http://repositorio.ufra.edu.br/jspui/handle/123456789/26922026-02-102026-02-102013PENA, Heriberto Wagner Amanajás. Modelagem da conversão de ecossistemas no contexto da economia: uma análise aplicada no município de Moju, nordeste do estado do Pará. Orientador: Francisco de Assis Oliveira. 2013. 222f. Tese (Doutorado em Ciências Agrárias) - Universidade Federal Rural da Amazônia, Belém, 2013. Disponível em: http://repositorio.ufra.edu.br/jspui/handle/123456789/2692.https://portaldaposgraduacao.uepa.br/handle/riuepa/271Fundação Amazônia de Amparo a Estudos e Pesquisas - FAPESPAAbertoConversões ecossistêmicasAnálise multivariadaModelagem estatísticaSistema de Iinformações geográficasAtividades produtivasModelagem econométricaDesflorestamentoCondições de vidaBacias hidrográficasComunidades ruraisConversões florestaisEcosystem conversionsMultivariate analysisStatistical modelingGeographic information systemProductive activitiesTeseCiências AgráriasThe dynamics of deforestation in the state of Pará has been for decades induced by developmental public policies, and by fulfillment of a national agenda that has engendered several scenarios in the region, and let to the increase in conversions of ecosystems, the use of natural resources, population growth by migration, and the consolidation of homogeneous productive activities. The understanding ofthis occupation process through the establishment of productive dynamics was different in the state and points to many specificities, which does not allow its use for the understanding of the dynamics at a local (city) levei. Therefore, the present study analyzes the determining factors of forest conversions in the city of Moju and their effects on the living conditions in rural areas, specifically the identification of the main activities that cause deforestation, vector dimensions at local scale and the changes originated by this dynamics explain the specificities at the local (city) levei. Based on Multivariate Analysis- MA, using the Method of Principal Components (MCP), the structure ofthe factors that represent the indicators was identified, and the indicators were subsequently transformed into independent variables using Multiple Linear Regression Model- MRLM, proposed to analyze the dynamics of ecosystem conversions. A supervised analysis of SPOT satellite imagery with a resolution of 2.5 mts allowed the classification and identification of the referred factors and the establishment of the main zones of conversions. The in situ application of a questionnaire for understanding the perception of changes in the rural area prometes social discussion of the analyzed dynamics and constitutes the model for assessing transformations in rural communities. The recent deforestation in the city of Moju favors agricultural projects with participation of foreign capital and monocultures, imposing new zones for forest conversions with reduced gains and high rates of migrations between the communities.Outros