Over the last decades, human developments have caused ungulate species to lose extensive areas of their suitable habitats in Iran. While through changing their preferred environmental conditions, climate change could also inerasably raise their vulnerability in the future. Thus, apart from management strategies presently in action to mitigate exciting threats, it is necessary adapting conservation approaches that increase adaptation of these species to future climate change. Accordingly, in the first chapter of this research; future changes in present distribution of three vulnerable ungulates of goitered gazelle, wild sheep and wild goat was predicted applying an ensemble modelling approach and two scenarios of RCP 2.6 and RCP 8.5 in central Iran. In the second chapter, we modelled landscape connectivity in present and future times to evaluate impact of climate change on present connections between the protected areas (Hereafter PAs) using circuit theory approach and identified potential corridors predicted to persist into the future for each species. In the next step in this research, combining the result of SDMs with the results of abiotic evaluation of PAs elevational heterogeneity, role of topographic heterogeneity in reducing the negative impacts of climate change was assessed. To do so, the degree of elevational heterogeneity represented by each PA was measured using Shannon index. We then evaluated if elevational heterogeneity has a significant effect on the proportion of stable habitats for each species in the future using ANCOVA test. Future projections revealed that under the most pessimistic scenario of climate change (RCP 8.5), goitered gazelle, wild sheep and wild go would lose up to 55.3%, 68% and 75% of their present distribution by 2070, respectively of which about 0.12%, 27.66% and 28.6% was calculated to occur within the PAs for the target species. As a result of these changes, present distribution of the ungulates was estimated to shift on average, about 136 km toward higher latitudes and change as much as 94 m along the elevational gradient in in response to climate change. Climate change was also predicted to reduce suitability of connectivity areas for the target ungulates in the future, nevertheless, we identified potential corridors network likely to persist into the future. Integrating results of connectivity and distribution models, some of these corridors were found to play a key role in facilitating movements of the impacted populations and thus reducing negative impacts of climate change on them. Our results also showed that elevational heterogeneity has a significantly positive effect on maintaining presently suitable habitat of the species in the future. With respect to the key role of PAs in protecting ungulates, results of this study could be incorporated into planning adaptative approaches for selection of new sites based on distribution of unprotected suitable habitats and areas of high elevational heterogeneity. Moreover, because of reduced efficiency of some PAs, the efficiency of this protected network could be substantially enhanced by increasing and maintaining connectivity between the PAs.