This resource is a zip file containing the aggregated catch data (.csv) for the French Polynesia 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 Solomon Islands 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 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 report was presented by Tuvalu during the 3rd international conference on small island developing states. It reported the status of sustainable development (SD), outlining the good progress that has been achieved in the pursuit of sustainable development as the country follows the strategies recommended by the international community for small island developing states (SIDS).
A direct internet link to easily access information on fisheries management in Tuvalu hosted on the FAO website
This academic paper investigates the vulnerability of households to climatic disasters in the low-lying atoll nation of Tuvalu. Using the most recent household surveys available, the authors constructed poverty and hardship profiles for households on the different islands of Tuvalu, and combine these with geographic and topographic information to assess the exposure differentials among different groups using spatial econometric models.