IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v311y2015icp20-30.html
   My bibliography  Save this article

An effective algorithm for approximating adaptive behavior in seasonal environments

Author

Listed:
  • Sainmont, Julie
  • Andersen, Ken H.
  • Thygesen, Uffe H.
  • Fiksen, Øyvind
  • Visser, André W.

Abstract

Behavior affects most aspects of ecological processes and rates, and yet modeling frameworks which efficiently predict and incorporate behavioral responses into ecosystem models remain elusive. Behavioral algorithms based on life-time optimization, adaptive dynamics or game theory are unsuited for large global models because of their high computational demand. We compare an easily integrated, computationally efficient behavioral algorithm known as Gilliam's rule against the solution from a life-history optimization. The approximation takes into account only the current conditions to optimize behavior; the so-called “myopic approximation”, “short sighted”, or “static optimization”. We explore the performance of the myopic approximation with diel vertical migration (DVM) as an example of a daily routine, a behavior with seasonal dependence that trades off predation risk with foraging opportunities in aquatic environments. The myopic approximation proves to be a robust replacement for the life-history optimization, deviating only up to 25% in regions of strong seasonality. The myopic approximation has additional advantages in that it can readily accommodate density dependence and inter-annual variations, aspects that can only be accessed in dynamic programming approaches with escalating computational costs. Furthermore, the explanatory power of the myopic approximation is notably higher than when behavior is not implemented, highlighting the importance for adaptive DVM behavior in ecological models where techniques such as dynamic programming are simply too computational demanding to be implemented.

Suggested Citation

  • Sainmont, Julie & Andersen, Ken H. & Thygesen, Uffe H. & Fiksen, Øyvind & Visser, André W., 2015. "An effective algorithm for approximating adaptive behavior in seasonal environments," Ecological Modelling, Elsevier, vol. 311(C), pages 20-30.
  • Handle: RePEc:eee:ecomod:v:311:y:2015:i:c:p:20-30
    DOI: 10.1016/j.ecolmodel.2015.04.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015001672
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.04.016?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. Castellani, Marco & Rosland, Rune & Urtizberea, Agurtzane & Fiksen, Øyvind, 2013. "A mass-balanced pelagic ecosystem model with size-structured behaviourally adaptive zooplankton and fish," Ecological Modelling, Elsevier, vol. 251(C), pages 54-63.
    2. Costello, Christopher & Polasky, Stephen, 2004. "Dynamic reserve site selection," Resource and Energy Economics, Elsevier, vol. 26(2), pages 157-174, June.
    3. T. Kristiansen & C. Jørgensen & R. G. Lough & F. Vikebø & &O. Fiksen, 2009. "Modeling rule-based behavior: habitat selection and the growth-survival trade-off in larval cod," Behavioral Ecology, International Society for Behavioral Ecology, vol. 20(3), pages 490-500.
    4. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    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. Bandara, Kanchana & Varpe, Øystein & Ji, Rubao & Eiane, Ketil, 2018. "A high-resolution modeling study on diel and seasonal vertical migrations of high-latitude copepods," Ecological Modelling, Elsevier, vol. 368(C), pages 357-376.

    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. Lennox, Gareth D. & Armsworth, Paul R., 2011. "Suitability of short or long conservation contracts under ecological and socio-economic uncertainty," Ecological Modelling, Elsevier, vol. 222(15), pages 2856-2866.
    2. Pierre Bernhard & Marc Deschamps, 2017. "Kalman on dynamics and contro, Linear System Theory, Optimal Control, and Filter," Working Papers 2017-10, CRESE.
    3. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    4. Voelkel, Michael A. & Sachs, Anna-Lena & Thonemann, Ulrich W., 2020. "An aggregation-based approximate dynamic programming approach for the periodic review model with random yield," European Journal of Operational Research, Elsevier, vol. 281(2), pages 286-298.
    5. Pam Norton & Ravi Phatarfod, 2008. "Optimal Strategies In One-Day Cricket," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 25(04), pages 495-511.
    6. Aghayi, Nazila & Maleki, Bentolhoda, 2016. "Efficiency measurement of DMUs with undesirable outputs under uncertainty based on the directional distance function: Application on bank industry," Energy, Elsevier, vol. 112(C), pages 376-387.
    7. Tan, Madeleine Sui-Lay, 2016. "Policy coordination among the ASEAN-5: A global VAR analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 20-40.
    8. D. W. K. Yeung, 2008. "Dynamically Consistent Solution For A Pollution Management Game In Collaborative Abatement With Uncertain Future Payoffs," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 517-538.
    9. Gren, Ing-Marie & Carlsson, Mattias, 2011. "Estimation of cost functions for preserving biodiversity in Swedish forests," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114596, European Association of Agricultural Economists.
    10. Costello, Christopher & Molina, Renato, 2021. "Transboundary marine protected areas," Resource and Energy Economics, Elsevier, vol. 65(C).
    11. Sims, Katharine R.E., 2010. "Conservation and development: Evidence from Thai protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 60(2), pages 94-114, September.
    12. Wang, Haoluan, 2017. "Land Conservation for Open Space: The Impact of Neighbors and the Natural Environment," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258125, Agricultural and Applied Economics Association.
    13. Crutchfield, Stephen R. & Brazee, Richard J., 1990. "An Integrated Model of Surface and Ground Water Quality," 1990 Annual meeting, August 5-8, Vancouver, Canada 271011, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Ando, Amy Whritenour & Mallory, Mindy L., 2012. "The Perils of Shortcuts in Efficient Conservation Portfolio Design," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125073, Agricultural and Applied Economics Association.
    15. Hanafi, Said & Freville, Arnaud, 1998. "An efficient tabu search approach for the 0-1 multidimensional knapsack problem," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 659-675, April.
    16. Schön, Cornelia & König, Eva, 2018. "A stochastic dynamic programming approach for delay management of a single train line," European Journal of Operational Research, Elsevier, vol. 271(2), pages 501-518.
    17. Eric D. Gould, 2008. "Marriage and Career: The Dynamic Decisions of Young Men," Journal of Human Capital, University of Chicago Press, vol. 2(4), pages 337-378.
    18. Lange, Rutger-Jan, 2024. "Bellman filtering and smoothing for state–space models," Journal of Econometrics, Elsevier, vol. 238(2).
    19. Renato Cordeiro Amorim, 2016. "A Survey on Feature Weighting Based K-Means Algorithms," Journal of Classification, Springer;The Classification Society, vol. 33(2), pages 210-242, July.
    20. Eppink, Florian V. & van den Bergh, Jeroen C.J.M., 2007. "Ecological theories and indicators in economic models of biodiversity loss and conservation: A critical review," Ecological Economics, Elsevier, vol. 61(2-3), pages 284-293, March.

    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:311:y:2015:i:c:p:20-30. 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.