【Objective】Strengthen the research on the interactive mechanisms and spatial correlation between forest carbon sinks and low-carbon economic development, aiming to provide a scientific foundation for regional forest resource management.【Method】This study leveraged forest carbon sink and low-carbon economy system indicator data from 31 provinces (municipalities and autonomous regions) in China, spanning the years 2008 to 2018. Utilizing a comprehensive evaluation model, kernel density estimation, and bivariated spatial autocorrelation, we analyzed the spatiotemporal dynamics of forest carbon sinks and low-carbon economies, as well as their spatial correlation characteristics.【Result】The spatial distribution of forest carbon sinks in China is transitioning from a “dual-core dominance” model to a more balanced “dual-core with a secondary core” pattern. Concurrently, the level of low-carbon economic development continues to rise, with its spatial pattern evolving from a “strip-cluster-area” structure. At the macro level, the Moran’s I values for 2008, 2013, and 2018 are -0.24, -0.26, and -0.26, respectively. These values underscore the persistent presence of the “resource curse” phenomenon. At the micro level, the spatial patterns of forest carbon sinks and low-carbon economies exhibit distinct aggregation characteristics: low-low and high-low aggregations are observed in contiguous distributions, while high-high and low-high aggregations appear in dispersed distributions.【Conclusion】It is imperative to seize the strategic opportunity of the dual-carbon goals (carbon peak and neutrality), leverage our forest resource advantages to facilitate a well-planned low-carbon economic transition, establish exemplary models of dual-driven development featuring both emission reduction and carbon sink enhancement, and explore regionally differentiated approaches to balance forest carbon sequestration with low-carbon economic development.