Geodiversity: some considerations about quantification and evaluation of spatial distribution

• Autor(a) principal: Manosso, Fernando César
• Data de Publicação: 2012
• Outros Autores: Ondicol, Ramón Pellitero
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Anuário do Instituto de Geociências (Online)
• Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/6914

The geodiversity term has been used to attend the needs of geosciences researchers to refer the complex's physical landscape, covering the abiotic elements such as rocks, landforms, soils and rivers, for example, configured as an analogue to the biodiversity term. The various components of geodiversity and biodiversity, combined, make up different physical environments, which allow a quantitative analysis of space, wealth and abundance. This paper aims to identify the main aspects of convergence between the geodiversity and biodiversity, paying attention to the relationships sample in each case, spatial distribution, richness of diversity and the relationship between rate of geodiversity and geological heritage. By establishing general guidelines on the quantitative interpretation of geodiversity and biodiversity, it is clear that both use a pre-defined spatial area. Biodiversity is generally based on sampling units of several sizes due to the impossibility of direct quantification of diversity in all area. In the case of geodiversity is necessary to establish a maximum and minimum scale of assessment, and based on this scale of reference, establish a spatial distribution of elements through the mapping (geological, geomorphological and pedological) and instrumental tool. The quantitative assessment of geodiversity, whose methods are still being evaluated, can supports a better understanding of the physical environment and can also provides results for the identification and assessment of geological, geomorphological and paleontological heritage. However, it is necessary to know that the diversity of life or abiotic elements of an environment represents a very complex context and therefore must be understood beyond a mere numerical index that spatializes the diversity of the constituent parts of the whole.