Fábia Maria dos Santos Souza

Fábia Maria dos Santos Souza

*This is an algorithmically generated author record based on publicly available information.

Fábia Maria dos Santos Souza has a total of 8 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Pixel-Level Sentinel-2 Modeling Reveals Scale-Dependent Edge Effects and Structural Heterogeneity in Semideciduous Seasonal Forest Fragments of the Brazilian Cerrado

    by Valdivino Domingos de Oliveira Júnior, Vagner Santiago Do Vale, Natália Toledo Sacchetto, Fábia Maria dos Santos Souza, Alex Josélio Pires Coelho, Rodrigo Gomes Gorsani, Josielle Evaristo Costa, Marina Tack Ramos, João Augusto Alves Meira-Neto

    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

    Pixel-Level Sentinel-2 Modeling Reveals Scale-Dependent Edge Effects and Structural Heterogeneity in Semideciduous Seasonal Forest Fragments of the Brazilian Cerrado

    by Valdivino Domingos de Oliveira Júnior, Vagner Santiago Do Vale, Natália Toledo Sacchetto, Fábia Maria dos Santos Souza, Alex Josélio Pires Coelho, Rodrigo Gomes Gorsani, Josielle Evaristo Costa, Marina Tack Ramos, João Augusto Alves Meira-Neto

    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.