IDEAS home Printed from https://ideas.repec.org/a/spr/jenvss/v9y2019i2d10.1007_s13412-019-00548-x.html
   My bibliography  Save this article

Using decision support tools in multistakeholder environmental planning: restorative justice and subbasin planning in the Columbia River Basin

Author

Listed:
  • Gregory Hill

    (University of Portland)

  • Steven Kolmes

    (University of Portland)

  • Michael Humphreys

    (Bethune-Cookman University)

  • Rebecca McLain

    (Institute for Culture and Ecology)

  • Eric T. Jones

    (Institute for Culture and Ecology)

Abstract

Decision support tools have been shown to encourage the development of shared mental models about ecosystem dynamics when they are used in collaborative processes that bring together technical experts and other stakeholders on a regular basis over an extended period. However, when a diverse set of stakeholders is involved in environmental planning, the likelihood is high that participants will come to the table with significantly different capacities for using technological tools, different epistemologies, and different standpoints. We use the Columbia River subbasin planning effort in the northwestern USA as a case example for gaining a clearer understanding of how the use of decision support systems (DSS) affects who participates and how they participate in multistakeholder environmental planning processes. We also utilize an ethical analysis to examine the implications of the subbasin planning process. We found that the ways in which decision support tools are used (i.e., as flexible or rigid frames) as well as the structure of the planning environment influenced the quality of the data entered into the models, the quality of model output interpretation, epistemological plurality, and restorative justice. We conclude, from the perspective of restorative justice, that more attention and effort needs to be paid to past, present, and future harms to different stakeholder groups in subbasin planning. We suggest ways forward using a place-based perspective and also identify a persistent problem in knitting together local solutions into a larger scale framework.

Suggested Citation

  • Gregory Hill & Steven Kolmes & Michael Humphreys & Rebecca McLain & Eric T. Jones, 2019. "Using decision support tools in multistakeholder environmental planning: restorative justice and subbasin planning in the Columbia River Basin," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 9(2), pages 170-186, June.
  • Handle: RePEc:spr:jenvss:v:9:y:2019:i:2:d:10.1007_s13412-019-00548-x
    DOI: 10.1007/s13412-019-00548-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13412-019-00548-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13412-019-00548-x?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. Pereira, Angela Guimaraes & Functowicz, Silvio., 2009. "Science for Policy: New Challenges, New Opportunities," OUP Catalogue, Oxford University Press, number 9780195698497, Decembrie.
    2. Peter Gluckman, 2014. "Policy: The art of science advice to government," Nature, Nature, vol. 507(7491), pages 163-165, March.
    3. Sadahisa Kato & Jack Ahern, 2008. "'Learning by doing': adaptive planning as a strategy to address uncertainty in planning," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 51(4), pages 543-559.
    4. Clare Ginger, 2014. "Integrating knowledge, interests and values through modelling in participatory processes: dimensions of legitimacy," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 57(5), pages 643-659, May.
    5. Frame, Bob & Brown, Judy, 2008. "Developing post-normal technologies for sustainability," Ecological Economics, Elsevier, vol. 65(2), pages 225-241, April.
    6. Jeroen P. Van Der Sluijs & Matthieu Craye & Silvio Funtowicz & Penny Kloprogge & Jerry Ravetz & James Risbey, 2005. "Combining Quantitative and Qualitative Measures of Uncertainty in Model‐Based Environmental Assessment: The NUSAP System," Risk Analysis, John Wiley & Sons, vol. 25(2), pages 481-492, April.
    7. Cariboni, J. & Gatelli, D. & Liska, R. & Saltelli, A., 2007. "The role of sensitivity analysis in ecological modelling," Ecological Modelling, Elsevier, vol. 203(1), pages 167-182.
    8. Angela Liberatore & Silvio Funtowicz, 2003. "‘Democratising’ expertise, ‘expertising’ democracy: What does this mean, and why bother?," Science and Public Policy, Oxford University Press, vol. 30(3), pages 146-150, June.
    9. Anna C. Jonsson & Lotta Andersson & Johanna Alkan Olsson & Madelaine Johansson, 2011. "Defining goals in participatory water management: merging local visions and expert judgements," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(7), pages 909-935, September.
    10. Sarah A Elwood, 2002. "GIS Use in Community Planning: A Multidimensional Analysis of Empowerment," Environment and Planning A, , vol. 34(5), pages 905-922, May.
    11. Röckmann, Christine & Ulrich, Clara & Dreyer, Marion & Bell, Ewen & Borodzicz, Edward & Haapasaari, Päivi & Hauge, Kjellrun Hiis & Howell, Daniel & Mäntyniemi, Samu & Miller, David & Tserpes, George &, 2012. "The added value of participatory modelling in fisheries management – what has been learnt?," Marine Policy, Elsevier, vol. 36(5), pages 1072-1085.
    12. Voinov, Alexey & Gaddis, Erica J. Brown, 2008. "Lessons for successful participatory watershed modeling: A perspective from modeling practitioners," Ecological Modelling, Elsevier, vol. 216(2), pages 197-207.
    13. Tibor F. Liska, 2007. "The Liska model," Society and Economy, Akadémiai Kiadó, Hungary, vol. 29(3), pages 363-381, December.
    14. Daniel Sarewitz, 2013. "Science must be seen to bridge the political divide," Nature, Nature, vol. 493(7430), pages 7-7, January.
    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. Lixin Liu & Jiawen Chen & Qingnan Cai & Yaofu Huang & Wei Lang, 2020. "System Building and Multistakeholder Involvement in Public Participatory Community Planning through Both Collaborative- and Micro-Regeneration," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    2. David W. Nadler, 2019. "Decision support: using machine learning through MATLAB to analyze environmental data," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 9(4), pages 419-428, December.

    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. Francisco A. Buendia-Hernandez & Maria J. Ortiz Bevia & Francisco J. Alvarez-Garcia & Antonio Ruizde Elvira, 2022. "Sensitivity of a Dynamic Model of Air Traffic Emissions to Technological and Environmental Factors," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    2. Lorscheid, Iris & Meyer, Matthias, 2016. "Divide and conquer: Configuring submodels for valid and efficient analyses of complex simulation models," Ecological Modelling, Elsevier, vol. 326(C), pages 152-161.
    3. Kanapaux, William & Kiker, Gregory A., 2013. "Development and testing of an object-oriented model for adaptively managing human disturbance of least tern (Sternula antillarum) nesting habitat," Ecological Modelling, Elsevier, vol. 268(C), pages 64-77.
    4. Chu-Agor, M.L. & Muñoz-Carpena, R. & Kiker, G.A. & Aiello-Lammens, M.E. & Akçakaya, H.R. & Convertino, M. & Linkov, I., 2012. "Simulating the fate of Florida Snowy Plovers with sea-level rise: Exploring research and management priorities with a global uncertainty and sensitivity analysis perspective," Ecological Modelling, Elsevier, vol. 224(1), pages 33-47.
    5. Petropoulos, G. & Wooster, M.J. & Carlson, T.N. & Kennedy, M.C. & Scholze, M., 2009. "A global Bayesian sensitivity analysis of the 1d SimSphere soil–vegetation–atmospheric transfer (SVAT) model using Gaussian model emulation," Ecological Modelling, Elsevier, vol. 220(19), pages 2427-2440.
    6. Wernsdörfer, H. & Rossi, V. & Cornu, G. & Oddou-Muratorio, S. & Gourlet-Fleury, S., 2008. "Impact of uncertainty in tree mortality on the predictions of a tropical forest dynamics model," Ecological Modelling, Elsevier, vol. 218(3), pages 290-306.
    7. Rougier, Thibaud & Drouineau, Hilaire & Dumoulin, Nicolas & Faure, Thierry & Deffuant, Guillaume & Rochard, Eric & Lambert, Patrick, 2014. "The GR3D model, a tool to explore the Global Repositioning Dynamics of Diadromous fish Distribution," Ecological Modelling, Elsevier, vol. 283(C), pages 31-44.
    8. Elena Bakhanova & Jaime A. Garcia & William L. Raffe & Alexey Voinov, 2023. "Gamification Framework for Participatory Modeling: A Proposal," Group Decision and Negotiation, Springer, vol. 32(5), pages 1167-1182, October.
    9. Pal, Saheb & Ghosh, Indrajit, 2023. "Dynamics of a coupled socio-environmental model: An application to global CO2 emissions," Ecological Modelling, Elsevier, vol. 478(C).
    10. Gilardelli, Carlo & Confalonieri, Roberto & Cappelli, Giovanni Alessandro & Bellocchi, Gianni, 2018. "Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change," Ecological Modelling, Elsevier, vol. 368(C), pages 1-14.
    11. Priyadarshi, Anupam & Chandra, Ram & Kishi, Michio J. & Smith, S.Lan & Yamazaki, Hidekatsu, 2022. "Understanding plankton ecosystem dynamics under realistic micro-scale variability requires modeling at least three trophic levels," Ecological Modelling, Elsevier, vol. 467(C).
    12. Cadero, A. & Aubry, A. & Brun, F. & Dourmad, J.Y. & Salaün, Y. & Garcia-Launay, F., 2018. "Global sensitivity analysis of a pig fattening unit model simulating technico-economic performance and environmental impacts," Agricultural Systems, Elsevier, vol. 165(C), pages 221-229.
    13. Ratnarajah, Lavenia & Melbourne-Thomas, Jessica & Marzloff, Martin P. & Lannuzel, Delphine & Meiners, Klaus M. & Chever, Fanny & Nicol, Stephen & Bowie, Andrew R., 2016. "A preliminary model of iron fertilisation by baleen whales and Antarctic krill in the Southern Ocean: Sensitivity of primary productivity estimates to parameter uncertainty," Ecological Modelling, Elsevier, vol. 320(C), pages 203-212.
    14. Yi, Xuan & Zou, Rui & Guo, Huaicheng, 2016. "Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake," Ecological Modelling, Elsevier, vol. 327(C), pages 74-84.
    15. Rouger, Baptiste & Goldringer, Isabelle & Barbillon, Pierre & Miramon, Anne & Naino Jika, Abdel Kader & Thomas, Mathieu, 2023. "Sensitivity analysis of a crop metapopulation model," Ecological Modelling, Elsevier, vol. 475(C).
    16. Bourhis, Yoann & Poggi, Sylvain & Mammeri, Youcef & Cortesero, Anne-Marie & Le Ralec, Anne & Parisey, Nicolas, 2015. "Perception-based foraging for competing resources: Assessing pest population dynamics at the landscape scale from heterogeneous resource distribution," Ecological Modelling, Elsevier, vol. 312(C), pages 211-221.
    17. Bar Massada, Avi & Carmel, Yohay, 2008. "Incorporating output variance in local sensitivity analysis for stochastic models," Ecological Modelling, Elsevier, vol. 213(3), pages 463-467.
    18. Giménez-Romero, Àlex & Grau, Amalia & Hendriks, Iris E. & Matias, Manuel A., 2021. "Modelling parasite-produced marine diseases: The case of the mass mortality event of Pinna nobilis," Ecological Modelling, Elsevier, vol. 459(C).
    19. Hanqing Ma & Chunfeng Ma & Xin Li & Wenping Yuan & Zhengjia Liu & Gaofeng Zhu, 2020. "Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    20. Zhang, Wang & Tian, Yong & Sun, Zan & Zheng, Chunmiao, 2021. "How does plastic film mulching affect crop water productivity in an arid river basin?," Agricultural Water Management, Elsevier, vol. 258(C).

    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:jenvss:v:9:y:2019:i:2:d:10.1007_s13412-019-00548-x. 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.