Abstract

This study aimed to evaluated two optimized planning strategies and analyze their performance in timber production. Data were obtained in Pinus spp. stands from a forestry company with unbalanced planted area over time. Maximization models of forest production (1) and net present value (2) were formulated and two minimization objective functions of the production deviation (3) and minimum and maximum production oscillation (4) were tested as alternatives to the traditional models. The highest thinning and clearcutting average areas were obtained in strategy 1. Strategies 1 and 2 resulted in the greatest variability of forestry operations. All strategies resulted in the highest timber production for sawn and special sawn wood and the lowest for veneer, while the pulpwood volume was almost constant. Strategies 1 and 2 provided the highest average timber volume and the greatest variability in the production, while strategies 3 and 4 were more efficient, since they supplied the industrial demand with homogeneous production.

Highlights

  • Pinus stands are intensively cultivated in southern Brazil due to their high economic potential and their excellent adaptability to edaphoclimatic conditions (VASQUES et al, 2007), especially in the states of Paraná and Santa Catarina

  • The results indicated an imbalance in forest operations for maximization strategies, which may result in future operational problems due to overproduction in some periods, limiting the application of these objective functions

  • Maximum and minimum wood volume demand restrictions are common in forest harvest optimization work (GOMIDE et al, 2010; GOMIDE et al, 2013), especially to ensure homogeneous productions over the planning horizon

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Summary

Introduction

Pinus stands are intensively cultivated in southern Brazil due to their high economic potential and their excellent adaptability to edaphoclimatic conditions (VASQUES et al, 2007), especially in the states of Paraná and Santa Catarina. According to information from the Brazilian Tree Industry (IBÁ, 2017) from the base year 2016, the Pinus elliottii Engelm and Pinus taeda L. planted area corresponds to over 1.6 million hectares, representing 20.4% of the total planted forest area in the country. The rapid expansion of forest plantations in recent decades has led to an imbalance in planted area, resulting in strategic planning problems for several timber sector companies. As a result of the abovementioned problem, there has been a significant increase in the complexity of forest planning in recent years (NORDSTRÖM et al, 2013), which requires developing and improving planning techniques. According to Borges et al (2014), problems in forest planning include long-term optimization of forestry activities, in which detailed information on the location, intensity and application timing of these operations is required. There are difficulties involving transporting forest products to industries and optimizing complex industrial processes

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