IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v10y2001i4d10.1023_a1011231801266.html
   My bibliography  Save this article

Stakeholder Values and Scientific Modeling in the Neuse River Watershed

Author

Listed:
  • Mark Borsuk

    (Duke University)

  • Robert Clemen

    (Duke University)

  • Lynn Maguire

    (Duke University)

  • Kenneth Reckhow

    (Duke University)

Abstract

In 1998, the North Carolina Legislature mandated a 30% reduction in the nitrogen loading in the Neuse River in an attempt to reduce undesirable environmental conditions in the lower river and estuary. Although sophisticated scientific models of the Neuse estuary exist, there is currently no study directly relating the nitrogen-reduction policy to the concerns of the estuarine system's stakeholders. Much of the difficulty lies in the fact that existing scientific models have biophysical outcome variables, such as dissolved oxygen, that are typically not directly meaningful to the public. In addition, stakeholders have concerns related to economics, modeling, implementation, and fairness that go beyond ecological outcomes. We describe a decision-analytic approach to modeling the Neuse River nutrient-management problem, focusing on linking scientific assessments to stakeholder objectives. The first step in the approach is elicitation and analysis of stakeholder concerns. The second step is construction of a probabilistic model that relates proposed management actions to attributes of interest to stakeholders. We discuss how the model can then be used by local decision makers as a tool for adaptive management of the Neuse River system. This discussion relates adaptive management to the notion of expected value of information and indicates a need for a comprehensive monitoring program to accompany implementation of the model. We conclude by acknowledging that a scientific model cannot appropriately address all the stakeholder concerns elicited, and we discuss how the remaining concerns may otherwise be considered in the policy process.

Suggested Citation

  • Mark Borsuk & Robert Clemen & Lynn Maguire & Kenneth Reckhow, 2001. "Stakeholder Values and Scientific Modeling in the Neuse River Watershed," Group Decision and Negotiation, Springer, vol. 10(4), pages 355-373, July.
  • Handle: RePEc:spr:grdene:v:10:y:2001:i:4:d:10.1023_a:1011231801266
    DOI: 10.1023/A:1011231801266
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1011231801266
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/A:1011231801266?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abramson, Bruce & Brown, John & Edwards, Ward & Murphy, Allan & Winkler, Robert L., 1996. "Hailfinder: A Bayesian system for forecasting severe weather," International Journal of Forecasting, Elsevier, vol. 12(1), pages 57-71, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Barton, D.N. & Saloranta, T. & Moe, S.J. & Eggestad, H.O. & Kuikka, S., 2008. "Bayesian belief networks as a meta-modelling tool in integrated river basin management -- Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin," Ecological Economics, Elsevier, vol. 66(1), pages 91-104, May.
    2. Joon Sik Kim & Peter W. J. Batey & Yanting Fan & Sheng Zhong, 2021. "Embracing integrated watershed revitalization in Suzhou, China: learning from global case studies," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 565-595, June.
    3. Olander, Lydia & Polasky, Stephen & Kagan, James S. & Johnston, Robert J. & Wainger, Lisa & Saah, David & Maguire, Lynn & Boyd, James & Yoskowitz, David, 2017. "So you want your research to be relevant? Building the bridge between ecosystem services research and practice," Ecosystem Services, Elsevier, vol. 26(PA), pages 170-182.
    4. Lynn A. Maguire, 2004. "What Can Decision Analysis Do for Invasive Species Management?," Risk Analysis, John Wiley & Sons, vol. 24(4), pages 859-868, August.
    5. Amanda P. Rehr & Mitchell J. Small & Paul S. Fischbeck & Patricia Bradley & William S. Fisher, 2014. "The role of scientific studies in building consensus in environmental decision making: a coral reef example," Environment Systems and Decisions, Springer, vol. 34(1), pages 60-87, March.
    6. Borunda, Mónica & Jaramillo, O.A. & Reyes, Alberto & Ibargüengoytia, Pablo H., 2016. "Bayesian networks in renewable energy systems: A bibliographical survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 32-45.
    7. Lennart Sjöberg, 2003. "Attitudes and Risk Perceptions of Stakeholders in a Nuclear Waste Siting Issue," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 739-749, August.
    8. Ali Azarnivand & Mohammad Ebrahim Banihabib, 2017. "A Multi-level Strategic Group Decision Making for Understanding and Analysis of Sustainable Watershed Planning in Response to Environmental Perplexities," Group Decision and Negotiation, Springer, vol. 26(3), pages 629-648, May.
    9. Robin Gregory & Nathan Dieckmann & Ellen Peters & Lee Failing & Graham Long & Martin Tusler, 2012. "Deliberative Disjunction: Expert and Public Understanding of Outcome Uncertainty," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2071-2083, December.
    10. Failing, L. & Gregory, R. & Harstone, M., 2007. "Integrating science and local knowledge in environmental risk management: A decision-focused approach," Ecological Economics, Elsevier, vol. 64(1), pages 47-60, October.
    11. Calder, Ryan S.D. & Shi, Congjie & Mason, Sara A. & Olander, Lydia P. & Borsuk, Mark E., 2019. "Forecasting ecosystem services to guide coastal wetland rehabilitation decisions," Ecosystem Services, Elsevier, vol. 39(C).
    12. Jennifer Orme‐Zavaleta & Jane Jorgensen & Bruce D'Ambrosio & Eric Altendorf & Philippe A. Rossignol, 2006. "Discovering Spatio‐Temporal Models of the Spread of West Nile Virus," Risk Analysis, John Wiley & Sons, vol. 26(2), pages 413-422, April.
    13. M. A. Burgman & B. A. Wintle & C. A. Thompson & A. Moilanen & M. C. Runge & Yakov Ben‐Haim, 2010. "Reconciling Uncertain Costs and Benefits in Bayes Nets for Invasive Species Management," Risk Analysis, John Wiley & Sons, vol. 30(2), pages 277-284, February.
    14. I. Linkov & F. K. Satterstrom & G. Kiker & T. P. Seager & T. Bridges & K. H. Gardner & S. H. Rogers & D. A. Belluck & A. Meyer, 2006. "Multicriteria Decision Analysis: A Comprehensive Decision Approach for Management of Contaminated Sediments," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 61-78, February.
    15. Lenio Prado & Marcelo Fonseca & José V. Bernardes & Mateus G. Santos & Edson C. Bortoni & Guilherme S. Bastos, 2023. "Forecast of Operational Downtime of the Generating Units for Sediment Cleaning in the Water Intakes: A Case of the Jirau Hydropower Plant," Energies, MDPI, vol. 16(17), pages 1-20, September.
    16. Colin Williams & Liping Fang, 2019. "A Value-Focused Multiple Participant-Multiple Criteria (MPMC) Decision Support Approach for Public Policy Formulation," Group Decision and Negotiation, Springer, vol. 28(1), pages 99-126, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Changzhang & Zhou, You & Zhao, Qiang & Geng, Zhi, 2014. "Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 252-266.
    2. Regnier, Eva, 2008. "Doing something about the weather," Omega, Elsevier, vol. 36(1), pages 22-32, February.
    3. Langseth, Helge & Portinale, Luigi, 2007. "Bayesian networks in reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 92-108.
    4. Xu, Ping-Feng & Guo, Jianhua & Tang, Man-Lai, 2011. "Structural learning for Bayesian networks by testing complete separators in prime blocks," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3135-3147, December.
    5. Robert T. Clemen & Canan Ulu, 2008. "Interior Additivity and Subjective Probability Assessment of Continuous Variables," Management Science, INFORMS, vol. 54(4), pages 835-851, April.
    6. Hao Zuo & Jinshen Jiang & Yun Zhou, 2024. "DAGOR: Learning DAGs via Topological Sorts and QR Factorization," Mathematics, MDPI, vol. 12(8), pages 1-16, April.
    7. Kazim Topuz & Hasmet Uner & Asil Oztekin & Mehmet Bayram Yildirim, 2018. "Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network," Annals of Operations Research, Springer, vol. 263(1), pages 479-499, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:10:y:2001:i:4:d:10.1023_a:1011231801266. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.