Integrated Environmental Modelling: human decisions, human challenges

Glynn, Pierre D.

doi:10.1144/sp408.9

Cited by 19 publications

(26 citation statements)

References 89 publications

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“…Another similarity between the four studies is that stakeholder or scientist biases and values were elicited only implicitly. Recognizing the role that biases, beliefs, heuristics, and values (BBHV) play in the participatory modeling process, has been an area of focus recent papers (e.g., Glynn , , Hämäläinen , Voinov et al. ).…”

Section: P Framework Analysis For the Four Case Studiesmentioning

confidence: 99%

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

Gray

Voinov

Paolisso

et al. 2017

Ecological Applications

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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.

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Section: P Framework Analysis For the Four Case Studiesmentioning

confidence: 99%

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

Gray

Voinov

Paolisso

et al. 2017

Ecological Applications

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“…There is a great need to facilitate the creation of a networked and linked research community tackling these issues across various environmental science disciplines, so that the barriers between disciplines can be crossed. This research community should include end users and other stakeholders, not only researchers (Voinov et al 2016, Glynn 2016 …”

Section: Building a Research Communitymentioning

confidence: 99%

Model fusion at the British Geological Survey: experiences and future trends

Peach

Riddick

Hughes

et al. 2016

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The British Geological Survey (BGS) is developing integrated environmental models to address the grand challenges that face society. Here we describe the BGS vision for an Environmental Modelling Platform (BGS 2009), that will allow integrated models to be built and describe case studies of emerging models in the United Kingdom. This Environmental Modelling Platform will be founded on the data and information that BGS holds. This will have to be made as accessible and interoperable as possible to both the academic and stakeholder decision making community. The geological models that have been built in an adhoc way over the last 5-10 years will be encompassed in a National Geological Model which will be multi-scaled, beginning with onshore United Kingdom and eventually including the offshore continental shelf. The future will be characterised by the routine delivery of 3D model products from a multi-scaled and scalable 3D geological model of the UK which can be dynamically updated. The deployment of this model will generate further significant requirements across the Information and Knowledge Exchange spectrum, from applications development (database, GIS, web and mobile device), data management, information product development, to delivery to a growing number of publics and stakeholders.There is now a growing realisation in the environmental and social sciences that to address the grand challenges that face the world a whole system approach is required. These challenges including climate change, natural resource and energy security and environment vulnerability raise multi-and transdisciplinary issues that require integrated understanding and analysis. Not only must we model the whole physical Earth system, bringing together climate, ecological, hydrological, hydrogeological, and geological models to name but a few, we must link them to socio-economic models. Model fusion may well be the only adequate way to provide the necessary coupled processes framework through which predictions and planning or management decisions can most appropriately be made.A scoping study (Giles et al 2010) assessed the current situation and made some preliminary recommendations in order to create a more integrated and semantically harmonized future in environmental modelling. The only viable option is a 'linked models' approach which enables models to pass parameters between each other at runtime. This solution can bring together the best and most appropriate scientific models and allows the various scientific disciplines to continue the development of their current models. This linking approach is also relevant for integrating models that have been largely built and optimised individually, with appropriate configuration. The European Union has funded multi-national, multi-disciplinary research into 'linked modelling', using the Open Model Interchange (OpenMI) standard. This software used, in conjunction with critical underpinning activities such as data management, semantics and ontologies, understanding of uncertainty and vi...

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“…However, the development of research and user communities to take IEM forwards is also an important requirement, as highlighted by Sutherland et al (2014), who describe the development of the Fluid Earth network to facilitate the development of the Open MI protocol. Both Gober et al (2014) and Glynn (2015) further emphasized the importance of the community and human dimension in the development of IEM. Through enabling a better understanding of environmental processes and systems, IEM has the potential to assist communities in adapting to increasingly complex environmental stresses: although Glynn (2015) indicates that to be understandable and usable by a broader community, IEM will need to involve simplifications (e.g.…”

mentioning

confidence: 99%

“…Both Gober et al (2014) and Glynn (2015) further emphasized the importance of the community and human dimension in the development of IEM. Through enabling a better understanding of environmental processes and systems, IEM has the potential to assist communities in adapting to increasingly complex environmental stresses: although Glynn (2015) indicates that to be understandable and usable by a broader community, IEM will need to involve simplifications (e.g. of the processes involved) and may be subjected to inherent human biases.…”

mentioning

confidence: 99%

“…Human interaction with the modelling process is addressed by Glynn (2015). Gober et al (2014) emphasize the importance of the integration of human behaviour into environmental decision-making in drought-affected areas of the United States and Canada, and suggests that the value of large-scale climate models can be limited in uncertainties in downscaling these to specific local areas.…”

mentioning

confidence: 99%

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