We presented a method to determine the optimal wood production in Amazon forest. The database that feeds the procedure is faster to obtain when compared to other methods. The simulations resulted in higher wood volume production when compared to the current management system. Moreover, it avoids overexploiting several species which could occur due to felling trees before maturity.
Context Currently in Brazil, generalized forest law rules the management of the entire set of timber species and typologies. However, it is important to consider dynamics specificity of each species to ensure management sustainability, especially for the Amazon forest with its wide floristic diversity.
Aims To develop a procedure to determine which logging diameter would achieve optimal wood production by species, using Apuleia leiocarpa (Vogel) J.F. Macbr., Erisma uncinatum Warm., Hymenolobium excelsum Ducke, and Trattinnickia burserifolia Mart. as studying case.
Methods Two main methodologies of analysis by species were combined: probability density function (PDF) and growth modeling. The growth models were used to derive the volume increment curves at the individual tree level. To detect the points of maximum annual increment in volume at the population tree level, we used PDF with adjusted growth equations.
Results The population maximum annual volumetric increments occurred in smaller diameters compared to that of the individual level. When combining shorter cutting cycles with the population biological rotation point considered the minimum felling diameter (MFD), we observed higher annual increments in volume than that achieved using the Brazilian law criteria (MFD = 50 cm) or other MFD tested.
Conclusion The procedure proposed may be used by forest managers and forest law-makers, aiming to maximize sustainable wood production in the Amazon forest.
Dendrochronology; Forest modeling; Minimum felling diameter
Canetti, A., Braz, E.M., de Mattos, P.P. et al. A new approach to maximize the wood production in the sustainable management of Amazon forest. Annals of Forest Science 78, 67 (2021). https://doi.org/10.1007/s13595-021-01079-8
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The data that support the findings of this study are available from Embrapa Florestas and Elabore Projetos e Consultoria Florestal but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Embrapa Florestas and Elabore Projetos e Consultoria Florestal.