Analysis of Multi-Actor Policy Contexts Using Perception Graphs

Bots, Pieter W. G.

doi:10.1109/iat.2007.31

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…Actor modelling is performed using the software DANA (www.dana.actoranalysis.com; Bots et al, 2007). An example of a perception graph generated using the software is illustrated in Fig.…”

Section: Actor-based Modellingmentioning

confidence: 99%

Transdisciplinary research for supporting the inte-gration of ecosystem services into land and water management in the Tarim River Basin, Xinjiang, China

Siew¹,

Döll²

2012

Journal of Arid Land

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There is a growing need for both science and practice domains to collaboratively and systematically seek knowledge-based strategies for sustainable development. In recent years, transdisciplinary research has emerged as a new approach that enables joint problem solving among scientists and stakeholders in various fields. In this paper, we aim to introduce transdisciplinary research for supporting the integration of the concept of ecosystem services into land and water management in the Tarim River Basin, Xinjiang, Northwest China. While a large number of ecosystem service studies have helped to raise the awareness for the value of nature in China, a number of challenges remain, including an improved understanding of the relationships between ecosystem structure, functions and services, and the interaction of the various ecosystem services. A meaningful valuation of ecosystem services also requires the consideration of their strong spatial heterogeneity. In addition, ways to introduce the concept of ecosystem services into decision-making in China need to be explored. Thus, successful integration of the concept of ecosystem services into actual land and water management requires a broad knowledge base that only a number of scientific disciplines and stakeholders can provide jointly, via a transdisciplinary research process. We regard transdisciplinary research as a recursive process to support adaptive management that includes joint knowledge generation and integration among scientists and stakeholders. System, target, and transformation knowledge are generated and integrated during the process of (1) problem (re)definition, (2) problem analysis and strategy development, and (3) evaluation of the impact of the derived strategy. Methods to support transdisciplinary research comprise participatory modelling (actor-based modelling and Bayesian Networks modelling) and participatory scenario development. Actor-based modelling is a semi-quantitative method that is based on the analysis of problem perspectives of individual stakeholders as depicted in perception graphs. With Bayesian Networks, complex problem fields are modelled probabilistically in a simplified manner, using both quantitative data and qualitative expert judgments. These participatory methods serve to integrate diverse scientific and stakeholder knowledge and to support the generation of actually implementable management strategies for sustainable development. For the purpose of integrating ecosystem services in land and water management in the Tarim River Basin through transdisciplinary research, collaboration among scientists and institutional stakeholders from different sectors including water, agriculture, forestry, and nature conservation is required. The challenge is to adapt methods of transdisciplinary research to socio-cultural conditions in China, particularly regarding ways of communication and decision-making.

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“…Actor modelling is performed using the software DANA (www.dana.actoranalysis.com; Bots et al, 2007). An example of a perception graph generated using the software is illustrated in Fig.…”

Section: Actor-based Modellingmentioning

confidence: 99%

Transdisciplinary research for supporting the inte-gration of ecosystem services into land and water management in the Tarim River Basin, Xinjiang, China

Siew¹,

Döll²

2012

Journal of Arid Land

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“…The DANA workbench is based on the assumption that the situations by which actors are influenced and to which they adapt themselves do not stem from the 'objective' world of the analyst, but from their own subjectively perceived world (Bots, 2007). This method represents the views of the actor in cognitive maps, which are conceptual models that show the perceptions of actors as a combination of objectives, factors and instruments, which are linked by arrows that depict the assumed influences among the elements (Hermans & Muluk, 2008).…”

Section: Discussionmentioning

confidence: 99%

The Iranian Wheat Growers’ Climate Information Use

Sharifzadeh

Zamani

Tatnall

et al. 2012

International Journal of Actor-Network Theory and Technological Innovation

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This research project employed an interdisciplinary attempt to study agricultural climate information use, linking sociology of translation (actor-network theory) and actor analysis premises in a qualitative research design. The research method used case study approaches and purposively selected a sample consisting of wheat growers of the Fars province of Iran, who are known as contact farmers. Concepts from actor-network theory (ANT) have been found to provide a useful perspective on the description and analysis of the cases. The data were analyzed using a combination of an actor-network theory (ANT) framework and the dynamic actor-network analysis (DANA) model. The findings revealed socio political (farmers’ awareness, motivation, and trust), and information processing factors (accuracy of information, access to information, and correspondence of information to farmers’ condition) as the key elements in facilitating climate information use in farming practices.

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“…Concern assessment is a purely scientific assessment (in parallel to a scientific risk assessment done by social and natural scientists) that provides sound knowledge about concerns, expectations, and worries that individuals or groups who do not participate in the PRMP may associate with the hazard. For example, while economists and engineers see water problems best solved through allocation mechanisms, ecologists and indigenous communities might see watershed conservation as the primary concern [Brugnach and Ingram, 2012]. While some might consider nuclear energy to be a safe and proven alternative to mitigate climate risks, others might fear its potential negative impacts.…”

Section: Methodsmentioning

confidence: 99%

“…Actor modeling has the unique capacity to show ambiguity in PPs because perception graphs, derived for each of the stakeholders, show the diverse system, target, and transformation knowledges of the stakeholders, i.e., their problem perceptions and values (Table ). Perception graphs are directed acyclic graphs that relate stakeholder goals (e.g., the reduction of specific CC risk) with influencing factors, options for action by specified actors and external factors (e.g., change of climatic variables) ([ Bots , ]; actor modeling software DANA at http://dana.actoranalysis.com/). They are semi‐quantitative, as factors, utility of goal achievement and causal relations are all expressed on a scale of 7.…”

Section: Methodsmentioning

confidence: 99%

How to embrace uncertainty in participatory climate change risk management—A roadmap

Döll

Romero‐Lankao

2017

Earth's Future

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The Earth's future depends on how we manage the manifold risks of climate change (CC). It is state-of-the-art to assume that risk reduction requires participatory management involving a broad range of stakeholders and scientists. However, there is still little knowledge about the optimal design of participatory climate change risk management processes (PRMPs), in particular with respect to considering the multitude of substantial uncertainties that are relevant for PRMPs. To support the many local to regional PRMPs that are necessary for a successful global-scale reduction of CC risks, we present a roadmap for designing such transdisciplinary knowledge integration processes. The roadmap suggests ways in which uncertainties can be comprehensively addressed within a PRMP. We discuss the concept of CC risks and their management and propose an uncertainty framework that distinguishes epistemic, ontological, and linguistic uncertainty as well as ambiguity. Uncertainties relevant for CC risk management are identified. Communicative and modeling methods that support social learning as well as the development of risk management strategies are proposed for each of six phases of a PRMP. Finally, we recommend how to evaluate PRMPs as such evaluations and their publication are paramount for achieving a reduction of CC risks.

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Analysis of Multi-Actor Policy Contexts Using Perception Graphs

Abstract: Abstract

Cited by 10 publications

References 18 publications

Transdisciplinary research for supporting the inte-gration of ecosystem services into land and water management in the Tarim River Basin, Xinjiang, China

Transdisciplinary research for supporting the inte-gration of ecosystem services into land and water management in the Tarim River Basin, Xinjiang, China

The Iranian Wheat Growers’ Climate Information Use

How to embrace uncertainty in participatory climate change risk management—A roadmap

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