INCLUSION AND EFFECT OF SPATIAL CHARACTERISTICS ON MODELS OF FOREST REGULATION

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Daniel Henrique Breda Binoti Mayra Luiza Marques da Silva Binoti Helio Garcia Leite José Marinaldo Gleriani Carlos Antonio Álvares Soares Ribeiro

Abstract

The objective of this study was to propose alternative ways of including environmental constraints on models of forest regulation. The propose were minimization of the variations of the distances between the management units with harvest intervention and the unit where production is delivered; maximization of the net present value (NPV), with the application of allowed variation in distance (of 5, 10, 15 and 20 %) between the management units with harvest intervention the unit where production is delivered; maximizing the distance between management units with assistance from harvesting; minimization of the variation of the distance between the management units with harvest interventions; maximization of the net present value (NPV), with the application of allowed variation in distance (of 5, 10, 15 and 20 %) among the management units with harvest intervention. The models were evaluated economically by the net present value (NPV) and environmentally by a harvest area index (IAC). The proposed formulations were environmentally better than the classical formulation (Model I). 

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How to Cite
BINOTI, Daniel Henrique Breda et al. INCLUSION AND EFFECT OF SPATIAL CHARACTERISTICS ON MODELS OF FOREST REGULATION. CERNE, [S.l.], v. 20, n. 1, p. 157-164, apr. 2016. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/972>. Date accessed: 16 sep. 2019.
Keywords
Adjacency restrictions, forest regulation, genetic algorithm.
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