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ln order to study the ecological risk of invasion of China's coastal wetlands, the coastal wetland in eastern Fujian was taken as the research area. Based on the driving force-pressure-state-impact-response ( DPSIR) model, we aimed to analyze the spatial distribution of remote sensing methods and technologies, remote sensing images, and field measurement data and meteorological data, as well as socio-economic statistical daLa and other data. These were combined to construct the ecological risk assessmenL index sysLem of Spartina altemiflora invasion. The results showed that the ecological risk of the Xiapu coasLal wetland experienced an increasing trend from 2006 to 2016, but the risk increased slowly, and patches were relatively concentrated over the next 5 years. From 2006 to 2016, the area of extremely high ecological risk increased continuously, with a total increase of 12 583.00 hm² in 10 years. The area of high ecological risk decreased continuously with a total decrease of 2 509.92 hm², whereas the area of medium ecological risk increased by 4 433.04 hm² in 10 years. The area of low ecological risk was the largest, with the area decreasing by 5 593.50 hm² first and then increasing by 990.23 hm², totaling 4 603.28 hm² of decreased area. The area of extremely low ecological risk continuously decreased, thereby reaching 9 912. 20 hm² in 10 years. From the distribution scope, the extremely high and high ecological risks were mainly located southeast of the research area, and medium ecological risk was concentrated in the central area, whereas the extremely low and low ecological risks were mainly in the northwest of the research area. The general distribution gradient from northwest to southeast tansitioned from areas of extremely low ecological risks and low ecological risks to medium ecological risks, high ecological risks, extremely high ecological risks, then medium ecological risks, and again low ecological risks. High-risk areas were mainly concentrated in Xinan Town, the eastern part of Songg, the western part of Xiahu Town, and Clumgclmn Town, and the central part of Shajiang Town and Sansha Town. the low-risk, was were mainly distributed west of Baiyang Township, Chongru She Nationality Township, Watergate She Nationality Township, Songcheng, the western part of Yacheng Town, and part of Songgang and Yantian She Nationality Township. Our results concluded that the spatial and temporal distributions of ecological risks in the study area are closely related to the structure and intensity of land use and human activities. [ABSTRACT FROM AUTHOR]