Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Revista de Geociências do Nordeste |
Texto Completo: | https://periodicos.ufrn.br/revistadoregne/article/view/33877 |
Resumo: | The study analyzed land degradation in the Submedium São Francisco basin using indices according to the FPEIR model (Force-Pressure-State-Impact-Response). For the selection of the 17 indicators, a bibliographic review and correlation analysis were carried out, the indicators were generated in grids of 5 x 5 km in the GIS QGIS through secondary and primary data. Treatment was performed to exclude outliers, followed by normalization of the indicators. Indexes were generated for each FPEIR component through the median of the indicators and maps of the indicators and indexes were prepared. The areas most vulnerable to degradation (higher values in the FPEI indices) are located mainly in the northwest, center and southeast regions of the basin. Regarding the response (higher values in the R index), the areas to the west, northwest and southeast of the basin stand out. The indicators that most influenced the FPEI indices were the Municipal Human Development Index, establishments with occupying producer, deforestation, erodibility, aridity index and degraded pastures. And in the case of the Response index, technical guidance and credit programs. Public policies and private initiatives to restore environmental quality are essential to reverse the degradation process, contributing to the sustainable management of the Caatinga. |
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Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, BrazilThe study analyzed land degradation in the Submedium São Francisco basin using indices according to the FPEIR model (Force-Pressure-State-Impact-Response). For the selection of the 17 indicators, a bibliographic review and correlation analysis were carried out, the indicators were generated in grids of 5 x 5 km in the GIS QGIS through secondary and primary data. Treatment was performed to exclude outliers, followed by normalization of the indicators. Indexes were generated for each FPEIR component through the median of the indicators and maps of the indicators and indexes were prepared. The areas most vulnerable to degradation (higher values in the FPEI indices) are located mainly in the northwest, center and southeast regions of the basin. Regarding the response (higher values in the R index), the areas to the west, northwest and southeast of the basin stand out. The indicators that most influenced the FPEI indices were the Municipal Human Development Index, establishments with occupying producer, deforestation, erodibility, aridity index and degraded pastures. And in the case of the Response index, technical guidance and credit programs. Public policies and private initiatives to restore environmental quality are essential to reverse the degradation process, contributing to the sustainable management of the Caatinga.O estudo analisou a degradação da terra na bacia do Submédio São Francisco por meio de índices segundo o modelo FPEIR (Força-Pressão-Estado-Impacto-Resposta). Para seleção dos 17 indicadores foi feita revisão bibliográfica e análise de correlação, os indicadores foram gerados em grades de 5 x 5 km no SIG QGIS através de dados secundários e primários. Foi feito um tratamento para exclusão de outliers, seguido de normalização dos indicadores. Foram gerados índices para cada componente FPEIR por meio da mediana dos indicadores e elaborados mapas dos indicadores e índices. As áreas mais vulneráveis à degradação (maiores valores nos índices FPEI) localizam-se principalmente nas regiões noroeste, centro e sudeste da bacia. Em relação à resposta (maiores valores no índice R), destacam-se as áreas a oeste, noroeste e sudeste da bacia. Os indicadores que mais influenciaram os índices FPEI foram Índice de Desenvolvimento Humano Municipal, estabelecimentos com produtor ocupante, desmatamento, erodibilidade, índice de aridez e pastagens degradadas. E no caso do índice de Resposta, a orientação técnica e programas de crédito. As políticas públicas e iniciativas particulares de restauração da qualidade ambiental são fundamentais para reverter o processo de degradação, contribuindo para o manejo sustentável da Caatinga.Universidade Federal do Rio Grande do Norte2023-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://periodicos.ufrn.br/revistadoregne/article/view/3387710.21680/2447-3359.2023v9n2ID33877Notheast Geoscience Journal; Vol. 9 No. 2 (2023); 183-202Revista de Geociências do Nordeste; v. 9 n. 2 (2023); 183-2022447-335910.21680/2447-3359.2023v9n2reponame:Revista de Geociências do Nordesteinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNporenghttps://periodicos.ufrn.br/revistadoregne/article/view/33877/18037https://periodicos.ufrn.br/revistadoregne/article/view/33877/18038Copyright (c) 2023 Revista de Geociências do Nordestehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessdas Neves Alves, Ana CatarinaBarros, Jocilene DantasArcoverde, Gustavo Felipe BaluéOmetto, Jean Pierre Henry Balbaud2024-01-03T23:27:29Zoai:periodicos.ufrn.br:article/33877Revistahttps://periodicos.ufrn.br/revistadoregne/indexPUBhttps://periodicos.ufrn.br/revistadoregne/oairegneufrn@gmail.com || periodicos@bczm.ufrn.br2447-33592447-3359opendoar:2024-01-03T23:27:29Revista de Geociências do Nordeste - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.none.fl_str_mv |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
title |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
spellingShingle |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil das Neves Alves, Ana Catarina |
title_short |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
title_full |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
title_fullStr |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
title_full_unstemmed |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
title_sort |
Análise Espacial Integrada da Degradação da Terra no Submédio São Francisco, Brasil: Integrated Spatial Analysis of Land Degradation in Submedium São Francisco Basin, Brazil |
author |
das Neves Alves, Ana Catarina |
author_facet |
das Neves Alves, Ana Catarina Barros, Jocilene Dantas Arcoverde, Gustavo Felipe Balué Ometto, Jean Pierre Henry Balbaud |
author_role |
author |
author2 |
Barros, Jocilene Dantas Arcoverde, Gustavo Felipe Balué Ometto, Jean Pierre Henry Balbaud |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
das Neves Alves, Ana Catarina Barros, Jocilene Dantas Arcoverde, Gustavo Felipe Balué Ometto, Jean Pierre Henry Balbaud |
description |
The study analyzed land degradation in the Submedium São Francisco basin using indices according to the FPEIR model (Force-Pressure-State-Impact-Response). For the selection of the 17 indicators, a bibliographic review and correlation analysis were carried out, the indicators were generated in grids of 5 x 5 km in the GIS QGIS through secondary and primary data. Treatment was performed to exclude outliers, followed by normalization of the indicators. Indexes were generated for each FPEIR component through the median of the indicators and maps of the indicators and indexes were prepared. The areas most vulnerable to degradation (higher values in the FPEI indices) are located mainly in the northwest, center and southeast regions of the basin. Regarding the response (higher values in the R index), the areas to the west, northwest and southeast of the basin stand out. The indicators that most influenced the FPEI indices were the Municipal Human Development Index, establishments with occupying producer, deforestation, erodibility, aridity index and degraded pastures. And in the case of the Response index, technical guidance and credit programs. Public policies and private initiatives to restore environmental quality are essential to reverse the degradation process, contributing to the sustainable management of the Caatinga. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-16 |
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://periodicos.ufrn.br/revistadoregne/article/view/33877 10.21680/2447-3359.2023v9n2ID33877 |
url |
https://periodicos.ufrn.br/revistadoregne/article/view/33877 |
identifier_str_mv |
10.21680/2447-3359.2023v9n2ID33877 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufrn.br/revistadoregne/article/view/33877/18037 https://periodicos.ufrn.br/revistadoregne/article/view/33877/18038 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Revista de Geociências do Nordeste https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Revista de Geociências do Nordeste https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Norte |
publisher.none.fl_str_mv |
Universidade Federal do Rio Grande do Norte |
dc.source.none.fl_str_mv |
Notheast Geoscience Journal; Vol. 9 No. 2 (2023); 183-202 Revista de Geociências do Nordeste; v. 9 n. 2 (2023); 183-202 2447-3359 10.21680/2447-3359.2023v9n2 reponame:Revista de Geociências do Nordeste instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Revista de Geociências do Nordeste |
collection |
Revista de Geociências do Nordeste |
repository.name.fl_str_mv |
Revista de Geociências do Nordeste - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
regneufrn@gmail.com || periodicos@bczm.ufrn.br |
_version_ |
1797052927570870272 |