36 results

Time series data on the consumption of HCFCs and methal bromid in Kiribati submitted to Ozone Secretariat.

A .cvs format of the data in the excel sheet for easier and immediate reading and interpretation.

Each value represents the number of dumping events observed on fishing vessels during the period 2003-2015

general garbage oil spillage metal leakages chemicals

vegetation types within the mainland coastal region provinces

vegetation types for the provinces in the PNG highlands region

Data valid as of 09/04/2019

Most atoll ecosystems and a wide range of terrestrial and marine organisms, and genetic or cultivars varieties of
traditional food and other multi-purpose plants are declining in abundance and under threat of either “economic extinction” or extirpation and in need of some form of protection. The severity of the situation is greatest on those more urbanized atolls where both the biodiversity and the local knowledge of biodiversity are threatened.

*see R Thanman pdf report for more information*

Terrestrial and marine plants and animals that are rare, endangered or in short supply,
and in need of protection in the atolls of the Pacific Islands.

This excel file include four spreadsheets each representing a separate theme (EMG = Environmental Monitoring and Governance, IOE = Island and Ocean Ecosystems, CCR = Climate Change Resilience, WMPC = waste). Within each theme are the core national environment indicators (scrolling from left to right).

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.