By volume from DWM data, 38% of incoming waste is from households and 62% from other sources, including green waste. Landfill sample, gained over 6 days featured much less construction waste than DWM data, given the shorter timeframe and put the ratio at 53% household and 47% other sources.
Refer to page 60 of Waste Audit Report
Greenhouse Gas Emission - Of the total 2014 emissions of 18.467 Gg CO2-e, 11.214 Gg (61%) can be attributed to the energy sector. The main GHGs emitted by Tuvalu are CO2 (60.4% of total emissions), CH4 (16.4%), and N2O (23.1%)
Trends in ODS Consumption - As a developing country, Tuvalu is listed under Article 5 of the Montreal Protocol, and therefore provided with assistance to phase-out consumption of CFCs by 2010, HCFCs by 2030, and HFCs by 2024.
Between 2000 and 2010, Tuvalu’s use of HCFCs increased slightly, due to the increased use of HCFC-22 in air conditioning and refrigeration equipment (Government of Tuvalu 2010). Since 2013, an annual quota system has been implemented to regulate the import of HCFCs and ensure a complete phase-out by 2030
Reference : Tuvalu State of Environment Report 2022
Publicly available data for Tuvalu from the world database on protected areas. This data needs to be reviewed and updated.
Interviews conducted on commercial premises where waste was also collected.
• Date: date of the interview
• Premises_ID: unique premises identifier
• Premises_Type: type of premises
• additional_comments_photos/extra_comments: miscellaneous comments
• country: country of audits
• Who_collects_the_rubbish
• Collection_period: how often waste is collected
• Collection_rating: satisfaction with collection service, 1-5 scale
• Waste_disposal_general: how general waste is disposed of
Household interviews conducted at houses where waste was collected.
Big file containing high level audit data, detailed sort of drink containers and interview data.
The WDPA User Manual provides information and guidance about the data held within the WDPA, including its history, how it is collected, managed and distributed, and how it should be interpreted and used for analyses and research. The Manual has been prepared for WDPA data providers and users. It is structured in 4 sections and includes 6 appendices.
The Protected Areas Working Group (PAWG) of the Pacific Islands Round Table for Nature Conservation recommended a forum to better connect a diverse range of people and their work relating to protected and conserved areas. To increase efficacy with respect to gaining momentum with communications and conservation work, the Pacific Islands Protected Area Portal (PIPAP) was launched.
Each value represents the number of dumping events observed on fishing vessels during the period 2003-2015
CSV file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.
CSV file containing species richness values and mapping parameters for marine species (with a probability of occurrence > 0.5) derived from AquaMaps. A total of 33,512 species were used in the generation of this file.
Coordinate system is WGS84 (ESPG 4326) with coordinates expressed in longitude and latitude.
Fields in this file are:
C-Square Code: unique identifier for grid
Longitude: longitude in decimal degrees
Latitude: latitude in decimal degrees
Species Count: number of species modeled at given point
AquaMaps are computer-generated predictions of natural occurrence of marine species, based on the environmental tolerance of a given species with respect to depth, salinity, temperature, primary productivity, and its association with sea ice or coastal areas. These 'environmental envelopes' are matched against an authority file which contains respective information for the Oceans of the World. Independent knowledge such as distribution by FAO areas or bounding boxes are used to avoid mapping species in areas that contain suitable habitat, but are not occupied by the species.
vegetation types within the mainland coastal region provinces
vegetation types for the provinces in the PNG highlands region