Cen?rios de ?reas degradadas em recupera??o na FLONA do Jamari/RO

• Ano de defesa: 2017
• Autor(a) principal: Booth, Micael Cortopassi
• Orientador(a): Francelino, M?rcio Rocha
• Banca de defesa: Francelino, M?rcio Rocha, Silva, Eduardo Vinicius da, Debiasi, Paula, Carvalho Junior, Waldir
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal Rural do Rio de Janeiro
• Programa de Pós-Graduação: Programa de P?s-Gradua??o em Ci?ncias Ambientais e Florestais
• Departamento: Instituto de Florestas
• País: Brasil
• Palavras-chave em Português: PRAD; modelagem vegetal; Din?mica-EGO; cen?rios futuros; minera??o
• Palavras-chave em Inglês: forest modeling; futures scenes; mining
• Área do conhecimento CNPq: Ecologia
• Link de acesso: https://tede.ufrrj.br/jspui/handle/jspui/2232

The use of geotechnologies assists in the monitoring and quantification of the development and modification of the landscape. The Amazon region has high diversity and plant richness and it is in this biome that is the study area, in the National Forest of Jamari, is a Conservation Unit of Multiple Use. In this FLONA there are eight mines under a PRAD because there has been since the 1960s the exploration and mining of cassiterite to obtain tin. The opening of cavas for the exploration is done in the open, performed almost mechanically, leaving the environment at the end very degraded and its restoration demands resources and time. In general, the recovery of the landscape of an area of cultivation is done with the use of planting heterogenous species of the same biome, aiming to cover the soil and induce natural regeneration. In the areas of mines the type of substrate influences in the development and fixation of the vegetal species in the area. The objectives were to map the soil cover, the creation of future scenarios of revegetation using a prediction program. In these mines the types of substrates that were classified in tillage (PL), dry tail (RS), wet tail (RU), washed tail and washing plant (WP) were mapped. Using four high spatial resolution images of the years 2009, 2011, 2013 and 2015, the typologies were classified as soil exposed, field dirty, capoeira, vegetation thin, intermediate, dense. The areas occupied by each typology for each of the years studied in the mines were compared in order to quantify the converted areas of exposed soil in vegetated areas and the dynamics of the present vegetation cover. Future scenarios for the years 2020 to 2065 were modeled using the Dinamica-EGO, a program used for simulation and prediction of natural environments in particular deforestation. The validation of the generated maps was done using fuzzy similarity. The results obtained for the future scenarios were similar to those observed and the dynamics of the five typologies used evolved in a manner consistent with that observed, with some mines having a better development in a shorter time according to the type of substrate and age of the plantations.