Literature DB >> 28922513

Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling.

Steven Gray1, Alexey Voinov2, Michael Paolisso3, Rebecca Jordan4, Todd BenDor5, Pierre Bommel6,7, Pierre Glynn8, Beatrice Hedelin9, Klaus Hubacek10, Josh Introne11, Nagesh Kolagani12, Bethany Laursen13, Christina Prell14, Laura Schmitt Olabisi1, Alison Singer1, Eleanor Sterling15, Moira Zellner16.   

Abstract

Including stakeholders in environmental model building and analysis is an increasingly popular approach to understanding ecological change. This is because stakeholders often hold valuable knowledge about socio-environmental dynamics and collaborative forms of modeling produce important boundary objects used to collectively reason about environmental problems. Although the number of participatory modeling (PM) case studies and the number of researchers adopting these approaches has grown in recent years, the lack of standardized reporting and limited reproducibility have prevented PM's establishment and advancement as a cohesive field of study. We suggest a four-dimensional framework (4P) that includes reporting on dimensions of (1) the Purpose for selecting a PM approach (the why); (2) the Process by which the public was involved in model building or evaluation (the how); (3) the Partnerships formed (the who); and (4) the Products that resulted from these efforts (the what). We highlight four case studies that use common PM software-based approaches (fuzzy cognitive mapping, agent-based modeling, system dynamics, and participatory geospatial modeling) to understand human-environment interactions and the consequences of ecological changes, including bushmeat hunting in Tanzania and Cameroon, agricultural production and deforestation in Zambia, and groundwater management in India. We demonstrate how standardizing communication about PM case studies can lead to innovation and new insights about model-based reasoning in support of ecological policy development. We suggest that our 4P framework and reporting approach provides a way for new hypotheses to be identified and tested in the growing field of PM.
© 2017 by the Ecological Society of America.

Entities:  

Keywords:  agent-based modeling; collaborative modeling; fuzzy cognitive mapping; learning; participatory GIS; participatory modeling; public participation; stakeholder collaboration; system dynamics

Mesh:

Year:  2017        PMID: 28922513     DOI: 10.1002/eap.1627

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  7 in total

1.  Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: successes and challenges.

Authors:  Bradley L Barnhart; Heather E Golden; Joseph R Kasprzyk; James J Pauer; Chas E Jones; Keith A Sawicz; Nahal Hoghooghi; Michelle Simon; Robert B McKane; Paul M Mayer; Amy N Piscopo; Darren L Ficklin; Jonathan J Halama; Paul B Pettus; Brenda Rashleigh
Journal:  Environ Model Softw       Date:  2018-11       Impact factor: 5.288

2.  How clean is clean: a review of the social science of environmental cleanups.

Authors:  Keely Maxwell; Brittany Kiessling; Jenifer Buckley
Journal:  Environ Res Lett       Date:  2018-08-16       Impact factor: 6.793

Review 3.  Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review.

Authors:  Grace Yeeun Lee; Ian Bernard Hickie; Jo-An Occhipinti; Yun Ju Christine Song; Adam Skinner; Salvador Camacho; Kenny Lawson; Adriane Martin Hilber; Louise Freebairn
Journal:  PLoS One       Date:  2022-04-22       Impact factor: 3.752

Review 4.  Lessons learned from the introduction of genetically engineered crops: relevance to gene drive deployment in Africa.

Authors:  Hector Quemada
Journal:  Transgenic Res       Date:  2022-05-11       Impact factor: 3.145

5.  Decision makers' experience of participatory dynamic simulation modelling: methods for public health policy.

Authors:  Louise Freebairn; Jo-An Atkinson; Paul M Kelly; Geoff McDonnell; Lucie Rychetnik
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-12       Impact factor: 2.796

6.  Turning conceptual systems maps into dynamic simulation models: An Australian case study for diabetes in pregnancy.

Authors:  Louise Freebairn; Jo-An Atkinson; Nathaniel D Osgood; Paul M Kelly; Geoff McDonnell; Lucie Rychetnik
Journal:  PLoS One       Date:  2019-06-27       Impact factor: 3.240

7.  Understanding conflicting cultural models of outdoor cats to overcome conservation impasse.

Authors:  Kirsten M Leong; Ashley R Gramza; Christopher A Lepczyk
Journal:  Conserv Biol       Date:  2020-06-27       Impact factor: 6.560

  7 in total

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