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| Cilliers, Paul; University of Stellenbosch; fpc@sun.ac.za; Biggs, Harry C.; South African National Parks; biggs@sanparks.org; Blignaut, Sonja; The Narrative Lab; sonja@narrativelab.co.za; Choles, Aiden G.; The Narrative Lab; aiden@narrativelab.co.za; Hofmeyr, Jan-Hendrik S.; University of Stellenbosch; jhsh@sun.ac.za; Jewitt, Graham P. W.; University of Kwazulu Natal; jewittg@ukzn.ac.za; Roux, Dirk J.; South African National Parks; Nelson Mandela Metropolitan University; Monash South Africa; dirkr@sanparks.org. |
| This paper contends that natural resource management (NRM) issues are, by their very nature, complex and that both scientists and managers in this broad field will benefit from a theoretical understanding of complex systems. It starts off by presenting the core features of a view of complexity that not only deals with the limits to our understanding, but also points toward a responsible and motivating position. Everything we do involves explicit or implicit modeling, and as we can never have comprehensive access to any complex system, we need to be aware both of what we leave out as we model and of the implications of the choice of our modeling framework. One vantage point is never sufficient, as complexity necessarily implies that multiple (independent)... |
| Tipo: Peer-Reviewed Synthesis |
Palavras-chave: Complex systems; Diversity; Management; Mental models; Resilience; Social complexity; Social– Ecological systems. |
| Ano: 2013 |
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| Lynam, Timothy; CSIRO; Reflecting Society; tim.lynam@internode.on.net; Mathevet, Raphael; CNRS, UMR 5175 CEFE; Stockholm Resilience Centre; raphael.mathevet@cefe.cnrs.fr; Stone-Jovicich, Samantha; CSIRO; Samantha.Stone-Jovicich@csiro.au; Leitch, Anne; CSIRO; anne.leitch@csiro.ao; Jones, Nathalie; School of Agriculture and Food Sciences, The University of Queensland; n.jones3@uq.edu.au; Ross, Helen; School of Agriculture and Food Sciences, The University of Queensland; Helen.Ross@uq.edu.au; Du Toit, Derick; AWARD; derick@award.org.za; Pollard, Sharon; AWARD; sharon@award.org.za; Biggs, Harry; SANParks; biggs@sanparks.org; Perez, Pascal; University of Wollongong; pascal@uow.edu.au. |
| Although the broad concept of mental models is gaining currency as a way to explore the link between how people think and interact with their world, this concept is limited by a theoretical and practical understanding of how it can be applied in the study of human-environment relationships. Tools and processes are needed to be able to elicit and analyze mental models. Because mental models are not directly observable, it is also important to understand how the application of any tools and processes affects what is measured. Equally important are the needs to be clear on the intent of the elicitation and to design the methods and choose the settings accordingly. Through this special edition, we explore how mental models are elicited using two approaches... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: ARDI; Consensus analysis; France; Mental models; Social representations; South Africa; Water management. |
| Ano: 2012 |
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| Levine, Jordan; Institute for Resources, Environment and Sustainability, University of British Columbia; jlevine@interchange.ubc.ca; Muthukrishna, Michael; Department of Human Evolutionary Biology, Harvard University; Department of Social Psychology, London School of Economics; muthukrishna@fas.harvard.edu; Chan, Kai M. A.; Institute for Resources, Environment and Sustainability, University of British Columbia; kaichan@ires.ubc.ca; Satterfield, Terre; Institute for Resources, Environment and Sustainability, University of British Columbia; terre.satterfield@ires.ubc.ca. |
| Arriving at shared mental models among multiple stakeholder groups can be crucial for successful management of contested social-ecological systems (SES). Academia can help by first eliciting stakeholders’ initial, often tacit, beliefs about a SES, and representing them in useful ways. We demonstrate a new recombination of techniques for this purpose, focusing specifically on tacit beliefs about food webs. Our approach combines freelisting and sorting techniques, salience analysis, and ultimately network analysis, to produce accessible visualizations of aggregate mental models that can then be used to facilitate discussion or generate further hypotheses about cognitive drivers of conflict. The case study we draw upon to demonstrate this technique... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: British Columbia; Food webs; Mental models; Network analysis; Salience analysis. |
| Ano: 2015 |
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| Stone-Jovicich, Samantha S; CSIRO Ecosystem Sciences, Townsville; samantha.stone-jovicich@csiro.au; Lynam, Timothy; CSIRO Ecosystem Sciences, Townsville; tim.lynam@csiro.au; Leitch, Anne; CSIRO Ecosystem Sciences, Brisbane; ARC CoE Coral Reef Studies, James Cook University; anne.leitch@csiro.au; Jones, Natalie A; University of Queensland, School of Rural and Natural Systems Management; n.jones3@uq.edu.au. |
| The content, structure, and distribution of mental models can be elicited and measured using a variety of methods. In this article we explore a method for eliciting mental models within the context of water use and management in South Africa. This method is consensus analysis, a technique developed in cognitive anthropology. We used it to analyze qualitative data from semistructured interviews, pilesorts, and questionnaires to test quantitatively the degree of sharing and diversity of mental models within and across social groups. The consensus analysis method focused on comparing the mental models of two key stakeholder groups in the Crocodile River catchment in South Africa, i.e., conservationists and irrigators, to better understand the level of... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Consensus analysis; Mental models; South Africa; Water management. |
| Ano: 2011 |
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| Du Toit, Derick R; Association for Water and Rural Development; derick@award.org.za; Biggs, Harry; South African National Parks; biggs@sanparks.org; Pollard, Sharon; Association for Water and Rural Development; sharon@award.org.za. |
| Equitable redistribution of resources is an emergent phenomenon in democratizing countries, and attempts are often characterized by decentralized decision making within a framework of multistakeholder negotiations. South Africa offers a unique opportunity to explore the manifestations of these relationships, particularly through Integrated Water Resources Management and its National Water Act of 1998. The Integrated Water Resources Management framework provides for collaborative strategic planning, shared visioning, consideration to water resource protection, attention to the regulation of use, operational planning, and implementation of management plans. Water users, with different stakes and views of how the resource should be managed, are expected to... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Mental models; Participatory water management; Stakeholder negotiation. |
| Ano: 2011 |
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