This resource is a zip file containing the aggregated catch data (.csv) for the Timor-Leste Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
This resource is a zip file containing the aggregated catch data (.csv) for the Tokelau Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
This resource is a zip file containing the aggregated catch data (.csv) for the Tonga Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
This resource is a zip file containing the aggregated catch data (.csv) for the Tuvalu Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
This resource is a zip file containing the aggregated catch data (.csv) for the Vanuatu Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
This resource is a zip file containing the aggregated catch data (.csv) for the Samoa Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
This resource is a zip file containing the aggregated catch data (.csv) for the Wallis and Futuna Exclusive Economic Zone, relevant literature, and methods/metadata for the tabular catch data.
Zip file containing shapefile and metadata for deepwater bioregions of the Southwest Pacific Ocean. Thirty, mainly physical, environmental variables were assessed to be adequately comprehensive and reliable to be included in the analysis. These data were allocated to over 140,000 grid cells of 20x20 km across the Southwest Pacific. K-means and then hierarchical cluster analyses were then conducted to identify groups of analytical units that contained similar environmental conditions.
Zip file containing shapefile and metadata for reef-associated bioregions of the Southwest Pacific Ocean. Thirty, mainly physical, environmental variables were assessed to be adequately comprehensive and reliable to be included in the analysis. These data were allocated to over 140,000 grid cells of 20x20 km across the Southwest Pacific. K-means and then hierarchical cluster analyses were then conducted to identify groups of analytical units that contained similar environmental conditions.
Animated Key Messages from the State of Environment and Conservation in the Pacific : 2020 Regional Report
Bioregions, of course, are just one of the important data layers in indentifying an ecologically representative system of marine protected areas. To be truly ecologically representative and comprehensive, one must also consider all available information about habitats, species and ecological processes. In addition, socio-economic and cultural considerations are vital in the spatial planning process. This report is focussed upon one important, but only one, input to marine spatial planning: the development of marine bioregions.
This dataset holds all media resources for the State of Environment and Conservation in the Pacific Islands: 2020 Regional Report
This dataset has all icons for Multilateral Environment Agreements such as SDGs and Aichi
Resources for the SPREP Inform workshop in Samoa
The InterRidge Vents Database is a global database of submarine hydrothermal vent fields. The InterRidge Vents Database is supported by the InterRidge program for international cooperation in ridge-crest studies (www.interridge.org).
The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).
This dataset shows the global distribution of seamounts and knolls identified using global bathymetric data at 30 arc-sec resolution. A total of 33,452 seamounts and 138,412 knolls were identified, representing the largest global set of identified seamounts and knolls to date. Seamount habitat was found to constitute approximately 4.7% of the ocean floor, whilst knolls covered 16.3%.
The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN).