Predicting Potential Habitats of the Endangered Mangrove Species <i>Acanthus ebracteatus</i> Under Current and Future Climatic Scenarios Based on MaxEnt and OPGD Models.

ABSTRACT: Climate change threatens coastal biodiversity, necessitating proactive conservation for endangered species like the mangrove Acanthus ebracteatus. This study integrated the MaxEnt and OPGD models to simulate its potential suitable habitats under current and three future SSP scenarios (SSP126, SSP245, and SSP585). Based on the MaxEnt model, sea surface salinity (SSS_range), sea surface temperature (SST_max), soil texture (T_silt, T_sand), and annual precipitation (Bio12) were identified as the dominant factors influencing its distribution, with SSS_range emerging as the key constraint. Furthermore, interaction analysis using the OPGD model revealed significant synergistic effects, particularly between salinity and soil properties (q > 0.8), underscoring the importance of multi-factor

SUBMITTER: Chen J 

PROVIDER: S-EPMC12473658 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature