No abstract

Quantitative assessment methods are attaining special attention in geodiversity research. Procedures to map geodiversity indices have been proposed by several authors though there is no consensus on how to best apply and replicate them in diverse areas. A contribution to the quantitative mapping of geodiversity using GIS tools of quantification and classification is presented. These procedures were applied in the municipality of Miguel Pereira, Rio de Janeiro, Brazil. A quantification stage is supported by the multiparts technique, in which the geodiversity elements are considered without pondering their repetition, and by the singleparts technique, where the repetitions are counted. Geodiversity is then mapped and classified according to the MOV (maximum obtained value) that considers the highest score obtained by the sum of the geodiversity sub-indices and to the MPV (maximum possible value) defined by the sum of the maximum scores in each of the geodiversity sub-indices. The maps produced according to the singleparts tools reflect a higher difference between the minimum and maximum scores of geodiversity, and using the MPV more areas are classified with low geodiversity. Fieldwork surveys support the idea that combining the multiparts technique for geodiversity quantification with the MOV to its classification is more appropriate to characterize the geodiversity of the area. Nevertheless, using different methodological approaches may generate significantly different results, what must be taken into account when considering geodiversity as a support tool in land management.

The interest in the cartographic representation of geodiversity has grown in recent years. However, the application of geodiversity maps in nature conservation and territorial management policies is still under study, especially concerning quantitative methodologies and geodiversity indices. Aiming to contribute to this topic, a set of correlation analyses were performed between quantitative and qualitative maps, as well as correlations between these and sites of geological interest, land-use, and vegetation maps using Miguel Pereira municipality, Rio de Janeiro, Brazil, as a study area. A geodiversity index map (quantitative approach) was used, and a geodiversity map (qualitative approach) was produced based on GIS procedures and tools through a counting technique and the association between landforms and, geology, soils, and hydrology, respectively. The geodiversity map showed a better correlation between geodiversity and the other nature and anthropic elements, while the quantitative assessment, although having a positive correlation with those elements, showed a weak or very weak correlation. The cartographic outputs in geodiversity units (qualitative approach) best supported this correlative analysis highlighting its use in land-use and nature conservation management. In contrast, the geodiversity index map showed complementary information and could be combined with the qualitative approach for more sustained results.