PREDICTION OF THE DIAMETRIC STRUCTURE OF COMMERCIAL TREE SPECIES OF THE AMAZONIAN UPLAND FOREST, USING TRANSITION MATRIX

Authors

  • Ulisses Silva da Cunha UFSM
  • Sebastião do Amaral Machado
  • Afonso Figueiredo Filho
  • Carlos Roberto Sanquetta

DOI:

https://doi.org/10.5902/198050981705

Keywords:

growth rate, tropical forest, diametric distribution.

Abstract

This research was originated from a data base of two 100% inventories accomplished in 1984 and 2000 on a same area of 576 hectares of primary tropical forest, located in the National Forest of Tapajós, Belterra, Pará, Brazil.The objective of this research was to evaluate the evolution of diameter structure of 6 commercial tree species in an Amazonian upland forest for the period from 1984 to 2000, and to project it to the year 2016, by using transition matrix. In the two inventories, circunference at breast height (CBH), in cm, were measured with measuring tape, and in 1984, the commercial heights were measured with the hypsometer of Weiss and, in 2000, estimated with the use of sticks; minimum DBH in 1984 were 55 cm for all species and, in 2000, minimum DBH of 35 cm. The construction of the transition matrix was preceded by an exploratory data analysis (EDA), where the box plot was used for outliers detection and the graph stem-and-leaf was used to filter the extreme observations. The analysis of the diametric structure showed that the evolution of DBH observed in the period 1984-2000, presented behavior differentiated by species, although maintaining the basic form of the typical distribution of each species, while the projection of the diametric structure for 2016, using transition matrix remained with the expected tendency, according to the expressed growth rates for the latent roots of the transition matrix, demonstrating to be compatible with the profile of the diametric structure observed in the year 2000.

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References

ADLARD, P. G. Procedures for monitoring tree growth and site change. Oxford: Forestry Institute, 1990.188p. (Tropical Forestry Paper, 23).

ALDER, D. GHAFOSIM: a projection system for natural forest growth and yield in Ghana. Consultancy Report to UK/ODA, 1990. 114p. (Unpublished).

ALDER, D. Growth modelling for mixed tropical forests. Oxford: Forestry Institute, 1995. 231 p. (Tropical Forestry Paper, 30).

ALDER, D.; SYNNOTT, T. J. Permanent sample plot techniques for mixed tropical forest. Oxford: Forestry Institute, 1992. 124 p. (Tropical Forestry Paper, 25).

ASSMANN, E. The principles of forest yield study. Oxford: Pergamon Press, 1970. 506p.

BARNETT, V.; LEWIS, T. Outliers in statistical data. Chichester: John Wiley, 1995. 584p.

DRAPER, N. R.; SMITH, H. Applied regression analysis. 2. ed. New York: John Wiley, 1981. 709p.

ELLISON, A. M. Exploratory data analysis and graphic display: design and analysis of ecological experiments. New York: Chapman & Hall, 1993, p.14-41.

EMBRAPA. Relatório do workshop de implementação do projeto Dendrogene: conservação genética em florestas manejadas na Amazônia. Belém, 2000. 88p.

FUNDAÇÃO DE PESQUISAS FLORESTAIS DO PARANÁ. Inventário comercial da quadra de exploração n. 4 da Floresta Nacional do Tapajós. Curitiba, 1984. 429p.

GNANADESIKAN, R. Methods for statistical data analysis of multivariate observations. New Jersey: John Wiley, 1997. 353p.

HIGUCHI, N. Short-term growth of an undisturbed tropical moist forest in the Brazilian Amazon. 1987. 129p. Tese (Doutorado) - Michigan State University, Michigan, EUA.

HOAGLIN, D. C.; MOSTELLER, F.; TUKEY, J.W. Análise exploratória de dados: técnicas robustas-um guia. Salamandra, Almada, Portugal, 1992. 446p.

IBAMA. PNUD. Plano de manejo florestal da Floresta Nacional do Tapajós, Pará, Brasil. Belém, 1997. 109p.

LESLIE, P. H. On the use of matrices in certain population mathematics. Biometrika, v. 33, p. 183-212, 1945.

MOSTELLER, F.; TUKEY, J. W. Data analysis and regression : a second course in statistics. Reading, UK, Addison-wesley publishing company, 1997. 588p.

RADAMBRASIL. Projeto RADAMBRASIL. Rio de Janeiro: Departamento Nacional da Produção Mineral, 1976. (Levantamento de Recursos Naturais, 10, Folha AS 21).

SANQUETTA, C. R.; NIEFER, I. A.; VOLPI, N. M. P.; MOROKAWA, T. Análise de sensibilidade e risco em prognose volumétrica de florestas com matriz de transição. Agrárias. Curitiba, v. 16, n.1/2, p. 47-62, 1997.

SILVA, R.C.V. M. Identificação de espécimes botânicos. Belém, 2000. 31p.

STATGRAPHICS. User guide. Disponivel em: <http://www.statgraphics.com>. Acesso em: 1999.

TAYLOR, H. M.; KARLIN, S. An introduction to stochastic modeling. 3 ed. San Diego, California: Academic Press, 1998. 631p.

USHER, M. B. A matrix approach to the management of renewable resources, with special reference to selection forests–two extensions. J. Appl. Ecol., v. 3, p. 355-367, 1966.

USHER, M. B. A matrix model for forest management. Biometrics, v. 25, p. 309-315, 1969.

WADSWORTH, R. K. A study of diameter distributions of an uneven aged tropical forest by means of a transition matrix model. 1977. Thesis (Doctor of Philosophy) - College of Forest Resources, University of Washington, Washington, EUA.

NATIONAL INSTITUTE OF STANDARDS AND TECNOLOGY-NIST. Statistics for Scientists & Engineers: exploratory data analysis. Disponivel em: <http://www.itl.nist.gov>. Acesso em: 1999.

Published

2002-03-30

How to Cite

Cunha, U. S. da, Machado, S. do A., Figueiredo Filho, A., & Sanquetta, C. R. (2002). PREDICTION OF THE DIAMETRIC STRUCTURE OF COMMERCIAL TREE SPECIES OF THE AMAZONIAN UPLAND FOREST, USING TRANSITION MATRIX. Ciência Florestal, 12(1), 109–122. https://doi.org/10.5902/198050981705

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