Study of proposed methodology for classification of different different regeneration stages in savanna vegetation

Authors

  • Andressa Ribeiro Universidade Federal de Lavras Departamento de Ciências Florestais
  • Antonio Carlos Ferraz Filho Universidade Federal de Lavras, Departamento de Ciências Florestais

DOI:

https://doi.org/10.4336/2013.pfb.33.73.390

Keywords:

Forest Inventory, Minas Gerais State, Forest mensuration, Quantitative data

Abstract

The methodology proposed by the Forest Inventory of Minas Gerais State, Brazil, consists in applying data collected in quantitative forest inventories to help classify stages of savanna regeneration. Data from seven forest inventories were used. Number of individuals, basal area, quadratic mean diameter, mean height, percentage of individuals in the first diameter class, allied with a visual analysis, was used to classify the stages of regeneration. It was concluded that the new methodology was effective in classifying savanna regeneration stages, using data collected in quantitative forest inventories (DBH ≥ 5 cm), without the need to establishment new plots to sample natural regeneration.

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Author Biographies

Andressa Ribeiro, Universidade Federal de Lavras Departamento de Ciências Florestais

Doutorando em Engenharia Florestal no Departamento de Ciências Florestais da Universidade Federal de Lavras

Antonio Carlos Ferraz Filho, Universidade Federal de Lavras, Departamento de Ciências Florestais

Doutorando em Engenharia Florestal no Departamento de Ciências Florestais da Universidade Federal de Lavras

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Published

2013-03-31

How to Cite

RIBEIRO, Andressa; FERRAZ FILHO, Antonio Carlos. Study of proposed methodology for classification of different different regeneration stages in savanna vegetation. Pesquisa Florestal Brasileira, [S. l.], v. 33, n. 73, p. 91–98, 2013. DOI: 10.4336/2013.pfb.33.73.390. Disponível em: https://pfb.sede.embrapa.br/pfb/article/view/390. Acesso em: 6 mar. 2026.

Issue

Vol. 33 No. 73 (2013): jan./mar.

Section

Scientific Notes

License

Copyright (c) 2013 Andressa Ribeiro, Antonio Carlos Ferraz Filho

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