Data for "Future anthropogenic global mangrove loss and the key role of protected areas in mangrove conservation"

Content (spatial resolution, data info) Historical data of mangrove cumulative loss ratio (1km, 1 ZIP) Mangrove table input to the machine learning model (1 table) Various raster data required for spatial prediction under the SSP1 and SPP5 scenarios in 2030, 2050 and 2100, including gross domestic product (gdp), population density (pop), and human footprint (hf), accessibility to humans ( Euclidean distance to cities and roads), agricultural suitability (coconut, coffee, oil palm, rice, rubber, and sugarcane), the exposure to water sources (Euclidean distance to rivers and coastlines), and the status of PAs. (1km, 6 raster file) Results of mangrove cumulative loss ratio under SSP1 and SPP5 scenarios in 2030, 2050 and 2100 (1km, 6 raster file) All processing R codes can be accessed: https://github.com/2pangp/Mangrove-TidalFlat_Distribution