Operational Performance of the Selective Cutting of Trees With Chainsaw
ABSTRACT The objective was to obtain a statistical model to estimate the operational performance of cutting trees with a chainsaw in the natural tropical forest north of Mato Grosso state. One-hundred-and-fifty-one operational cycles of selective logging for commercial purposes were registered. In...
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Universidade Federal Rural do Rio de Janeiro
2018-06-01
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doaj-65d2850bf1134bbbadc20d9dcb8154a72020-11-24T22:19:06ZengUniversidade Federal Rural do Rio de JaneiroFloresta e Ambiente2179-80872018-06-0125310.1590/2179-8087.023916S2179-80872018000300109Operational Performance of the Selective Cutting of Trees With ChainsawFidel Cándano AcostaDavid Christian de OliveiraCleide ArrudaMarcos Leandro GarciaRafael Rodolfo de MeloABSTRACT The objective was to obtain a statistical model to estimate the operational performance of cutting trees with a chainsaw in the natural tropical forest north of Mato Grosso state. One-hundred-and-fifty-one operational cycles of selective logging for commercial purposes were registered. In each cycle, the effective time for cutting, the diameter of the trees, commercial height, the number of logs per tree, and the distance between trees was determined. A step-by-step regression analysis was performed to obtain the coefficients of the models and statistical parameters. The result of the analysis concluded that the most accurate model to estimate the operational performance is the one that transforms the diameter variable at breast height (DBH) squared and also includes the variables number of logs per tree and distance between logged trees.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300109&lng=en&tlng=enforest managementforestry operations |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fidel Cándano Acosta David Christian de Oliveira Cleide Arruda Marcos Leandro Garcia Rafael Rodolfo de Melo |
spellingShingle |
Fidel Cándano Acosta David Christian de Oliveira Cleide Arruda Marcos Leandro Garcia Rafael Rodolfo de Melo Operational Performance of the Selective Cutting of Trees With Chainsaw Floresta e Ambiente forest management forestry operations |
author_facet |
Fidel Cándano Acosta David Christian de Oliveira Cleide Arruda Marcos Leandro Garcia Rafael Rodolfo de Melo |
author_sort |
Fidel Cándano Acosta |
title |
Operational Performance of the Selective Cutting of Trees With Chainsaw |
title_short |
Operational Performance of the Selective Cutting of Trees With Chainsaw |
title_full |
Operational Performance of the Selective Cutting of Trees With Chainsaw |
title_fullStr |
Operational Performance of the Selective Cutting of Trees With Chainsaw |
title_full_unstemmed |
Operational Performance of the Selective Cutting of Trees With Chainsaw |
title_sort |
operational performance of the selective cutting of trees with chainsaw |
publisher |
Universidade Federal Rural do Rio de Janeiro |
series |
Floresta e Ambiente |
issn |
2179-8087 |
publishDate |
2018-06-01 |
description |
ABSTRACT The objective was to obtain a statistical model to estimate the operational performance of cutting trees with a chainsaw in the natural tropical forest north of Mato Grosso state. One-hundred-and-fifty-one operational cycles of selective logging for commercial purposes were registered. In each cycle, the effective time for cutting, the diameter of the trees, commercial height, the number of logs per tree, and the distance between trees was determined. A step-by-step regression analysis was performed to obtain the coefficients of the models and statistical parameters. The result of the analysis concluded that the most accurate model to estimate the operational performance is the one that transforms the diameter variable at breast height (DBH) squared and also includes the variables number of logs per tree and distance between logged trees. |
topic |
forest management forestry operations |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872018000300109&lng=en&tlng=en |
work_keys_str_mv |
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