Evaluating deliberative and analytical methods for the resolution of environmental conflicts

Rauschmayer, Felix; Wittmer, Heidi

doi:10.1016/j.landusepol.2004.08.011

Cited by 122 publications

(71 citation statements)

References 26 publications

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“…It is based on participatory philosophies of social learning (Cundill and Rodela 2012;Reed et al 2010), and aims for 'empower' blended with 'inform' and 'involve' on the spectrum of public participation (IAP2 2014). Science input was carefully staged to support, rather than dominate, community process (Rauschmayer and Wittmer 2006). Generic elements suited for adaptation elsewhere are:…”

Section: Discussionmentioning

confidence: 99%

A participatory systems approach to understanding climate adaptation needs

et al. 2015

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Emerging literature on climate adaptation suggests the need for effective ways of engaging or activating communities and supporting community roles, coupled with whole-of-system approaches to understanding climate change and adaptation needs. We have developed and evaluated a participatory approach to elicit community and stakeholder understanding of climate change adaptation needs, and connect diverse community members and local office bearers towards potential action. The approach was trialed in a series of connected social-ecological systems along a transect from a rural area to the coast and islands of ecologically sensitive Moreton Bay in Queensland, Australia. We conducted 'climate roundtables' in each of three areas along the transect, then a fourth roundtable reviewed and extended the results to the region as a whole. Influence diagrams produced through the process show how each climate variable forecast to affect this region (heat, storm, flood, sea-level rise, Climatic Change (2015) A participatory systems approach to understanding climate adaptation needs fire, drought) affects the natural environment, infrastructure, economic and social behaviour patterns, and psychosocial responses, and how sets of people, species and ecosystems are affected, and act, differentially. The participatory process proved effective as a way of building local empathy, a local knowledge base and empowering participants to join towards future climate adaptation action. Key principles are highlighted to assist in adapting the process for use elsewhere.

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Section: Discussionmentioning

confidence: 99%

A participatory systems approach to understanding climate adaptation needs

et al. 2015

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“…Even though societal decision-making approaches are preferred in principle when the issues at stake are highly complex, technical decision making is useful when there is no need to include the public because the issues are predominantly technical and/or resources are scarce (see, e.g., Porthin et al 2013). In fact, although technical evaluations are generally inexpensive-apart from gathering information with ad hoc surveys, the application of societal multicriteria methods is usually resource-, data-, and timeintensive (Rauschmayer andWittmer 2006, Qin et al 2008). Furthermore, the inclusion of different stakeholder perspectives and interests in the decision-making process is not an easy task, as different individuals or groups of individuals can have conflicting views and perceptions over the same problem (Septer et al 2012).…”

Section: Participatory Multicriteria Methods and Their Relevance For mentioning

confidence: 99%

Integrating adaptive governance and participatory multicriteria methods: a framework for climate adaptation governance

Munaretto

Siciliano²,

Turvani³

2014

E&S

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ABSTRACT. Climate adaptation is a dynamic social and institutional process where the governance dimension is receiving growing attention. Adaptive governance is an approach that promises to reduce uncertainty by improving the knowledge base for decision making. As uncertainty is an inherent feature of climate adaptation, adaptive governance seems to be a promising approach for improving climate adaptation governance. However, the adaptive governance literature has so far paid little attention to decisionmaking tools and methods, and the literature on the governance of adaptation is in its infancy in this regard. We argue that climate adaptation governance would benefit from systematic and yet flexible decision-making tools and methods such as participatory multicriteria methods for the evaluation of adaptation options, and that these methods can be linked to key adaptive governance principles. Moving from these premises, we propose a framework that integrates key adaptive governance features into participatory multicriteria methods for the governance of climate adaptation.

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“…It is important to recognize that the scientific understanding, while the best available, may still be contested or contestable; thus, criticism for lack of transparency may just be a screen for stakeholders with legitimate or selfish vested interest disagreeing with the outcomes of the model (e.g., Caminiti 2004). Many of the decisions in natural resource management have substantial normative components, e.g., the preferences for alternative outcomes expressed as minimum standards or thresholds or the ideal state to which a systems' management should lead (Rauschmayer and Wittmer 2006). In these cases, it may be that disagreement on the model outcomes is simply a means of delaying or preventing undesirable outcomes.…”

Section: Modeling Backgroundmentioning

confidence: 99%

“…This requires the deliberative process to explore the hidden rationalities in the arguments of any party and thus avoid that the two modes remain in different corners. Despite these caveats, approaches such as mediated modeling have been in fact successfully used within the social sciences as part of processes to address (through the exercise of value-laden judgments) complex issues with conflicting stakeholder groups (Rauschmayer and Wittmer 2006).…”

Section: Stakeholder Approachesmentioning

confidence: 99%

Deliberative processes for comprehensive evaluation of agroecological models. A review

Bellocchi

Rivington

Matthews

et al. 2014

Agron. Sustain. Dev.

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The use of biophysical models in agroecology has increased in the last few decades for two main reasons: the need to formalize empirical knowledge and the need to disseminate model-based decision support for decision makers (such as farmers, advisors, and policy makers). The first has encouraged the development and use of mathematical models to enhance the efficiency of field research through extrapolation beyond the limits of site, season, and management. The second reflects the increasing need (by scientists, managers, and the public) for simulation experimentation to explore options and consequences, for example, future resource use efficiency (i.e., management in sustainable intensification), impacts of and adaptation to climate change, understanding market and policy responses to shocks initiated at a biophysical level under increasing demand, and limited supply capacity. Production concerns thus dominate most model applications, but there is a notable growing emphasis on environmental, economic, and policy dimensions. Identifying effective methods of assessing model quality and performance has become a challenging but vital imperative, considering the variety of factors influencing model outputs. Understanding the requirements of stakeholders, in respect of model use, logically implies the need for their inclusion in model evaluation methods. We reviewed the use of metrics of model evaluation, with a particular emphasis on the involvement of stakeholders to expand horizons beyond conventional structured, numeric analyses. Two major topics are discussed: (1) the importance of deliberative processes for model evaluation, and (2) the role computer-aided techniques may play to integrate deliberative processes into the evaluation of agroecological models. We point out that (i) the evaluation of agroecological models can be improved through stakeholder follow-up, which is a key for the acceptability of model realizations in practice, (ii) model credibility depends not only on the outcomes of well-structured, numerically based evaluation, but also on less tangible factors that may need to be addressed using complementary deliberative processes, (iii) comprehensive evaluation of simulation models can be achieved by integrating the expectations of stakeholders via a weighting system of preferences and perception, (iv) questionnaire-based surveys can help understand the challenges posed by the deliberative process, and (v) a benefit can be obtained if model evaluation is conceived in a decisional perspective and evaluation techniques are developed at the same pace with which the models themselves are created and improved. Scientific knowledge hubs are also recognized as critical pillars to advance good modeling practice in relation to model evaluation (including access to dedicated software tools), an activity which is frequently neglected in the context of time-limited framework programs.

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Evaluating deliberative and analytical methods for the resolution of environmental conflicts

Cited by 122 publications

References 26 publications

A participatory systems approach to understanding climate adaptation needs

A participatory systems approach to understanding climate adaptation needs

Integrating adaptive governance and participatory multicriteria methods: a framework for climate adaptation governance

Deliberative processes for comprehensive evaluation of agroecological models. A review

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