Establishing forest connection in landscapes under urban sprawl is essential for maintaining the ecological processes and ensuring biodiversity conservation. However, the major challenge is incorporated the ecological network in the land-use/land-cover planning. This way, the main objective of the study was the evaluation of environmental criteria for prioritizing areas to obtain forest functional connectivity in a landscape subject to the urban sprawl. The second objective was to understand how the criteria are associated with the structural forest attributes represented by traditional landscape ecology metrics. The criteria were defined through the literature review, representing the landscape characteristics as the topographic, conflicts, and biotics. The metrics used to characterize the forest structure were perimeter, shape index, and distance to the nearest neighbor. They were generated to a selected group of forest remnants, which represent the landscape forest structure. Sampling the criteria and forest fragments maps (i.e., different maps representing the metrics-values) through the hexagon network, we assessed how the criteria are associated with the structural forest attributes. The statistical analysis used to evaluate these sampled values were The Moran Global (Moran I) and Moran Local (LISA). We obtained that the urban expansion process is diffuse, although it does not occur randomly in our landscape. The criteria slope, TWI, distance from drainage network, distance from highways, distance from the low-density urban area, and distance from forest patches have characteristics that support this process. Furthermore, our results indicated a spatial autocorrelation among metrics and after, among metrics and these criteria. Also, we obtained that the external influences on the fragments did not occur randomly and that the criteria act on the landscape. This way, through these criteria, we can identify regions where it is possible to have the persistence of forest fragments, even though in places under the impact of urban sprawl.