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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.

According to the U.N. FAO, 33.3% or about 1,000 ha of Tuvalu is forested. Tuvalu's forests contain - million metric tons of carbon in living forest biomass.

Community consultations have taken place on four islands to collect relevant information on island biodiversity, so as to incorporate this into the National Biodiversity Strategy and Action Plan. The perceived threats are shown in this excel sheet.

classification of land use in Tuvalu

 Secretariat of the Pacific Regional Environment Programme

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, 2005, 2010, 2015, and 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.

 The Smithsonian Institution

As of 1969, the scientific community had no general information on the natural history of Namoluk Atoll in the Eastern Caroline Islands of Micronesia. The only significant published source for the atoll was an ethnographic and linguistic account provided by the German physician.

 Institute for Global Environmental Strategies (IGES)

Climate change is real and Asia is already experiencing its adverse impacts. Projections from the Intergovernmental Panel on Climate Change (IPCC) suggest that such impacts will become even more intense in the future. While the contribution of developing countries in Asia to global greenhouse gas (GHG) emissions is increasing rapidly, per capita emissions are still low and developmental challenges remain significant.

 Department of Environment, Tuvalu

This dataset provides a direct internet link to easily access marine life information and data recorded for Tuvalu on the Sea Life Base portal. Sea Life Base is a global online database of information about marine life. It aims to provide key information on the taxonomy, distribution and ecology of all marine species in the world apart from finfish.

 Department of Environment, Tuvalu,  Tuvalu Fisheries

This datase provides a direct internet link to access fish species information such as (names, distribution, taxonomy, habitats, behavior, genetic etc) for Tuvalu

FishBase is a global species database of fish species (specifically finfish). It is the largest and most extensively accessed online database on adult finfish on the web.

 Secretariat of the Pacific Regional Environment Programme

The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management.

 Secretariat of the Pacific Regional Environment Programme

FAO Agriculture and Fair Trade in Pacific Island Countries. This desk study has been prepared by Winnie Fay Bell and comments were kindly provided by the Pacific Regional Organic Task Force in May 2009

 Department of Environment, Tuvalu

A direct internet link to access information related to bird species of Tuvalu recorded on the BirdLife International Online portal

 Department of Environment, Tuvalu

Data submitted to the UN Ozone Secretariat highlighting the trend of ODS consumption (calculated as Production (if any) + imports - exports) in Tuvalu. Ozone Depleting Substances calculated here are HCFCs and Methal Bromide.

 Department of Environment, Tuvalu

Perceived threats can be summarised as arising from deleterious human actions and negative attitudes to the environment, leading to inappropriate behaviour, such as littering, over-fishing and hunting, using fishing nets and modern fishing method, the use of guns and the introduction of pests; the use of inappropriate technologies, such as solid and liquid waste water disposal systems; uncontrolled use of resources and control of livestock; increasing consumption patterns, arising from increases in human populations, demands and changing lifestyles; institutional weaknesses; ignorance and l