The biodiversity of the Pacific region is recognised as being globally significant. The Solomon Islands was recently included into the famous "Coral Triangle", the area of ocean considered to have the highest marine biodiversity in the world. This includes the waters of the Philippines, Indonesia and Papua New Guinea. The Solomon Islands Rainforest Ecoregion is recognised as "one of the world's great Centres of Plant Diversity"
Offshore Environment Tuna, Sharks and other targeted species Cook Islands
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey.
The dataset is included the Digital Atlas of Micronesia, module Pohnpei, by Island Research & Education Initiative (iREi), in collaboration with Water and Environmental Research Institute of the Western Pacific (WERI) University of Guam and partial funding from United States Geological Survey (USGS), under WRRI 104-B Program, project # 2016GU302B.
This dataset the extent of coral reefs around Pohnpei. The data layer shown here is a subset of Pohnpei base layer. The original data, so-called Digital Line Graphs (DLSs), were created by U.S. Geological Survey (USGS) for the 1:25,000-scale topographic maps (2001). The shoreline was modified by by University of Guam (UOG) (2017) based on 2016 Worldview-3 satellite imagery from Digital Globe. The dataset was slightly shifted and also updated (mainly around Kolonia and its vicinity).
This dataset shows the extent and basic types of sea grass areas around Pohnpei. It classifies sea grass areas by one of the three main species (Cymodocea rotundata, Thalassia hemprichii, and Enhalus acaroides) and the level of coverage (describes as continuous, aggregated, and isolated). The data source is McKenzie, L.J. and Rasheed, M.J. (2006), Seagrasses: Pohnpei Island and And Atoll Marine Assessment, Technical report of survey conducted 26 October 3 November 2005, SeagrassWatch HQ, DPI&F, Cairns, 60pp.
This dataset shows the areas of biological significance (ABS) on Pohnpei. The original dataset was created by The Nature Conservancy. A subset to show only Pohnpei was created by the Island Research & Education Initiative (iREi). These data are intended to capture those areas that represent the wide range of biodiversity features in the marine and terrestial areas of FSM. They are used to guide conservation planning and projects in FSM, and ultimately to help establish conservation areas. Polygons capturing expert knowledge from FSM Blueprint project.
PNG roads: these spatial datasets provide the delimitation of primary, secondary and tertiary roads and tracks in Papua New Guinea. The OSM dataset includes attribute information includes OSM id and road names in English where known and comprehensive track network for the mainland. This dataset can be complemented by the National Mapping Bureau (NMB) (2000) dataset. The NMB dataset includes comprehensive road network in both mainland and non-mainland districts and road surface attributes. Source: Open Street Map; Papua New Guinea National Mapping Bureau. Contributor: OCHA ROAP.
Draft 3 (13/6/8) Independent State of Papua New Guinea 2008 A bill for the "Papua New Guinea Institute of Biodiversity Act 2008"
Research papers on rural development and poverty in PNG as part of the Asia-Pacific Viewpoint Journal Volume 46.
The objectives of this Act are–
(a) to protect the environment and conserve biological diversity; and
(b) to ensure that proper weight is given to both the long-term and short-term
social, economic, environmental and equity considerations in deciding all
matters relating to access to, use and management of the country’s unique
biological resources; and
(c) to protect and sustain the potential of biological and physical resources
against threats posed by bio-piracy and other related illegal activities to
13 paged paper which argues that poverty in PNG is significantly located in the most isolated and environmentally disadvantaged parts of rural PNG, where development has not occurred to any extent and where a number of severe constraints make it unlikely to occur.