Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA

Authors

  • Fábio Miranda Leão Universidade Federal do Pará-UFPA
  • Luiz Fernandes Silva Dionisio Universidade Federal Rural da Amazônia-UFRA
  • Loirena do Carmo Moura Sousa Universidade Federal do Pará-UFPA
  • Marlon Costa de Menezes Universidade Federal do Pará-UFPA
  • Marcelo Henrique Silva de Oliveira Universidade Federal Rural da Amazônia-UFRA
  • Raphael Lobato Prado Neves Universidade Federal Rural da Amazônia-UFRA

DOI:

https://doi.org/10.18227/1982-8470ragro.v12i1.4472

Keywords:

Amazon. Random sampling. Forest census. Accuracy. Forest Inventory.

Abstract

Determining the ideal sampling intensity is important to guarantee data closer to reality with less cost and time in the forest inventory. The objective of this paper was to evaluate the influence of different sample intensities to estimate the floristic composition, species diversity and the timber volume, beyond compare the results with their respective parameters obtained in the census of an ombrophilous open forest area in Verde Para Sempre Extractive Reserve. Was simulated a random sampling with sampling units of 1 ha and several sample intensities: 5%, 10%, 15% and 20% in an area of 200 ha that it was submitted to a forest census. It was evaluated the phytosociological parameters such as structure and diversity, and the estimated errors in the sampling intensities for the volume. The forest has a structure with high diversity and species of high economic value, indicating the existence of an aptitude for sustainable forest management. The treatment with 5% and 10% sample intensity were not enough to contemplate all the species in the area and estimate the volume inside to the required accuracy limit, maximum of 10% sampling error. The treatments of 15% and 20% resembled the parametric value regarding floristic composition, species diversity and volumetry of the forest census of the area, showing no significant difference between them. The analysis of the phytosociological structure showed the importance of using sample inventories to evaluate the economic potential of an area and its suitability for forest management.

Author Biographies

Fábio Miranda Leão, Universidade Federal do Pará-UFPA

Professor, Universidade Federal do Pará-UFPA

Luiz Fernandes Silva Dionisio, Universidade Federal Rural da Amazônia-UFRA

Eng. Florestal, Doutorando do Programa de Pós-graduação em ciências florestais ppgcf/UFRA

Marcelo Henrique Silva de Oliveira, Universidade Federal Rural da Amazônia-UFRA

Biólogo, mestrando do Programa de Pós-graduação em ciências florestais ppgcf/UFRA

Raphael Lobato Prado Neves, Universidade Federal Rural da Amazônia-UFRA

Eng. Florestal, Doutorando do Programa de Pós-graduação em ciências florestais ppgcf/UFRA

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Published

23/12/2017

Issue

Vol. 12 No. 1 (2018): JANEIRO - MARÇO

Section

Original Scientific Article

License

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