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Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil

Bibliographic Data

ID4331629
AuthorsFabiano Vieira De Souza (0000-0002-8995-0103), F V D Souza (Universidade Federal de Minas Gerais), Úrsula Ruchkys De Azevedo (0000-0002-4708-2897, Universidade Federal de Minas Gerais), Úrsula De Azevedo Ruchkysa, Bráulio Magalhães Fonseca (0000-0002-2282-8568, Universidade Federal de Minas Gerais), Carlos Fernando Ferreira Lobo (0000-0002-5368-8879, Universidade Federal de Minas Gerais), Carlos Lobo (0000-0002-9844-8107)
Year2023
Volume35
Issue1
Publication date2023-08-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociedade & natureza (JOURNAL)
Journal identifiersISSN: 0103-1570 • E-ISSN: 1982-4513
PublisherEDUFU - Editora da Universidade Federal de Uberlandia (PUBLISHER)
DOI10.14393/sn-v35-2023-68709
OpenAlexW4385768421
LanguageEN
References cited6

The quantification of abiotic features is a process in Geodiversity focused studies to indicate priority areas for conservation. Although some quantification methods are in use, doubts remain as to their applicability, particularly the relationship between coefficients of geodiversity and rugosity. In this perspective, this study proposes to analyze this relationship through the geostatistical models of Local Moran's I and Geographically Weighted Regression (GWR), applied in sub-basins of one of the most important karstic regions in Brazil. To simulate the rugosity coefficient, the Global Relief Dissection Index was used, which consists of a combination of morphometric indices that enable the estimation of a given region's power of dissection. The application of Local Moran's I showed geodiversity and relief dissection potential behavior patterns, demonstrating that the variables have spatial dependence and are correlated at certain points. The application of GWR was successful, although the model was not able to explain the regional relationship between the coefficients of geodiversity and relief dissection. Nevertheless, it enabled local analysis of different behaviors through the spatialization of local R2 and residuals. It can be inferred that there are other variables that interfere in the local geodiversity, especially, for being a geosystem with characteristics specific

Biodiversity · Cartography · Geodiversity · Geography · Geoprocessing · Geostatistics · Habitat · Karst · Rugosity · Spatial variability · Statistics · Ecology · Geochemistry and Geologic Mapping · Geography and Environmental Studies · Mathematics · Soil Geostatistics and Mapping

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    Rafał Kot•Geografisk Tidsskrift-Danish…•2018

Citation velocityhistorical
Highly citedNo

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