A multi-model approach to engaging stakeholder and modellers in complex environmental problems

Abstract Models are increasingly used to support decision-making in the management of natural resources. They can provide system understanding, learning, a platform for stakeholder engagement, projections of system behaviour and an environment for virtual testing of alternative management strategies. However, rarely is a single numerical model suitable for all these purposes. Our experience is that a suite of models of different size, complexity and scope can be more effective and can better address the needs of environmental management projects. Models of different complexity can address different needs, but can also be combined as a flexibly sculpted tool kit – as they require very different development effort they can be deployed at different stages during a project. Using rapidly deployed qualitative, or simple quantitative, models stakeholders can be exposed to models very early in the project, eliciting feedback on appropriate model content and familiarity with the modelling process without affecting the development of more complex, resource intensive, models aimed at answering core management questions. This early and continuous stakeholder exposure to models provides flexibility in addressing specific novel questions as they arise during project development, as well as an opportunity for developing skills and changing both modellers and stakeholders’ attitudes, as is often needed when facing complex problems. Using an example where we used five different model types in an effort to inform policy-making around regional multiple use management in north-western Australia, we describe (i) how each model type can be used, (ii) the different roles the models cover, and (iii) how they fit into a full decision making process and stakeholder engagement. We conclude by summarising the lessons we learnt.

[1]  Martin G. Everett,et al.  Network Role Analysis in the Study of Food Webs: An Application of Regular Role Coloration , 2001, J. Soc. Struct..

[2]  Fabio Boschetti,et al.  Can we learn how complex systems work , 2011 .

[3]  John D. Sterman,et al.  Bathtub dynamics: initial results of a systems thinking inventory , 2000 .

[4]  B. Bramwell,et al.  Collaboration in local tourism policymaking , 1999 .

[5]  Katherine A. Daniell Co-engineering participatory modelling processes for water planning and management , 2008 .

[6]  François Bousquet,et al.  Using Self-Designed Role-Playing Games and a Multi-Agent System to Empower a Local Decision-Making Process for Land Use Management: The SelfCormas Experiment in Senegal , 2003, J. Artif. Soc. Soc. Simul..

[7]  Elizabeth A. Fulton,et al.  An Integrated Approach Is Needed for Ecosystem Based Fisheries Management: Insights from Ecosystem-Level Management Strategy Evaluation , 2014, PloS one.

[8]  André E. Punt,et al.  Design of operational management strategies for achieving fishery ecosystem objectives , 2000 .

[9]  J. Sterman Risk Communication on Climate: Mental Models and Mass Balance , 2008, Science.

[10]  K. D. Joshi,et al.  Knowledge transfer within information systems development teams: Examining the role of knowledge source attributes , 2007, Decis. Support Syst..

[11]  David C. Smith,et al.  The ecosystem approach to fisheries: management at the dynamic interface between biodiversity conservation and sustainable use , 2014, Annals of the New York Academy of Sciences.

[12]  C. Walters Is Adaptive Management Helping to Solve Fisheries Problems? , 2007, Ambio.

[13]  S. Rinaldi,et al.  A theoretical approach to tourism sustainability , 2002 .

[14]  Jeffrey M. Dambacher,et al.  Enhancing science in coastal management through understanding its role in the decision making network , 2012 .

[15]  Cleotilde González,et al.  Why don ’ t well-educated adults understand accumulation ? A challenge to researchers , educators , and citizens , 2008 .

[16]  André E. Punt,et al.  ELFSim—A model for evaluating management options for spatially structured reef fish populations: An illustration of the “larval subsidy” effect , 2007 .

[17]  E. Fulton,et al.  Evaluation of Management Strategies in Ningaloo Marine Park, Western Australia , 2014 .

[18]  A. Punt,et al.  Modelling Multi-Species Targeting of Fishing Effort in the Queensland Coral Reef Fin Fish Fishery , 2008 .

[19]  W. Mare,et al.  Tidier Fisheries Management Requires a New MOP (Management-oriented Paradigm) , 1998, Reviews in Fish Biology and Fisheries.

[20]  Elizabeth A. Fulton,et al.  Interactive modelling for natural resource management , 2010, Environ. Model. Softw..

[21]  M. V. D. Belt,et al.  Mediated Modeling: A System Dynamics Approach To Environmental Consensus Building , 2004 .

[22]  V. Christensen Ecopath With Ecosim: Linking Fisheries And Ecology , 2009 .

[23]  Marie-Joëlle Rochet,et al.  Qualitative modelling and indicators of exploited ecosystems , 2009 .

[24]  Andrew Parker,et al.  Knowing What We Know: Supporting Knowledge Creation and Sharing in Social Networks , 2001 .

[25]  André E. Punt,et al.  Information flow among fishing vessels modelled using a Bayesian network , 2004, Environ. Model. Softw..

[26]  Peter Roberts,et al.  Evaluating regional sustainable development: Approaches, methods and the politics of analysis , 2006 .