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Banca de QUALIFICAÇÃO: FIAMA KELLY MELO NUNES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : FIAMA KELLY MELO NUNES
DATE: 29/06/2023
TIME: 14:30
LOCAL: Belém
TITLE:

DETERMINATION OF FOREST RESIDUES BY THE INTERCEPTOR LINES METHOD


KEY WORDS:

Forest residues; Amazon; Forest Management; Use of waste


PAGES: 28
BIG AREA: Ciências Agrárias
AREA: Recursos Florestais e Engenharia Florestal
SUBÁREA: Manejo Florestal
SPECIALTY: Administração Florestal
SUMMARY:

Woody residues (RL) are defined as all dead and fallen material on the forest floor, found both in unexplored and exploited areas, with a diameter greater than 10 cm (KELLER et al., 2004a). Also classified as RL are parts of harvested trees not removed from the forest, such as antlers, branches, buttresses, crooked parts of trunks and branches, hollow sections of logs, wood from the natural fall of the tree or parts of these woods (heartwood) and remains of sawing logs for eventual use for local infrastructure (bridges, shacks, etc.) (BURAKOUSKI et al., 2021; LIMA et al., 2020b; SANTOS et al., 2014; VATRAZ; BORGES, 2019). In selective logging, residues result not only from cut trees, but also from damage to their surroundings due to inadequate practices of cutting, milling and opening roads for dragging logs (NUMAZAWA et al., 2017a).

In the context of sustainable development and with the aim of reducing the pressure on natural forests, especially in the Amazon, the use of RL has occupied an important space in the forest sector, due to the various potential uses that these resources provide, favoring both the market both internal and external (DIONISIO et al., 2022). However, the allocation of RL depends on the physical-chemical and anatomical characteristics of the species, in addition to the size of the residue, making planning and use management essential (BURAKOUSKI et al., 2021).

Volume estimates are important for planning forest harvests, as they allow indicating the available and usable amount of wood, favoring decision-making on the destination of the RL (CRUZ FILHO; SILVA, 2009). Generally, due to the lower operating cost when compared to rigorous cubage (appropriate way to quantify the volume of wood), estimates are made using different mathematical models, which relate the diameter and length of the residue to obtain the volume. (GARCIA, 2011; NANVONAMUQUITXO; ROJAS; HOFIÇO, 2017a). Cruz Filho and Silva (2009) observed a significant difference in the volume of woody residues between non-exploited forest and forest logged via reduced impact techniques, due to the addition of residues generated by logging compared to those generated by natural causes, with a greater amount of residues in explored area.

It is also known that large trees generate waste from thick branches with diameters that allow the processing and use of sawn wood for the furniture sector and the manufacture of small artifacts, in addition to the pre-cut sector (RIBEIRO et al., 2019). However, sampling errors are frequent, due to inadequate sampling effort, jeopardizing estimates and a better understanding of the production of residues of Amazonian species. For this, the intercepting lines method appears as a viable and effective alternative, since it is characterized by the distribution of lines perpendicular to the main axis of the plot, where the diameter and decomposition class are evaluated at the intersection points (CRUZ FILHO; SILVA, 2009). An obvious problem with this method is the lack of standardization regarding the spacing between lines and, consequently, regarding the layout formed by the intersection of the lines. In this sense, the objective of this work is to evaluate and define the most appropriate layout for estimating the volume of waste generated by reduced impact exploration in the municipality of Porto de Moz, state of Pará, Brazilian Amazon.


BANKING MEMBERS:
Presidente - 741.673.590-49 - GUSTAVO SCHWARTZ - EMBRAPA
Externo ao Programa - 1465700 - EDUARDO SARAIVA DA ROCHA
Externo ao Programa - 1228204 - MARIO LOPES DA SILVA JUNIOR
Externo à Instituição - RICARDO MANUEL BARDALES LOZANO - UFRR
Externo à Instituição - LUIZ FERNANDES SILVA DIONISIO - UFRR
Notícia cadastrada em: 19/06/2023 08:43
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