The combined Pacific 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).
Resources for the SPREP Inform workshop in Samoa
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).
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, the .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).
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 the .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).
Concise environmental legislative reviews of Pacific Island countries plus Tokelau. **Please submit new information or corrections as the reviews will be updated annually.**
This is a test for upload invasive species document
Report on Invasive Plant Species in Cook Islands
Data on the Kakerori or the Rarotonga Flycatcher in Cook Islands
This dataset provides the timeline of major natural disasters that have affected islands in the FSM, compiled by Whitney Hoot and Danko Taborosi of Island Research & Education Initiative (iREi), from the year 1775 to 2012.
FSM Protected Areas (PA) data from the World Database on Protected Areas (WDPA), downloaded August 2019. This dataset includes both tables and spatial data.
This is a dataset provided by NES in 2014
Samoa Protected Area (PA) data from the World Database on Protected Areas (WDPA), downloaded August 2019. This dataset includes both tables and spatial data.
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 :
Protected areas of Palau. Data sourced from: IUCN and UNEP-WCMC (2018), The World Database on Protected Areas (WDPA) [On-line], [July 2018]. Cambridge, UK: UNEP-WCMC. Available at: www.protectedplanet.net.
Location and distribution of MPAs on the east side of Babeldaob. Data obtained from WDPA dataset