Grasping the development dynamics of regional carbon information is the scientific basis for carrying out regional carbon balance planning. Based on the statistical yearbook data, the direct carbon emissions of Dongshan Island, Fujian Province as a whole and each industry from 2012-2021 were caculated. At the same time, industries and land use were combined to analyze their spatial patterns. Kernel Density analysis and the Kriging method were applied to analyze the spatial influence of carbon emission sources. The Gaussian plume model was used to spatially simulate the carbon emission dispersion of industrial point sources. The spatial differentiation of carbon emission of the Dongshan island was analyzed by the method of fishing nets and population correction, in order to explore the spatial distribution and spatial influence characteristics of carbon emission on the Island. The results showed that industry was the primary source of carbon emissions. The significant decrease of industrial carbon emissions in 2021 indicated that the conversion of energy types played an important role in industrial carbon emission reduction. The overall share of carbon emissions from fisheries was about 25%, which was one of the sources of carbon emissions that could not be ignored in the Island area. The spatial distribution of integrated carbon emissions on Dongshan Island had the basic characteristics of "point-like aggregation and surface-like diffusion". The industrial carbon emissions had the greatest impact on the surrounding areas, often forming a core area of carbon emission hotspots centered on the industrial carbon emission source points. This was followed by areas with higher carbon emissions as population gathering areas, hilly areas with the lowest carbon emissions. A cross-transition zone of carbon emissions was formed between different land use types. Finally, from the perspective of spatial impact of carbon emission, this paper proposed the spatial planning strategies of "encircling", "accompanying", and "intervening" carbon sinks according to different forms of carbon emission sources, which could serve as a reference for regional low carbon planning.