IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v343y2017icp54-67.html
   My bibliography  Save this article

A guide to multi-objective optimization for ecological problems with an application to cackling goose management

Author

Listed:
  • Williams, Perry J.
  • Kendall, William L.

Abstract

Choices in ecological research and management are the result of balancing multiple, often competing, objectives. Multi-objective optimization (MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.

Suggested Citation

  • Williams, Perry J. & Kendall, William L., 2017. "A guide to multi-objective optimization for ecological problems with an application to cackling goose management," Ecological Modelling, Elsevier, vol. 343(C), pages 54-67.
    • Handle: RePEc:eee:ecomod:v:343:y:2017:i:c:p:54-67
    DOI: 10.1016/j.ecolmodel.2016.10.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016305610
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2016.10.010?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. Williams, Byron K., 2012. "Reducing uncertainty about objective functions in adaptive management," Ecological Modelling, Elsevier, vol. 225(C), pages 61-65.
    2. Mouysset, L. & Doyen, L. & Jiguet, F. & Allaire, G. & Leger, F., 2011. "Bio economic modeling for a sustainable management of biodiversity in agricultural lands," Ecological Economics, Elsevier, vol. 70(4), pages 617-626, February.
    3. Joubert, Alison R. & Leiman, Anthony & de Klerk, Helen M. & Katua, Stephen & Aggenbach, J. Coenrad, 1997. "Fynbos (fine bush) vegetation and the supply of water: a comparison of multi-criteria decision analysis and cost-benefit analysis," Ecological Economics, Elsevier, vol. 22(2), pages 123-140, August.
    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. Brias, Antoine & Munch, Stephan B., 2021. "Ecosystem based multi-species management using Empirical Dynamic Programming," Ecological Modelling, Elsevier, vol. 441(C).
    2. Korryn Bodner & Chris Brimacombe & Emily S Chenery & Ariel Greiner & Anne M McLeod & Stephanie R Penk & Juan S Vargas Soto, 2021. "Ten simple rules for tackling your first mathematical models: A guide for graduate students by graduate students," PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-12, January.
    3. Karner, Katrin & Schmid, Erwin & Schneider, Uwe A. & Mitter, Hermine, 2021. "Computing stochastic Pareto frontiers between economic and environmental goals for a semi-arid agricultural production region in Austria," Ecological Economics, Elsevier, vol. 185(C).
    4. Williams, Perry J. & Kendall, William L. & Hooten, Mevin B., 2019. "Selecting ecological models using multi-objective optimization," Ecological Modelling, Elsevier, vol. 404(C), pages 21-26.

    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. Hajkowicz, Stefan & Higgins, Andrew, 2008. "A comparison of multiple criteria analysis techniques for water resource management," European Journal of Operational Research, Elsevier, vol. 184(1), pages 255-265, January.
    2. Prato, Tony, 1999. "Multiple attribute decision analysis for ecosystem management," Ecological Economics, Elsevier, vol. 30(2), pages 207-222, August.
    3. Bernd Klauer & Martin Drechsler & Frank Messner, 2006. "Multicriteria Analysis under Uncertainty with IANUS—Method and Empirical Results," Environment and Planning C, , vol. 24(2), pages 235-256, April.
    4. Elia Moretti & Michael Benzaquen, 2024. "Mitigating Farmland Biodiversity Loss: A Bio-Economic Model of Land Consolidation and Pesticide Use," Papers 2407.19749, arXiv.org, revised Jan 2025.
    5. 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.
    6. Luz Maria Castro & Fabian Härtl & Santiago Ochoa & Baltazar Calvas & Leonardo Izquierdo & Thomas Knoke, 2018. "Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations," Journal of Bioeconomics, Springer, vol. 20(2), pages 183-211, July.
    7. Bamière, Laure & David, Maia & Vermont, Bruno, 2013. "Agri-environmental policies for biodiversity when the spatial pattern of the reserve matters," Ecological Economics, Elsevier, vol. 85(C), pages 97-104.
    8. Isabelle Nicolaï & Rémy Le Boennec, 2018. "Smart mobility providing smart cities," Post-Print halshs-01794612, HAL.
    9. Samuel Evans & Matthew Potts, 2015. "Effect of Agricultural Commodity Prices on Species Abundance of US Grassland Birds," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 549-565, November.
    10. Stefan Hajkowicz & Kerry Collins, 2007. "A Review of Multiple Criteria Analysis for Water Resource Planning and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1553-1566, September.
    11. Uta Schirpke & Lukas Egarter Vigl & Erich Tasser & Ulrike Tappeiner, 2019. "Analyzing Spatial Congruencies and Mismatches between Supply, Demand and Flow of Ecosystem Services and Sustainable Development," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    12. L. Doyen & A. Cissé & S. Gourguet & L. Mouysset & P.-Y. Hardy & C. Béné & F. Blanchard & F. Jiguet & J.-C. Pereau & O. Thébaud, 2013. "Ecological-economic modelling for the sustainable management of biodiversity," Computational Management Science, Springer, vol. 10(4), pages 353-364, December.
    13. Yanis Elalamy & Luc Doyen & Lauriane Mouysset, 2019. "Contribution of the land use allocation model for agroecosystems: The case of Torrecchia Vecchia," Post-Print hal-03143304, HAL.
    14. Ashley B. C. Goode & Erin Rivenbark & Jessica A. Gilbert & Conor P. McGowan, 2023. "Prioritization of Species Status Assessments for Decision Support," Decision Analysis, INFORMS, vol. 20(4), pages 311-325, December.
    15. George Panagopoulos & George Bathrellos & Hariklia Skilodimou & Faini Martsouka, 2012. "Mapping Urban Water Demands Using Multi-Criteria Analysis and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1347-1363, March.
    16. Saez, Carmen Almansa & Requena, Javier Calatrava, 2007. "Reconciling sustainability and discounting in Cost-Benefit Analysis: A methodological proposal," Ecological Economics, Elsevier, vol. 60(4), pages 712-725, February.
    17. Mouysset, L. & Rais Assa, C. & Ay, J-S. & Jiguet, F. & Lorrilière, R. & Doyen, L., 2019. "Bioeconomic impacts of agroforestry policies in France," Land Use Policy, Elsevier, vol. 85(C), pages 239-248.
    18. Drechsler, Martin, 2017. "Performance of Input- and Output-based Payments for the Conservation of Mobile Species," Ecological Economics, Elsevier, vol. 134(C), pages 49-56.
    19. David Oglethorpe, 2010. "Optimising Economic, Environmental, and Social Objectives: A Goal-Programming Approach in the Food Sector," Environment and Planning A, , vol. 42(5), pages 1239-1254, May.
    20. Le Boennec, Rémy & Nicolaï, Isabelle & Da Costa, Pascal, 2019. "Assessing 50 innovative mobility offers in low-density areas: A French application using a two-step decision-aid method," Transport Policy, Elsevier, vol. 83(C), pages 13-25.

    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:eee:ecomod:v:343:y:2017:i:c:p:54-67. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.