Table 1. Data collection and analysis of the different components of the conceptual model of the farmer decision-making process (Figure 1).

Objectives	Decision-making process components	Data collection	Data types	Data Analysis	Results
Role-playing game inputs	Contextual factors	Three socio-economic and climatic scenarios and initial boards corresponding to the three sessions of the “feedback game”	Qualitative and quantitative	“Scenarios game
	Consequence on ES	"Feedback game” rules (number of pieces allowed in each land use type)	Qualitative and quantitative	“Scenarios game”	Table 1
Modelling farmers cognitions	Knowledge	"Feedback game" discussions	Qualitative	Retranscription	Figure 2; Table 6
	Values	"Feedback game" questionnaire	Quantitative	Likert-scale	Table 4; Table 6
	Decision	"Feedback game" discussions	Qualitative	Retranscription	Table 8; Table 6
	Behavior	"Feedback game" board game	Qualitative and quantitative	Digitalisation	Table 7
	Links between components	"Feedback game"	Qualitative and quantitative	Process tracing approach	Table 6
Validation of game results
	Knowledge	Farmers individual + group interviews	Qualitative	Qualitative analysis of description of current practices
	Values	Farmers individual interviews + Field function mapping	Quantitative	Anova and Chi-squared	Table 5
	Decision	Farmers individual interviews + scenarios game	Quantitative Quantitative	Regression	Table 5
	Behavior	Farmer participatory photo mapping	Quantitative	Regression	Table 5
	Contextual factors	Ancillary data	Quantitative	Regression	Table 5