Forests are under pressure from land use change due to anthropogenic activities. Land use change and harvest are the main disturbances of forest landscape changes. Few studies have focused on the relative contributions of different disturbances. In this study, we used the CA-Markov model, a land-use change model, coupled with a forest landscape model, LANDIS-II, to simulate dynamic change in Taihe County, China, from 2010 to 2050. Scenarios analysis was conducted to quantify the relative contributions of land use change and harvest.

When developing land to meet various human needs, conducting assessments of different alternatives regarding their sustainability is critical. Among different alternatives of land-use, devoting land to bioenergy is relatively novel, in high demand, and important for addressing the energy crisis and mitigating carbon emissions. Furthermore, the competition and disputes among limited land-use for bioenergy and the combination of food production and housing are tense. Thus, which alternative of land-use is more sustainable is an important question, yet it is still under-investigated.

Land in rural China has been under a separate and closed management system for decades even after the urban land reform that started in the late 1980s. The blurred property rights over rural land have been hindering the rural welfare as surplus rural land in sub-urban areas cannot be circulated into more economic use without first being requisitioned by the state. This traditional conversion process creates a lot of problems, among them are the compensation standard as well as displacement of rural residents to the city, where they cannot find adequate welfare protection.