Spatio-temporal analysis of forest fragmentation and landscape management scenarios in the Peruípe river basin, state of Bahia, Brazil

This study aimed to evaluate the spatiotemporal changes in vegetation fragments and the degree of forest fragmentation in the Peruípe River Basin, state of Bahia, between 1985 and 2021. Forest fragments were analyzed using landscape metrics related to size, edge, shape, and isolation using the Patch Analyst 5.2 extension in ArcGIS 10.8. Over the 36-year period, only minor changes were observed, with a 0.36% variation in the vegetation classes. The degree of fragmentation in the landscape decreased during the evaluation. However, it can still be concluded that the basin exhibits a high degree of fragmentation because the vegetation remains discontinuous, forming forest mosaics within a matrix that is predominantly pasture and forestry areas. Furthermore, most forest fragments in the Peruípe River Basin are smaller than five hectares (ha). Landscape management scenarios showed the importance of small fragments in the area, as they reduced the average isolation between fragments. In the scenario in which PPAs were restored, the forest area increased, whereas the number of fragments decreased. These results indicate that restoring PPAs can minimize the impact of forest fragmentation. These results are expected to contribute to the development of management and conservation strategies for the Peruípe River Basin.

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Publication Details

Journal
Revista Árvore
Published
2025-06-27
DOI
https://doi.org/10.53661/1806-9088202549263908
Citations
1
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
Field-Weighted Citation Impact
1.11

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article

Spatio-temporal analysis of forest fragmentation and landscape management scenarios in the Peruípe river basin, state of Bahia, Brazil

Ramon Batista dos Santos, Carolina Gusmão Souza, Ione Sousa Braga Martins, Danilo Paulúcio da Silva
1 citations
Revista Árvore
Conservation, Biodiversity, and Resource Management
1.11
article

Spatio-temporal analysis of forest fragmentation and landscape management scenarios in the Peruípe river basin, state of Bahia, Brazil

Ramon Batista dos Santos, Carolina Gusmão Souza, Ione Sousa Braga Martins, Danilo Paulúcio da Silva
article en
1 citations

Abstract

This study aimed to evaluate the spatiotemporal changes in vegetation fragments and the degree of forest fragmentation in the Peruípe River Basin, state of Bahia, between 1985 and 2021. Forest fragments were analyzed using landscape metrics related to size, edge, shape, and isolation using the Patch Analyst 5.2 extension in ArcGIS 10.8. Over the 36-year period, only minor changes were observed, with a 0.36% variation in the vegetation classes. The degree of fragmentation in the landscape decreased during the evaluation. However, it can still be concluded that the basin exhibits a high degree of fragmentation because the vegetation remains discontinuous, forming forest mosaics within a matrix that is predominantly pasture and forestry areas. Furthermore, most forest fragments in the Peruípe River Basin are smaller than five hectares (ha). Landscape management scenarios showed the importance of small fragments in the area, as they reduced the average isolation between fragments. In the scenario in which PPAs were restored, the forest area increased, whereas the number of fragments decreased. These results indicate that restoring PPAs can minimize the impact of forest fragmentation. These results are expected to contribute to the development of management and conservation strategies for the Peruípe River Basin.

Revista ÁrvoreVol. 49(1)
Southwest Bahia State University (BR), Instituto Nacional de Pesquisas Espaciais (BR)
Universidade Estadual do Sudoeste da Bahia
Openalex Percentile: Top 23%
Conservation, Biodiversity, and Resource Management
1.11
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Spatio-temporal analysis of forest fragmentation and landscape management scenarios in the Peruípe river basin, state of Bahia, Brazil — Ramon Batista dos Santos, Carolina Gusmão Souza, et al. · Revista Árvore (2025) | TGRS Research Map | TGRS