USE OF NEUTROSOPHIC STATISTICS FOR THE STUDY OF THE IMPACT ON THE FORESTRY EXPLOITATION OF A PRODUCTIVE FOREST
Keywords:
Forest harvesting, floristic composition, ukey's mean comparison test, statistical inferenceAbstract
This paper is dedicated to study the forest and the impact of its use in the native community of Chamiriari in the province of Satipo, Peru. The adequate forestry use of the forests in the area would allow the efficiency in the timber industry and therefore mean an economic improvement, in addition to reducing ecological damages and preserving the cultural wealth of the native Chamiriari people who inhabit the area. That is why the statistical study of how timber resources are exploited in this area of Peru was necessary. For this, plots that serve as a sample were randomly selected to study the trees distribution in Satipo. One drawback found is that due to the number of plots studied and the extension of them it is difficult to count exactly how many trees exist, even on how much land is not planted, that is why the technicians who carried out the data collection were asked to express the data in the form of intervals, where imprecision is included, but the accuracy is preserved. This way of representing the data needs to be processed with the use of Neutrosophic Statistics, which is the extension of the theory of classical statistics to cases where data or parameters are available in interval forms. The results obtained will make it possible to increase the efficiency of timber
industry with a minimum of ecological damage and respecting the way of life of the Chamiriari community. It is the first time to the authors’ knowledge that a study of this kind has been carried out in the province of Satipo. We concluded that the studied plots which are “non-intervened” or with few of cut out trees, have more variety in tree quality and economical interest in comparison with the “intervened” plots.
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