MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL

Detalhes bibliográficos
Autor(a) principal: Ribeiro Rodrigues Neto, Manoel
Data de Publicação: 2023
Outros Autores: Felícia Marujo Ferreira, Marta, Gustavo Messias, Cassiano
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Geographia (Niterói. Online)
Texto Completo: https://periodicos.uff.br/geographia/article/view/51506
Resumo: The Serra da Boa Esperança National Park (SBENP) is a Conservation Unit (CU) created to ensure the preservation of the local mountain range ecosystem, but which suffers from anthropic pressures that may lead to environmental problems, such as soil degradation. In this regard, the aim of this paper was to map and analyse Environmental Fragility (EF) to occurrence of erosive processes in that park, located in the city of Boa Esperança, Minas Gerais state, Brazil. The methodology applied in this paper was developed by Garofalo and Ferreira (2015) and employs geospatial analysis techniques in a geographic information system (GIS). The EF map was generated by the conjunction of geoenvironmental variables, of which weights were assigned and estimated based on their association with the occurrence of erosive processes. These weights were calculated using the Kolmogorov-Smirnov statistical teste. The results demonstrated that the areas of highest EF are located in the highest levels of the Serra da Boa Esperança in the central sector of the SBENP, where the sources of Águas Verdes river basin are also situated. As for the areas with lower EF value, they are placed in the front of the Serra da Boa Esperança, Southern portion of the SBENP, and in the Verde river basin. The highest values of EF in the SBENP are related to sparse vegetal cover and areas of high concentration of roads, therefore, we recommend that measures be taken to cease conflicting activities in order to avoid the acceleration of erosion processes.
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spelling MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZILMAPEO DE LA FRAGILIDAD AMBIENTAL CON RELACIÓN A LOS PROCESOS EROSIVOS EN EL PARQUE ESTATAL SERRA DA BOA ESPERANÇA (MG), BRASILMAPEAMENTO DA FRAGILIDADE AMBIENTAL A PROCESSOS EROSIVOS NO PARQUE ESTADUAL SERRA DA BOA ESPERANÇA (MG), BRASILGeografia FísicaFragilidade AmbientalKolmogorov-SmirnovLógica FuzzyProcessos erosivosPhysical GeographyEnvironmental FragilityKolmogorov-SmirnovFuzzy LogicErosive ProcessesGeografía Física.Modelo GeoespacialKolmogorov-SmirnovLógica FuzzyerosiónThe Serra da Boa Esperança National Park (SBENP) is a Conservation Unit (CU) created to ensure the preservation of the local mountain range ecosystem, but which suffers from anthropic pressures that may lead to environmental problems, such as soil degradation. In this regard, the aim of this paper was to map and analyse Environmental Fragility (EF) to occurrence of erosive processes in that park, located in the city of Boa Esperança, Minas Gerais state, Brazil. The methodology applied in this paper was developed by Garofalo and Ferreira (2015) and employs geospatial analysis techniques in a geographic information system (GIS). The EF map was generated by the conjunction of geoenvironmental variables, of which weights were assigned and estimated based on their association with the occurrence of erosive processes. These weights were calculated using the Kolmogorov-Smirnov statistical teste. The results demonstrated that the areas of highest EF are located in the highest levels of the Serra da Boa Esperança in the central sector of the SBENP, where the sources of Águas Verdes river basin are also situated. As for the areas with lower EF value, they are placed in the front of the Serra da Boa Esperança, Southern portion of the SBENP, and in the Verde river basin. The highest values of EF in the SBENP are related to sparse vegetal cover and areas of high concentration of roads, therefore, we recommend that measures be taken to cease conflicting activities in order to avoid the acceleration of erosion processes.El Parque Estatal Serra da Boa Esperança (PESBE) es una Unidad de Conservación (UC) creada para garantizar la preservación del ecosistema montañoso local, pero sufre con presiones antrópicas que pueden culminar en problemas ambientales, como la degradación del suelo. En este sentido, el objetivo de este artículo fue mapear y analizar la Fragilidad Ambiental (FA) con relación a la ocurrencia de procesos de erosión en el parque ubicado en el municipio de Boa Esperança, Minas Gerais, Brasil. La metodología utilizada fue desarrollada por Garofalo y Ferreira (2015) y emplea técnicas de análisis geoespacial en un sistema de información geográfica (SIG). El mapa de FA se generó a partir de la combinación de variables geoambientales, a las que se les atribuyó pesos estimados en función de su asociación con la ocurrencia de procesos erosivos. Estos se calcularon utilizando la prueba estadística Kolmogorov-Smirnov. Los resultados mostraron que las áreas con mayor FA están ubicadas en los niveles más altos de la Serra da Boa Esperança en el sector central del parque, donde también se encuentran las fuentes de agua del río Águas Verdes. Los índices más bajos de FA se identificaron predominantemente en Serra da Boa Esperança en la parte Sur de la UC y en la cuenca del río Verde. Se concluye que los niveles altos de FA están fuertemente relacionados con la baja densidad de cobertura vegetal y la alta densidad de vías de circulación, así que se recomienda tomar medidas para cesar las actividades conflictivas a fin de evitar la aceleración de los procesos erosivos.O Parque Estadual Serra da Boa Esperança (PESBE) é uma Unidade de Conservação (UC) criada para garantir a preservação do ecossistema serrano local, mas que sofre pressões antrópicas que podem culminar em problemas ambientais, como a degradação do solo. Nesse sentido, o objetivo deste artigo foi mapear e analisar a Fragilidade Ambiental (FA) à ocorrência de processos erosivos no parque, localizado no município de Boa Esperança, Minas Gerais, Brasil. A metodologia utilizada foi desenvolvida por Garofalo e Ferreira (2015) e emprega técnicas de análise geoespacial em sistema de informação geográfica (SIG). O mapa de FA foi gerado por meio da combinação de variáveis geoambientais, às quais se atribuíram pesos estimados a partir de sua associação com a ocorrência de processos erosivos. Esses pesos foram calculados por meio do teste estatístico Kolmogorov-Smirnov. Os resultados demonstraram que as áreas com maior FA estão localizadas nos níveis mais altos da Serra da Boa Esperança, no setor central do parque, onde também estão localizadas as nascentes do ribeirão Águas Verdes. Já os menores índices de FA foram identificados predominantemente no front da Serra da Boa Esperança na porção Sul da UC e na bacia do ribeirão Verde. Conclui-se que valores elevados de FA estão fortemente relacionados à baixa densidade de cobertura vegetal e à alta densidade de vias de circulação e, portanto, recomenda-se que sejam tomadas medidas para cessar as atividades conflitantes visando evitar a aceleração de processos erosivos.UFF2023-09-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfhttps://periodicos.uff.br/geographia/article/view/5150610.22409/GEOgraphia2023.v25i55.a51506GEOgraphia; Vol. 25 No. 55 (2023): jul./dez.GEOgraphia; Vol. 25 Núm. 55 (2023): jul./dez.GEOgraphia; v. 25 n. 55 (2023): jul./dez.2674-81261517-779310.22409/GEOgraphia2023.v25i55reponame:Revista Geographia (Niterói. Online)instname:Universidade Federal Fluminense (UFF)instacron:UFFporhttps://periodicos.uff.br/geographia/article/view/51506/35012https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRibeiro Rodrigues Neto, ManoelFelícia Marujo Ferreira, MartaGustavo Messias, Cassiano 2023-07-19T17:27:23Zoai:ojs.pkp.sfu.ca:article/51506Revistahttps://periodicos.uff.br/geographia/indexPUBhttps://periodicos.uff.br/geographia/oaiperiodicos@proppi.uff.br ; revistageographia@gmail.com2674-81261517-7793opendoar:2023-07-19T17:27:23Revista Geographia (Niterói. Online) - Universidade Federal Fluminense (UFF)false
dc.title.none.fl_str_mv MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
MAPEO DE LA FRAGILIDAD AMBIENTAL CON RELACIÓN A LOS PROCESOS EROSIVOS EN EL PARQUE ESTATAL SERRA DA BOA ESPERANÇA (MG), BRASIL
MAPEAMENTO DA FRAGILIDADE AMBIENTAL A PROCESSOS EROSIVOS NO PARQUE ESTADUAL SERRA DA BOA ESPERANÇA (MG), BRASIL
title MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
spellingShingle MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
Ribeiro Rodrigues Neto, Manoel
Geografia Física
Fragilidade Ambiental
Kolmogorov-Smirnov
Lógica Fuzzy
Processos erosivos
Physical Geography
Environmental Fragility
Kolmogorov-Smirnov
Fuzzy Logic
Erosive Processes
Geografía Física.
Modelo Geoespacial
Kolmogorov-Smirnov
Lógica Fuzzy
erosión
title_short MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
title_full MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
title_fullStr MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
title_full_unstemmed MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
title_sort MAPPING OF ENVIRONMENTAL FRAGILITY TO EROSIVE PROCESSES IN THE SERRA DA BOA ESPERANÇA STATE PARK (MG), BRAZIL
author Ribeiro Rodrigues Neto, Manoel
author_facet Ribeiro Rodrigues Neto, Manoel
Felícia Marujo Ferreira, Marta
Gustavo Messias, Cassiano
author_role author
author2 Felícia Marujo Ferreira, Marta
Gustavo Messias, Cassiano
author2_role author
author
dc.contributor.author.fl_str_mv Ribeiro Rodrigues Neto, Manoel
Felícia Marujo Ferreira, Marta
Gustavo Messias, Cassiano
dc.subject.por.fl_str_mv Geografia Física
Fragilidade Ambiental
Kolmogorov-Smirnov
Lógica Fuzzy
Processos erosivos
Physical Geography
Environmental Fragility
Kolmogorov-Smirnov
Fuzzy Logic
Erosive Processes
Geografía Física.
Modelo Geoespacial
Kolmogorov-Smirnov
Lógica Fuzzy
erosión
topic Geografia Física
Fragilidade Ambiental
Kolmogorov-Smirnov
Lógica Fuzzy
Processos erosivos
Physical Geography
Environmental Fragility
Kolmogorov-Smirnov
Fuzzy Logic
Erosive Processes
Geografía Física.
Modelo Geoespacial
Kolmogorov-Smirnov
Lógica Fuzzy
erosión
description The Serra da Boa Esperança National Park (SBENP) is a Conservation Unit (CU) created to ensure the preservation of the local mountain range ecosystem, but which suffers from anthropic pressures that may lead to environmental problems, such as soil degradation. In this regard, the aim of this paper was to map and analyse Environmental Fragility (EF) to occurrence of erosive processes in that park, located in the city of Boa Esperança, Minas Gerais state, Brazil. The methodology applied in this paper was developed by Garofalo and Ferreira (2015) and employs geospatial analysis techniques in a geographic information system (GIS). The EF map was generated by the conjunction of geoenvironmental variables, of which weights were assigned and estimated based on their association with the occurrence of erosive processes. These weights were calculated using the Kolmogorov-Smirnov statistical teste. The results demonstrated that the areas of highest EF are located in the highest levels of the Serra da Boa Esperança in the central sector of the SBENP, where the sources of Águas Verdes river basin are also situated. As for the areas with lower EF value, they are placed in the front of the Serra da Boa Esperança, Southern portion of the SBENP, and in the Verde river basin. The highest values of EF in the SBENP are related to sparse vegetal cover and areas of high concentration of roads, therefore, we recommend that measures be taken to cease conflicting activities in order to avoid the acceleration of erosion processes.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos Pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uff.br/geographia/article/view/51506
10.22409/GEOgraphia2023.v25i55.a51506
url https://periodicos.uff.br/geographia/article/view/51506
identifier_str_mv 10.22409/GEOgraphia2023.v25i55.a51506
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uff.br/geographia/article/view/51506/35012
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 UFF
publisher.none.fl_str_mv UFF
dc.source.none.fl_str_mv GEOgraphia; Vol. 25 No. 55 (2023): jul./dez.
GEOgraphia; Vol. 25 Núm. 55 (2023): jul./dez.
GEOgraphia; v. 25 n. 55 (2023): jul./dez.
2674-8126
1517-7793
10.22409/GEOgraphia2023.v25i55
reponame:Revista Geographia (Niterói. Online)
instname:Universidade Federal Fluminense (UFF)
instacron:UFF
instname_str Universidade Federal Fluminense (UFF)
instacron_str UFF
institution UFF
reponame_str Revista Geographia (Niterói. Online)
collection Revista Geographia (Niterói. Online)
repository.name.fl_str_mv Revista Geographia (Niterói. Online) - Universidade Federal Fluminense (UFF)
repository.mail.fl_str_mv periodicos@proppi.uff.br ; revistageographia@gmail.com
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