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Species distribution models (SDM) have been used to estimate potential geographic distributions of hundreds of species and plant communities. Nonetheless, very few studies have been conducted which attempted to model the distributions of mangrove species in future under climate change scenarios and under different sea surface salinity at a local level. The present study used a machine learning bas
