The relationship between values and knowledge in visioning for landscape management: relevance for a collaborative approach

Año Publicación:  2022
Responsable: A-I. Horcea-Milcu et al.
Journal, Volumen y páginas:
Ecosystems and People, 18, 1, 498-513


A-I. Horcea-Milcu, S. Zaman, A. Filyushkina, M. D. López-Rodríguez, M. A. Cebrián-Piqueras & C. M. Raymond


Respecting connections between the diversity of values and forms of knowledge is essential to support a decision-making that fosters relationships between ecosystems and people. However, little theory has been developed for clarifying interactions between values and knowledge, and their relevance for environmental policy. We surfaced the overlooked relationship between values and knowledge by studying individual cognitive and emotional processes during a guided visioning exercise in the context of the multifunctional landscapes of Östergötland, Sweden. We investigated these cognitive processes using 30 semi-structured interviews and questionnaires organized around three types of relationships: vision ⇔ values, vision ⇔ knowledge, and especially values ⇔ knowledge. The analysis of the relationship between vision and values reveals that all types of values including core human values, relational, and intrinsic values are important in shaping the decision-making context in which landscape management visions arise. The relationship between vision and knowledge uncovers the mix of experiential and theoretical knowledge that informs the decision-making context. Interviews unfold three modalities in terms of how values and knowledge relate: i) linked and not necessarily connected (e.g. when individuals perceive a high conflict between their knowledge and their values leading to one construct silencing the other); ii) mutually reinforcing (e.g. when values and knowledge are seen as feeding into one another); and iii) intertwined (e.g. when individuals perceive that values and knowledge can co-exist). We discuss our findings in the context of their relevance for a collaborative decision-making process for balancing consensus and dissensus in multifunctional landscapes.

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