Modeling data for landscape connectivity and wildlife access to water across an international border

We used a landscape connectivity model to investigate the effects of barriers on wildlife access to water within the Lower Rio Grande Valley in southern Texas (USA). We used a modified omnidirectional connectivity model to compare wildlife access to the river across three border barrier scenarios: 1) a landscape without border barriers; 2) a landscape with the existing barrier system as of 2022; and 3) a potential future landscape with a continuous barrier system. These data represent the probability of movement across the landscape for three focal species: javelina (Pecari tajacu), coyote (Canis latrans), and white-tailed deer (Odocoileus virginianus). Areas with high, per-pixel cumulative current density represent paths taken most often by random walkers in the model, given the structure of landscape costs and barriers, as they cross the study area to access the Rio Grande.