Banca de QUALIFICAÇÃO: RAFAEL TELES CALDEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : RAFAEL TELES CALDEIRA
DATE: 30/06/2023
TIME: 14:00
LOCAL: google meet
TITLE:

SPATIAL PLANNING OF WOOD RESIDUES EXTRACTION IN A MANAGED FOREST IN THE REGION OF SOUTHEAST PARAENSE, PARÁ, BRAZIL


KEY WORDS:

Amazon, sustainable forest management, forest logging, heuristics, impact


PAGES: 31
BIG AREA: Ciências Agrárias
AREA: Recursos Florestais e Engenharia Florestal
SUMMARY:

Sustainable Forest Management Plans - PMFs with the purpose of producing wood in
logs have the ability to include in their planning operations for the extraction of exploited
trees, such as branches and frogs, which can be marketed as wooden products. Seeking
to improve forest exploitation, the study sought to investigate how the extraction of wood
residuesis planned and proposing a planning of drag trails and courtyards with less impact
and better operating performance indicators. The proposed planning was generated with
heuristic method, integrating the same data and characteristics of the machinery that the
managers were based, with spatial analysis techniques in a geographic information system
(GIS). The model has virtually created a drag trail infrastructure network for the
extraction of exploited trees, generating a vector that can be compared to the planning
vector practiced. The study was conducted in a Work Unit (UT) belonging to a company
that operates in sustainable forest management in the region of Southeast Para, Pará,
Brazil. The data used to investigate the planning were the Georeferenced Forest Census
containing information on tree selection criteria and maps used in the planning and
execution of cutting and drag operations of logs and residues in the field. The set of field
maps were scanned and the roads, drag trails and vectorized courtyards in GIS
environment, considering the heuristic technique of the lower cost path, a spatial analysis
focused on optimizing the location of connecting and flow lines (trails of drag) at the
shortest global distance. Using the forest census, the volume of residues from the
exploited trees was estimated from statistical literature models and employed to generate
marginal impact and operational yield indicators, which subsidized models comparison.
Also calculated with geoprocessing tools the length and distance of residues to the drag
trails of the two planning models using falling information and height of the stem. based
on a virtual random sampling (GIS environment) with 1HA installments. In the
installments were extracted the volume values of residues, the distance between the trees
and the trails, the length and area of the drag trails of the two georeferenced planning
models in GIS. With this data, the variables of trails (m/ha), trail productivity (m/m3) and
trail impact (m2/ha) were compared by the T test of averages with significance level α =
0.05.


BANKING MEMBERS:
Externo à Instituição - DEUSDEDITH CRUZ FILHO
Presidente - 2411797 - FABIANO EMMERT
Externa ao Programa - 1122452 - MARIA DE NAZARE MACIEL UESUGI
Externo à Instituição - ULISSES SIDNEI DA CONCEIÇÃO SILVA
Interno - 1358527 - WALMER BRUNO ROCHA MARTINS
Notícia cadastrada em: 22/06/2023 08:36
SIGAA | Superintendência de Tecnologia da Informação e Comunicação - (91) 3210-5208 | Copyright © 2006-2025 - UFRN - sigaa3.sigaa3