Exploring the Implications of Climate Change on Water Resources through Participatory Modeling: Case Study of the Okanagan Basin, British Columbia

Langsdale, Stacy; Beall, Allyson; Carmichael, Jeff; Cohen, Stewart; Forster, Craig B.; Neale, Tina

doi:10.1061/(asce)0733-9496(2009)135:5(373)

Cited by 65 publications

(41 citation statements)

References 19 publications

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“…The full descriptions and supporting material are available in the complete document (Langsdale et al, 2011;available (Langsdale et al, 2009). This watershed was of particular interest because its semiarid climate, significant role of agriculture, and recent intense population growth made it more vulnerable to the impacts of climate change and at risk for water shortages.…”

Section: Principles Of Collaborative Modeling For Decision Supportmentioning

confidence: 99%

Collaborative Modeling for Decision Support in Water Resources: Principles and Best Practices

Langsdale

Beall

Bourget³

et al. 2013

J American Water Resour Assoc

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Collaborative Modeling for Decision Support integrates collaborative modeling with participatory processes to inform natural resources decisions. Practitioners and advocates claim that the approach will lead to better water management, balancing interests more effectively and reducing the likelihood of costly legal delays. These claims are easy to make, but the benefits will only be realized if the process is conducted effectively. To provide guidance for how to conduct an effective collaborative modeling process, a task committee cosponsored by the Environmental Water Resources Institute (EWRI) of the American Society of Civil Engineers and by the U.S. Army Corps of Engineers' Institute for Water Resources developed a set of Principles and Best Practices for anyone who might convene or conduct collaborative modeling processes. The guidance is intended for both conflict resolution professionals and modelers, and our goal is to integrate these two fields in a way that will improve water resources planning and decision making. Here, the set of eight principles is presented along with a selection of associated best practices, illustrated by two different case examples. The complete document is available at: http://www.computeraideddisputeresolution.us/bestpractices/.

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Section: Principles Of Collaborative Modeling For Decision Supportmentioning

confidence: 99%

Collaborative Modeling for Decision Support in Water Resources: Principles and Best Practices

Langsdale

Beall

Bourget³

et al. 2013

J American Water Resour Assoc

Self Cite

View full text Add to dashboard Cite

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“…For instance, Langsdale et al (2009) (Simon andEtienne 2010, p. 1373). This learning by knowledge integration (here using modeling) was thus mentioned as important.…”

Section: Interdisciplinaritymentioning

confidence: 99%

A functional-dynamic reflection on participatory processes in modeling projects

Seidl

2015

Ambio

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The participation of nonscientists in modeling projects/studies is increasingly employed to fulfill different functions. However, it is not well investigated if and how explicitly these functions and the dynamics of a participatory process are reflected by modeling projects in particular. In this review study, I explore participatory modeling projects from a functional-dynamic process perspective. The main differences among projects relate to the functions of participation-most often, more than one per project can be identified, along with the degree of explicit reflection (i.e., awareness and anticipation) on the dynamic process perspective. Moreover, two main approaches are revealed: participatory modeling covering diverse approaches and companion modeling. It becomes apparent that the degree of reflection on the participatory process itself is not always explicit and perfectly visible in the descriptions of the modeling projects. Thus, the use of common protocols or templates is discussed to facilitate project planning, as well as the publication of project results. A generic template may help, not in providing details of a project or model development, but in explicitly reflecting on the participatory process. It can serve to systematize the particular project's approach to stakeholder collaboration, and thus quality management.

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“…Videira et al used system dynamics to help elucidate policy concerns in a river basin in Portugal [20]. Langsdale et al modeled the effect of climate change on future water supplies in the Okanagan Basin, British Columbia [21][22][23]. The US Army Corp of Engineers (USACE) has used participatory processes and systems dynamics software for Shared Vision Planning.…”

Section: Participatory System Dynamics Modeling and Water Resourcesmentioning

confidence: 99%

Sustainable Water Resource Management and Participatory System Dynamics. Case Study: Developing the Palouse Basin Participatory Model

et al. 2011

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Abstract:The complexity of explaining highly scientific information and juggling a plethora of social values is leading agencies and communities such as those in the Palouse Basin to explore the use of participatory modeling processes using system dynamics. Participatory system dynamics as a methodology creates a transparent nexus of science, policy options, social concerns and local knowledge that enhances discussion of issues surrounding the use of natural resources. The process of developing a systems model uses the tenets of scientific theory, hypothesis testing and clear statements of assumptions. A unique aspect of the Palouse basin project is the use of system dynamics to describe ground water dynamics in a sole source confined aquifer system. There are, as of yet, no standards for analyzing participatory modeling projects, therefore, we use case study analysis to describe the process, insights and qualitative measurements of success.

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Exploring the Implications of Climate Change on Water Resources through Participatory Modeling: Case Study of the Okanagan Basin, British Columbia

Cited by 65 publications

References 19 publications

Collaborative Modeling for Decision Support in Water Resources: Principles and Best Practices

Collaborative Modeling for Decision Support in Water Resources: Principles and Best Practices

A functional-dynamic reflection on participatory processes in modeling projects

Sustainable Water Resource Management and Participatory System Dynamics. Case Study: Developing the Palouse Basin Participatory Model

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