The classification groups for the deepwater biological regions were driven by 30 environmental datasets including depth,
salinity and sea surface temperature.
*refer to pdf for more information*
reef associated bioregions of Vanuatu
*refer to pdf for more information*
Spatial dataset for reefs in Vanuatu. Source: Institute of Marine Remote Sensing (IMARS).
* Attribute details on reef type: barrier atoll-bank, barrier island, fringing island, land, non-reef, patch atoll-bank, patch island.
* Attribute details on depth: deep, land, shallow, variable.
There are not perfect data which describe the distribution and abundance of every marine habitat and species in the Pacific. And certainly not at a scale that is useful for national planning in the ocean. Bioregionalisation, or the classification of the marine environment into spatial units that host similar biota, can serve to provide spatially explicit surrogates of biodiversity for marine conservation and management. Existing marine bioregionalisations however, are at a scale that is too broad for national governments in the Pacific to use.
Samoa Protected Area (PA) data from the World Database on Protected Areas (WDPA), downloaded August 2019. This dataset includes both tables and spatial data.
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
This kml contains the lines that shows the global 24 nautical miles zone. It can be opened in any GIS software.
GIS Layer of buildings from SOPAC PACRIFI project
Districts in Samoa, limited metadata
GIS file (geojson format) displaying protected areas. This file complements the polygon file.