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“Reading the Minds” for Quantitative Sustainability: Assessing Stakeholder Mental Models via Probabilistic Text Analysis

  • Matteo ConvertinoEmail author
  • Rafael Munoz-Carpena
  • Carolina Murcia
Chapter
Part of the Public Administration and Information Technology book series (PAIT, volume 20)

Abstract

Management of complex ecosystems is a difficult process that involves multiple factors and stakeholders. In most cases, the interactions of these factors and stakeholders’ trade-offs are not considered quantitatively in the design and management of ecosystems. To address these issues mental modeling is useful for eliciting stakeholder objectives and preferences in order to evaluate preliminary knowledge about structure and function of complex ecosystems. This is advantageous for ecosystem analysis, modeling, and management.

Here, we provide an assessment of stakeholder preferences and mental models for the case study of a large-scale watershed in Costa Rica composed by two rivers basins and one wetland. Trade-offs are related to water management in relation to ecological, agricultural, energy, and tourism endpoints that are affected by potential sets of dam and canal configurations. We apply and further develop a network-based model for stakeholder text analysis. Our innovation is the introduction of Network Complexity (NC) as a metric to characterize the inferred influenced diagram and to monitor the variation of such diagram under perturbations in socio-ecological factors provided by stakeholders and related to ecosystems. Perturbation effects—innovatively determined and assessed by global sensitivity and uncertainty analyses may reveal fundamental factor importance and interactions of ecosystem factors and ecosystem resilience. The derived influence diagram can be considered as the mental model of stakeholders because its construction is based on the direct elicitation of stakeholder preferences and objective in ad hoc workshops organized for this study.

The decision analysis-based mental modeling approach allows a transparent and participatory decision-making concerning ecosystem management. The approach facilitates the identification and balance of trade-offs among stakeholder groups. Thus, it is coherent with the sustainability paradigm that includes social factors into the analysis, design, and management of complex systems.

Keywords

Network Complexity Noun Phrase Elementary Effect Ecosystem Management Semantic Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

Funding from the NSF U.S.-Costa Rican Workshop: “Interdisciplinary workgroup on water sustainability in the Tempisque Basin, Palo Verde NP, Costa Rica” (April 2012) are gratefully acknowledged.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Matteo Convertino
    • 1
    • 2
    • 3
    Email author
  • Rafael Munoz-Carpena
    • 4
  • Carolina Murcia
    • 5
  1. 1.Division of Environmental Health SciencesSchool of Public Health, University of Minnesota Twin-CitiesMinneapolisUSA
  2. 2.Institute for Engineering in Medicine and Public Health Informatics ProgramsUniversity of Minnesota Twin-CitiesMinneapolisUSA
  3. 3.Institute on the EnvironmentUniversity of Minnesota Twin-CitiesMinneapolisUSA
  4. 4.Department of Agricultural and Biological EngineeringUniversity of FloridaGainesvilleUSA
  5. 5.Organization for Tropical Studies at Duke UniversityDurhamUSA

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