35 results
 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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 Pohnpei State NGO

Invasive Species Taskforce of Pohnpei (iSTOP) strives to enhance and preserve the natural biodiversity of Pohnpei State through collaborative efforts at all levels of our society while cooperating with neighboring states and countries to identify, prevent, and eradicate or manage/control invasive species.

 Department of Environment, Climate Change & Emergency Management (DECEM), FSM,  Environmental Protection Agency (EPA) - Pohnpei State, FSM

Maps of AF project sites on Nukuoro and Kapingamarangi islands

Micronesia

 The Nature Conservancy

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. The WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN).

 Department of Environment, Climate Change & Emergency Management (DECEM), FSM,  Environmental Protection Agency (EPA) - Pohnpei State, FSM,  Pohnpei State Government

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)

From the Turtle Research and Monitoring Database System (TREDS)

From the Turtle Research and Monitoring Database System (TREDS)

From the Turtle Research and Monitoring Database System (TREDS)

From the Turtle Research and Monitoring Database System (TREDS)

From the Turtle Research and Monitoring Database System (TREDS)

The SPREP ID map is a high resolution (1MB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.

The SPREP ID map is low resolution (200KB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.

The map is high resolution showing SPREP member countries' Exclusive Economic Zone (EEZ) boundaries overlaid on a bathymetric base layer that was developed by the GIS team at SPREP.