Analysis of quantitative methods for geodiversity in Chapada Diamantina, Bahia, Brazil



Título del documento: Analysis of quantitative methods for geodiversity in Chapada Diamantina, Bahia, Brazil
Revista: Boletim de ciencias geodesicas
Base de datos: PERIÓDICA
Número de sistema: 000456761
ISSN: 1413-4853
Autors: 1
1
2
Institucions: 1Universidade Estadual de Feira de Santana, Programa de Pos-Graduacao em Modelagem em Ciencia da Terra e do Ambiente, Feira de Santana, Bahia. Brasil
2Universidade Federal de Ouro Preto, Departamento de Geologia, Ouro Preto, Minas Gerais. Brasil
Any:
Volum: 28
Número: 3
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés The concept of geodiversity has been developed by geoscientists since 1990 in different lines of research such as territorial and patrimonial planning, tourism and the dissemination of knowledge. However, little progress has been made in mapping and quantifying geodiversity. Thus, there are still gaps about the functionality of these graphics products. In order to contribute to these discussions, the aim of this research was to evaluate geodiversity quantification models in Chapada Diamantina National Park and municipality of Morro do Chapéu. The methods Serrano and Ruiz - Flaño and Pereira et al. were chosen for comparison. After choosing the criteria to compare as the choice of variables pertaining to each method, data processing was performed in a geographic information system. Maps with geodiversity indexes and frequency charts were generated. Finally, these products were analyzed using statistical methods and evaluated in the field. In both proposals for quantifying geodiversity, methodological limitations were found, which interfere with the purpose for which the index was created
Disciplines Geociencias,
Biología
Paraules clau: Geología,
Medio ambiente,
Indice de Geodiversidad,
Modelos en geociencias,
Cuantificación del paisaje,
Brasil
Keyword: Geology,
Environment,
Geodiversity index,
Models in the Geosciences,
Landscape quantification,
Brazil
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