O município de São Félix do Xingu faz parte do modelo de desenvolvimento da região amazônica baseado em grandes desmatamentos causados por atividades como pecuária e agricultura, além de ameaças que acabam incentivando esse processo, como os assentamentos e rodovias. Essas modificações de extensas áreas de florestas acabam por fragmentar a paisagem natural interferindo na manutenção da biodiversidade. Desse modo, como forma de auxiliar os gestores na implantação de ações de conservação, objetivou-se através deste estudo identificar áreas prioritárias para conservação florestal em uma região do município de São Félix do Xingu – PA. O estudo compreendeu uma análise multicriterial, em que se utilizou o Método de Processo Analítico Hierárquico (AHP); e como forma de auxiliar na definição dos critérios, foram utilizados os princípios de representatividade, vulnerabilidade e eficiência, do método de Planejamento Sistemático da Conservação (PSC). Os resultados obtidos mostram que os critérios que tiveram maior influência na priorização de áreas foram os fragmentos florestais com maior quantidade de Áreas de Preservação Permanente (APPs), tamanho dos fragmentos, fragmentos florestais com maior quantidade de Áreas de Reserva Legal (ARLs), assentamentos/estradas, conectividade e unidades fitogeomorfológicas, respectivamente. O mapa final de prioridades mostrou que as áreas maiores se encontraram mais conectadas com outras áreas e obtiveram uma maior prioridade por englobarem uma maior variedade de unidades fitogeomorfológicas, APPs e um maior número de propriedades com ARL remanescente. Áreas com uma menor quantidade de estradas e não englobadas por assentamentos foram igualmente mais prioritárias. Multicriteria analysis in the definition of priority areas for forest conservation in São Félix do Xingu – PAA B S T R A C TThe municipality of São Félix do Xingu is part of the development program of the Amazon region, with emphasis on large deforestation caused by activities such as cattle ranching and agriculture, as well as other threats such as settlements and highways. These modifications of extensive areas of forests turn out to be a natural landscape interfering in the maintenance of the biodiversity. In this way, it was objectified through a series of reflections on the priority areas for the forest storage in a region of the municipality of São Félix do Xingu - PA. The study comprised a multicriterial analysis, in which it used the Hierarchical Analytical Process Method (AHP); and, as a way of helping to define the criteria, the principles of the Systematic Conservation Method (SCM) were used. The comparative results were those that showed the greatest influence in the prioritization of plots with a greater number of Permanent Preservation Areas (PPAs), size of fragments, forest fragments with more Legal Reserve Areas (LRAs), settlements / roads, connectivity and phytogeomorphological units, respectively.Key-words: Conservation, Systematic conservation planning, Priority areas.
The Amazon has been jointly glimpsed as a space where a wide range of differences emerge, both within and outside the region. Establishing ways to measure these diversities through the prism of the quality of life and well-being of their populations is an urgent initiative to be satisfied. Thus, this article presents the application of the PICOC methodology for mapping the indicators from the actions that represent the quality of life and welfare of the population of the Brazilian Amazon. A systematic mapping was carried out in five scientific databases in order to map works published in the period from 2017 to 2021. As results, 31 indices related to quality of life and well-being were found arranged in the dimensions of environment, health, education, governance, social programs, and income. The dimensions of environment, health, education, governance, and social programs and income are the main recurrences. The findings allowed as contributions: (i) quantify and qualify the works, listing their sources, year of publication, area of application and repository of origin; (ii) identify the most recurrent dimensions of the indicators found; (iii) relate the indexes to the quantities of dimensions that compose them.
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