This study's objective was to analyze the effect of land cover change, between 1965 and 2018, using statistical metrics and geoprocessing tools. And consequently, to provide information of area (ha) and spatial fragmentation of the Atlantic Forest in the municipality of Rio Largo/AL, Brazil. The samples were collected and transferred by CECA, CADEH, and INCRA, between November 2019 and April 2020. The basic materials used in this work were multi-temporal aerial images in digital format, derived from the 1965 aerophotogrametric survey on the scale 1:25000, belonging to the collection of the Engineering and Agrarian Sciences Campus - UFAL, and images of Landsat satellites (5 and 8) processed and made available by the Mapbiomas Project. The statistic landscape metrics were calculated using Landscape ecology Statistics (LECOs), a QGIS plugin. The analysis of forest fragmentation areas over the 53 years showed a reduction between 32.17% (1965) and 12.04% (2018) concerning the total extension of the municipality. In 1965, the average area obtained from 49 fragments was 201.13 ha. The values show a higher distance of forest fragments between 1965 and 1989, and disappearance by 2018.The Pearson correlation coefficient for 1965 and 2018 presented the value of r = -0.525, indicating a moderate and negative correlation between the mean values of areas (ha) of forest fragments and the number of forest fragments. The worst-case scenario for the maintenance of native forests occurred in 1989, where the reduction of continuous forest areas had 10.87 ha for forest area average, being spaced in 327 fragments. In the period 1986 and 1996, there was a decrease in fragmentation, reaching 200 fragments. In 1996 and 1997, there was an imbalance in forest maintenance, again increasing the number of fragments to 250 areas, and being explained by the loosening of surveillance in previous years, followed by deforestation.

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Analyses with phenotypic characters are more practical to implement in forest nurseries, considering that genetics should be examined in forest restoration projects. Genipa americana L. is an essential species in producing seedlings for this purpose. This study aimed to select G. americana seed trees, for seed collection, in an area of Atlantic Forest, through the genetic divergence study in fruits, seeds, and seedlings. The study was conducted in the Saltinho Biological Reserve in Tamandaré - PE, Brazil. The ripe fruits of 11 G. americana seed trees were collected. The physical and physicochemical characterization of the fruits, biometric characterization of the seeds, and seed emergence analysis were performed. For the genetic analyses, the model used was the 81 of the Selegen REML/BLUP software and the cluster analysis made by the UPGMA method. The seed trees selection index was also created. The coefficients of determination of the seed trees’ effects were low because there is considerable interaction between the sites in which each one is inserted. It is possible to state that all variables contribute to explaining the genetic dissimilarity between the seed trees. Seed trees 1, 4, and 6 had the best average ranks for the variables collected concerning genotypes. The Saltinho Biological Reserve is a good source of genetic and reproductive material for the species G. americana for forest restoration purposes.

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