A machine learning framework to assess global mangrove forestation potential under current and future climate scenarios

Key Points

• Mangrove forestation potential is predicted to change significantly under different climate scenarios, informing conservation strategies.
• A machine learning approach estimates mangrove biomass across several regions, revealing variability in forestation potential.
• This analysis employs advanced predictive modeling to assess the impact of climate on mangrove ecosystems globally.
• Findings highlight the importance of adaptive management in enhancing ecosystem services provided by mangroves.