The development of Papua New Guinea National Oceans Policy is at an important juncture of the country’s history in that we recognize our land resources are gradually being exploited at a rapid pace in achieving our country’s Vision by 2050, responsible sustainable development measure; and, shift of the Government and our communities’ focus into the ocean sector must be embraced as the long term measure- “a No Regrets Option”.
Customary land registration processes can easily be captured by local ‘big men’ and companies with disastrous consequences for local people. This is the conclusion drawn in a study on recent oil palm expansion in Papua New Guinea by academic Caroline Hambloch from the University of London.
This paper analyses the perceptions of 120 landowner-households of Nanadai Clan of Gaire Village in Central Province and Sek Clan of Madang Province concerning breaking apart of communal ownership of customary land in PNG.
A prospective study was carried out at Losuia Health Centre (LHC), Alotau Provincial Hospital (APH) and Port Moresby General Hospital (PMGH) in PNG. At each setting >300 consecutive prescriptions were evaluated in 2010. Diagnosis and prescribing data were collected from written prescription orders, patient health books and by patient interview. The appropriateness of prescribing was evaluated with respect to the relevant PNG Health Department guidelines. Differences in prescribing indices were evaluated using chi-squared tests as appropriate.
PNG is endowed with rich natural resources and culture and is known as one of the cultural and mega biodiversity hotspots globally. Located on the eastern part of the island of New Guinea, PNG contains roughly 1 percent of the global landmass, with four major islands and over 600 islands and atolls. PNG also has one of the diverse reef system in the world and has a total of 3.12 square kilometers of economic exclusive zone (EEZ) of marine territory. Over 840 spoken languages exist and spoken by over 1000 different tribes.
Global climate change initiatives to reduce emissions from avoided deforestation and degradation (REDD) represent both a threat and opportunity for the Malaysian logging corporation ‘Rimbunan Hijau’, the largest forestry operator in Papua New Guinea. Although Reducing Emissions from Deforestation and forest Degradation in developing countries is first and foremost a climate change mitigation option, it also has the potential to generate benefits for indigenous and local communities (UNEP 2010).
The outcomes of the PRotected Area Forum (PAF) is that the forum will enable protected area practitioners, researchers, academics, private sector, potential donors and local communities who manage or support protected areas in PNG, to share their experiences, insights and any lessons learnt in relation to factors impacting protected areas. It will identify and formulate national priorities for effective protected area management in the country. The results of the forum will contribute to the implementation of the Protected Area Policy.
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. 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.
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 year 2005. 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.
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 year 2010. 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.
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 year 2015. 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.
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 year 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.
Raster data representing the mean levels of chlorophyll in mg/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of nitrate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of phosphate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.