Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s10661-022-10052-5 http://hdl.handle.net/11449/240934 |
Resumo: | Although global climate change is receiving considerable attention, the loss of biodiversity worldwide continues. In this study, dynamics of land use/land cover (LULC) change in the Paraguai/Jauquara Basin, Mato Grosso, Brazil, were investigated. Two analyses were performed using R software. The first was a comparative study of LULC among the LULC classes at the polygon scale, and the second was a spatio-temporal analysis of moving polygons restricted to the agricultural regions in terms of topology, size, distance, and direction of change. The data consisted of Landsat images captured in 1993, 1997, 2001, 2005, 2009, 2013, and 2016 and processed using ArcGIS software. The proposed analytical approach handled complex data structures and allowed for a deeper understanding of LULC change over time. The results showed that there was a statistically significant change from regions of natural vegetation to pastures, agricultural regions, and land for other uses, accompanied by a significant trend of expansion of agricultural regions, appearing to stabilize from 2005. Furthermore, different patterns of LULC change were found according to soil type and elevation. In particular, the purple latosol soil type presented the highest expansion indexes since 2001, and the elevated agricultural areas have been expanding and/or stabilizing since 1997. |
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Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, BrazilAnthropogenic activitiesLULCMoving polygon analysisRemote sensingSpatial autocorrelationSpatio-temporal patternAlthough global climate change is receiving considerable attention, the loss of biodiversity worldwide continues. In this study, dynamics of land use/land cover (LULC) change in the Paraguai/Jauquara Basin, Mato Grosso, Brazil, were investigated. Two analyses were performed using R software. The first was a comparative study of LULC among the LULC classes at the polygon scale, and the second was a spatio-temporal analysis of moving polygons restricted to the agricultural regions in terms of topology, size, distance, and direction of change. The data consisted of Landsat images captured in 1993, 1997, 2001, 2005, 2009, 2013, and 2016 and processed using ArcGIS software. The proposed analytical approach handled complex data structures and allowed for a deeper understanding of LULC change over time. The results showed that there was a statistically significant change from regions of natural vegetation to pastures, agricultural regions, and land for other uses, accompanied by a significant trend of expansion of agricultural regions, appearing to stabilize from 2005. Furthermore, different patterns of LULC change were found according to soil type and elevation. In particular, the purple latosol soil type presented the highest expansion indexes since 2001, and the elevated agricultural areas have been expanding and/or stabilizing since 1997.Department of Mathematics Centre of Mathematics Minho University, GualtarDepartment of Geography São Paulo State University, OurinhosDepartment of Mathematics Centre of Mathematics Minho University, AzurémDepartment of Geography São Paulo State University, OurinhosMinho UniversityUniversidade Estadual Paulista (UNESP)Silva, DanielaGalvanin, Edinéia A. S. [UNESP]Menezes, Raquel2023-03-01T20:39:20Z2023-03-01T20:39:20Z2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s10661-022-10052-5Environmental Monitoring and Assessment, v. 194, n. 6, 2022.1573-29590167-6369http://hdl.handle.net/11449/24093410.1007/s10661-022-10052-52-s2.0-85129420292Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental Monitoring and Assessmentinfo:eu-repo/semantics/openAccess2024-06-26T20:10:55Zoai:repositorio.unesp.br:11449/240934Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:37:32.526587Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
title |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
spellingShingle |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil Silva, Daniela Anthropogenic activities LULC Moving polygon analysis Remote sensing Spatial autocorrelation Spatio-temporal pattern |
title_short |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
title_full |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
title_fullStr |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
title_full_unstemmed |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
title_sort |
Spatio-temporal analysis of land use/land cover change dynamics in Paraguai/Jauquara Basin, Brazil |
author |
Silva, Daniela |
author_facet |
Silva, Daniela Galvanin, Edinéia A. S. [UNESP] Menezes, Raquel |
author_role |
author |
author2 |
Galvanin, Edinéia A. S. [UNESP] Menezes, Raquel |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Minho University Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Silva, Daniela Galvanin, Edinéia A. S. [UNESP] Menezes, Raquel |
dc.subject.por.fl_str_mv |
Anthropogenic activities LULC Moving polygon analysis Remote sensing Spatial autocorrelation Spatio-temporal pattern |
topic |
Anthropogenic activities LULC Moving polygon analysis Remote sensing Spatial autocorrelation Spatio-temporal pattern |
description |
Although global climate change is receiving considerable attention, the loss of biodiversity worldwide continues. In this study, dynamics of land use/land cover (LULC) change in the Paraguai/Jauquara Basin, Mato Grosso, Brazil, were investigated. Two analyses were performed using R software. The first was a comparative study of LULC among the LULC classes at the polygon scale, and the second was a spatio-temporal analysis of moving polygons restricted to the agricultural regions in terms of topology, size, distance, and direction of change. The data consisted of Landsat images captured in 1993, 1997, 2001, 2005, 2009, 2013, and 2016 and processed using ArcGIS software. The proposed analytical approach handled complex data structures and allowed for a deeper understanding of LULC change over time. The results showed that there was a statistically significant change from regions of natural vegetation to pastures, agricultural regions, and land for other uses, accompanied by a significant trend of expansion of agricultural regions, appearing to stabilize from 2005. Furthermore, different patterns of LULC change were found according to soil type and elevation. In particular, the purple latosol soil type presented the highest expansion indexes since 2001, and the elevated agricultural areas have been expanding and/or stabilizing since 1997. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-01 2023-03-01T20:39:20Z 2023-03-01T20:39:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s10661-022-10052-5 Environmental Monitoring and Assessment, v. 194, n. 6, 2022. 1573-2959 0167-6369 http://hdl.handle.net/11449/240934 10.1007/s10661-022-10052-5 2-s2.0-85129420292 |
url |
http://dx.doi.org/10.1007/s10661-022-10052-5 http://hdl.handle.net/11449/240934 |
identifier_str_mv |
Environmental Monitoring and Assessment, v. 194, n. 6, 2022. 1573-2959 0167-6369 10.1007/s10661-022-10052-5 2-s2.0-85129420292 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Environmental Monitoring and Assessment |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129342479269888 |