Summary table of the status of Pacific Island countries in relation to International and Regional conventions.
Marine pollution originating from purse seine and longline fishing vessel operations in the Western and Central Pacific Ocean, 2003-2015.
The data was collected by the Secretariat of the Pacific Community's Observer Programme
This publication features fourteen (14) case studies from small island developing states from the Caribbean,
the Atlantic Ocean, the Indian Ocean, and the Pacific Ocean. The stories range from conserving marine resources
and endangered species to initiatives in ecotourism, reforestation and network development.
This manual is designed for fisheries and environmental officers, and non-governmental partners who are
tasked with assessing the state of fisheries resources and macro-invertebrate communities.
This dataset has all icons for Multilateral Environment Agreements such as SDGs and Aichi
This guide introduces environmental indicators and provides an overview of SPREP’S core indicators for Pacific island countries. In 2012, the SPREP members approved the development of a set of standardised indicators for use by member countries at the SPREP meeting. Through the Inform project, SPREP programmes then developed a set of 34 indicators that was endorsed by members at the 2018 SPREP meeting. This document explains the development and use of environmental indicators in Part 1 and provides a summary of each of the 34 ‘core’ indicators in Part 2.
The Strandings of Oceania database is a collaborative project between SPREP, WildMe and the South Pacific Whale Research Consortium to record stranding and beachcast data for whales, dolphins and dugongs throughout the Pacific. We use a platform called Flukebook. An account is needed to view or use data within Flukebook but the data is available for download here. You can submit data direct into Flukebook (preferably while logged in) or send a completed data form to SPREP for upload. Guidance on using the database is available :
"Comparison of the average hard coral cover between the three five-year periods comprising the last 15 years (2005-09, 2010-14, 2015-19, Tab. 9.3) indicated that there was a high degree of confidence (93%) in the long-term decline, despite the uncertainty in individual yearly estimates. Further, the vast majority (90%) of this decline occurred between 2010-14 and 2015-19, suggesting that the rate of decline in hard coral cover has accelerated during the last five years"
"Comparison of the average hard coral cover between the three five-year periods comprising the last 15 years (2005-09, 2010-14, 2015-19, Tab. 9.3) indicated that there was a high degree of confidence (93%) in the long-term decline, despite the uncertainty in individual yearly estimates. Further, the vast majority (90%) of this decline occurred between 2010-14 and 2015-19, suggesting that the rate of decline in hard coral cover has accelerated during the last five years"
There are 14 terrestrial PAs, which total at least 1407.2 hectares (five PAs are uncalculated), or about six per cent of the Cook Islands’ total 240 km2 land mass. Terrestrial PA are concentrated in a few locations. Three of the 15 islands in Cook Islands are wildlife reserves (Suwarrow, Takutea and Manuae), almost 40% of the terrestrial PAs are represented by four motu on Pukapuka, and three of Rarotonga’s four PAs make up 36% of total terrestrial PAs.
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.
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.
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 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 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.
Bioregions, of course, are just one of the important data layers in indentifying an ecologically representative system of marine protected areas. To be truly ecologically representative and comprehensive, one must also consider all available information about habitats, species and ecological processes. In addition, socio-economic and cultural considerations are vital in the spatial planning process. This report is focussed upon one important, but only one, input to marine spatial planning: the development of marine bioregions.
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.
The Sea Around Us is a research initiative at The University of British Columbia (located at the Institute for the Oceans and Fisheries, formerly Fisheries Centre) that assesses the impact of fisheries on the marine ecosystems of the world, and offers mitigating solutions to a range of stakeholders.
The Sea Around Us was initiated in collaboration with The Pew Charitable Trusts in 1999, and in 2014, the Sea Around Us also began a collaboration with The Paul G. Allen Family Foundation to provide African and Asian countries with more accurate and comprehensive fisheries data.
The Western and Central Fisheries Commission (WCPFC) have compiled a public domain version of aggregated catch and effort data using operational, aggregate and annual catch estimates data provided by Commission Members (CCMs) and Cooperating Non-members (CNMs). The data provided herein have been prepared for dissemination in accordance with the current “Rules and Procedures for the Protection, Access to, and Dissemination of Data Compiled by the Commission” or (“RAP”).
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications).