Contrasts in landscape structure and their effects on conservation in agricultural sub-regions of Bahia

Landscape fragmentation, driven by diverse agricultural practices, represents one of the significant challenges for biodiversity conservation. Although some sub-regions in Bahia are considered better preserved due to their traditional land-use patterns, comparative assessments with less preserved areas remain scarce. This study aimed to evaluate the landscape structure in two rural communities in Bahia, Brazil: Rio do Engenho (Ilhéus) and Riacho da Guia (Alagoinhas), characterized respectively by agroforestry systems (cabruca) and monocultures (citrus and eucalyptus). The methodology was based on the analysis of CBERS-04A satellite images (2024) with an 8-meter spatial resolution, processed using QGIS 3.34. Land-use and land-cover mapping was conducted through manual visual interpretation, identifying up to nine thematic classes. To assess landscape structure, nine ecological metrics were calculated using the LecoS plugin, encompassing composition, shape, connectivity, and diversity. The results indicated that Rio do Engenho has a larger proportion of native vegetation, greater cohesion, and lower edge density, revealing a configuration more favorable to biodiversity conservation. In contrast, Riacho da Guia exhibited higher fragmentation, a predominance of agricultural land uses, and reduced connectivity among forest remnants. Therefore, the findings demonstrate that adopting agroforestry systems enhances biodiversity maintenance and ecosystem resilience, whereas monoculture practices accelerate environmental degradation.

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Publication Details

Journal
Revista Árvore
Published
2025-10-08
DOI
https://doi.org/10.53661/1806-9088202549263893
Primary Topic
Rural Development and Agriculture
Type
article
Field-Weighted Citation Impact
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article

Contrasts in landscape structure and their effects on conservation in agricultural sub-regions of Bahia

Eltamara Souza da Conceição, João Gabriel Santos de Souza, José Linaldo da Paixão Santos Júnior, Victória Santana de Oliveira Franco
Revista Árvore
Rural Development and Agriculture
article

Contrasts in landscape structure and their effects on conservation in agricultural sub-regions of Bahia

Eltamara Souza da Conceição, João Gabriel Santos de Souza, José Linaldo da Paixão Santos Júnior, Victória Santana de Oliveira Franco
article en

Abstract

Landscape fragmentation, driven by diverse agricultural practices, represents one of the significant challenges for biodiversity conservation. Although some sub-regions in Bahia are considered better preserved due to their traditional land-use patterns, comparative assessments with less preserved areas remain scarce. This study aimed to evaluate the landscape structure in two rural communities in Bahia, Brazil: Rio do Engenho (Ilhéus) and Riacho da Guia (Alagoinhas), characterized respectively by agroforestry systems (cabruca) and monocultures (citrus and eucalyptus). The methodology was based on the analysis of CBERS-04A satellite images (2024) with an 8-meter spatial resolution, processed using QGIS 3.34. Land-use and land-cover mapping was conducted through manual visual interpretation, identifying up to nine thematic classes. To assess landscape structure, nine ecological metrics were calculated using the LecoS plugin, encompassing composition, shape, connectivity, and diversity. The results indicated that Rio do Engenho has a larger proportion of native vegetation, greater cohesion, and lower edge density, revealing a configuration more favorable to biodiversity conservation. In contrast, Riacho da Guia exhibited higher fragmentation, a predominance of agricultural land uses, and reduced connectivity among forest remnants. Therefore, the findings demonstrate that adopting agroforestry systems enhances biodiversity maintenance and ecosystem resilience, whereas monoculture practices accelerate environmental degradation.

Revista ÁrvoreVol. 49(1)
Southwest Bahia State University (BR)
Universidade do Estado da Bahia
Openalex Percentile: Top 62%
Rural Development and Agriculture
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