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Land use/cover change (LUCC) is a direct driver of the carbon balance in terrestrial ecosystems, and its impact on global warming is second only to fossil fuel and industrial emissions. Forest ecosystem is the largest carbon pool in terrestrial ecosystems and has an important role to play in addressing global climate change and achieving carbon neutrality targets. However, the limited LUCC data make the impact of LUCC on carbon emissions greatly underestimated, and the lack of spatiotemporal LUCC data in the context of future climate also makes revealing the response of forest carbon cycle to LUCC face many uncertainties. How to simulate LUCC and analyze the impact of LUCC on the carbon cycle of forest ecosystems is a hot topic of research at domestic and international level. This paper systematically summarized the spatiotemporal LUCC simulation methods, forest carbon balance estimation methods and the progress of research on the impact of LUCC on forest carbon cycle, and listed and analyzed the advantages, applicability and problems of different models and methods. Through the literature review, it is pointed out that using remote sensing data as a basis to simulate LUCC and driving ecosystem process models to achieve accurate spatial and temporal simulation of forest ecosystem carbon cycle is one of the current trends and development trends in future carbon cycle research.