Spatiotemporal dynamics of land use and cover in the Atlantic Forest Biome: quantifying spatial patterns along Bahia’s north coast and agreste region
| Main Author: | |
|---|---|
| Publication Date: | 2025 |
| Other Authors: | , , , , , |
| 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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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 |
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https://periodicos.ufsm.br/cienciaflorestal/article/view/68141/67348 |
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Copyright (c) 2025 Ciência Florestal info:eu-repo/semantics/openAccess |
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Copyright (c) 2025 Ciência Florestal |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
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Universidade Federal de Santa Maria |
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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 |
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Universidade Federal de Santa Maria (UFSM) |
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UFSM |
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UFSM |
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Ciência Florestal (Online) |
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Ciência Florestal (Online) |
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Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
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||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
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