Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict

The objective of this paper is to question the increasingly common choice to build and use spatially explicit models, especially in the case of participatory agent-based modelling processes. The paper draws on a combination of lessons from literature and the case of a companion modelling process conducted in the context of a conflict about land and forest management in Northern Thailand. Using insights from negotiation theories, we analyze specifically the influence of spatial representations on the way people interacted, discussed and learnt from each other in the participatory modelling process. We argue that models that are spatially too explicit and realistic can actually impede the exploration of innovative and integrative scenarios in which ecological, social and economic objectives are mutually enriching. Indeed, spatial representations might lead to think in terms of boundaries and segregated space, and therefore prevent from thinking in terms of multifunctional space and from finding innovative and integrative solutions.

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Main Authors: Barnaud, Cécile, Le Page, Christophe, Dumrongrojwatthana, Pongchai, Trébuil, Guy
Format: article biblioteca
Language:eng
Subjects:U30 - Méthodes de recherche, U10 - Informatique, mathématiques et statistiques, K01 - Foresterie - Considérations générales, E11 - Économie et politique foncières, http://aims.fao.org/aos/agrovoc/c_7701,
Online Access:http://agritrop.cirad.fr/569550/
http://agritrop.cirad.fr/569550/1/document_569550.pdf
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spelling dig-cirad-fr-5695502022-03-30T14:50:52Z http://agritrop.cirad.fr/569550/ http://agritrop.cirad.fr/569550/ Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict. Barnaud Cécile, Le Page Christophe, Dumrongrojwatthana Pongchai, Trébuil Guy. 2013. Environmental Modelling and Software, 45 : 150-159.https://doi.org/10.1016/j.envsoft.2011.11.016 <https://doi.org/10.1016/j.envsoft.2011.11.016> Researchers Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict Barnaud, Cécile Le Page, Christophe Dumrongrojwatthana, Pongchai Trébuil, Guy eng 2013 Environmental Modelling and Software U30 - Méthodes de recherche U10 - Informatique, mathématiques et statistiques K01 - Foresterie - Considérations générales E11 - Économie et politique foncières Thaïlande http://aims.fao.org/aos/agrovoc/c_7701 The objective of this paper is to question the increasingly common choice to build and use spatially explicit models, especially in the case of participatory agent-based modelling processes. The paper draws on a combination of lessons from literature and the case of a companion modelling process conducted in the context of a conflict about land and forest management in Northern Thailand. Using insights from negotiation theories, we analyze specifically the influence of spatial representations on the way people interacted, discussed and learnt from each other in the participatory modelling process. We argue that models that are spatially too explicit and realistic can actually impede the exploration of innovative and integrative scenarios in which ecological, social and economic objectives are mutually enriching. Indeed, spatial representations might lead to think in terms of boundaries and segregated space, and therefore prevent from thinking in terms of multifunctional space and from finding innovative and integrative solutions. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/569550/1/document_569550.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.envsoft.2011.11.016 10.1016/j.envsoft.2011.11.016 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.envsoft.2011.11.016 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.envsoft.2011.11.016
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
E11 - Économie et politique foncières
http://aims.fao.org/aos/agrovoc/c_7701
U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
E11 - Économie et politique foncières
http://aims.fao.org/aos/agrovoc/c_7701
spellingShingle U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
E11 - Économie et politique foncières
http://aims.fao.org/aos/agrovoc/c_7701
U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
E11 - Économie et politique foncières
http://aims.fao.org/aos/agrovoc/c_7701
Barnaud, Cécile
Le Page, Christophe
Dumrongrojwatthana, Pongchai
Trébuil, Guy
Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict
description The objective of this paper is to question the increasingly common choice to build and use spatially explicit models, especially in the case of participatory agent-based modelling processes. The paper draws on a combination of lessons from literature and the case of a companion modelling process conducted in the context of a conflict about land and forest management in Northern Thailand. Using insights from negotiation theories, we analyze specifically the influence of spatial representations on the way people interacted, discussed and learnt from each other in the participatory modelling process. We argue that models that are spatially too explicit and realistic can actually impede the exploration of innovative and integrative scenarios in which ecological, social and economic objectives are mutually enriching. Indeed, spatial representations might lead to think in terms of boundaries and segregated space, and therefore prevent from thinking in terms of multifunctional space and from finding innovative and integrative solutions.
format article
topic_facet U30 - Méthodes de recherche
U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
E11 - Économie et politique foncières
http://aims.fao.org/aos/agrovoc/c_7701
author Barnaud, Cécile
Le Page, Christophe
Dumrongrojwatthana, Pongchai
Trébuil, Guy
author_facet Barnaud, Cécile
Le Page, Christophe
Dumrongrojwatthana, Pongchai
Trébuil, Guy
author_sort Barnaud, Cécile
title Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict
title_short Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict
title_full Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict
title_fullStr Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict
title_full_unstemmed Spatial representations are not neutral: Lessons from a participatory agent-based modelling process in a land-use conflict
title_sort spatial representations are not neutral: lessons from a participatory agent-based modelling process in a land-use conflict
url http://agritrop.cirad.fr/569550/
http://agritrop.cirad.fr/569550/1/document_569550.pdf
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