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

Detalhes bibliográficos
Autor(a) principal: Souza, Fabiano Vieira de
Data de Publicação: 2023
Outros Autores: Ruchkysa, Úrsula de Azevedo, Fonseca, Bráulio Magalhães, Lobo, Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Sociedade & natureza (Online)
Texto Completo: https://seer.ufu.br/index.php/sociedadenatureza/article/view/68709
Resumo: 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.
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spelling Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of BrazilGeodiversityGeostatisticsQuantificationRelief rugosityThe 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.Universidade Federal de Uberlândia2023-08-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/6870910.14393/SN-v35-2023-68709Sociedade & Natureza; Vol. 35 No. 1 (2023): Sociedade & Natureza; v. 35 n. 1 (2023): 1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/68709/36660Copyright (c) 2022 Fabiano Vieira de Souza, Úrsula de Azevedo Ruchkysa, Bráulio Magalhães Fonseca, Carlos Lobohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSouza, Fabiano Vieira deRuchkysa, Úrsula de AzevedoFonseca, Bráulio MagalhãesLobo, Carlos2023-08-25T14:35:58Zoai:ojs.www.seer.ufu.br:article/68709Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2023-08-25T14:35:58Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
title Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
spellingShingle Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
Souza, Fabiano Vieira de
Geodiversity
Geostatistics
Quantification
Relief rugosity
title_short Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
title_full Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
title_fullStr Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
title_full_unstemmed Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
title_sort Relief Dissection Potential and its Relationship with Geodiversity in a Karstic Region of Brazil
author Souza, Fabiano Vieira de
author_facet Souza, Fabiano Vieira de
Ruchkysa, Úrsula de Azevedo
Fonseca, Bráulio Magalhães
Lobo, Carlos
author_role author
author2 Ruchkysa, Úrsula de Azevedo
Fonseca, Bráulio Magalhães
Lobo, Carlos
author2_role author
author
author
dc.contributor.author.fl_str_mv Souza, Fabiano Vieira de
Ruchkysa, Úrsula de Azevedo
Fonseca, Bráulio Magalhães
Lobo, Carlos
dc.subject.por.fl_str_mv Geodiversity
Geostatistics
Quantification
Relief rugosity
topic Geodiversity
Geostatistics
Quantification
Relief rugosity
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/68709
10.14393/SN-v35-2023-68709
url https://seer.ufu.br/index.php/sociedadenatureza/article/view/68709
identifier_str_mv 10.14393/SN-v35-2023-68709
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/sociedadenatureza/article/view/68709/36660
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Sociedade & Natureza; Vol. 35 No. 1 (2023):
Sociedade & Natureza; v. 35 n. 1 (2023):
1982-4513
0103-1570
reponame:Sociedade & natureza (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Sociedade & natureza (Online)
collection Sociedade & natureza (Online)
repository.name.fl_str_mv Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv ||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br
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