Agrofuel policies in Brazil: paradigmatic and territorial disputes

The expansion of agrofuel crops challenges us to rethink policies, territories, human agency, and the paradigms used to explain them. In Brazil, policies supporting the expansion of agrofuel crops and the intensification of agrofuel production are reorganising rural land use and undermining some forms of participation in the capitalist and family modes of production. To reflect on this new reality, we study peasant movement reactions, proposals, and territorial disputes with agribusiness. Using the Pontal do Paranapanema region of São Paulo state as a case in point, the paper analyses territorial disputes between expanding sugarcane plantations and agrarian reform settlements as well as biodiesel production projects developed by the Landless Workers Movement (MST) and the Western São Paulo Federation of Settlement and Family Farmer Associations (FAAFOP). It also analyses the agrofuel policies of other peasant organisations, including Via Campesina. The production of agrofuels has changed the processes of land acquisition and use by both agribusiness and the peasantry, provoking new insights into the nature of territorial conflicts and thereby stimulating the need to revise perspectives on the agrarian question in Brazil.

TERRITORIAL DISPUTES, LABOUR RELATIONS and ENVIRONMENTAL HEALTH IN AGROHIDRONEGOCIO sugarcane IN THE PONTAL PARANAPANEMA (SP)

This research aims to analyze the conflict over land in Postal do Paranapanema (state of São Paulo, Brazil), considering the competition for water resources and the degradation of environmental health in the area called the agrohidronegocio sugarcane. The survey results indicate that the expansion of sugarcane cultivation in this region is causing the worsening health of workers. Moreover, the research also seeks to identify alternative models to the hegemonic project of regional development based on matrix agrohidroenergetica. For this, the research has as interlocutors various types of social movements such as the Landless Workers Movement and the Movement of Dam Affected, and union leaders.

Aglomeração urbana de Londrina: integração territorial e intensificação de fluxos

Pós-graduação em Geografia - FCT

Competitividade territorial do etanol

Pós-graduação em Geografia - IGCE

Dinâmica territorial do trabalho domiciliar das mulheres em Terra Roxa/PR

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Dinâmica territorial, atividade industrial e cidade média: as interações espaciais e os circuitos espaciais da produção das indústrias alimentícias de consumo final instaladas na cidade de Marília – SP

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Reordenamento territorial e produtivo do agronegócio canavieiro no Brasil e os desdobramentos para o trabalho

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Transformando Terra em Território: construção e dinâmica do sistema local territorial agroecológico em Francisco Beltrão, Paraná

Pós-graduação em Geografia - FCT

A importância da educação profissional na modalidade de educação a distância para o desenvolvimento territorial

Pós-graduação em Geografia - IGCE

Políticas de desenvolvimento regional-territorial e governança: uma análise recente sobre o Estado do Maranhão (Brasil)

Pós-graduação em Geografia - IGCE

Cryptic lineages and Pleistocene population expansion in a Brazilian Cerrado frog

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Avaliação do potencial das imagens quickbird ortorretificadas para o mapeamento das propriedades localizadas na área de expansão e vazios urbanos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Transmission system expansion planning by an extended genetic algorithm

The paper presents an extended genetic algorithm for solving the optimal transmission network expansion planning problem. Two main improvements have been introduced in the genetic algorithm: (a) initial population obtained by conventional optimisation based methods; (b) mutation approach inspired in the simulated annealing technique, the proposed method is general in the sense that it does not assume any particular property of the problem being solved, such as linearity or convexity. Excellent performance is reported in the test results section of the paper for a difficult large-scale real-life problem: a substantial reduction in investment costs has been obtained with regard to previous solutions obtained via conventional optimisation methods and simulated annealing algorithms; statistical comparison procedures have been employed in benchmarking different versions of the genetic algorithm and simulated annealing methods.

Multistage and coordinated planning of the expansion of transmission systems

In this paper, an efficient genetic algorithm (GA) is presented to solve the problem of multistage and coordinated transmission expansion planning. This is a mixed integer nonlinear programming problem, difficult for systems of medium and large size and high complexity. The GA presented has a set of specialized genetic operators and an efficient form of generation of the initial population that finds high quality suboptimal topologies for large size and high complexity systems. In these systems, multistage and coordinated planning present a lower investment than static planning. Tests results are shown in one medium complexity system and one large size high complexity system.

Efficient method for AC transmission network expansion planning

A combinatorial mathematical model in tandem with a metaheuristic technique for solving transmission network expansion planning (TNEP) using an AC model associated with reactive power planning (RPP) is presented in this paper. AC-TNEP is handled through a prior DC model while additional lines as well as VAr-plants are used as reinforcements to cope with real network requirements. The solution of the reinforcement stage can be obtained by assuming all reactive demands are supplied locally to achieve a solution for AC-TNEP and by neglecting the local reactive sources, a reactive power planning (RPP) will be managed to find the minimum required reactive power sources. Binary GA as well as a real genetic algorithm (RCA) are employed as metaheuristic optimization techniques for solving this combinatorial TNEP as well as the RPP problem. High quality results related with lower investment costs through case studies on test systems show the usefulness of the proposal when working directly with the AC model in transmission network expansion planning, instead of relaxed models. (C) 2010 Elsevier B.V. All rights reserved.