@InProceedings{CapanemaEsca:2019:ChMuTi,
author = "Capanema, Vin{\'{\i}}cius do Prado and Escada, Maria Isabel
Sobral",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Characterization of municipalities in the timber production chain
in the north of Mato Grosso, Brazil",
year = "2019",
organization = "Congresso Mundial da IUFRO",
abstract = "Selective logging have been occured for more than three centuries
in the Amazon and, in the past, it was made for subsistence in
lowland forests and, therefore, it was very low impact. The
intensification of logging occurred in the 1970s, mainly due to
the construction of roads, depletion of southern and southeastern
stocks, and uncontrolled exploitation. These factors led the
Amazon to the position of the world's second largest producer of
tropical timber, in which Par{\'a} and Mato Grosso the main
producing states. At Mato Grosso state, timber sector plays an
important economic role, contributing strongly to the state's
revenues and generating jobs. In this context, the present study
aimed to characterize the municipalities in the north of the state
of Mato Grosso considering their participation in the wood
production chain, according to a typology of municipalities'
influence patterns in the state's timber sector, and the profile
socioeconomic context in which they are inserted. The results
showed that there are five different patterns: 1) municipalities
with highly developed industry, 2) municipalities with primary
industries with high wood processing capacity, 3) municipalities
with industries with low processing capacity and high lumber
stock, 4) few lumber and small timber industries, and 5)
municipalities with virtually no logging and poor-quality stock.
Regarding the socioeconomic characterization, the results showed
that the municipalities with high industrialization have the
highest indicators analyzed.",
conference-location = "Curitiba, PR",
conference-year = "29 set. - 05 out.",
language = "en",
urlaccessdate = "01 maio 2024"
}