The Mount Yulong is taken as an example. Based on the relevance, comprehensiveness, rationality and operability, considering local cryospheric change features and the main influence factors, twenty indexes are chosen from the four systems: ecology, water resources, and economy and society system. To comprehensively evaluate the adaptive capacity to cryospheric change, an adaptive capacity evaluation system of ecological-economic system to cryospheric change and an adaptive capacity index model are established, which employ analytic hierarchy process (AHP) and multi-objective linear weigh-adding function method. It is found that water resources system adaptive capacity reduced between 1980 and 2008, owing to the decrease of total water resources, while the others systems had a rising tendency. Comprehensive adaptive capacity to cryospheric change has enhanced, because of the eco-environmental protection, development of economy, construction of transportation and increase of residents' income driven by tourism. The primary contribution to the enhancement is economy system, accounting for 37%, and the second is society system, accounting for 29%.