Global and regional environmental change such as land use and climate change have significant and interactive effects on forest. These integrated effects will undoubtedly alter the distribution, function and succession processes of forest ecosystems. In order to respond and adapt to these changes, it is necessary to understand their individual and integrated effects. In this study, we proposed a framework by using coupling models to gain a better understanding of the complex ecological processes. We combined an agent-based model for land use and land cover change (ABM/LUCC),an ecosystem process model (PnET- II), and a forest dynamic landscape model (LANDIS- II) to simulate the change of forest total aboveground biomass (AGB),which was driven by land use and climate change factors for the period 2010-2050 in Taihe County of southern China, where subtropical coniferous plantations dominate. We conducted a series of land use and climate change scenarios to compare the differences in forest total AGB. The results show that: (1) land use, including town expansion, deforestation and forest conversion, and climate change are likely to influence forest total AGB in the near future in Taihe County. (2) Although climate change will make a contribution to an increase in the forest total AGB, land use change can result in a rapid decrease in forest total AGB and play a vital role in the integrated simulation. The forest total AGB under the integrated scenario decreased by 33.13% (RCP2.6+land use), 32.92% (RCP4.5+land use), and 32.42% (RCP8.5+ land use) by 2050, which is in comparison to the results under separate RCPs without land use disturbance. (3) The framework can offer a coupled method to better understand the complex and interactive ecological processes, which may provide some supports for adapting to land use and climate change, improving and optimizing plantation structure and function, and developing measures for sustainable forest management.