The shorefishes of Ouvea, an isolated atoll in the Loyalty Islands group of New Caledonia, had not been surveyed prior to 1990. An extensive survey was conducted by ORSTOM between 1991 and 1992 to obtain baseline information on the shorefishes. A
total of 653 taxa among 72 families are now documented from this area. The most diverse families are the Labridae (69 species), Pomacentridae (58 species), Gobiidae (54 spccies),Serranidae (39 species), Chaetodontidae (31 species) and Apogonidae (28
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.
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).
OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution.
Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains.
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.
Arnavon Community Marine Conservation Area (ACMCA) was first established in 1995 and aims to conserve all species inhabiting the Arnavon Islands. Within the project MACBIO ACMCA was one of the focus areas. Analysis and lessons learned are summarised in this dataset. (2017)
The Solomon Islands National Waste Management and Pollution Control Strategy 2017-2026 is the country's roadmap for managing waste and controlling pollution in the natural environment for the next 10 years with the vision for clean, healthy and green happy isles. The strategy addresses 5 main waste streams: Solid Waste, Liquid Waste, Hazardous and Chemical Waste, Healthcare Waste and Electronic Waste.
Dataset containing all published State of Environment Reports for Solomon Islands in the previous years and the current draft 2018.
This report brings together data, literature and the outputs of a special workshop synthesizing information about the identified special, unique marine areas in Solomon Islands.
As one step in Marine Spatial Planning the MACBIO project developed bioregions, or the classification of the marine environment into spatial units that host similar biota across the South West Pacific. Based on a scientific, technical process draft bioregions were developed and discussed and confirmed during a workshop in February 2018 resulting in the report on Bioregions at national scale for the Solomon Islands.
Information on Ocean zones to be used within Solomon Islands Ocean Governance
Regional data on marine pollution. Observed marine pollution incidences in the Pacific.
Reports and documents on the status and trends of coral reefs in the Pacific and Solomon Islands.
Dataset that provides a direct link to Solomon Island's data hosted on the GBIF website / records.
Data on tuna catch and by-catch provided to the Western and Central Pacific Fisheries Commission. Data span the period 2013-2017.
Data indicating the proportion of mangroves (1.2%) in natural forest.