Mediated modeling : a system dynamics approach to environmental consensus building /

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Annotation A practical guide to participatory modelling for environmental professionals, group-modeling practitioners and students, one that is firmly grounded in the field of systems dynamics and environmental modelling.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Van den Belt, Marjan
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Washington, DC : Island Press, ©2004.
Temas:
Environmental sciences > Simulation methods.
Environmental management > Decision making.
Environmental management.
Sciences de l'environnement > Méthodes de simulation.
Environnement > Gestion.
environmental control.
SCIENCE > Environmental Science (see also Chemistry > Environmental)
POLITICAL SCIENCE > Public Policy > Environmental Policy.
Environmental management > Decision making
Environmental sciences > Simulation methods
Groepsbesluitvorming.
Milieubeleid.
Simulatiemodellen.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Machine generated contents note: Ch. 1 Introduction
  • Ch. 2 role of mediated modeling
  • Ch. 3 mediated modeling process
  • Ch. 4 Conducting a mediated modeling process
  • Ch. 5 Decision support for watershed management in the Upper Fox River Basin, Wisconsin, U.S.A.
  • Ch. 6 Using mediated modeling to facilitate collaborative learning among residents of the San Antonio Watershed, Texas, U.S.A.
  • Ch. 7 Future planning : Banff National Park
  • Ch. 8 Sage grouse populations in southeastern Idaho, U.S.A. : effect of sheep grazing and fire
  • Ch. 9 Decision support in coastal zone management in the Ria Formosa, Portugal
  • Ch. 10 Lessons learned
  • App. 1 Comparison of the case studies
  • App. 2 Contact information; system dynamics modeling software
  • App. 3 Ranked participant statements from the Upper Fox "after" questionnaire
  • App. 4 Full answers to the Upper Fox "after" survey
  • App. 5 Participant rating of the Upper Fox model perameters
  • App. 6 Ria Formosa model : structure and equations
  • App. 7 Particpant rating of Ria Formosa model parameters
  • App. 8 Assumptions for Banff-Bow Valley study futures model indicators
  • App. 9 Symbol definition and mathematical algorithms for all model components in the Banff-Bow Valley study futures model
  • App. 10 example to illustrate the software.

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