"Reference and model";Extent;"n obs (studies)";R2;"Benefit transfer error";"Significant covariates with value used in BT";"Flagship type";Flagship;"Predicted WTP in € (2019)";S;E;H "Amuakwa–Mensah et al. 2018, Table 3 model 4";Global;"85 (53)";0.716;"Not reported (an example of BT is provided but no assessment of error)";"Resident = 1";x;;;"Charismatic terrestrial mammal";35.56 "Payment vehicle = tax";x;"Charismatic bird";63.39 "Developing country = 0";x;"Charismatic fish";28.89 "Response rate = 61%";x;"Charismatic reptile";34.72 "Sample size = 1713";x;"Non–charismatic terrestrial mammal";52.89 "Only households in the study";x;"Non–charismatic bird";94.28 x;"Non–charismatic fish";42.96 x;"Non–charismatic reptile";51.64 "Richardson and Loomis 2009 *** Table 7 Model 3";USA;"67 (31)";0.697;"Mean 34% for studies reporting an annual WTP value and 45% for studies reporting a lump sum WTP value";"Contingent valuation = 1";x;"Charismatic terrestrial mammal (and reptile)";81.92 "Change in population size = 50";x;"Charismatic Marine mammal";177.28 "Resident = 1 (‘household’ assumed as opposed to ‘visitor’)";x;"Charismatic Bird";187.12 "Response rate = 0.491";x;"Charismatic Fish (but: fish and charisma were correlated)";227.18 "Mail survey = 0.851";x;"Non–charismatic terrestrial mammal (and reptile)";29.43 "Year = 2006";x;"Non–charismatic marine mammal";63.67 "Only threatened / endangered species in the study";x;"Non–charismatic bird";67.21 x;"Non–charismatic fish";81.59 "Martin-Lopez et al. (2008) *** Table 5, Reduced model";"Global (US focus)";"54 (means from studies with multiple obs)";0.37;"Not reported";"Recurring payments = 1";x;"Charismatic (large eyed) terrestrial mammal";2.00 "Negative economic impact of species = 0";x;"Charismatic marine mammal";2.51 "Charisma based on eye size data from https://www.sciencedirect.com/science/article/pii/S0042698904001646, ‘large’ and ‘small’ = mean +– 1 SD";x;"Charismatic bird";1.79 x;"Charismatic fish";0.29 x;"Charismatic reptile";0.06 x;"Non–charismatic (small–eyed) terrestrial mammal";1.35 x;"Non–charismatic marine mammal";1.69 x;"Non–charismatic bird";1.43 x;"Non–charismatic fish";0.21 x;"Non–charismatic reptile";0.05 "Lindhjem and Tuan 2012 Table 6 Model 4 (TEs from Lindhjem and Tuan 2015, same dataset in Tuan and Lindhjem 2008)";"Asia & Oceania";"124 (16)";"0.82 0.459";"Median 16%";"Dichotomous choice = 1";x;;;Mammal;"28.17 (91.55 for mean household income in the US=$55000)" "Household = 1" "Nonparametric = 0.07" "Mandatory (e.g. tax) = 1" "Income = USD 14 318 (or 55 000**)" "Median 24%";"Australia = 0";x;Turtle;"2.29 (7.43)" "Median 32%";"Year = 2006";x;Other;"6.30 (20.47)" "Lindhjem and Tuan 2012 Table 7 Model 3";"Asia & Oceania";"390 (67)";"Median 46%";"Contingent valuation = 1";x;"Terrestrial habitats";4.58 "Median 40%";"Monthly payment = 0";x;"Marine habitats";7.97 "Median 71%";"Nonparametric = 0.07";x;"(Wetlands not robust across models, possibly due to method used in wetland studies)";(15.47) "SE Asia = 0"; "Median 36%";x;Mammal;25.44 "Jacobsen and Hanley 2009 *** Table 4b GDP–model";"global, developed bias";"111 (max 46)";0.08;"Not reported";"Dichotomous choice = 1";x;"Specific habitat";112.44 "GDP = USD 34 614 (as in Hjerpe et al. 2015), sample means not given";x;x;"Other (Unspecific habitat or species)";49.23 "Hjerpe et al. 2015 Table 5, log– linear model";"Europe, USA, Canada";"127 (22)";"Level 1 0.6, Level 2 0.76";"Not reported";"Choice experiment = 0";x;"Forest & freshwater preservation Scope high";13.97 "Tax = 1";x;"Forest & freshwater preservation Scope low";9.79 "Voluntary = 0";x;"Forest restoration: Scope high";4.73 "Recurring payments = 1";x;"Forest restoration: Scope low";3.32 "GDP PPP = $ 34 614" "USA = 0.362";x;"Freshwater restoration: Scope high";7.35 "Year = 2006";x;"Freshwater restoration Scope low";5.16 "Lindhjem 2006 Table 3, Model 4";Fennoscandia;"250 (29)";0.742;"Not reported";"Use–related payment (recreational etc) = 0";x;"Forest: Full protection, avoid loss";252.42 "Actual payment (ref: hypothetical) = 0";x;"Forest: Multi– use forestry, avoid loss";321.95 "Household = 1";x;"Forest: Full protection, achieve gain";196.23 "Response rate mail high = 0.13, medium = 0.25, low = 0.31" "MSc thesis = 0" "Unpublished = 0" "Size of good implicit (ref: explicitly given) = 0.78" "Lindhjem 2006 Table 3, Model 4";Fennoscandia;"250 (29)";0.742;"Not reported";"Regional good = 0.21";;x;;"Forest: Multi– use forestry, achieve gain";265.76 "Sweden = 0.21" "Urban = 0" "Season = 0.6" "Year = 2006" "Barrio and Loureiro 2010 Table 5";Global;"101 (35)";0.90;"Not reported";"Annual (permanent) payments = 1";x;"Rainforest, avoid loss";491.93 "Individual (ref: household) = 0";x;"Deciduous & perennial, avoid loss";85.14 "Dichotomous choice = 1";x;"Coniferous & other, avoid loss";45.16 "Open ended = 0";x;"Rainforest, gain";837.43 "Mail survey = 0.42";x;"Deciduous & perennial, gain";144.95 "Recreation = 0";x;"Coniferous & other, gain";76.89 "Non–Scandinavian eu countries = 0.297" "Barrio and Loureiro 2010 Table 5";Global;"101 (35)";0.90;"Not reported";"GDP/10 000 = 3.4614 (from Hjerpe et al. 2015)" "Forest area in the country = 83700/100000" "Period 1996–2002 = 0" "Ojea and Loureiro 2011 Table 4, quantitative & qualitative RE model";"Global (US focus)";"317 (not given)";–;"Not reported";"Mainly non–use value = 1";x;Species;3.39 "Dichotomous choice = 1";x;Forest;3.88 "Gain (ref: avoiding loss) = 0";x;"Water or other (grasslands, mountains, cultural environments)";8.91 "Quantitatively defined environmental change = 0.48" "GDP = 34 614 (from Hjerpe et al. 2015)" "Year = 2006" "Žáková Kroupova et al. 2016 Table 4";Europe;17;0.447;"Not reported";"Resident =1";x;Mountain;1785 "Travel cost method = 0" "Choice experiment = 0" "Share of agriculture in total gross value added (GVA)= 2.15%" "Share of Less–Favored Areas subsidies = 15%" "Subroy et al. 2019 Table 2, Model 1";"Global (19 countries, none from Africa)";"109 (47)";0.909;"Out–of–sample median (mean) 21% (48%), within sample 14% (17%)";"Resident = 1";x;"Charismatic mammal, avoid loss";78.68 "Open ended (ref: dichotomous choice) = 0";x;"Charismatic marine mammal or turtle, avoid loss";249.73 "Payment card (ref: dichotomous choice) = 0";x;"Non–charismatic mammal, avoid loss";45.90 "Subroy et al. 2019 Table 2, Model 1";"Global (19 countries, none from Africa)";"109 (47)";0.909;"Out–of–sample median (mean) 21% (48%), within sample 14% (17%)";"Annual (>6 years) = 1";x;;;"Non–charismatic marine mammal or turtle, avoid loss";145.68 "Only lump sum studies included";x;"Non–threatened charismatic mammal, avoid loss";28.34 "Sample mean for population gain was 167%, used in the last example";x;"Charismatic mammal, population gain of 167%";47.13 "Nijkamp et al. 2008 *** Table 5";30;NA;NA;"(No statistical model with covariates, but an apriori algorithm)";x;Woodlands;"11.40 < WTP ≤ 24.38" 11;x;Watercour–ses;"24.38 < WTP ≤ 37.73" "Nijkamp et al. 2008 *** Table 5";9;"(No statistical model with covariates, but an apriori algorithm)";x;x;Wildlife*;"WTP ≤ 11.40" 7;x;"Endangered species";"WTP > 46.1" 6;x;Wetlands;"37.73 < WTP ≤ 46.1" 6;x;Biodiversity;"24.38 < WTP ≤ 37.73" 5;x;Landscape;"WTP > 46.1" 4;x;"National parks and nature reserves";"WTP ≤ 11.40"