Fuzzy Cognitive Map Clustering to Assess Local Knowledge of Ecosystem Conservation in Ecuador

Smallholder farmers in developing countries such as Ecuador have contributed widely to ecosystem conservation. Although they have been affected by the consequences of climate change, the synergy of Pachamama care and technical knowledge has become key to sustaining dynamics in their local territories. This paper presents a combined methodology approach based on fuzzy cognitive mapping (FCM) and hierarchical cluster analysis (HCA) to capture perceptions of ecosystem conservation. The purpose was to assess the impact of the “Biocorridors for Living Well” program on the application of local knowledge by smallholder farmers. The findings showed that program managers had a limited narrow focus based on the general program ideology, whereas peasants’ perceptions revealed a more complex map, highlighting the importance of building capacities beyond sustainable agricultural techniques. Also, both groups were aware of the contribution of ecosystem conservation to rural development. However, it is essential to stress that the contribution of smallholder farmers to conservation was critical, and most of the time, their efforts were not valued. Therefore, to scale up program outcomes, national and international institutions require an understanding of local peasants’ perceptions to guarantee action sustainability and to avoid repetitive actions in their local territories.