Fábia Maria dos Santos Souza
Research Subjects
Fábia Maria dos Santos Souza has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Alex Josélio Pires Coelho
Plant Ecology and Evolution Laboratory, Department of Plant Biology, Federal University of Viçosa, Viçosa, Brazil
2 shared publications - Josielle Evaristo Costa
Laboratory of Ecology and Evolution of Plants, Viçosa 36570-900, Brazil
2 shared publications - João Augusto Alves Meira-Neto
Laboratory of Ecology and Evolution of Plants, Departamento de Biologia Vegetal, Universidade Federal de Viçosa, Viçosa, Brazil
2 shared publications - Marina Tack Ramos
Laboratory of Ecology and Evolution of Plants, Viçosa 36570-900, Brazil
2 shared publications - Natália Toledo Sacchetto
Laboratory of Ecology and Evolution of Plants, Viçosa 36570-900, Brazil
2 shared publications - Rodrigo Gomes Gorsani
Plant Ecology and Evolution Laboratory, Department of Plant Biology, Federal University of Viçosa, Viçosa, Brazil
2 shared publications
Latest Publications
- Open Access
- 3 September 2026
- Published by MDPI AG in Remote Sensing
- Vol. 18 (17) , 2999
Pixel-Level Sentinel-2 Modeling Reveals Scale-Dependent Edge Effects and Structural Heterogeneity in Semideciduous Seasonal Forest Fragments of the Brazilian Cerrado
Forest edge effects are commonly interpreted as radial gradients from the edge toward the interior, but this assumption may oversimplify the spatial organization of heterogeneous tropical forest fragments. Here, we integrated field-based phytosociological data with Sentinel-2 spectral indices to evaluate whether edge-related structural interpretation depends on analytical scale in Semideciduous Seasonal Forest fragments embedded in the Brazilian Cerrado. Five fragments were analyzed using transect-based plots and continuous pixel-level modeling. Basal area showed a strong positive correlation with the Normalized Difference Vegetation Index (NDVI) (r = 0.95), supporting its use as the main spectral proxy for basal-area-related structural variation. Plot-level segmented regression detected statistical transitions along the edge–interior gradient, with breakpoints ranging from approximately 13 to 39 m. However, pixel-level modeling revealed scale-dependent responses, including shorter estimated transition distances in the rural Ipameri fragment (IF) and the Campo Alegre de Goiás fragment (AC), an intermediate transition in the Caldas Novas fragment (CN), a longer estimated transition distance in the UEG–Ipameri fragment (IP), and high internal heterogeneity without a single dominant radial transition in Panga. The first two axes of the Principal Component Analysis (PCA) explained approximately 81% of the total variance, reinforcing the structural–spectral correspondence. These findings show that edge-related spectral–structural patterns are detectable but are not adequately represented by fixed radial zones alone. Pixel-level Sentinel-2 modeling provides a complementary spatial framework for interpreting edge-related heterogeneity in fragmented tropical forests when integrated with field-based structural data.
- 3 September 2026
- Published by MDPI AG in Remote Sensing
- Vol. 18 (17) , 2999
Open AccessPixel-Level Sentinel-2 Modeling Reveals Scale-Dependent Edge Effects and Structural Heterogeneity in Semideciduous Seasonal Forest Fragments of the Brazilian Cerrado
Forest edge effects are commonly interpreted as radial gradients from the edge toward the interior, but this assumption may oversimplify the spatial organization of heterogeneous tropical forest fragments. Here, we integrated field-based phytosociological data with Sentinel-2 spectral indices to evaluate whether edge-related structural interpretation depends on analytical scale in Semideciduous Seasonal Forest fragments embedded in the Brazilian Cerrado. Five fragments were analyzed using transect-based plots and continuous pixel-level modeling. Basal area showed a strong positive correlation with the Normalized Difference Vegetation Index (NDVI) (r = 0.95), supporting its use as the main spectral proxy for basal-area-related structural variation. Plot-level segmented regression detected statistical transitions along the edge–interior gradient, with breakpoints ranging from approximately 13 to 39 m. However, pixel-level modeling revealed scale-dependent responses, including shorter estimated transition distances in the rural Ipameri fragment (IF) and the Campo Alegre de Goiás fragment (AC), an intermediate transition in the Caldas Novas fragment (CN), a longer estimated transition distance in the UEG–Ipameri fragment (IP), and high internal heterogeneity without a single dominant radial transition in Panga. The first two axes of the Principal Component Analysis (PCA) explained approximately 81% of the total variance, reinforcing the structural–spectral correspondence. These findings show that edge-related spectral–structural patterns are detectable but are not adequately represented by fixed radial zones alone. Pixel-level Sentinel-2 modeling provides a complementary spatial framework for interpreting edge-related heterogeneity in fragmented tropical forests when integrated with field-based structural data.
- Open Access
- 13 May 2026
- Published by MDPI AG in Preprints.org
Pixel-Level Sentinel-2 Modeling Reveals Scale-Dependent Edge Effects and Structural Heterogeneity in Semideciduous Seasonal Forest Fragments of the Brazilian Cerrado
Forest edge effects are commonly interpreted as radial gradients from the edge toward the interior, but this assumption may oversimplify the spatial organization of heterogeneous tropical forest fragments. Here, we integrated field-based phytosociological data with Sentinel-2 spectral indices to evaluate whether edge-effect interpretation depends on analytical scale in Semideciduous Seasonal Forest fragments embedded in the Brazilian Cerrado. Five fragments were analyzed using transect-based plots and continuous pixel-level modeling. Basal area showed a strong positive correlation with NDVI (r = 0.95), supporting its use as the main spectral proxy for vegetation structure. Plot-level segmented regression detected edge-to-interior transitions, with breakpoints ranging from approximately 13 to 39 m. However, pixel-level modeling revealed scale-dependent responses, including shallow gradients in IF and AC, an intermediate transition in CN, a deeper gradient in IP, and high internal heterogeneity without a single dominant radial transition in Panga. The first two PCA axes explained approximately 81% of the total variance, reinforcing the structural–spectral correspondence. These findings show that edge effects are detectable but not adequately represented by fixed radial zones alone. Pixel-level Sentinel-2 modeling improves the spatial interpretation of fragmented tropical forests.
- 13 May 2026
- Published by MDPI AG in Preprints.org
Open AccessPixel-Level Sentinel-2 Modeling Reveals Scale-Dependent Edge Effects and Structural Heterogeneity in Semideciduous Seasonal Forest Fragments of the Brazilian Cerrado
Forest edge effects are commonly interpreted as radial gradients from the edge toward the interior, but this assumption may oversimplify the spatial organization of heterogeneous tropical forest fragments. Here, we integrated field-based phytosociological data with Sentinel-2 spectral indices to evaluate whether edge-effect interpretation depends on analytical scale in Semideciduous Seasonal Forest fragments embedded in the Brazilian Cerrado. Five fragments were analyzed using transect-based plots and continuous pixel-level modeling. Basal area showed a strong positive correlation with NDVI (r = 0.95), supporting its use as the main spectral proxy for vegetation structure. Plot-level segmented regression detected edge-to-interior transitions, with breakpoints ranging from approximately 13 to 39 m. However, pixel-level modeling revealed scale-dependent responses, including shallow gradients in IF and AC, an intermediate transition in CN, a deeper gradient in IP, and high internal heterogeneity without a single dominant radial transition in Panga. The first two PCA axes explained approximately 81% of the total variance, reinforcing the structural–spectral correspondence. These findings show that edge effects are detectable but not adequately represented by fixed radial zones alone. Pixel-level Sentinel-2 modeling improves the spatial interpretation of fragmented tropical forests.