The maps highlights areas with significant shift in the shoreline by overlaying shoreline data from Nov 2021 and January 2022.
ADB Fisheries in the economies of the Pacific Island Countries and Territories 2009
Tuna Fisheries Status and Management in the Western and Central Pacific Ocean by Hampton SPC 2011
A global review of species-specific shark-fin-to-body-mass ratios and relevant legislation 2012
'achieving the sustainable use of deep-sea minerals for the use of humankind'
This document contains the metadata for the GEBCO Gridded Bathymetric Data 2020 dataset. GEBCO’s gridded bathymetric data set, the GEBCO_2020 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2020 Grid is based.
If the data sets are used in a presentation or publication then we ask that you acknowledge the source.This should be of the form: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9)
This document contains the terms of use for the GEBCO Gridded Bathymetric Data 2020 dataset. GEBCO’s gridded bathymetric data set, the GEBCO_2020 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2020 Grid is based.
Document giving detailed metadata for the Global Distribution of Seamounts and Knolls dataset.
Metadata for the Global Mangrove Watch dataset.
This is the report for the Reefs at Risk Revisited analysis. Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).
Metdadata file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.