Raster data representing the mean levels of calcite in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of current velocities in meters/second for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of iron in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of pH for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of photosynthetically active radiation (PAR) in E/m2/year for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Metadata file for the GIS data (raster and shapefiles) for the global threats to coral reefs: acidification, future thermal stress, integrated future threats, and past thermal stress.
Metadata file for the GIS data (raster and shapefiles) for the local threats to coral reefs: coastal development, integrated local, marine pollution, overfishing, and watershed pollution.
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
Excel file with spreadsheets for each species. Downloaded from TREDS May 2021.
The SPREP ID map is a high resolution (1MB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.
The SPREP ID map is low resolution (200KB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.
The map is high resolution showing SPREP member countries' Exclusive Economic Zone (EEZ) boundaries overlaid on a bathymetric base layer that was developed by the GIS team at SPREP.
The map is low resolution showing SPREP member countries' Exclusive Economic Zone (EEZ) boundaries overlaid on a bathymetric base layer that was developed by the GIS team at SPREP.
In 2007, a total of 230 species found in Palau were listed on the International Union for Conservation of Nature and Natural Resource (IUCN) Red List as vulnerable to some degree including 53 species listed as near threatened, vulnerable, or endangered 64 species listed as data deficient.