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Published:
Mar 31, 2020
Keywords:
Parana pine
biometric modeling
competition among trees

Abstract

This study aimed at modeling competition indices for individual trees of Araucaria angustifolia in natural forests. A total of 397 objetive trees were sampled in Lages and São Francisco de Paula municipalities. Through a non-linear regression analysis, 22 distance-independent and distance-dependent competition indices were modeled based on the diameter at breast height (d) and relative height (hrel: ratio between the total height of the objetive tree and the maximum potential height estimated for the same diameter). The adjusted equations of the indices according to d of the objetive tree achieved values of R² ≤ 0.546 (Syx% ≥ 15.0). The independent variable hrel improved the estimates, explaining up to 63 % of the variation in the data (Syx% ≥ 14.6). In general, competition indices - which consider in the calculation only the variables d of the objetive tree, d of the competitors, its horizontal distance and eventually the height variable- showed superior performance. Therefore, they are indicated for use in growth modeling of A. angustifolia, due to superior facility of application in natural forests. The developed equations showed to be good representations of the degree of competition at the level of the individual tree of A. angustifolia for the two evaluated sites, measuring only the diameter or including the height of the central tree for more accurate precision. The expansion of research to other sites along the distribution of the species will confirm the application of these equations to their full extent. In addition, this work contributes to the inclusion of competition indices in modeling of individual trees in uneven-aged mixed forests.

Emanuel Arnoni Costa
César Augusto Guimarães Finger
Paulo Renato Schneider
André Felipe Hess
Veraldo Liesenberg
Cristine Tagliapietra Schons
Author Biographies

Emanuel Arnoni Costa, Universidade Federal de Uberlândia, Instituto de Ciências Agrárias, Monte Carmelo, Minas Gerais, Brasil.

Universidade Federal de Uberlândia, Instituto de Ciências Agrárias, Monte Carmelo, Minas Gerais, Brasil, tel.: +55 34 99232-3787.

César Augusto Guimarães Finger, Universidade Federal de Santa Maria, Departamento de Ciências Florestais, Santa Maria, Rio Grande do Sul, Brasil; Universidade Tecnológica Federal do Paraná, Dois Vizinhos, Paraná, Brasil.

Universidade Federal de Santa Maria, Departamento de Ciências Florestais, Av. Roraima, 1000 Santa Maria, Rio Grande do Sul, Brasil.

Universidade Tecnológica Federal do Paraná, Estrada para Boa Esperança Km 4, Dois Vizinhos, Paraná, Brasil.

Paulo Renato Schneider, Universidade Federal de Santa Maria, Departamento de Ciências Florestais, Santa Maria, Rio Grande do Sul, Brasil.

Universidade Federal de Santa Maria, Departamento de Ciências Florestais, Av. Roraima, 1000 Santa Maria, Rio Grande do Sul, Brasil.

André Felipe Hess, Universidade do Estado de Santa Catarina, Centro de Ciências Agroveterinárias, Lages, Santa Catarina, Brasil.

Universidade do Estado de Santa Catarina, Centro de Ciências Agroveterinárias, Av. Luiz de Camoes, Lages, Santa Catarina, Brasil.

Veraldo Liesenberg, Universidade do Estado de Santa Catarina, Centro de Ciências Agroveterinárias, Lages, Santa Catarina, Brasil.

Universidade do Estado de Santa Catarina, Centro de Ciências Agroveterinárias, Av. Luiz de Camoes, Lages, Santa Catarina, Brasil.

Cristine Tagliapietra Schons, Universidade Federal de Santa Maria, Programa de Pós Graduação em Engenharia Florestal, Santa Maria, Rio Grande do Sul, Brasil.

Universidade Federal de Santa Maria, Programa de Pós Graduação em Engenharia Florestal, Av. Roraima, 1000, Santa Maria, Rio Grande do Sul, Brasil.

How to Cite
Arnoni Costa, E., Guimarães Finger, C. A., Schneider, P. R., Hess, A. F., Liesenberg, V., & Tagliapietra Schons, C. (2020). Modeling competition indices for Araucaria angustifolia at two sites in southern Brazil. Revista Bosque, 41(1), 65–75. Retrieved from https://revistabosque.org/index.php/bosque/article/view/261

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