Collaborative, Stakeholder-Driven Resource Modeling and Management

Collaborative, Stakeholder-Driven Resource Modeling and Management

Howard Passell, Marissa Reno, Jesse Roach, Vince Tidwell, Wael Khairy
ISBN13: 9781615209071|ISBN10: 1615209077|EISBN13: 9781615209088
DOI: 10.4018/978-1-61520-907-1.ch003
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MLA

Passell, Howard, et al. "Collaborative, Stakeholder-Driven Resource Modeling and Management." Handbook of Research on Hydroinformatics: Technologies, Theories and Applications, edited by Tagelsir Mohamed Gasmelseid, IGI Global, 2011, pp. 36-53. https://doi.org/10.4018/978-1-61520-907-1.ch003

APA

Passell, H., Reno, M., Roach, J., Tidwell, V., & Khairy, W. (2011). Collaborative, Stakeholder-Driven Resource Modeling and Management. In T. Gasmelseid (Ed.), Handbook of Research on Hydroinformatics: Technologies, Theories and Applications (pp. 36-53). IGI Global. https://doi.org/10.4018/978-1-61520-907-1.ch003

Chicago

Passell, Howard, et al. "Collaborative, Stakeholder-Driven Resource Modeling and Management." In Handbook of Research on Hydroinformatics: Technologies, Theories and Applications, edited by Tagelsir Mohamed Gasmelseid, 36-53. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61520-907-1.ch003

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Abstract

It is becoming increasingly difficult to manage natural resources due to population growth, increasing resource consumption, and decreasing resource availability, among other issues. To address this, we present a collaborative, stakeholder-driven resource modeling and management approach that has been applied successfully around the world. Diverse stakeholder groups assure that all important systems, data, and knowledge are represented. User-friendly, system dynamics models with short run times allow users to quickly simulate alternative resource management strategies, making the models valuable for public meetings and for informing and educating stakeholders, policy makers, and citizens. This approach also facilitates capacity building in regions where collaborative processes and modeling technologies are not widespread. Case studies illustrate the application of these approaches in the United States, Jordan, and Libya, as well as the Aral Sea Basin and Tigris-Euphrates Basin. We show how the models look and work, and the kinds of results that can be produced.

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