Examining the distribution patterns and spatiotemporal niche overlap of sympatric species is crucial for understanding core concepts in community ecology and for the effective management of multi-species habitats within shared landscapes. Using data from 26 camera-traps, recorded over two years (December 2020–November 2022), in Sidi Toui National Park (STNP), Tunisia, we investigate habitat use and activity patterns of the scimitar-horned oryx (n = 1865 captures) and dorcas gazelle (n = 1208 captures). Using information theory and multi-model inference methods, along with the Pianka index, we evaluated the habitat characteristics influencing species distribution and their spatial niche overlap. To delineate daily activity patterns, we applied kernel density estimation. Our findings indicate minimal spatial overlap and distinct environmental factors determining suitable habitats for each species. Furthermore, we found significant temporal niche overlaps, indicative of synchrony in daily activity patterns, with both species showing peak activity at dawn and dusk. Our results indicated that oryx and gazelle differ in at least one dimension of their ecological niche at the current density levels, which contributes to their long-term and stable coexistence in STNP.

The dorcas gazelle ( Gazella dorcas Linnaeus, 1788), a vulnerable and cryptic species, has experienced significant population declines in recent decades. Its survival now hinges on robust conservation efforts within protected areas. However, the species' elusive nature complicates direct observation, underscoring the need for innovative and adaptive conservation approaches. In this study, we utilised latrine mapping, a cost‐effective and non‐invasive method, to evaluate the spatial dynamics and habitat preferences of dorcas gazelles in Sidi Toui National Park, Tunisia. A total of 417 active latrines were recorded across 67 surveyed quadrats, with significant clustering in specific areas indicating selective habitat use. Spatial analysis revealed autocorrelation across seven distance classes, with Moran's I values ranging from a significant positive value (0.326, p < 0.001) at the smallest distance class (0–1500 m) to a return of clustering at the broadest scale (0.176, p < 0.001) after a phase of non‐significant or negative autocorrelation between 2500 and 6000 m, reflecting a multi‐scale spatial structure characterised by alternating clustering and dispersion. These findings highlight a non‐random, structured spatial pattern influenced by environmental, spatial and anthropogenic factors. Multi‐model inference identified gazelle abundance, predator abundance and topography as the primary predictors of latrine site selection, with plains and hills being particularly favoured. Secondary influences included man‐made features. These findings offer actionable insights for conservation, suggesting that future management strategies should prioritise the preservation of open habitats, ensure reliable access to water sources and minimise human disturbance in critical areas to support the spatial behaviour and ecological requirements of dorcas gazelles.