Índice de Sustentabilidade Ecoambiental de sub-bacias hidrográficas (ISE-sb) : para a gestão do alto rio Paraná, Brasil.

• Autor(a) principal: Tomadon, Leonardo da Silva
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
• Texto Completo: http://repositorio.uem.br:8080/jspui/handle/1/6537
• topic: Bacias hidrográficas; Conservação e preservação; Sustentabilidade; Biomonitoramento; Ictiofauna; Monitoramento; Indicadores ambientais; Manejo; Alto rio Paraná; CNPQ::CIENCIAS BIOLOGICAS; CNPQ::CIENCIAS BIOLOGICAS::ECOLOGIA

The assessment of sustainable development in sub-watersheds plays a central role in rationalizing the decisions taken. A promising form of average indicators of this development is through indicators, and when many are used, they are usually aggregated into indices, which provide a simplified and multidimensional view of the system under analysis. Several sustainability indices for watersheds are proposed in the literature. However, incorporation of extraordinary indicators, that biodiversity, a gap is still a major upgrade. Therefore, the use of biodiversity indicators as representative of the environmental dimension constitutes an advance on the indices presented in the literature recently. The objective was to evaluate the sustainability gradient in the hydrographic basins of the Upper Paraná River, through an eco-environmental sustainability index of hydrographic sub-basins (ISE-sb) that incorporates protected ecological. For this purpose, the indicators selected based on the propositions of Agenda 2030 were identified in four dimensions of sustainability, economic, economic, environmental and thought through a process of sustainability: normal and social. Then, the importance of the indicators was considered, using the multi-criteria analysis based on the Hierarchical Process Analysis (HP) method. The ISE-sb was calculated by means of the weighted media between the sub-indices that represent as dimensions. Finally, we apply the Gi* statistic to identify hotspots and coldspots. The results show that among the dimensions of sustainability, the highest was the one that presented a positive amount of low values. The regions located in the eastern portion, or serra do mar, southern portion, and the Federal District formed sustainability hotspots, while the sub-basins located in the states of Goiás, Mato Grosso do Sul and Minas Gerais formed the sustainability coldposts. A sustainable spatial planning of the hydrographic sub-basins is recommended, adopting cold areas as priorities for sustainability. It highlights the main methodological limitation, a potential reproducibility of the tool in other spaces.