Forest edges in forest fragments are formed by natural or anthropogenic disturbances, where these forest fragments in a rural matrix experience environmental pressures at different levels. However, few studies indicate the actual size of the edge and how far its effects are perceived in the forest. This study aimed to evaluate the edge effect in forest fragments using floristic studies and vegetation indices, determining the gradient (meters) in which the edge penetrates the forest fragment and identifying the vegetation indices that best apply to edge effect studies. The research was conducted in five seasonal forests where floristic differences were verified, generating two similarity dendrograms using the average vegetation density per plot at each distance from the edge (0-10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80, 80-90, 90-100 m). To verify differences between the values of vegetation indices (NDVI, GNDVI, EVI, SAVI, Moisture, PV, Emissivity, and LST) concerning the distance from the forest edge towards its interior, the average values for each distance from the edge to the interior of each forest fragment were used. A dendrogram, a PCA, and linear and non-linear regressions were performed to determine the edge gradient in the fragments. The study found a perceptible difference between the edge and the forest interior when the edge reaches 30-40 meters into the forest, both in floristic studies and vegetation indices. The work concludes that field research and remote sensing converge, with NDVI, EVI, and the indices PV and Moisture best reflecting the edge effect in forests, being complementary for vegetation quality analysis. The study proposes the adoption of vegetation indices during the implementation of the Environmental Regularization Program (PRA) to assess the real dimension of the functional Legal Reserve in rural properties and to formulate strategies for maintaining ecosystem services of these forest fragments.
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Edge Effects Up to 30-40 Meters Into Seasonal Forests Demonstrated Through Vegetation Indices and Floristic Similarity
Published:
19 September 2024
by MDPI
in The 4th International Electronic Conference on Forests
session Forest Biodiversity, Ecosystem Services, and Earth Observations
Abstract:
Keywords: Seasonal Forests; Floristic Similarity; Environmental Regularization Program (PRA); Remote Sensing; Ecosystem Services