The Khaled bin Sultan Living Oceans Foundation completed field research for one of the largest coral reef studies in history: the Global Reef Expedition. The Expedition travelled around the globe surveying some of the most remote reefs on the planet, conducting research to assess coral reef ecosystem health and resiliency.
The Global Reef Expedition visited many countries in the Pacific Ocean to assess the health and resiliency of their coral reef ecosystems. See links below for more information, reports and maps.
The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. The WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN).
This project has developed sub-regional bioregionalisations for the western-south Pacific Ocean, through expert workshops and novel statistical analysis of physical and biological data. This combines approaches CSIRO developed in Australia, used in the Bay of Bengal (in collaboration with BOBLME) with similar approaches that have been used throughout the Indian and Pacific Oceans to derive a single combined bioregionalisation.
Comprehensive assessment of the risks and impacts of seabed mining on marine ecosystems by Fauna and Flora International.
This guide helps communities understand the pressures people may place on beaches and suggests how natural processes or ecosystem based approaches can be used can encourage sand to come back and stay put.
Metdadata file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.
Metadata for the Global Mangrove Watch dataset.
Document giving detailed metadata for the Global Distribution of Seamounts and Knolls dataset.
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.
'achieving the sustainable use of deep-sea minerals for the use of humankind'
Map of the protected areas for the Pacific Islands Region with regional-level summary statistics on the amount of area under protection, count for each type of protected area (terrestrial or marine), and the count of their designation.
Dunstan et al. 2018. Bioregions of the South West Pacific Ocean. CSIRO, Australia.
Fauna & Flora International (FFI). 2020. An Assessment of the Risks and Impacts of Seabed Mining on
Marine Ecosystems. FFI: Cambridge U.K. Available from: www.fauna-flora.org
This guide was written for governments, community groups and NGOs to address coastal protection issues through ecosystem based adaptation interventions. The work was developed as a partnership between SPREP and the University of Tasmania with funding from Australian Aid and the participation of the governments of Kiribati, Samoa, Vanuatu and Tonga.
Thisstudy provided the repeatable analysis framework to estimate the coastal population by utilizing the best available global and national datasets in Pacific (poor data environment).
A recently published paper, titled “Coastal proximity of populations in 22 Pacific Island Countries and Territories” details the methodology used to undertake the analysis and presents the findings. **Purpose** * This analysis aims to estimate populations settled in coastal areas in 22 Pacific Island Countries and Territories (PICTS) using the data currently available. In addition to the coastal population estimates, the study compares the results obtained from the use of national population datasets (census) with those derived from the use of global population grids.