Protected Natural Areas (PNA) are a primary tool for conserving biodiversity and are used internationally. However, there is currently no decree ensuring their proper functioning, especially considering the rapid expansion of human activities. In Mexico, 182 PNA have been decreed, of which 125 terrestrial areas were analyzed to assess fragmentation and connectivity using land cover data from the MAD-Mex system (Monitoring Activity Data for the Mexican REDD + program) and a least-cost path modeling approach. A cluster analysis based on fragmentation metrics resulted in the formation of three groups of PNA, which were classified through discriminant analysis into low, medium, and high vulnerability levels. Subsequently, the extreme groups (low and high vulnerability) were characterized using nine socioeconomic variables, through a generalized linear model. The most vulnerable PNA are concentrated in the central region of the country, where population density, mining activity, and proximity to metropolitan areas increase fragmentation and reduce connectivity. A generalized linear model showed that the vulnerability of PNA increases with human population density and the presence of mines, while it decreases with distance to metropolitan areas and the presence of tourist areas. This analysis provides important insights into the local threats faced by each of Mexico’s terrestrial PNA. Such information is crucial for improving management plans and conservation strategies tailored to the specific threats confronting these areas.
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