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

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...

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Main Authors: Fábio Miranda Leão, Luiz Fernandes Silva Dionisio, Loirena do Carmo Moura Sousa, Marlon Costa de Menezes, Marcelo Henrique Silva de Oliveira, Raphael Lobato Prado Neves
Format: Article
Language:English
Published: Universidade Federal de Roraima 2017-12-01
Series:Agro@mbiente On-line
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Online Access:https://revista.ufrr.br/agroambiente/article/view/4472
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author Fábio Miranda Leão
Luiz Fernandes Silva Dionisio
Loirena do Carmo Moura Sousa
Marlon Costa de Menezes
Marcelo Henrique Silva de Oliveira
Raphael Lobato Prado Neves
author_facet Fábio Miranda Leão
Luiz Fernandes Silva Dionisio
Loirena do Carmo Moura Sousa
Marlon Costa de Menezes
Marcelo Henrique Silva de Oliveira
Raphael Lobato Prado Neves
author_sort Fábio Miranda Leão
collection DOAJ
description 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.
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spelling doaj-art-08b43fe4ad184553b3a577d4f494ad972025-02-04T15:01:17ZengUniversidade Federal de RoraimaAgro@mbiente On-line1982-84702017-12-01121Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PAFábio Miranda Leão0Luiz Fernandes Silva Dionisio1Loirena do Carmo Moura Sousa2Marlon Costa de Menezes3Marcelo Henrique Silva de Oliveira4Raphael Lobato Prado Neves5Universidade Federal do Pará-UFPAUniversidade Federal Rural da Amazônia-UFRAUniversidade Federal do Pará-UFPAUniversidade Federal do Pará-UFPAUniversidade Federal Rural da Amazônia-UFRAUniversidade Federal Rural da Amazônia-UFRADetermining 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.https://revista.ufrr.br/agroambiente/article/view/4472Amazon. Random sampling. Forest census. Accuracy. Forest Inventory.
spellingShingle Fábio Miranda Leão
Luiz Fernandes Silva Dionisio
Loirena do Carmo Moura Sousa
Marlon Costa de Menezes
Marcelo Henrique Silva de Oliveira
Raphael Lobato Prado Neves
Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA
Agro@mbiente On-line
Amazon. Random sampling. Forest census. Accuracy. Forest Inventory.
title Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA
title_full Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA
title_fullStr Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA
title_full_unstemmed Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA
title_short Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA
title_sort sample intensity in ombrophilous open forest at verde para sempre extractive reserve porto de moz pa
topic Amazon. Random sampling. Forest census. Accuracy. Forest Inventory.
url https://revista.ufrr.br/agroambiente/article/view/4472
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