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This online interactive atlas is complimented by both a hard copy and e-copy. The Marine Atlas for the Tonga compiles over a hundred datasets from countless data providers and for the first time makes marine and coastal information accessible and usable as data layers and as raw data. The Tonga Marine Atlas was prepared by the Marine and Coastal Biodiversity Management in Pacific Island Countries (MACBIO) project

The Institute for Marine Remote Sensing (IMaRS) at the University of South Florida (USF) was funded by the Oceanography Program of the National Aeronautics and Space Administration (NASA) to provide an exhaustive worldwide inventory of coral reefs using high-resolution satellite imagery. By using a consistent dataset of high-resolution (30 meter) multispectral Landsat 7 images acquired between 1999 and 2002, USF characterized, mapped and estimated the extent of shallow coral reef ecosystems in the main coral reef provinces (Caribbean-Atlantic, Pacific, Indo-Pacific, Red Sea).

direct link to Tonga's data on the GBIF website

direct internet link to Tonga's climate change data portal.

direct link to species occurrences in Tonga on the GBIF website

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.

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)

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.