Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region

Bibliographic Details
Main Author: Soares, Silvana Oliveira Wenceslau
Publication Date: 2025
Other Authors: Vasconcelos, Rodrigo Nogueira de, Lobão, Jocimara Souza Britto, Barbosa, Elaine Cristina Cambuí, Santana, Mariana Martins Medeiros de, Franca-Rocha, Washington de Jesus Sant'Anna da, Souza, Deorgia Tayane Mendes
Format: Article
Language: eng
Source: Ciência Florestal (Online)
Download full: https://periodicos.ufsm.br/cienciaflorestal/article/view/68141
Summary: The different land uses and coverages can generate various environmental impacts, both positive and negative. In the Bahia’s north coast and agreste region, the diversified land use has resulted in significant changes in the spatial structure over the years. In this study, we aimed to understand the spatiotemporal dynamics of these transformations by analyzing a multitemporal series from 2000 to 2016 to quantify spatial patterns using landscape ecology methods and geoprocessing techniques. Land use and coverage data were obtained from the Annual Mapping Project of Land Use and Cover in Brazil (MapBiomas), using collection 2.3 for the study area. The quantitative analysis of the classes was conducted through metrics such as CA (area), NP (number of patches), LPI (largest patch), and PLAND (percentage of coverage). After  reclassifying  the  land  use  and cover maps into the classes Agropastoral, Forest Formations, Mangrove, Grasslands, Water Bodies, Beaches and Dunes, and Urban Infrastructure, the CA metric indicated a gradual loss of 20% in forest formation areas and a 29% reduction in agropastoral and urban infrastructure areas. The LPI metric revealed that the largest fragment of forest formations occupies 22.7% of the total area, equivalent to 12,318.6 km². These analyses may support conservation and maintenance actions for forest areas, guide managers in creating or expanding conservation units, and inform environmental policies focused on sustainability and the conservation of this region.
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spelling Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste regionDinâmica espaço-temporal do uso e cobertura no Bioma Mata Atlântica: quantificação de padrões espaciais ao longo do litoral norte e da região do agreste na BahiaEcologia da paisagemMétricas de paisagemGeoprocessamentoMapBiomasLandscape ecologyLandscape metricsGeoprocessingMapBiomasThe different land uses and coverages can generate various environmental impacts, both positive and negative. In the Bahia’s north coast and agreste region, the diversified land use has resulted in significant changes in the spatial structure over the years. In this study, we aimed to understand the spatiotemporal dynamics of these transformations by analyzing a multitemporal series from 2000 to 2016 to quantify spatial patterns using landscape ecology methods and geoprocessing techniques. Land use and coverage data were obtained from the Annual Mapping Project of Land Use and Cover in Brazil (MapBiomas), using collection 2.3 for the study area. The quantitative analysis of the classes was conducted through metrics such as CA (area), NP (number of patches), LPI (largest patch), and PLAND (percentage of coverage). After  reclassifying  the  land  use  and cover maps into the classes Agropastoral, Forest Formations, Mangrove, Grasslands, Water Bodies, Beaches and Dunes, and Urban Infrastructure, the CA metric indicated a gradual loss of 20% in forest formation areas and a 29% reduction in agropastoral and urban infrastructure areas. The LPI metric revealed that the largest fragment of forest formations occupies 22.7% of the total area, equivalent to 12,318.6 km². These analyses may support conservation and maintenance actions for forest areas, guide managers in creating or expanding conservation units, and inform environmental policies focused on sustainability and the conservation of this region.Os diferentes usos e coberturas da terra podem gerar impactos ambientais variados, tanto positivos quanto negativos. No Litoral Norte e Agreste Baiano, o uso diversificado do solo resultou em mudanças significativas na estrutura espacial ao longo dos anos. No presente estudo procuramos compreender a dinâmica espaço-temporal dessas transformações, para tanto analisamos uma série multitemporal de 2000 a 2016, com o objetivo de quantificar os padrões espaciais utilizando métodos da ecologia de paisagem e técnicas de geoprocessamento. Os dados de uso e cobertura da terra foram obtidos do Projeto de Mapeamento Anual da Cobertura e Uso do Solo no Brasil (MapBiomas), utilizando a coleção 2.3 para área de estudo. A análise quantitativa das classes foi conduzida através de métricas como CA (área), NP (número de manchas), LPI (maior mancha) e PLAND (porcentagem de ocupação). Após a reclassificação dos mapas de uso e cobertura da terra nas classes Agropastoris, Formações Florestais, Mangue, Campos, Corpos d’água, Praia e Dunas, e Infraestrutura Urbana, observou-se que a métrica CA indicou uma perda gradual de 20% nas áreas de formações florestais e uma redução de 29% nas áreas agropastoris e de infraestrutura urbana. A métrica LPI revelou que o maior fragmento de formações florestais ocupa 22,7% da área total, equivalente a 12.318,6 km².Essas análises poderão subsidiar ações de preservação e manutenção de áreas florestais, oferecendo suporte a gestores na criação ou ampliação de unidades de conservação, além de embasar políticas ambientais voltadas para a sustentabilidade e conservação dessa região.Universidade Federal de Santa Maria2025-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/6814110.5902/1980509868141Ciência Florestal; v. 35 (2025): Publicação Contínua; e68141Ciência Florestal; v. 35 (2025): Publicação Contínua; e681411980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/cienciaflorestal/article/view/68141/67348Copyright (c) 2025 Ciência Florestalinfo:eu-repo/semantics/openAccessSoares, Silvana Oliveira WenceslauVasconcelos, Rodrigo Nogueira deLobão, Jocimara Souza BrittoBarbosa, Elaine Cristina CambuíSantana, Mariana Martins Medeiros deFranca-Rocha, Washington de Jesus Sant'Anna daSouza, Deorgia Tayane Mendes2025-10-13T12:44:17Zoai:ojs.pkp.sfu.ca:article/68141Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2025-10-13T12:44:17Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
Dinâmica espaço-temporal do uso e cobertura no Bioma Mata Atlântica: quantificação de padrões espaciais ao longo do litoral norte e da região do agreste na Bahia
title Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
spellingShingle Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
Soares, Silvana Oliveira Wenceslau
Ecologia da paisagem
Métricas de paisagem
Geoprocessamento
MapBiomas
Landscape ecology
Landscape metrics
Geoprocessing
MapBiomas
title_short Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
title_full Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
title_fullStr Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
title_full_unstemmed Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
title_sort Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
author Soares, Silvana Oliveira Wenceslau
author_facet Soares, Silvana Oliveira Wenceslau
Vasconcelos, Rodrigo Nogueira de
Lobão, Jocimara Souza Britto
Barbosa, Elaine Cristina Cambuí
Santana, Mariana Martins Medeiros de
Franca-Rocha, Washington de Jesus Sant'Anna da
Souza, Deorgia Tayane Mendes
author_role author
author2 Vasconcelos, Rodrigo Nogueira de
Lobão, Jocimara Souza Britto
Barbosa, Elaine Cristina Cambuí
Santana, Mariana Martins Medeiros de
Franca-Rocha, Washington de Jesus Sant'Anna da
Souza, Deorgia Tayane Mendes
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Soares, Silvana Oliveira Wenceslau
Vasconcelos, Rodrigo Nogueira de
Lobão, Jocimara Souza Britto
Barbosa, Elaine Cristina Cambuí
Santana, Mariana Martins Medeiros de
Franca-Rocha, Washington de Jesus Sant'Anna da
Souza, Deorgia Tayane Mendes
dc.subject.por.fl_str_mv Ecologia da paisagem
Métricas de paisagem
Geoprocessamento
MapBiomas
Landscape ecology
Landscape metrics
Geoprocessing
MapBiomas
topic Ecologia da paisagem
Métricas de paisagem
Geoprocessamento
MapBiomas
Landscape ecology
Landscape metrics
Geoprocessing
MapBiomas
description The different land uses and coverages can generate various environmental impacts, both positive and negative. In the Bahia’s north coast and agreste region, the diversified land use has resulted in significant changes in the spatial structure over the years. In this study, we aimed to understand the spatiotemporal dynamics of these transformations by analyzing a multitemporal series from 2000 to 2016 to quantify spatial patterns using landscape ecology methods and geoprocessing techniques. Land use and coverage data were obtained from the Annual Mapping Project of Land Use and Cover in Brazil (MapBiomas), using collection 2.3 for the study area. The quantitative analysis of the classes was conducted through metrics such as CA (area), NP (number of patches), LPI (largest patch), and PLAND (percentage of coverage). After  reclassifying  the  land  use  and cover maps into the classes Agropastoral, Forest Formations, Mangrove, Grasslands, Water Bodies, Beaches and Dunes, and Urban Infrastructure, the CA metric indicated a gradual loss of 20% in forest formation areas and a 29% reduction in agropastoral and urban infrastructure areas. The LPI metric revealed that the largest fragment of forest formations occupies 22.7% of the total area, equivalent to 12,318.6 km². These analyses may support conservation and maintenance actions for forest areas, guide managers in creating or expanding conservation units, and inform environmental policies focused on sustainability and the conservation of this region.
publishDate 2025
dc.date.none.fl_str_mv 2025-06-30
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.ufsm.br/cienciaflorestal/article/view/68141
10.5902/1980509868141
url https://periodicos.ufsm.br/cienciaflorestal/article/view/68141
identifier_str_mv 10.5902/1980509868141
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/68141/67348
dc.rights.driver.fl_str_mv Copyright (c) 2025 Ciência Florestal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2025 Ciência Florestal
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; v. 35 (2025): Publicação Contínua; e68141
Ciência Florestal; v. 35 (2025): Publicação Contínua; e68141
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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