【Objective】Masson pine (Pinus massoniana) is an important species which is widely distributed in the subtropical zone in China. According to the national climate change assessment report,the temperature in China has raised by 0.5-0.8 ℃. The mean ground temperature in China might be raised by 3.9-6.0 ℃ to the end 2100. The method for detecting the response of biomass of Masson pine to climate change are the foundation for estimating forest biomass accurately. However,the effects of climate change on each component (wood,bark,branch and foliage) biomass in traditional systems of biomass equations without being considered. Therefore,in this study,the prediction accuracy of biomass was improved by developing a system of climate-sensitive biomass compatible equations.【Method】In this study, the method on developing systems of climate-sensitive biomass compatible equations using nonlinear simultaneous equations were proposed in detail based on the biomass data from 150 individual trees of Masson pine. The two-predictor equations with independent variables including diameter at breast height and total tree height were selected as base models for each components to develop the system of climate-sensitive biomass compatible equations. The one-fold cross validation was applied for model evaluation.【Result】Compared with the traditional biomass models without including climate factors,the prediction accuracy of the system of climate sensitive biomass compatible equations was substantially increased. In addition,the differences of biomass among different subtropical zones were also explained by the proposed system of climate sensitive biomass compatible equations,which ensured the sum of wood,bark,branch and foliage biomass equal to the total biomass.【Conclusion】The system of climate sensitive biomass compatible equations proposed in this study could be used as an effective tool to analyze the effects of climate change on each component biomass.