Awareness materials for the awareness at College of Micronesia- FSM
Pictures of the outreach
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.
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.
The PNG wind dataset is extracted from the 3TIER Global Wind Dataset, IRENA Global Atlas for Renewable Energy.
3TIER Global Wind Dataset can be downloaded from this link: https://irena.masdar.ac.ae/?map=324
May 25, 2019 At the request of the (OECMA) Oneisom Environment Conservation Management Association, EPA Chuuk held a workshop on Solid Waste Management at Truk Stop Hotel today. Mayor of Oneisom Municiapality, Mr Enrino Paul, Director of OECMA, Ms Evelyn Paul along with a number of coordinators from different Municipal groups attended the workshop. Concepts of waste management focusing on 3Rs, Segregation of waste, policies and regulations and Proper Disposal of wastes were some of the topics of today's workshop.
Photos from the meeting....
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.
End of Internship presentation on Pacific Climate Finance. Section are: climate finance challenges, overview of climate finance in the Pacific, and next steps.
This presentation has been edited to suit Senior Secondary students to help them know what the National Ozone Unit is doing under the Department of Environment in regards to carrier path ways.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
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.
GEBCO's aim is to provide the most authoritative publicly-available bathymetry of the world's oceans. It operates under the joint auspices of the International Hydrographic Organization(IHO) and the Intergovernmental Oceanographic Commission (IOC) (of UNESCO).
GEBCO produces and makes available a range of bathymetric data sets and products. This includes a global bathymetric grid; gazetteer of undersea feature names, a Web Map Service and printable maps of ocean bathymetry.
This dataset shows the global distribution of cold-water corals. Occurrence records are given for 86 Families under the subclass Octocorallia (octocorals; also known as Alcyonaria) and four Orders (in Class Anthozoa): Scleractinia (reef-forming corals), Antipatharia (black corals), Zoanthidae (encrusting or button polyps), and Pennatulacea (sea pens). Occurrence records are also available for the order sub-Order Filifera (lace corals) in Class Hydrozoa.
This dataset shows the global distribution of coral reefs in tropical and subtropical regions. It is the most comprehensive global dataset of warm-water coral reefs to date, acting as a foundation baseline map for future, more detailed, work. This dataset was compiled from a number of sources by UNEP World Conservation Monitoring Centre (UNEP-WCMC) and the WorldFish Centre, in collaboration with WRI (World Resources Institute) and TNC (The Nature Conservancy).
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.
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.
Resources for the SPREP Inform workshop in Samoa
Redlist species of Samoa as of 09/04/2019