GOA-ON works to improve our understanding of global ocean acidification conditions and ecosystem responses by making ocean acidification data easily accessible. This data portal contains platforms and products measuring ocean acidification parameters around the world.
The GEOSS Portal is an online map-based user interface which allows users to discover and access Earth observation data and resources from different providers from all over the world.
The portal is implemented and operated by the European Space Agency and provides a single internet discovery and access point to the ever-growing quantities of heterogeneous collections of Earth observations from satellites, airplanes, drones and in-situ sensors at global, regional and local scales through the Global Earth Observation System of Systems (GEOSS).
A recently published paper, titled “Coastal proximity of populations in 22 Pacific Island Countries and Territories” details the methodology used to undertake the analysis and presents the findings. **Purpose** * This analysis aims to estimate populations settled in coastal areas in 22 Pacific Island Countries and Territories (PICTS) using the data currently available. In addition to the coastal population estimates, the study compares the results obtained from the use of national population datasets (census) with those derived from the use of global population grids.
The Multi-national Geospatial Co-production Program (MGCP) is a coalition of over 30 countries dedicated to producing high-resolution topographic vector data throughout high interest areas of the world. Data is extracted from high resolution imagery in 1° x 1° cells at a scale of 1:50 000. All data produced must meet a minimum horizontal circular error accuracy of 25m and meet MGCP Technical Reference Documentation (TRD) specifications, which details extraction guidelines and feature catalogues to ensure consistency.
The [Allen Coral Atlas](https://allencoralatlas.org/) combines high resolution satellite imagery, machine learning and field data to produce globally consistent benthic and geomorphic maps of the world's coral reefs. The Atlas is funded primarily by [Vulcan Inc.](https://www.vulcan.com) (founded by the late Paul G.
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.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for French Polynesia in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
Resources for the SPREP Inform workshop in Samoa
Redlist species of Samoa as of 09/04/2019
A link to the Pacific Islands Protected Area Portal (PIPAP) which aims to facilitate the sharing of resources and expertise among the Pacific Islands Protected Area practitioners.
SPREP is leading the charge to make the Pacific Games in July in Samoa go plastic free in an awareness and outreach initiative aptly called Greening of the Games.
This dataset holds a draft report and a raw baseline data collected from a clean-up at Mulinu'u executed on the 11th May 2019 by the the Team Samoa Va'a, to contextualize solutions and interventions to address marine litter and plastic pollution.
Direct links to chart visualizations generated by the Inform portal based on data collection are also included.
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).
The Bycatch Management Information System (BMIS) focuses on bycatch mitigation and management in oceanic tuna and billfish fisheries*. It is an open resource useful for fishery managers, fishers, scientists, observers, educators and anyone with an interest in fisheries management. As a reference and educational tool, the BMIS aims to support the adoption and implementation of science-based management measures so that bycatch is managed comprehensively and sustainably.
The Database of Island Invasive Species Eradications (DIISE) attempts to compile all historical and current invasive vertebrate eradication projects on islands. The vast majority of the dataset is focused on invasive mammals. Data gathered from each project includes island location and characteristics, details about the eradication including focal species, methods and outcome, plus links and or contact details for learning more about the project.
A collection of Inform project training materials. You are free to download and use any of the training resources below. The PowerPoint presentations contain a complete set of slides, so please feel free to copy, delete or change slides, to fit the purpose of your country training.
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).