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Cen?rios de ?reas degradadas em recupera??o na FLONA do Jamari/ROBOOTH, Micael Cortopassi 22 February 2017 (has links)
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Previous issue date: 2017-02-22 / CAPES / 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. / A utiliza??o de geotecnologias auxilia no acompanhamento e quantifica??o do desenvolvimento e modifica??o da paisagem. A regi?o Amaz?nica tem alta diversidade e riqueza vegetal e ? nesse bioma que est? a ?rea de estudo, na Florestal Nacional do Jamari, uma Unidade de Conserva??o de uso m?ltiplo. Nessa FLONA h? oito minas sob um PRAD pois houve desde a d?cada de 1960 a explora??o e lavra de cassiterita para obten??o de estanho. A abertura de cavas para a explora??o ? feita a c?u aberto, realizada de forma quase toda mec?nica, ficando o ambiente ao final muito degradado e sua restaura??o demanda recursos e tempo. De modo geral, a recupera??o da paisagem de uma ?rea de lavra ? feita com o uso de plantio de esp?cies heterogenias do mesmo bioma, visando recobrir o solo e induzir a regenera??o natural. Nas ?reas de minas o tipo de substrato influencia no desenvolvimento e fixa??o das esp?cies vegetais na ?rea. Os objetivos foram mapear a cobertura do solo, a cria??o de cen?rios futuros de revegeta??o usando um programa de predi??o. Nestas minas foram mapeados os tipos de substratos que s?o classificadas em piso de lavra (PL), rejeito seco (RS), rejeito ?mido (RU), rejeito capeado e washing plant (WP). Utilizando quatro imagens de alta resolu??o espacial dos anos 2009, 2011, 2013 e 2015, foram classificados as tipologias solo exposto, campo sujo, capoeira, vegeta??o rala, intermedi?ria, densa. As ?reas ocupadas por cada tipologia, para cada um dos anos estudados nas minas foram comparados visando quantificar as ?reas convertidas de solo exposto em ?reas vegetadas e a din?mica da cobertura vegetal presente. Cen?rios futuros para os anos de 2020 a 2065 foram modelados utilizando o Din?mica-EGO, programa utilizado para simula??o e predi??o de ambientes naturais em especial desmatamento. A valida??o dos mapas gerados foi feita utilizando similaridade fuzzy. Os resultados obtidos para os cen?rios futuros foram em similares ao observado e a din?mica das cinco tipologias utilizadas evolu?ram de forma condizente com o observado, tendo algumas minas melhor desenvolvimento em um menor tempo de acordo com o tipo de substrato e idade dos plantios.
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