Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil

Detalhes bibliográficos
Autor(a) principal: Araujo, Lucas Nunes de
Data de Publicação: 2023
Outros Autores: Silva, Fernanda Kelly Gomes da, Medeiros, Maria Betânia Ribeiro Gonçalves, Trovão, Dilma Maria de Brito Melo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum Biological Sciences
Texto Completo: https://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/68870
Resumo: Many factors, such as climate, land use, and cultural and social aspects, influence the vegetation cover dynamics. We aimed to analyze the vegetation cover dynamics in three municipalities of the Brazilian semi-arid region (Aroeiras, Boqueirão, and Congo, state of Paraíba, Brazil) and to check for the influence of land use and inter-annual variations in rainfall. We selected 18 Landsat satellite images between 1995 and 2017. We performed supervised classification based on pre-established regions of interest: Closed or conserved vegetation, Sparse or disturbed vegetation, Exposed soil, Water bodies, clouds, and shadows, according to color, shape, and texture criteria. In addition, we collected data from the IBGE's Agricultural Census and annual rainfall. Variations in land use and rainfall variations worked synergistically on vegetation cover dynamics. In the municipality of Congo, very wet years were associated with higher percentages of closed vegetation and decreased soil exposure. High percentages of land use were related to a higher cover of sparse vegetation and exposed soil. In Boqueirão, we observed the opposite phenomenon, with drier years associated with higher percentages of closed vegetation and exposed soil. In Aroeiras, we identified no clear relationship between rainfall and variations in vegetation cover. Similar to that observed in the other municipalities, the abandonment of agricultural and cattle ranching activities increased dense vegetation. Our results show that the analysis of land use and vegetation cover dynamics in the semi-arid region represents a complex task ranging from regional factors, such as climate, characterized by inter-annual rainfall variations, to local factors, such as land use intensity and demographic/social aspects.
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spelling Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern BrazilImportance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Braziltemporal analysis; remote sensing; semi-arid; Landsat.temporal analysis; remote sensing; semi-arid; Landsat.Many factors, such as climate, land use, and cultural and social aspects, influence the vegetation cover dynamics. We aimed to analyze the vegetation cover dynamics in three municipalities of the Brazilian semi-arid region (Aroeiras, Boqueirão, and Congo, state of Paraíba, Brazil) and to check for the influence of land use and inter-annual variations in rainfall. We selected 18 Landsat satellite images between 1995 and 2017. We performed supervised classification based on pre-established regions of interest: Closed or conserved vegetation, Sparse or disturbed vegetation, Exposed soil, Water bodies, clouds, and shadows, according to color, shape, and texture criteria. In addition, we collected data from the IBGE's Agricultural Census and annual rainfall. Variations in land use and rainfall variations worked synergistically on vegetation cover dynamics. In the municipality of Congo, very wet years were associated with higher percentages of closed vegetation and decreased soil exposure. High percentages of land use were related to a higher cover of sparse vegetation and exposed soil. In Boqueirão, we observed the opposite phenomenon, with drier years associated with higher percentages of closed vegetation and exposed soil. In Aroeiras, we identified no clear relationship between rainfall and variations in vegetation cover. Similar to that observed in the other municipalities, the abandonment of agricultural and cattle ranching activities increased dense vegetation. Our results show that the analysis of land use and vegetation cover dynamics in the semi-arid region represents a complex task ranging from regional factors, such as climate, characterized by inter-annual rainfall variations, to local factors, such as land use intensity and demographic/social aspects.Many factors, such as climate, land use, and cultural and social aspects, influence the vegetation cover dynamics. We aimed to analyze the vegetation cover dynamics in three municipalities of the Brazilian semi-arid region (Aroeiras, Boqueirão, and Congo, state of Paraíba, Brazil) and to check for the influence of land use and inter-annual variations in rainfall. We selected 18 Landsat satellite images between 1995 and 2017. We performed supervised classification based on pre-established regions of interest: Closed or conserved vegetation, Sparse or disturbed vegetation, Exposed soil, Water bodies, clouds, and shadows, according to color, shape, and texture criteria. In addition, we collected data from the IBGE's Agricultural Census and annual rainfall. Variations in land use and rainfall variations worked synergistically on vegetation cover dynamics. In the municipality of Congo, very wet years were associated with higher percentages of closed vegetation and decreased soil exposure. High percentages of land use were related to a higher cover of sparse vegetation and exposed soil. In Boqueirão, we observed the opposite phenomenon, with drier years associated with higher percentages of closed vegetation and exposed soil. In Aroeiras, we identified no clear relationship between rainfall and variations in vegetation cover. Similar to that observed in the other municipalities, the abandonment of agricultural and cattle ranching activities increased dense vegetation. Our results show that the analysis of land use and vegetation cover dynamics in the semi-arid region represents a complex task ranging from regional factors, such as climate, characterized by inter-annual rainfall variations, to local factors, such as land use intensity and demographic/social aspects.Universidade Estadual De Maringá2023-12-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/6887010.4025/actascibiolsci.v45i1.68870Acta Scientiarum. Biological Sciences; Vol 45 (2023): Publicação contínua; e68870Acta Scientiarum. Biological Sciences; v. 45 (2023): Publicação contínua; e688701807-863X1679-9283reponame:Acta Scientiarum Biological Sciencesinstname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/68870/751375156954Copyright (c) 2023 Acta Scientiarum. Biological Scienceshttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAraujo, Lucas Nunes de Silva, Fernanda Kelly Gomes da Medeiros, Maria Betânia Ribeiro Gonçalves Trovão, Dilma Maria de Brito Melo2024-03-01T16:11:31Zoai:periodicos.uem.br/ojs:article/68870Revistahttps://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/PUBhttps://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/oai||actabiol@uem.br1807-863X1679-9283opendoar:2024-03-01T16:11:31Acta Scientiarum Biological Sciences - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
title Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
spellingShingle Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
Araujo, Lucas Nunes de
temporal analysis; remote sensing; semi-arid; Landsat.
temporal analysis; remote sensing; semi-arid; Landsat.
title_short Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
title_full Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
title_fullStr Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
title_full_unstemmed Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
title_sort Importance of land use and rainfall in the dynamics of the Caatinga vegetation cover in Northeastern Brazil
author Araujo, Lucas Nunes de
author_facet Araujo, Lucas Nunes de
Silva, Fernanda Kelly Gomes da
Medeiros, Maria Betânia Ribeiro Gonçalves
Trovão, Dilma Maria de Brito Melo
author_role author
author2 Silva, Fernanda Kelly Gomes da
Medeiros, Maria Betânia Ribeiro Gonçalves
Trovão, Dilma Maria de Brito Melo
author2_role author
author
author
dc.contributor.author.fl_str_mv Araujo, Lucas Nunes de
Silva, Fernanda Kelly Gomes da
Medeiros, Maria Betânia Ribeiro Gonçalves
Trovão, Dilma Maria de Brito Melo
dc.subject.por.fl_str_mv temporal analysis; remote sensing; semi-arid; Landsat.
temporal analysis; remote sensing; semi-arid; Landsat.
topic temporal analysis; remote sensing; semi-arid; Landsat.
temporal analysis; remote sensing; semi-arid; Landsat.
description Many factors, such as climate, land use, and cultural and social aspects, influence the vegetation cover dynamics. We aimed to analyze the vegetation cover dynamics in three municipalities of the Brazilian semi-arid region (Aroeiras, Boqueirão, and Congo, state of Paraíba, Brazil) and to check for the influence of land use and inter-annual variations in rainfall. We selected 18 Landsat satellite images between 1995 and 2017. We performed supervised classification based on pre-established regions of interest: Closed or conserved vegetation, Sparse or disturbed vegetation, Exposed soil, Water bodies, clouds, and shadows, according to color, shape, and texture criteria. In addition, we collected data from the IBGE's Agricultural Census and annual rainfall. Variations in land use and rainfall variations worked synergistically on vegetation cover dynamics. In the municipality of Congo, very wet years were associated with higher percentages of closed vegetation and decreased soil exposure. High percentages of land use were related to a higher cover of sparse vegetation and exposed soil. In Boqueirão, we observed the opposite phenomenon, with drier years associated with higher percentages of closed vegetation and exposed soil. In Aroeiras, we identified no clear relationship between rainfall and variations in vegetation cover. Similar to that observed in the other municipalities, the abandonment of agricultural and cattle ranching activities increased dense vegetation. Our results show that the analysis of land use and vegetation cover dynamics in the semi-arid region represents a complex task ranging from regional factors, such as climate, characterized by inter-annual rainfall variations, to local factors, such as land use intensity and demographic/social aspects.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/68870
10.4025/actascibiolsci.v45i1.68870
url https://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/68870
identifier_str_mv 10.4025/actascibiolsci.v45i1.68870
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/68870/751375156954
dc.rights.driver.fl_str_mv Copyright (c) 2023 Acta Scientiarum. Biological Sciences
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Acta Scientiarum. Biological Sciences
http://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 Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Biological Sciences; Vol 45 (2023): Publicação contínua; e68870
Acta Scientiarum. Biological Sciences; v. 45 (2023): Publicação contínua; e68870
1807-863X
1679-9283
reponame:Acta Scientiarum Biological Sciences
instname:Universidade Estadual de Maringá (UEM)
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