33 results
 SPREP Environmental Monitoring and Governance (EMG)

Dataset includes various regional-scale spatial data layers in geojson format.

 OERC - Environmental Response and Coordination, Palau

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.

 Secretariat of the Pacific Regional Environment Programme

Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation.

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 Secretariat of the Pacific Regional Environment Programme

The dataset contains a range of different Pacific regional maps developed by the SPREP GIS team and is available for use by members and partners.

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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

 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.

This dataset contains mapped point locations for protected areas within Palau. This dataset should be viewed in combination with the World Database on Protected Areas polygon locations to get a comprehensive view of all protected areas within Palau.

This dataset contains mapped polygon locations for protected areas within Palau. This dataset should be viewed in combination with the World Database on Protected Areas point locations to get a comprehensive view of all protected areas within Palau.

GIS file (geojson format) displaying protected areas in Palau.

 Secretariat of the Pacific Regional Environment Programme

Dataset regarding 'Seamounts' - peaks that rise over 1,000 m above the seafloor. Seamount chains occur in all three major ocean basins, with the Pacific having the most number and most extensive seamount chains.

 Secretariat of the Pacific Regional Environment Programme

A direct internet link to and resources pertaining the Blue Habitat website which has been established as a portal for information on the global distribution of marine ‘blue’ habitats. Knowledge on the distribution of blue habitats is an important input into ocean management, marine spatial planning and biodiversity conservation.

 SPREP Island and Ocean Ecosystems (IOE)

Maps and associated data from the Turtle Research and Monitoring Database System (TREDS). A summary of the database can be found below.

The Turtle Research and Monitoring Database System (TREDS) provides invaluable information for Pacific island countries and territories to manage their turtle resources. TREDS can be used to collate data from strandings, tagging, nesting, emergence and beach surveys as well as other biological data on turtles.

Raster data representing the mean levels of calcite in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.

Raster data representing the mean levels of current velocities in meters/second for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.

Raster data representing the mean levels of iron in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.

Raster data representing the mean levels of pH for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.

Raster data representing the mean levels of photosynthetically active radiation (PAR) in E/m2/year for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.

From the Turtle Research and Monitoring Database System (TREDS)