The rigth place to be. Family arrangements, spatial distribution and environment at a paraense Amazonian region.

• Grant number: 11/06034-9
• Support type: Scholarships in Brazil - Doctorate
• Effective date (Start): July 01, 2011
• Effective date (End): May 31, 2014
• Field of knowledge: Applied Social Sciences - Demography
• Principal researcher: Roberto Luiz Do Carmo
• Grantee: Thais Tartalha Do Nascimento Lombardi
• Home Institution: Instituto de Filosofia e Ciências Humanas (IFCH). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The project presented here has its goal on the comprehension of the population and environment relation at Altamira and Brasil Novo (Pará state) in Brazilian Amazon. In particular, the aim is to understand how aspects of the population dynamics, notably mobility and family arranges, impact environment. To fulfill that aim we propose two line of inquiry. One focusing on mobility and family arrange and other on land use and land cover change at urban and rural areas. Both at the two municipalities, thinking about the implications of them on the analyses elaborated about local reality. The reason to choose those lines of inquiry is based on recent debates about Amazonian population dynamics and also population and environment studies that has been aiming about the importance of reflecting upon where, how and why of people way (and where) of living, and how that interact with environmental aspects. That's because the truly understanding of that interaction is vital to the promotion of actions and polices developed on the search of meeting population needs, and environment balance. Data choosed for that will be taken from Brazilian Censos and "Deforestation and the structure of households" research project database. Also as analytical methodology we propose a combination of quantitative and qualitative methods: Using the research project questionnaires to built individual trajectories and from theirs rebuilt local dynamics; reflecting upon the changes on uses and occupations of urban and rural areas and its repercussion; and finally observing its impacts on data collecting and spatial distribution of population analyses.