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EF ID IPCC 1996IPCC 2006GasC pool Type of parameter Description Technologies / Practices Parameters / Conditions Region / Regional Conditions Abatement / Control Technologies Other propertiesValueUnitSource of data  Action
417414 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 2006 IPCC default Default emission factor for indirect N2O emissions from N volatilisation and re-deposition (EF4)      0.01 (0.002 - 0.05) kg N2O–N/[kg NH3–N + NOX–N volatilised] 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Table 11.3 - Default emission, volatilisation and leaching factors for indirect soil N2O emissions, on page 11.24 
417415 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 2006 IPCC default Default emission factor for indirect N2O emissions from leaching/runoff (EF5)      0.0075 (0.0005 - 0.025) Kg N2O-N/kg N leaching/runoff 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Table 11.3 - Default emission, volatilisation and leaching factors for indirect soil N2O emissions, on page 11.24 
417416 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 2006 IPCC default Default emission factor for indirect N2O emissions from volatilisation of synthetic fertiliser (FracGASF)      0.10 (0.03 - 0.3) [kg NH3–N + NOx–N]/[kg N applied] 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Table 11.3 - Default emission, volatilisation and leaching factors for indirect soil N2O emissions, on page 11.24 
417417 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 2006 IPCC default Default emission factor for indirect N2O emissions from volatilisation of all organic N fertilisers applied , and dung and urine deposited by grazing animals (FracGASM)      0.20 (0.05 - 0.5) [kg NH3–N + NOx–N]/[kg N applied or deposited] 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Table 11.3 - Default emission, volatilisation and leaching factors for indirect soil N2O emissions, on page 11.24 
417418 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 2006 IPCC default Default emission factor for indirect N2O emissions from N losses by leaching/runoff for regions where S(rain in rainy season) - S(PE in same period) > soil water holding capacity, OR where irrigation (except drip irrigation) is employed (FracLEACH-(H))      0.30 (0.1 - 0.8) kg N/[kg N additions or deposition by grazing animals] 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 4, Table 11.3 - Default emission, volatilisation and leaching factors for indirect soil N2O emissions, on page 11.24 
421476 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Modeled Fraction of all N added to soils as animal excreta or fertilizer lost through leaching or runoff (FracLEACH) The OVERSEER nutrient budget model is an empirical, annual time-step model (Ledgard et al. 1999b; Wheeler et al. 2003). It provides average estimates of nutrient loss N, phosphorus, potassium and sulphur in kg ha 1 yr 1, ignoring yearto- year variability due to climate (Thomas et al., 2005). In New Zealand, arable cropping and intensive vegetable farms occupy only a small proportion of land compared to pastoral farming. New Zealand   0.07 Kg N2O-N/kg N leaching/runoff Peer-reviewed journal 
422688 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Other (e.g. compiled) An "mitigation-efficacy factor" FM (in the range 0 to 1) which multiplies FracGASF as reported in 2006 GL Section 11.2.2; this multiplier, unreported in IPCC literature, accounts for the effectiveness of urease inhibitor as a mitigation technology that reduces NH3 volatilisation from applied urea fertiliser at the applicaion rate described below. (This assumes that NOx volatilisation is either negligible or effected in the same proportion as NH3 volatilisation). Thus, FM is 1 in the absence of a mitigation technology, and as small as zero otherwise. Application of urease inhibitor (nBTPT: N-(n-butyl) thiophosphoric triamide) to reduce NH3 volatilisation following fertilisation of pastureland with urea. Urea application is in the range 50-150 kg(N)/ha Statistical meta-analysis of several trials spanning New Zealand`s temperate grazed grasslands New Zealand, temperate climate, various soils Optimal co-application of nBTPT with urea is 0.025% w/w (nBTPT per unit N)  0.55 dimensionless Peer-reviewed journal 
423519 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Measured Emission Factor for Indirect N2O Emissions from managed soils N2O concentrations in groundwater were monitored temporally over 2 years in piezometers and spatially with two "snap-shot" sampling campaigns at two contrasted occasions, high and low water tables The study site chosen for the piezometer temporal monitoring of groundwater quality is northwestward falling slope reaching the Avaneless River with an average inclination of 2.2%. Most of the Orgeval catchment surface is covered with quaternary loess deposit (up to 10 m thick). Underneath the loess layer, two tertiary aquifier formations separated by the discontinuous grey clay and loamy gypsum layer interact with the streams. Most of the basin`s area is artificially drained (about 90% of the usable agricultural area, 1 m deep, 10-m spacing) and dominated by agricultural land (82%); the remaining surface is covered in forest (17%) and urban zoned or roads (1% of the surface). Agriculture is dominated by grain crop rotation. Within the catchment, groundwater level found ranged from 0.2 to 9.1 below the soil surface. Orgeval catchment (Seine basin, France), about 70 km east of Paris, 104 km2 drained by the third-order Orgeval stream. The climate is semi-oceanic; the mean annual precipitation is 673 mm, and the mean ambient temperature is 4°C in winter and 19°C - in summer.  Default EF5 from 2006 IPCC Guidelines (0.0075 kg N2O-N kg N leached) incorporates three components: EF5g, EF5r and EF5e (groundwater and surface drainage, rivers and estuaries, repsectively). In present study, EF5g component is considered. 0.0026 Kg N2O-N/kg N leaching/runoff Peer-reviewed journal 
423939 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Measured Weighted NH₃ volatilization from urine and dung N deposited by grazing cattle. Urine and dung were collected fresh from crossbred dairy (Nelore/Friesian) cows during milking at dawn on the day the experiment was set up. The animals were kept in the pasture but supplemented with soybean and corn meal The study was carried out on a grass pasture site of the Embrapa Rice and Bean Centre experimental station (16°28′ S–49°17′W, 823 m a.s.l.) located in the Municipality of Santo Antonio de Goiás, State of Goiás. Approximately two decades before this study a Brachiariabrizantha cv Marandu pasture was established on a clay loamsoil (Ferralsol—FAO classification, Oxisol—US Soil Taxonomy) with a texture of 43% clay and 44% sand in the top 20 cm The climate is Aw, tropical savannah, megathermic, according to the Köppen’s classification (Köppen, 1936). A characteristic of this region is that rainfall is practically absent from June to September. The original vegetation of the region was a forest type with a closed canopy (Cerradão) one of the sub-biomes of the Brazilian Cerrados (Bustamante et al., 2012b).   14.8 % of N deposited Peer-reviewed journal 
423940 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Measured NH₃ volatilization from dung N deposited by grazing cattle in the rainy season Dung was collected fresh from crossbred dairy (Nelore/Friesian) cows during milking at dawn on the day the experiment was set up. The animals were kept in the pasture but supplemented with soybean and corn meal The study was carried out on a grass pasture site of the Embrapa Rice and Bean Centre experimental station (16°28′ S–49°17′W, 823 m a.s.l.) located in the Municipality of Santo Antonio de Goiás, State of Goiás. Approximately two decades before this study a Brachiariabrizantha cv Marandu pasture was established on a clay loamsoil (Ferralsol—FAO classification, Oxisol—US Soil Taxonomy) with a texture of 43% clay and 44% sand in the top 20 cm The climate is Aw, tropical savannah, megathermic, according to the Köppen’s classification (Köppen, 1936). A characteristic of this region is that rainfall is practically absent from June to September. The original vegetation of the region was a forest type with a closed canopy (Cerradão) one of the sub-biomes of the Brazilian Cerrados (Bustamante et al., 2012b).   2.5 % of N deposited Peer-reviewed journal 
423941 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Measured NH₃ volatilization from dung N deposited by grazing cattle in the dry season Dung was collected fresh from crossbred dairy (Nelore/Friesian) cows during milking at dawn on the day the experiment was set up. The animals were kept in the pasture but supplemented with soybean and corn meal The study was carried out on a grass pasture site of the Embrapa Rice and Bean Centre experimental station (16°28′ S–49°17′W, 823 m a.s.l.) located in the Municipality of Santo Antonio de Goiás, State of Goiás. Approximately two decades before this study a Brachiariabrizantha cv Marandu pasture was established on a clay loamsoil (Ferralsol—FAO classification, Oxisol—US Soil Taxonomy) with a texture of 43% clay and 44% sand in the top 20 cm The climate is Aw, tropical savannah, megathermic, according to the Köppen’s classification (Köppen, 1936). A characteristic of this region is that rainfall is practically absent from June to September. The original vegetation of the region was a forest type with a closed canopy (Cerradão) one of the sub-biomes of the Brazilian Cerrados (Bustamante et al., 2012b).   4.3 % of N deposited Peer-reviewed journal 
423942 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Measured NH₃ volatilization from urine N deposited by grazing cattle (considering the 7 months of rainfall per year) Urine was collected fresh from crossbred dairy (Nelore/Friesian) cows during milking at dawn on the day the experiment was set up. The animals were kept in the pasture but supplemented with soybean and corn meal The study was carried out on a grass pasture site of the Embrapa Rice and Bean Centre experimental station (16°28′ S–49°17′W, 823 m a.s.l.) located in the Municipality of Santo Antonio de Goiás, State of Goiás. Approximately two decades before this study a Brachiariabrizantha cv Marandu pasture was established on a clay loamsoil (Ferralsol—FAO classification, Oxisol—US Soil Taxonomy) with a texture of 43% clay and 44% sand in the top 20 cm The climate is Aw, tropical savannah, megathermic, according to the Köppen’s classification (Köppen, 1936). A characteristic of this region is that rainfall is practically absent from June to September. The original vegetation of the region was a forest type with a closed canopy (Cerradão) one of the sub-biomes of the Brazilian Cerrados (Bustamante et al., 2012b).   22 % of N deposited Peer-reviewed journal 
423965 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Modeled Fraction of N leaching from crop production system (Frac LEACH-(H)) Winter wheat-summer maize rotation and vegetable were the dominant cropping systems. N and P fertilizer rates in winter wheat system were all higher than maize system. The spatial data of topography, soil texture, and land use were provided by the Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (RESDC) (http://www.resdc.cn). Spatial interpolation methods applied by RESDC were used to estimate the spatial distribution of annual mean temperature and annual precipitation. Based on the available data for counties, a range of parameters including annual precipitation, annual mean temperature, elevation, slope, soil texture, and rural income were examined for their quantitative relationships with N emissions to water at the whole basin level. We further explored the natural (slope and soil texture) and anthropogenic driving factors (planting structure and livestock density, meaning the ratio of livestock unit and arable land area.) in hill and plain areas, respectively. The Haihe Basin is located in the Northern China. It encompasses the two municipalities Beijing and Tianjin, most of Hebei Province, the eastern part of Shanxi Province, the northern parts of Henan and Shandong provinces, and small parts of Inner Mongolia and Liaoning Province.  A univariate linear regression model was used to do the analysis (Gu et al., 2013). Significant levels were set at P < 0.05. The regression and statistical analysis was conducted using SPSS (Statistical Package for the Social Science) statistical software (v19.0). To quantify the N emissions to water, we constructed a grid-based NUFER model, based on Ma et al. (2010) and Bai et al. (2016). The main improvements in the grid-based NUFER model were following (1) the model considered detailed chemical fertilizer types (urea, ammonium bicarbonate, ammonium nitrate, ammonium sulfate, diammonium phosphate, compound fertilizer, and other), fertilization methods (basal and top dressing), and livestock manure management systems (liquid and solid subsystems for dairy cattle, beef cattle, and pig farms), based on a comprehensive farm interview covering 400 individual farms in 11 typical counties in the HB (Zhao et al., 2017b); (2) the model could quantify the N emissions to water in high resolution, via estimating gridded emission parameters. 9.1 % of N input Peer-reviewed journal 
423966 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • NITROUS OXIDE
 
 Modeled Fraction of N erosion&run-off from crop production system (Frac LEACH-(H)) Winter wheat-summer maize rotation and vegetable were the dominant cropping systems. N and P fertilizer rates in winter wheat system were all higher than maize system. The spatial data of topography, soil texture, and land use were provided by the Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences (RESDC) (http://www.resdc.cn). Spatial interpolation methods applied by RESDC were used to estimate the spatial distribution of annual mean temperature and annual precipitation. Based on the available data for counties, a range of parameters including annual precipitation, annual mean temperature, elevation, slope, soil texture, and rural income were examined for their quantitative relationships with N emissions to water at the whole basin level. We further explored the natural (slope and soil texture) and anthropogenic driving factors (planting structure and livestock density, meaning the ratio of livestock unit and arable land area.) in hill and plain areas, respectively. The Haihe Basin is located in the Northern China. It encompasses the two municipalities Beijing and Tianjin, most of Hebei Province, the eastern part of Shanxi Province, the northern parts of Henan and Shandong provinces, and small parts of Inner Mongolia and Liaoning Province.  A univariate linear regression model was used to do the analysis (Gu et al., 2013). Significant levels were set at P < 0.05. The regression and statistical analysis was conducted using SPSS (Statistical Package for the Social Science) statistical software (v19.0). To quantify the N emissions to water, we constructed a grid-based NUFER model, based on Ma et al. (2010) and Bai et al. (2016). The main improvements in the grid-based NUFER model were following (1) the model considered detailed chemical fertilizer types (urea, ammonium bicarbonate, ammonium nitrate, ammonium sulfate, diammonium phosphate, compound fertilizer, and other), fertilization methods (basal and top dressing), and livestock manure management systems (liquid and solid subsystems for dairy cattle, beef cattle, and pig farms), based on a comprehensive farm interview covering 400 individual farms in 11 typical counties in the HB (Zhao et al., 2017b); (2) the model could quantify the N emissions to water in high resolution, via estimating gridded emission parameters. 1.8 % of N input Peer-reviewed journal 
423970 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • AMMONIA
 
 Modeled NH₃ emissions from N fertilization (i.e. 2006 IPCC Guidelines, EQUATION 11.11/ FracGASFi = fraction of synthetic fertiliser N that volatilises as NH₃) of managed soils as influenced by synthetic fertiliser Ammonium nitrate (rate not mentioned) The spatio-temporal variability of NH₃ emissions due to mineral N fertilization was esimated using two types of models: the process-based Volt`Air model and georeferenced and temporally explicit databases for soil properties, meteorological conditions and N fertilization in France. Total NH₃ emissions and NH₃ EF (volatilisation) were estimated. The model considers all the factors except the canopy effect on NH₃ volatilization (effect of crop growth after fertiliser application on NH₃ losses). Crop canopy reduces the surface soil temperature that may result in higher emission of NH₃. Crop canopy also absorbs part of the volatilised NH₃. The national mean EF given in "Value" field can be used with the condition - EF without crop canopy. Crop canopy can be accounted for by applying a reduction factor to NH₃ emission following (Langevin et al. 2015). France   0.040 kg NH₃/kg N applied Peer-reviewed journal 
423971 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • AMMONIA
 
 Modeled NH₃ emissions from N fertilization (i.e. 2006 IPCC Guidelines, EQUATION 11.11/ FracGASFi = fraction of synthetic fertiliser N that volatilises as NH₃) of managed soils as influenced by synthetic fertiliser N Solution (rate not mentioned) The spatio-temporal variability of NH₃ emissions due to mineral N fertilization was esimated using two types of models: the process-based Volt`Air model and georeferenced and temporally explicit databases for soil properties, meteorological conditions and N fertilization in France. Total NH₃ emissions and NH₃ EF (volatilisation) were estimated. The model considers all the factors except the canopy effect on NH₃ volatilization (effect of crop growth after fertiliser application on NH₃ losses). Crop canopy reduces the surface soil temperature that may result in higher emission of NH₃. Crop canopy also absorbs part of the volatilised NH₃. The national mean EF given in "Value" field can be used with the condition - EF without crop canopy. Crop canopy can be accounted for by applying a reduction factor to NH₃ emission following (Langevin et al. 2015). France   0.143 kg NH₃/kg N applied Peer-reviewed journal 
423972 
  • 4D - Agricultural Soils
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • AMMONIA
 
 Modeled NH₃ emissions from N fertilization (i.e. 2006 IPCC Guidelines, EQUATION 11.11/ FracGASFi = fraction of synthetic fertiliser N that volatilises as NH₃) of managed soils as influenced by synthetic fertiliser Urea (rate not mentioned) The spatio-temporal variability of NH₃ emissions due to mineral N fertilization was esimated using two types of models: the process-based Volt`Air model and georeferenced and temporally explicit databases for soil properties, meteorological conditions and N fertilization in France. Total NH₃ emissions and NH₃ EF (volatilisation) were estimated. The model considers all the factors except the canopy effect on NH₃ volatilization (effect of crop growth after fertiliser application on NH₃ losses). Crop canopy reduces the surface soil temperature that may result in higher emission of NH₃. Crop canopy also absorbs part of the volatilised NH₃. The national mean EF given in "Value" field can be used with the condition - EF without crop canopy. Crop canopy can be accounted for by applying a reduction factor to NH₃ emission following (Langevin et al. 2015). France   0.262 kg NH₃/kg N applied Peer-reviewed journal 
425669 
  • 4B1 - Cattle
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • AMMONIA
 
 Modeled Emission factor for cattle solid manure applied via broadcast application onto agricultural land in temperate wet climates Data analysis of EF values (n=43) collected from field studies across several temperate wet climates Experiments were conducted on agricultural soils, various soil types. Temperate wet regions Effect of manure type on NH3 emissions from land-applied manure EF relates to the NH3 component of FracGASM 0.03 kg NH3-N and NOx-N/kg of N input Peer-reviewed journal 
425670 
  • 4B1 - Cattle
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • AMMONIA
 
 Modeled Emission factor for cattle slurry surface applied to agricultural land in temperate wet climates Data analysis of EF values (n=465) collected from field studies across several temperate wet climates Experiments were conducted on agricultural soils, various soil types. Temperate wet regions Effect of manure type on NH3 emissions from land-applied manure EF relates to the NH3 component of FracGASM 0.242 kg NH3-N and NOx-N/kg of N input Peer-reviewed journal 
425671 
  • 4B1 - Cattle
 
  • 3.C.5 - Indirect N2O Emissions from managed soils
 
  • AMMONIA
 
 Modeled Emission factor for cattle slurry applied via trailing hose to agricultural soils in temperate wet climates Data analysis of EF values (n=248) collected from field studies across several temperate wet climates Experiments were conducted on agricultural soils, various soil types. Temperate wet regions Effect of low emission slurry application technologies for reducing FracGASM for cattle slurry applied to land EF relates to the NH3 component of FracGASM 0.159 kg NH3-N and NOx-N/kg of N input Peer-reviewed journal 
Gases
Gas nameFormulaSelect gas
CARBON DIOXIDE CO2 
METHANE CH4 
NITROUS OXIDE N2O 
Fuels 2006
Fuel 2006
Crude Oil 
Orimulsion 
Natural Gas Liquids (NGLs) 
Motor Gasoline 
Aviation Gasoline 
Jet Gasoline 
Jet Kerosene 
Other Kerosene 
Shale Oil 
Gas Oil 
Diesel Oil 
Residual Fuel Oil 
Liquefied Petroleum Gases 
Ethane 
Naphtha 
Bitumen 
Lubricants 
Petroleum Coke 
Refinery Feedstocks 
Refinery Gas 
Waxes 
White Spirit & SBP 
Other Petroleum Products 
Anthracite 
Coking Coal 
Other Bituminous Coal 
Sub-Bituminous Coal 
Lignite 
Oil Shale and Tar Sands 
Brown Coal Briquettes 
Patent Fuel 
Coke Oven Coke and Lignite Coke 
Gas Coke 
Coal Tar 
Gas Works Gas 
Coke Oven Gas 
Blast Furnace Gas 
Oxygen Steel Furnace Gas 
Undifferentiated Coal 
Natural Gas 
Municipal Wastes (non-biomass fraction) 
Industrial Wastes 
Waste Oils 
Peat 
Wood/Wood Waste 
Sulphite Lyes (Black Liquor) 
Other Primary Solid Biomass 
Charcoal 
Biogasoline 
Biodiesels 
Bio-Alcohol 
Sewage Sludge 
Other Liquid Biofuels 
Landfill Gas 
Sludge Gas 
Other Biogas 
Municipal Wastes (biomass fraction) 
Fuel mixtures (fossil and biomass) 
C pools
Above-ground biomass (AGB)
Below-ground biomass (BGB)
Litter (L)
Dead wood (DW)
Soil organic matter - mineral soils (SOM mineral)
Soil organic matter - organic soils (SOM organic)
Harvested wood products (HWP)
Classified otherwise
Table columns
IPCC 1996
IPCC 2006
Gas
Fuel
C pool
Type of parameter
Description
Technologies / Practices
Parameters / Conditions
Region / Regional Conditions
Abatement / Control Technologies
Other properties
Value
Unit
Equation
IPCC Worksheet
Source of data
Technical Reference
Data provider
IPCC Default Data
1996 IPCC default
1996 & 2006 IPCC default
2006 IPCC default
2013 WS default
2013 KP default
2019 Refinement default
Other (non-default) Data
Measured
Modeled
Other (e.g. compiled)
Regions
Asia
Africa
Latin America and Caribbean
North America
Oceania
Europe
Countries
Asia
  Afghanistan
  Armenia
  Azerbaijan
  Bahrain
  Bangladesh
  Bhutan
  Brunei Darussalam
  Cambodia
  China
  China, Hong Kong Special Administrative Region
  China, Macao Special Administrative Region
  Christmas Island
  Democratic People's Republic of Korea
  Georgia
  India
  Indonesia
  Iran
  Iraq
  Israel
  Japan
  Jordan
  Kazakhstan
  Kuwait
  Kyrgyzstan
  Lao People's Democratic Republic
  Lebanon
  Malaysia
  Maldives
  Mongolia
  Myanmar
  Nepal
  Oman
  Pakistan
  Philippines
  Qatar
  Republic of Korea
  Saudi Arabia
  Singapore
  Sri Lanka
  State of Palestine
  Syrian Arab Republic
  Tajikistan
  Thailand
  Timor-Leste
  Türkiye
  Turkmenistan
  United Arab Emirates
  Uzbekistan
  Viet Nam
  Yemen
Africa
  Algeria
  Angola
  Benin
  Botswana
  Burkina Faso
  Burundi
  Cabo Verde
  Cameroon
  Central African Republic
  Chad
  Comoros
  Congo
  Côte d’Ivoire
  Democratic Republic of the Congo
  Djibouti
  Egypt
  Equatorial Guinea
  Eritrea
  Eswatini
  Ethiopia
  Gabon
  Gambia
  Ghana
  Guinea
  Guinea-Bissau
  Kenya
  Lesotho
  Liberia
  Libya
  Madagascar
  Malawi
  Mali
  Mauritania
  Mauritius
  Mayotte
  Morocco
  Mozambique
  Namibia
  Niger
  Nigeria
  Réunion
  Rwanda
  Saint Helena
  Sao Tome and Principe
  Senegal
  Seychelles
  Sierra Leone
  Somalia
  South Africa
  South Sudan
  Sudan
  Togo
  Tunisia
  Uganda
  United Republic of Tanzania
  Western Sahara
  Zambia
  Zimbabwe
Latin America and Caribbean
  Anguilla
  Antigua and Barbuda
  Argentina
  Aruba
  Bahamas
  Barbados
  Belize
  Bolivia (Plurinational State of)
  Bonaire, Saint Eustatius and Saba
  Brazil
  British Virgin Islands
  Cayman Islands
  Chile
  Colombia
  Costa Rica
  Cuba
  Curaçao
  Dominica
  Dominican Republic
  Ecuador
  El Salvador
  Falkland Islands (Malvinas)
  French Guiana
  Grenada
  Guadeloupe
  Guatemala
  Guyana
  Haiti
  Honduras
  Jamaica
  Martinique
  Mexico
  Montserrat
  Nicaragua
  Panama
  Paraguay
  Peru
  Puerto Rico
  Saint Barthélemy
  Saint Kitts and Nevis
  Saint Lucia
  Saint Martin (French part)
  Saint Vincent and the Grenadines
  Sint Maarten (Dutch part)
  Suriname
  Trinidad and Tobago
  Turks and Caicos Islands
  United States Virgin Islands
  Uruguay
  Venezuela (Bolivarian Republic of)
North America
  Bermuda
  Canada
  Greenland
  Saint Pierre and Miquelon
  United States Minor Outlying Islands
  United States of America
Oceania
  American Samoa
  Australia
  Bouvet Island
  British Indian Ocean Territory
  Cocos (Keeling) Islands
  Cook Islands
  Fiji
  French Polynesia
  French Southern Territories
  Guam
  Heard Island and McDonald Islands
  Kiribati
  Marshall Islands
  Micronesia (Federated States of)
  Nauru
  New Caledonia
  New Zealand
  Niue
  Norfolk Island
  Northern Mariana Islands
  Palau
  Papua New Guinea
  Pitcairn
  Samoa
  Solomon Islands
  South Georgia and the South Sandwich Islands
  Tokelau
  Tonga
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