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
A direct internet link to easily access information on fisheries management in Tuvalu hosted on the FAO website
Waste audit and interview data collected by APWC in October 2019.
This dataset has all icons for Multilateral Environment Agreements such as SDGs and Aichi
A direct internet link to access data relating to Tuvalu's forest cover hosts on the Mongabay website.
Mongabay is the world's most popular site for rainforest information and a well-known source of environmental news reporting and analysis.
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).
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.
State of Environment (SoE) reports provide in-country partners with a process to gather data on current environmental indicators, document their status, and formulate a plan for keeping these indicators on track or developing policies and programs as needed. This SoE Toolkit dataset contains resources that serve as guides to help create up-to-date State of Environment reports.
The Strandings of Oceania database is a collaborative project between SPREP, WildMe and the South Pacific Whale Research Consortium to record stranding and beachcast data for whales, dolphins and dugongs throughout the Pacific. We use a platform called Flukebook. An account is needed to view or use data within Flukebook but the data is available for download here. You can submit data direct into Flukebook (preferably while logged in) or send a completed data form to SPREP for upload. Guidance on using the database is available :