Global climate change and sustainable development are the two most important challenges worldwide. Patterns of precipitation, includes quantity, intensity and distribution, are expected to change. Subsequently, soil moisture content is expected to followed the precipitation pattern changes, which would affect the aboveground biomass and soil microorganisms activity. The latter would consequently affect the structure and functioning of terrestrial ecosystem. Therefore, it is critical to understand how ecosystem structure and function will respond to the expected changes of precipitation pattern. Many large controlled field experiments modify the precipitation pattern change. Most of those studies have been focusing on species composition, productivity and soil respiration. Soil microorganisms are sensitive to micro-environmental changes, which drive the soil nutrient cycling, as well as ecosystem processes such as soil material conversion and energy flow. Therefore, they have been recognized as sensitive indicator of soil ecosystem. As a consequence, soil microorganisms have been a popular research topic in pedology, and have become an extremely important and relatively quick growing research field. Forest ecosystem can contribute greatly to adjust of global climate change. Broad-leaved Korean pine mixed forest is zonal climax vegetation in northeastern China, and it plays a significant ecological role in this region. We selected Changbai Mountain to study the microbial feedbacks to the precipitation changes. Soil microbial functional diversity and its changes driven by precipitation change (30% increase and decrease) were measured in different layer soil (0-5cm, 5-10cm and Korean pine rhizosphere soil), using the Biolog microplate. Our results showed that the average well color development (AWCD) value were highest in the increased precipitation plots, and lowest in the control plot at the beginning of the cultivation. however, it did not have an obvious pattern with precipitation regime at the end of cultivation. Throughout the whole incubation periods, the AWCD value in rhizosphere soil was higher than in surface soil. Shannon-Wiener, Simpson, and McIntosh diversity indices showed no significant difference between different layers and precipitation patterns. This suggest that precipitation increasing or decreasing with 30% had no significant effect on functional diversity of different layers or the rhizosphere soil in broad-leaved Korean pine mixed forest. However, the utilization intensity of six categories carbon sources types were specified. Amino acids, carbohydrate and polymers were the main carbon sources with a high utilization rate, especially the amino acids. The microbial functional diversity under different precipitation conditions showed that the spatial heterogeneity was reflected the use of amino acids and carbohydrate by microrganisms. N-Acetyl-D-Glucosamine, D-cellobiose, and α-D-Lactose was the most specified carbon sources to microbes. This evaluation of microbial functional diversity in bulk soil and rhizosphere soil under different precipitation patterns can help other researchers to summarize the patterns and mechanism of microorganism responses to precipitation change. It is also provide a scientific reference for further study on climate change.