Modelagem matemática para seleção de áreas prioritárias para conservação [manuscrito]: métodos, cenários e contribuições para a gestão territorial em Goiás

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2009-03-22

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Universidade Federal de Goiás

Resumo

The efforts to minimize the growing loss of habitats and threatens to biodiversity are increasingly based on objective criteria, which allow prioritize areas and species in need of preservation, taking into account the limitations in both natural and economic resources. These criteria are fundamental for the reserve selection and design, mainly at regions severely affected by land use intensification. In particular, the use of mathematical modeling, enabling the identification of more efficient alternatives, is an important subsidy to conservation challenge. Specifically, in this dissertation we present a new approach for the selection of priority areas for conservation, which considers both the quality and ecological feasibility of the remnant vegetation in the Cerrado areas of the State of Goiás, as well as the practical and legal aspects regarding the use of watersheds for territorial management. This proposal, based on a non-linear mathematical model, allows the parameters to vary according to the socialeconomical and environmental interests, thus generating distinct solutions and scenarios. Among the possible outcomes, we highlight as an "optimum" solution, the one with a large number remnant vegetation areas within riparian environments, which serves the purpose of strengthening spatial connectivity and natural corridors. In fact, this model can be used either to promote the conservation of large remnant vegetation patches, as well as to optimize the restoration of degraded areas, mainly in riparian environments, through the generation of alternative spatial patterns aiming at a more efficient connectivity in highly converted areas

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COUTO, Maria Socorro Duarte da Silva. Mathematical molding to selection of priority areas to conservation: methods, scenarios and contributions to a territorial management in Goiás. 2009. 156 f. Tese (Doutorado em Ciências Agrárias) - Universidade Federal de Goiás, Goiânia, 2009.