IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v316y2015icp81-86.html
   My bibliography  Save this article

Linking body size and energetics with predation strategies: A game theoretic modeling framework

Author

Listed:
  • Chen, Shi
  • Bao, Forrest Sheng

Abstract

Predation is the ultimate survival game between the predator and prey. In this study, we use game theory as a modeling framework to demonstrate why and how different strategies in predation for both predator and prey are chosen based on body size and energetics. Two distinct and mutually exclusive strategies, active and passive, are considered for both players; hence the corresponding predation can be formulated as a 2×2 game. The payoffs are defined using energetics (energy gain and loss), with functional response to predator/prey body size. The game is formulated as a realistic general sum model and the numerical results of Nash equilibrium for different body sized predators and preys are calculated: in general, smaller sized predators and preys tend to use active strategy more often (mixed strategy equilibrium), and larger sized tend to choose active strategy exclusively (pure strategy equilibrium). The long-term evolutionary stability of the predator–prey system is also investigated, and the Nash equilibrium derived from these games are shown evolutionarily unstable. In summary, this study provides a unified modeling framework to study how animal body size and energetics determine predation strategies, and can easily extend to more complicated conditions, such as across multiple trophic levels.

Suggested Citation

  • Chen, Shi & Bao, Forrest Sheng, 2015. "Linking body size and energetics with predation strategies: A game theoretic modeling framework," Ecological Modelling, Elsevier, vol. 316(C), pages 81-86.
  • Handle: RePEc:eee:ecomod:v:316:y:2015:i:c:p:81-86
    DOI: 10.1016/j.ecolmodel.2015.07.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015003555
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.07.033?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. Chen, Shi, 2010. "A dynamic programming implemented resource competition game theoretic model," Ecological Modelling, Elsevier, vol. 221(16), pages 1847-1851.
    2. Timothy C Reluga, 2010. "Game Theory of Social Distancing in Response to an Epidemic," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-9, May.
    3. Tom Kolokotrones & Van Savage & Eric J. Deeds & Walter Fontana, 2010. "Curvature in metabolic scaling," Nature, Nature, vol. 464(7289), pages 753-756, April.
    4. Geoffrey B. West & James H. Brown & Brian J. Enquist, 1997. "A General Model for the Origin of Allometric Scaling Laws in Biology," Working Papers 97-03-019, Santa Fe Institute.
    5. Simon DeDeo & David C Krakauer & Jessica C Flack, 2010. "Inductive Game Theory and the Dynamics of Animal Conflict," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-16, May.
    6. Skonhoft, Anders, 2006. "The costs and benefits of animal predation: An analysis of Scandinavian wolf re-colonization," Ecological Economics, Elsevier, vol. 58(4), pages 830-841, July.
    Full references (including those not matched with items on IDEAS)

    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. Xu, Meng & Jiang, Mengke & Wang, Hua-Feng, 2021. "Integrating metabolic scaling variation into the maximum entropy theory of ecology explains Taylor's law for individual metabolic rate in tropical forests," Ecological Modelling, Elsevier, vol. 455(C).
    2. Michail Fragkias & José Lobo & Deborah Strumsky & Karen C Seto, 2013. "Does Size Matter? Scaling of CO2 Emissions and U.S. Urban Areas," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-8, June.
    3. Mitchell G Newberry & Daniel B Ennis & Van M Savage, 2015. "Testing Foundations of Biological Scaling Theory Using Automated Measurements of Vascular Networks," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-18, August.
    4. Milotti, Edoardo & Vyshemirsky, Vladislav & Stella, Sabrina & Dogo, Federico & Chignola, Roberto, 2017. "Analysis of the fluctuations of the tumour/host interface," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 587-594.
    5. Witting, Lars, 2017. "The natural selection of metabolism and mass selects allometric transitions from prokaryotes to mammals," Theoretical Population Biology, Elsevier, vol. 117(C), pages 23-42.
    6. Elif Tekin & David Hunt & Mitchell G Newberry & Van M Savage, 2016. "Do Vascular Networks Branch Optimally or Randomly across Spatial Scales?," PLOS Computational Biology, Public Library of Science, vol. 12(11), pages 1-28, November.
    7. Hsiehchen, David & Espinoza, Magdalena & Hsieh, Antony, 2016. "Hypoallometric scaling in international collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 188-193.
    8. Elliott, Robert J.R. & Sun, Puyang & Xu, Qiqin, 2015. "Energy distribution and economic growth: An empirical test for China," Energy Economics, Elsevier, vol. 48(C), pages 24-31.
    9. Elizabeth A Hobson & Simon DeDeo, 2015. "Social Feedback and the Emergence of Rank in Animal Society," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-20, September.
    10. Chen, Yanguang, 2014. "An allometric scaling relation based on logistic growth of cities," Chaos, Solitons & Fractals, Elsevier, vol. 65(C), pages 65-77.
    11. Ceddia, M.G. & Bardsley, N.O. & Goodwin, R. & Holloway, G.J. & Nocella, G. & Stasi, A., 2013. "A complex system perspective on the emergence and spread of infectious diseases: Integrating economic and ecological aspects," Ecological Economics, Elsevier, vol. 90(C), pages 124-131.
    12. Giannetti, Biagio F. & Marcilio, Maria De Fatima D.F.B. & Coscieme, Luca & Agostinho, Feni & Liu, Gengyuan & Almeida, Cecilia M.V.B., 2019. "Howard Odum’s “Self-organization, transformity and information”: Three decades of empirical evidence," Ecological Modelling, Elsevier, vol. 407(C), pages 1-1.
    13. Wang, Cheng-Jun & Wu, Lingfei, 2016. "The scaling of attention networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 196-204.
    14. Yunhan Huang & Quanyan Zhu, 2022. "Game-Theoretic Frameworks for Epidemic Spreading and Human Decision-Making: A Review," Dynamic Games and Applications, Springer, vol. 12(1), pages 7-48, March.
    15. He, Ji-Huan & Liu, Jun-Fang, 2009. "Allometric scaling laws in biology and physics," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1836-1838.
    16. Simon DeDeo, 2016. "Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions," Future Internet, MDPI, vol. 8(3), pages 1-23, July.
    17. Christos Makriyannis, 2023. "How the Biophysical Paradigm Impedes the Scientific Advancement of Ecological Economics: A Transdisciplinary Analysis," Sustainability, MDPI, vol. 15(23), pages 1-24, November.
    18. Hennessy, David A., 2006. "Feeding and the Equilibrium Feeder Animal Price-Weight Schedule," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-23, August.
    19. Carl-Johan Dalgaard & Holger Strulik, 2015. "The physiological foundations of the wealth of nations," Journal of Economic Growth, Springer, vol. 20(1), pages 37-73, March.
    20. J. Sylvan Katz & Guillermo Armando Ronda-Pupo, 2019. "Cooperation, scale-invariance and complex innovation systems: a generalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1045-1065, November.

    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:316:y:2015:i:c:p:81-86. 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.