12 results
 Secretariat of the Pacific Regional Environment Programme

AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These 'environmental envelopes' are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species.

 Secretariat of the Pacific Regional Environment Programme

This dataset shows the modelled global patterns of above-ground biomass of mangrove forests. The dataset was developed by the Department of Zoology, University of Cambridge, with support from The Nature Conservancy. The work is based on a review of 95 field studies on carbon storage and fluxes in mangroves world-wide. A climate-based model for potential mangrove above-ground biomass was developed, with almost four times the explanatory power of the only previous published model.

 Secretariat of the Pacific Regional Environment Programme

This is a MaxEnt model map of the global distribution of the seagrass biome. Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). This map shows the suitable habitats for the seagrass distribution at global scale.

 Solomon Islands Ministry of Environment,  Climate Change,  Disaster Management and Meteorology

Maps, reports, pictures, spreadsheet, charts of Eco-bag in Solomon Islands 2014

 Pacific Data Hub

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).

 Pacific Data Hub

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).

 Cook Islands National Environment Service

Planning resource for integrated action planning for the management of the Cook Islands marine environment

 Secretariat of the Pacific Regional Environment Programme

The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management.

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 Ministry of Natural Resources and Environment (MNRE),  Samoa

Pursuant to the Fisheries Act 1988, I, MALIETOA TANUMAFILI II, Head of State acting on the
advice of Cabinet DO HEREBY MAKE the following regulations : LOCAL FISHERIES REGULATIONS 1995

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 NEPC - National Environment Protection Council,  Palau

Location and distribution of MPAs on the east side of Babeldaob. Data obtained from WDPA dataset

 PNG Conservation and Environment Protection Authority

Measuring change over period 2002-2014

 Climate Change Directorate

RMI Protected Areas data from the World Database on Protected Areas (WDPA), downloaded August 2019. This dataset includes both tables and spatial data.