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Farmer models of socio-ecologic systems: Application of causal mapping across multiple locations

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  • Fairweather, John

Abstract

Modelling ecological or environmental problems has potential to provide understanding of the causes of such problems and to indicate how to better manage them. Özesmi and Özesmi (2004) showed that cognitive or causal mapping can be used to develop maps of socio-ecological systems but these maps were based on stakeholders concerned with one ecosystem. This article shows how maps from a number of different dairy farmers in different locations, but each considering his or her own farm, can be used in meta analysis to make maps that represent how farmers think their farm ecosystem works. It also shows that the combination of causal mapping with the additional technique of Q method provides a useful solution to the practical problem of selecting from a sufficiently broad range of factors with potential to use in a map. Causal mapping in single or multiple locations contributes to the goal of using peoples’ knowledge of ecosystems to improve our understanding of socio-ecological systems.

Suggested Citation

  • Fairweather, John, 2010. "Farmer models of socio-ecologic systems: Application of causal mapping across multiple locations," Ecological Modelling, Elsevier, vol. 221(3), pages 555-562.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:3:p:555-562
    DOI: 10.1016/j.ecolmodel.2009.10.026
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    References listed on IDEAS

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    1. Eden, Colin & Ackermann, Fran, 2004. "Cognitive mapping expert views for policy analysis in the public sector," European Journal of Operational Research, Elsevier, vol. 152(3), pages 615-630, February.
    2. Carol Pierce Colfer & Barbara Newton, Herman, 1989. "Ethnicity: An important consideration in Indonesian agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 6(3), pages 52-67, June.
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    Cited by:

    1. Kaufmann, Brigitte A., 2011. "Second-order cybernetics as a tool to understand why pastoralists do what they do," Agricultural Systems, Elsevier, vol. 104(9), pages 655-665.
    2. Castilla-Rho, Juan & Kenny, Daniel, 2022. "What prevents the adoption of regenerative agriculture and what can we do about it? Lessons from a behaviorally-attuned Participatory Modelling exercise in Australia," OSF Preprints asxr2, Center for Open Science.
    3. Evgenia Micha & Owen Fenton & Karen Daly & Gabriella Kakonyi & Golnaz Ezzati & Thomas Moloney & Steven Thornton, 2020. "The Complex Pathway towards Farm-Level Sustainable Intensification: An Exploratory Network Analysis of Stakeholders’ Knowledge and Perception," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    4. Micha, Evgenia & Fenton, Owen & Daly, Karen & Kakonyi, Gabriella & Ezzati, Golnaz & Moloney, Thomas & Thornton, Steven F, 2019. "Mapping the pathways towards farm-level sustainable intensification of agriculture: an exploratory network 3 analysis of stakeholders’ views," SocArXiv 2rqjd, Center for Open Science.
    5. Vanwindekens, Frédéric M. & Stilmant, Didier & Baret, Philippe V., 2013. "Development of a broadened cognitive mapping approach for analysing systems of practices in social–ecological systems," Ecological Modelling, Elsevier, vol. 250(C), pages 352-362.
    6. Praveen Kumar & Christine Fürst & P. K. Joshi, 2021. "Socio-Ecological Systems (SESs)—Identification and Spatial Mapping in the Central Himalaya," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    7. Victoria Alomia‐Hinojosa & Jeroen C. J. Groot & Jens A. Andersson & Erika N. Speelman & Andrew J. McDonald & Pablo Tittonell, 2023. "Assessing farmer perceptions on livestock intensification and associated trade‐offs using fuzzy cognitive maps; a study in mixed farming systems in the mid‐hills of Nepal," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 146-158, January.
    8. Vanwindekens, Frédéric M. & Baret, Philippe V. & Stilmant, Didier, 2014. "A new approach for comparing and categorizing farmers’ systems of practice based on cognitive mapping and graph theory indicators," Ecological Modelling, Elsevier, vol. 274(C), pages 1-11.
    9. Daniel C. Kenny & Juan Castilla-Rho, 2022. "What Prevents the Adoption of Regenerative Agriculture and What Can We Do about It? Lessons and Narratives from a Participatory Modelling Exercise in Australia," Land, MDPI, vol. 11(9), pages 1-30, August.

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