CSV file containing species richness values and mapping parameters for marine species (with a probability of occurrence > 0.5) derived from AquaMaps. A total of 33,512 species were used in the generation of this file.
Coordinate system is WGS84 (ESPG 4326) with coordinates expressed in longitude and latitude.
Fields in this file are:
C-Square Code: unique identifier for grid
Longitude: longitude in decimal degrees
Latitude: latitude in decimal degrees
Species Count: number of species modeled at given point
Excel file with spreadsheets for each species. Downloaded from TREDS May 2021.
This dataset has information on coral reef cover and fish in Cook Islands.
Data is accurate and data points are sourced (in each row) but some documents have not been referenced e.g. Island strategic plans for those pa enua islands that have them. Based on 2017 documents but last worked on 27 March 2018.
Average hard coral cover for all sites in 2013
Figure 113: Total finfish density inside reef, 2007. (PROCFish 2009)
Sea cucumber densities (count per area) from four islands in Cook Islands, 2013. (Rongo et al, 2014)
Sea cucumber densities (count per area) from four islands in Cook Islands, 2013. (Rongo et al, 2014)
Marine pollution originating from purse seine and longline fishing vessel operations in the Western and Central Pacific Ocean, 2003-2015.
The data was collected by the Secretariat of the Pacific Community's Observer Programme
Maps and associated data from the Turtle Research and Monitoring Database System (TREDS). A summary of the database can be found below.
The Turtle Research and Monitoring Database System (TREDS) provides invaluable information for Pacific island countries and territories to manage their turtle resources. TREDS can be used to collate data from strandings, tagging, nesting, emergence and beach surveys as well as other biological data on turtles.
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.
CSV file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.