IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v73y2008i1p47-62.html
   My bibliography  Save this article

Simplifying a physiologically structured population model to a stage-structured biomass model

Author

Listed:
  • De Roos, André M.
  • Schellekens, Tim
  • Van Kooten, Tobias
  • Van De Wolfshaar, Karen
  • Claessen, David
  • Persson, Lennart

Abstract

We formulate and analyze an archetypal consumer–resource model in terms of ordinary differential equations that consistently translates individual life history processes, in particular food-dependent growth in body size and stage-specific differences between juveniles and adults in resource use and mortality, to the population level. This stage-structured model is derived as an approximation to a physiologically structured population model, which accounts for a complete size-distribution of the consumer population and which is based on assumptions about the energy budget and size-dependent life history of individual consumers. The approximation ensures that under equilibrium conditions predictions of both models are completely identical. In addition we find that under non-equilibrium conditions the stage-structured model gives rise to dynamics that closely approximate the dynamics exhibited by the size-structured model, as long as adult consumers are superior foragers than juveniles with a higher mass-specific ingestion rate. When the mass-specific intake rate of juvenile consumers is higher, the size-structured model exhibits single-generation cycles, in which a single cohort of consumers dominates population dynamics throughout its life time and the population composition varies over time between a dominance by juveniles and adults, respectively. The stage-structured model does not capture these dynamics because it incorporates a distributed time delay between the birth and maturation of an individual organism in contrast to the size-structured model, in which maturation is a discrete event in individual life history. We investigate model dynamics with both semi-chemostat and logistic resource growth.

Suggested Citation

  • De Roos, André M. & Schellekens, Tim & Van Kooten, Tobias & Van De Wolfshaar, Karen & Claessen, David & Persson, Lennart, 2008. "Simplifying a physiologically structured population model to a stage-structured biomass model," Theoretical Population Biology, Elsevier, vol. 73(1), pages 47-62.
  • Handle: RePEc:eee:thpobi:v:73:y:2008:i:1:p:47-62
    DOI: 10.1016/j.tpb.2007.09.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580907001049
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2007.09.004?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. Richard J. Williams & Neo D. Martinez, 2000. "Simple rules yield complex food webs," Nature, Nature, vol. 404(6774), pages 180-183, 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. Sun, Zepeng & de Roos, André M., 2015. "Alternative stable states in a stage-structured consumer–resource biomass model with niche shift and seasonal reproduction," Theoretical Population Biology, Elsevier, vol. 103(C), pages 60-70.
    2. Fujiwara, Masami, 2016. "Incorporating demographic diversity into food web models: Effects on community structure and dynamics," Ecological Modelling, Elsevier, vol. 322(C), pages 10-18.
    3. Guill, Christian, 2009. "Alternative dynamical states in stage-structured consumer populations," Theoretical Population Biology, Elsevier, vol. 76(3), pages 168-178.
    4. Hartvig, Martin & Andersen, Ken Haste, 2013. "Coexistence of structured populations with size-based prey selection," Theoretical Population Biology, Elsevier, vol. 89(C), pages 24-33.
    5. Verdy, Ariane, 2010. "Modulation of predator–prey interactions by the Allee effect," Ecological Modelling, Elsevier, vol. 221(8), pages 1098-1107.
    6. Kooijman, S.A.L.M., 2024. "Ways to reduce or avoid juvenile-driven cycles in individual-based population models," Ecological Modelling, Elsevier, vol. 490(C).

    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. He, He & Yang, Bo & Hu, Xiaoming, 2016. "Exploring community structure in networks by consensus dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 342-353.
    2. Fath, Brian D. & Halnes, Geir, 2007. "Cyclic energy pathways in ecological food webs," Ecological Modelling, Elsevier, vol. 208(1), pages 17-24.
    3. Jihui Han & Wei Li & Longfeng Zhao & Zhu Su & Yijiang Zou & Weibing Deng, 2017. "Community detection in dynamic networks via adaptive label propagation," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-16, November.
    4. Liu, Yan & Mei, Jingling & Li, Wenxue, 2018. "Stochastic stabilization problem of complex networks without strong connectedness," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 304-315.
    5. Nonaka, Etsuko & Kuparinen, Anna, 2023. "Limited effects of size-selective harvesting and harvesting-induced life-history changes on the temporal variability of biomass dynamics in complex food webs," Ecological Modelling, Elsevier, vol. 476(C).
    6. Sabine Dritz & Rebecca A. Nelson & Fernanda S. Valdovinos, 2023. "The role of intra-guild indirect interactions in assembling plant-pollinator networks," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Scotti, Marco & Bondavalli, Cristina & Bodini, Antonio, 2009. "Linking trophic positions and flow structure constraints in ecological networks: Energy transfer efficiency or topology effect?," Ecological Modelling, Elsevier, vol. 220(21), pages 3070-3080.
    8. Jalili, Mahdi, 2011. "Synchronizability of dynamical scale-free networks subject to random errors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4588-4595.
    9. Daniel M. Perkins & Ian A. Hatton & Benoit Gauzens & Andrew D. Barnes & David Ott & Benjamin Rosenbaum & Catarina Vinagre & Ulrich Brose, 2022. "Consistent predator-prey biomass scaling in complex food webs," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    10. Johnson, Jeffrey C. & Luczkovich, Joseph J. & Borgatti, Stephen P. & Snijders, Tom A.B., 2009. "Using social network analysis tools in ecology: Markov process transition models applied to the seasonal trophic network dynamics of the Chesapeake Bay," Ecological Modelling, Elsevier, vol. 220(22), pages 3133-3140.
    11. Jalili, Mahdi, 2011. "Error and attack tolerance of small-worldness in complex networks," Journal of Informetrics, Elsevier, vol. 5(3), pages 422-430.
    12. Checco, Paolo & Biey, Mario & Kocarev, Ljupco, 2008. "Synchronization in random networks with given expected degree sequences," Chaos, Solitons & Fractals, Elsevier, vol. 35(3), pages 562-577.
    13. Liu, Wei-Chung & Chen, Hsuan-Wien & Tsai, Tsung-Hsi & Hwang, Hsien-Kuei, 2012. "A fish tank model for assembling food webs," Ecological Modelling, Elsevier, vol. 245(C), pages 166-175.
    14. Canelas, Joana Viana & Pereira, Henrique Miguel, 2022. "Impacts of land-use intensity on ecosystems stability," Ecological Modelling, Elsevier, vol. 472(C).
    15. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    16. Cao, Guangxi & Zhang, Qi & Li, Qingchen, 2017. "Causal relationship between the global foreign exchange market based on complex networks and entropy theory," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 36-44.
    17. Giacomini, Henrique Corrêa & De Marco, Paulo & Petrere, Miguel, 2009. "Exploring community assembly through an individual-based model for trophic interactions," Ecological Modelling, Elsevier, vol. 220(1), pages 23-39.
    18. David William Shanafelt & Michel Loreau, 2018. "Stability trophic cascades in food chains," Post-Print hal-02097236, HAL.
    19. Lyudmila N. Zhichkina & Vladimir V. Nosov & Kirill A. Zhichkin, 2023. "Seasonal Population Dynamics and Harmfulness of Wheat Thrips in Agrocenoses of Grain Crops," Agriculture, MDPI, vol. 13(1), pages 1-13, January.
    20. Borrett, Stuart R. & Moody, James & Edelmann, Achim, 2014. "The rise of Network Ecology: Maps of the topic diversity and scientific collaboration," Ecological Modelling, Elsevier, vol. 293(C), pages 111-127.

    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:thpobi:v:73:y:2008:i:1:p:47-62. 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: https://www.journals.elsevier.com/intelligence .

    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.