Table A1.
Reference Country | Environmental data | Dietary data | Methods | Environmental variables | Dietary scenarios |
---|---|---|---|---|---|
Abadie et al. 2016 NO (27) | GHGE data from production, transport, preparation and waste | Norkost3 | Average diet | GHGE | - |
Bruno et al. 2019 DK (29) |
LCA from-cradle-to-fork, average GHGE on international level | Food Balance Sheet by FAO | Pre-defined diet scenarios | GHGE | Standard Danish, carnivore, vegetarian and vegan |
Colombo et al. 2019; 2020 Elinder et al. 2020 SWE (71, 72, 77) |
LCA data on raw foods adjusted for waste (RISE) | Annual observed school food supply | Linear optimisation + school intervention | GHGE |
|
Hallström et al. 2021 SWE (24) |
Climate data based on LCA studies of foods representative for production of foods available on the Swedish market. | Dietary intake from two population-based cohorts, by FFQ | Analysis of dietary GHGE from different foods and by gender and age groups | GHGE | Current diet only |
Hallström et al. 2022 SWE (31) |
LCA: primary production, processing, packaging, international transportation and edible food loss and waste along the food chain (including consumer waste) | Swedish Mammography Cohort and Cohort of Swedish Men, FFQ |
Observed diets | GHGE, land use, nitrogen and phosphorus application, consumptive water use, extinction rate, planetary boundaries | Current diet only |
Hjort et al. 2020 SWE (39) |
LCA from published literature, system boundaries: primary production up to and including the retail phase | Västerbotten Intervention Programme (VIP), FFQ | Observed diets | GHGE | Observed diet in 1996 and 2006 |
Jalava et al. 2014 FIN (70) |
Water footprints of the crops: Mekonnen and Hoekstra 2011b, and animal products: Mekonnen and Hoekstra 2010. | FAO food balance spreadsheet (2013). | Modelling study | Water use | Diet scenarios:
|
Kyttä et al. 2023 FIN (43) |
Two LCA methods (Kuipers et al. 2021; Chaudhary and Brooks 2018) | FinDiet 2017 survey (Valsta 2018); DIPP cohort, 2008 (Kyttälä); Adolescents survey2008 (Hoppu); Health2000 survey (Montonen); Food Balance Sheet 2016 (LUKE); Fineli food composition database 2018. | Modelling study | Biodiversity impact Land use |
Four scenarios:
|
Mazac et al. 2022 FIN (66) |
Environmental impacts: AGRIBALYSE and World Food LCA Database. | European food consumption database (EFSA). 2013 compiled from 34 national food consumption surveys (n = 66,492 individuals) in 22 European Union countries. | Modelling study | GHGE, land use, water use | Modelled diets:
|
Meinilä et al. 2022 FIN (35) |
GHG data LUKE/Hartikainen et al. (unpublished) |
Automatically accumulating food purchase data of loyalty card holders, n = 22,860. Nutrient content from Fineli. | Observed food purchase patterns by factor analysis, regression analysis to study the association between the patterns and GHG of the total purchases. | GHGE | Food purchase patterns based on 56 food groups
|
Martin and Brandão, 2017 SWE (54) |
Databases Ecoinvent and AGRIBALYSE was complemented with LCA peer-reviewed studies, whilst data on import, export and waste came from FAO balance sheets. | FAO Food Balance Sheets, 2011 | Modelling study | GHGE, acidification, eutrophication, land use, toxicity and biodiversity | Dietary scenarios:
|
Mertens et al. 2019 DK (data) (37) |
LCA from SHARP-Indicators Database | DANSDA 2005–2008 | Observed/current diet | GHGE Land use |
Danish average diet |
Mertens et al. 2021 DK (data) (67) |
LCA from SHARP-Indicators Database | DANSDA 2005–2008 | Modelling study: optimisation using Data Envelopment Analysis (DEA) to benchmark diets for improved adherence to FBDG | GHGE | Diet scenarios: observed, most preferred, healthiest (Nutrient Rich Diet Score) and most environmentally sustainable (GHGE) |
Mertens et al. 2020 DK (data) (68) |
LCA from SHARP-Indicators Database | DANSDA 2005–2008 | Modelling study: optimisation using Data Envelopment Analysis (DEA) to benchmark diets for improved adherence to FBDG | GHGE | As above but all substituted by similar use meat replacers with and without fortification |
Mittenzwei et al. 2020 NO (49) |
LCA from different Norwegian sources | Grønlund, A. 2015. NIBIO Rapport 14 (2015). Norkost 3, Helsedirektoratet. 2015. Norkost 3. 18–70 år, 2011-11. Rapport IS-2000. Helsedirektoratet. Oslo. |
Diet scenarios | CO2eq | Different scenarios based on different changes in meat contents and adherence to Norwegian FBDG |
Moberg et al. 2020 SWE (30) |
LCA data of impacts from cradle to retail in Sweden were summarised in a database (Moberg, 2019). Sources were, for example, World Food LCA database, Ecoinvent database, peer-reviewed LCA studies and LCA industry reports. Water use from WaterStat database. |
Average direct consumption 2011–2015 (Swedish Board of Agriculture, 2019) | Calculated the impact of current data and benchmarked it against the planetary boundaries as they are presented in Eat –Lancet. | GHGE, land use N-application, P-application, Freshwater use Extinction rate |
Impact of current diet only |
Mogensen et al. 2020 DK (34) |
For beef: LCA from cradle until exiting slaughterhouse and from slaughterhouse until ready-to-eat. For other foods: literature of LCA studies from cradle to ready-to-eat, including transport, packaging, storage, food waste and cooking. | DANSDA 2005–2008 | Observed/current diet | GHGE Land use |
Dietary patterns by principal component analysis:
|
Natural Resources Institute 2021 ScenoProt study FIN (76) (See also Päivärinta et al., 2020 (73) Itkonen et al. 2021 (74) Pellinen et al. 2022 (75)) |
LCA (Hartikainen unpublished/Natural Resources Institute FIN) | 3 × 4-day food records, Fineli food composition database | Intervention study | GHGE | Three diets with different ratios of animal to plant protein sources: 70:30, 50:50 and 30:70 |
Nordman et al. 2023 DK (69) |
Data from Trolle et al. 2022 | Dietary survey data, Danish adults | Quadratic modelling | GHGE | Optimised healthy and nutritionally adequate diet GHGE and departure from current diet |
Risku-Norja et al. 2007 FIN (60) |
GHGE land use, acid emissions, fuel and electricity consumption, the total material requirement of the diets |
Four scenarios:
|
|||
Röös et al. 2020 SWE (58) |
LCA studies | Meat intake from Riksmaten 2010–11 (Swedish Food Agency) | Comparison of current consumption with an intake scenario | GHGE Land use |
Dietary scenario: - Meat consumption reduced by 50% and replaced with legumes grown in Sweden |
Saarinen et al. 2023 FIN (25) |
See Appendix 1 in End report of the FoodMin project | FinDiet 2017 survey (Valsta 2018); DIPP cohort, 2008 (Kyttälä); Adolescents survey2008 (Hoppu); Health2000 survey (Montonen); Food Balance Sheet 2016 (LUKE); Fineli food composition database 2018. | Modelling study: FoodMin dietary model (LUKE) EnVit model (Seppälä ym. 2009, Nissinen ja Savolainen 2019). |
GHGE Eutrophication Food waste |
Four scenarios:
|
Sandström et al. 2017 FIN (45) |
Land use estimated as country, crop and time specific yields from FAO 2016. Blue water use estimated from crop and country specific water use coefficients from Mekonnen and Hoekstra, 2010 | FAOSTAT commodity balances (FAO, 2016), domestic and traded commodities (traded feeds included). | Study on the role of traded commodity supply (observed supply) | Land use (area), blue water use | Observed commodity supply with special interest in traded commodities |
Saxe et al. 2013 DK (38) |
LCA Food Database (2004) http://www.lcafood.dk and supplementary data from the literature | Modelling study; consequential Life Cycle Assessment. | GHGE | Average Danish Diet (ADD); diet based on the NNR; New Nordic Diet (NND) | |
Springman et al. 2018 GLOBAL (61) |
Global country and crop-specific environmental footprint data (described in Harwatt et al. 2023) | - Country-specific food availability data (FAO) adjusted for food waste | Global modelling study | GHGE, cropland use, freshwater use and nitrogen and phosphorus application |
|
Springmann et al. 2020 GLOBAL (33) |
Global country and crop-specific environmental footprint data (described in Harwatt et al. 2023) | National FBDG (FAO), FAO’s food balance sheets adjusted for the amount of food wasted at the point of consumption. |
Modelling study | GHGE, cropland use, freshwater use and nitrogen and phosphorus application |
|
Strid et al. 2019 SWE (42) |
LCA from published literature, system boundaries: primary production up to and including the retail phase | Västerbotten Intervention Programme (VIP), FFQ | Sociodemographic differences in observed diet’s GHGE | GHGE | Current diet |
Sundin et al. 2021 SWE (50) |
LCA, system boundaries: from primary production up to industrial processing, excluding packaging, emissions from land-use change (RISE Food Climate Database, Florénetal 2017) | Overweight and obesity statistics of Sweden (SCB 2019), from which excess body fat and excess energy intake were estimated | Observed excess body fat and excess energy intake | GHGE | Current excess energy intake |
Trolle et al. 2022 DK (28) |
Data compiled by Aarhus University and DTU: Bottom-up approach: LCA from literature. And data from the Big Climate Database, CONCITO and 2.-0 LCA Consultants: Top-down hybrid approach. |
DANSDA (2011–2013) | Pre-defined diet scenarios | GHGE | Danish Adapted Plant-Rich Diet, adherent to the EAT-Lancet reference diet |
Valsta et al. 2022a FIN (In: Kaljonen et al. 2022) (40) |
LCA (Seppälä et al. 2009) | FinDiet 2017 (Valsta 2018), Finnish nutritional recommendations (2014) Nutrient adequacy measured by a nutrient index with 10 components (Valsta et al. 2022, Appendix 2) |
Pre-defined diet scenarios and Modelling study |
GHGE Arable land Economic sustainability: earnings |
|
Vanham et al. 2017 FIN (56) |
Water footprints from the literature: Mekonnen and Hoekstra, 2011a, Mekonnen and Hoekstra, 2011b, and for fish Pahlow et al. (2015). | For countries: FAO Food Balance Sheets/For cities: FINDIET 2007 | Modelling study | Water use | Dietary scenarios:
|
Vieux et al. 2018 European FIN/SWE (data) (65) |
LCA from Hartikainen and Pulkkinen (2016) | National surveys: FinDiet 2012 (FIN); Riksmaten 2010 (SWE); INRAN-SCAI-2005 (IT); NDNS 20018–12 (UK); INCA2 2006–7 (FR) | Modelling study (linear programming by applying stepwise GHGE reductions) | GHGE |
|
Vieux et al. 2020 European FIN/SWE (data) (36) |
LCA from Hartikainen and Pulkkinen (2016) | FinDiet 2012 Riksmaten 2010 |
Observed dietary clusters | GHGE | Six clusters from which one was identified as ‘more sustainable’ |
Wallén et al. 2004 SWE (57) |
LCA studies on energy use and CO2 equivalents emissions from publications and data from food industry. | Current food consumption, per capita (Statistics Sweden, 2001) Intakes in Dahlin and Lindeskog’s definition of a sustainable diet (1999). |
Comparing current diet with scenario of sustainable diet by food group | GHGE | The sustainable diet scenario included higher consumption of pulses, vegetables, cereals, fruits, eggs and fish, whilst it simultaneously had lower consumption of meat and meat products, sweets, sugary drinks, cream, cheese and rice than the current diet |
Wood et al. 2023 SWE (62) |
Mainly data from Moberg et al. 2020, and 2019 | Current average Swedish diet as Moberg et al. 2020 (Average direct consumption 2011–2015 [Swedish Board of Agriculture, 2019]) | Current diet – and iterative modelling | GHGE, nitrogen and phosphorus application, consumptive water use, biodiversity loss and cropland use | Iterative modelled more healthy and sustainable diet |
Wright et al. 2023 NO (55) |
Database at University of Oslo, based on LCA data | Dietary survey from 2019, based on a food frequency questionnaire | Comparing current diet with modelled diets adjusted to 5.3 MJ/day | Global warming potential, freshwater eutrophication, marine eutrophication, terrestrial acidification, water use and land use | Modelled diets according to Norwegian FBDG and Eat-Lancet reference diet, adjusted to 5.3 MJ/day |
Zucchinelli et al. 2021 DK (44) |
Water footprint for crop and livestock production in every import country of origin from Mekonnen and Hoekstra (2010, 2011). | Food Balance Sheet (FAO, 2018), scientific literature and public health recommendations | Comparison of current consumption pattern with pattern scenarios | Total green and blue water footprint and blue water-scarcity footprint | Current average Danish diet, and carnivore, vegetarian and vegan scenarios |