Abstract:【Aim】 Lantana (Lantana camara L.) is among the world's top 10 most harmful invasive weeds. Understanding its potential change in distribution is crucial. 【Method】 We focused on L. camara, utilizing data from 1744 effective distribution points and ten climate factors. We applied the MaxEnt model in combination with ArcGIS software, assessing both current climate conditions and six different climate scenarios: 2050sSSP126, 2050sSSP245, 2050sRCP5.8, 2090sSSP126, 2090sSSP245 and 2090sSSP585 to forecast the potential range of L. camara worldwide. 【Result】Annual precipitation (bio12, 48.6 %), mean temperature in the driest season (bio9, 36.4 %), temperature seasonality (bio4, 4.6 %), and mean temperature in the hottest season (bio10, 4.2 %) played the primary roles in shaping the distribution pattern of L. camara. Regions at high risk of invasion include South America, southern Africa, southern Asia, and northern and eastern Australia. The projects for 2050-2090 showed an expansion to suitable zones, particularly in high-suitability areas. 【Conclusion】 Strict prevention and control measures against L. camara invasion are crucial for preserving the integrity of native ecosystems.