Jones Natalie A., Ross Helen, Lynam Timothy, Perez Pascal, Leitch Anne. 2011. Mental models: An interdisciplinary synthesis of theory methods. Ecology and Society, 16 (1):46, 12 p.
Version publiée
- Anglais
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Type d'url non précisé : https://www.jstor.org/stable/26268859
Quartile : Q1, Sujet : ENVIRONMENTAL STUDIES / Quartile : Q2, Sujet : ECOLOGY
Résumé : Mental models are personal, internal representations of external reality that people use to interact with the world around them. They are constructed by individuals based on their unique life experiences, perceptions, and understandings of the world. Mental models are used to reason and make decisions and can be the basis of individual behaviors. They provide the mechanism through which new information is filtered and stored. Recognizing and dealing with the plurality of stakeholder's perceptions, values, and goals is currently considered a key aspect of effective natural resource management (NRM) practice. Therefore, gaining a better understanding of how mental models internally represent complex, dynamic systems and how these representations change over time will allow us to develop mechanisms to enhance effective management and use of natural resources. Realizing this potential, however, relies on developing and testing adequate tools and techniques to elicit these internal representations of the world effectively. This paper provides an interdisciplinary synthesis of the literature that has contributed to the theoretical development and practical application of the mental model construct. It explores the utility and applicability of the construct in the context of NRM and includes a review of elicitation techniques used within the field. The major theoretical and practical challenges that arise in drawing on the construct to provide a cognitive dimension to NRM are also addressed.
Mots-clés Agrovoc : facteur psychologique, sociologie, gestion des ressources naturelles, méthode statistique, modèle
Mots-clés géographiques Agrovoc : Australie, Queensland
Mots-clés complémentaires : Connaissance du milieu
Classification Agris : U30 - Méthodes de recherche
000 - Autres thèmes
P01 - Conservation de la nature et ressources foncières
U10 - Informatique, mathématiques et statistiques
Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés
Auteurs et affiliations
- Jones Natalie A., University of Queensland (AUS)
- Ross Helen, University of Queensland (AUS)
- Lynam Timothy, CSIRO (AUS)
- Perez Pascal, CIRAD-ES-UPR GREEN (AUS)
- Leitch Anne, CSIRO (AUS)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/559638/)
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