Rangelands contribute to the livelihood of millions of people worldwide and are important providers of ecosystem services. These systems are potentially at risk of climate change; however, the extent and magnitude of the potential impacts are poorly understood. Climate change and its effects on temperature and rainfall are one of the most important human-environmental issues and have been the subject of many studies in recent years. In this study, evaluation of the effects of climate change on temperature and precipitation in Iran was performed using LARS-WG statistical micro-scale model under climate scenarios A2, A1B, and B1, based on the base period (1984-2013) and three future periods (2037-2011, 2069-2046, 2080-2099) were examined. For this purpose, after initial analysis of data from 33 synoptic stations using 5 general atmospheric circulation models (GCMs) including IPCM4, MPEH5, GFCM21, HADCM3 and NCCCS, under three emission scenarios A1B, A2 and B1, the minimum and maximum temperature parameters and precipitation were simulated. Also, the arithmetic means method was used for group execution of models and a comparison of means for minimum temperature, maximum temperature and precipitation parameters was performed by the LSD (least-significant-difference) method. The results of this study indicate that the minimum and maximum temperatures will increase in all stations by 2099. However, the amount of precipitation varies according to the station, period and scenario used and does not follow the same pattern as the temperature parameter. Given that changes in climatic variables can drastically impact biotic and abiotic processes in rangelands, using these results in natural resource and rangeland vulnerability management can help with reducing damage and preparing for exposure to the destructive effects of climate change.

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