How interactive simulations can improve the support of environmental management: lessons from the Dutch peatlands

Publication date

2019-09

Authors

van Hardeveld, H. A.ISNI 0000000436392966
Driessen, Petrus Paulus JosephORCID 0000-0002-0724-6666ISNI 0000000140953103
Schot, P. P.ORCID 0000-0002-0346-0737ISNI 0000000116334409
Wassen, M.ORCID 0000-0002-9735-2103ISNI 0000000392292815

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

How interactive simulation systems can improve the support of environmental management is not fully understood. We therefore cross-analyzed questionnaires with logfiles and videos of workshops in which an interactive simulation system for peatland management was applied, to derive an in-depth perspective of its added values. The workshop participants explored the physical system dynamics, implementing measures, and the social system dynamics, brokering deals with other stakeholders. The system enabled capacity building at individual and group level, through iterative exploration of possible measures. As a result, cooperation among the stakeholders was enhanced and their understanding of problems and action perspectives regarding the peatlands was increased. Interventions that stimulated deliberation during the workshops were shown to prevent individualistic strategies, and instead fostered cooperative attitudes. The embeddedness in preceding Science‒Policy Interfaces enhanced the credibility and legitimacy of the system, whereas salience was strengthened by abundant detailed information, realistic visual quality, and short calculation times.

Keywords

Interactive simulation, Participatory modeling, Peatlands, Serious gaming, Soil subsidence, Sustainable water management, Taverne, Software, Environmental Engineering, Ecological Modelling

Citation

van Hardeveld, H A, Driessen, P P J, Schot, P P & Wassen, M J 2019, 'How interactive simulations can improve the support of environmental management : lessons from the Dutch peatlands', Environmental Modelling and Software, vol. 119, pp. 135-146. https://doi.org/10.1016/j.envsoft.2019.06.001