting cycle in 2014 It is the first forest in the world to achieve this outcome, demonstrating that selective wood harvesting in native forests is sustainable. According to Reis et al (2010), over 28 years the forest managed to recover its total volumetric stock This showed that the second cutting cycle in this experimental location is possible, mainly due to the dominant stock of species that were not used in the first harvest. Even with little commercial attractiveness, it may have a significant market, increasing manager production and subsequently, income

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