IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v491y2024ics0304380024000917.html
   My bibliography  Save this article

A new mechanistic model for individual growth suggests upregulated maintenance costs when food is scarce in an insect

Author

Listed:
  • Mauritsson, Karl
  • Jonsson, Tomas

Abstract

A growing animal ingests food from the environment and distributes the assimilated energy between chemical energy stored in synthesized biomass and energy spent on metabolic processes, including food processing, maintenance, activity and overhead costs for growth. Under food restriction, the growth rate is usually decreased. However, the extent of this reduction may be influenced by a potential trade-off with maintenance metabolism. The latter seems to be down-regulated under food restriction in some animals and up-regulated in others. Recently, the Maintenance-Growth Model (MGM) was developed for ontogenetic and post-mature growth, including several aspects not considered by common mechanistic growth models, most importantly the division of maintenance costs into non-negotiable and negotiable parts, where the latter can be up- or downregulated under food restriction. Using empirical data, MGM has been calibrated and successfully applied to an insect growing under ad libitum conditions. Here, the model is further calibrated to newly collected individual data for the same species growing under two different regimes of food restriction, complemented with previously collected data for food-limited cohorts. We find that two alternative model scenarios of MGM are able to generate rather good predictions of observed growth under food restriction, assuming either upregulated maintenance or decreased effective assimilation (assimilation minus energy spent on processing and searching food). We find the latter scenario least plausible, implying that the current study provides the first indication for the occurrence of upregulated maintenance in an insect species when food is scarce, an unexpected result that requires further investigation. The inclusion of maintenance regulation in MGM enables the new growth model to be used in the modelling of life-history dependent trade-offs between maintenance, growth and maturation for various other species.

Suggested Citation

  • Mauritsson, Karl & Jonsson, Tomas, 2024. "A new mechanistic model for individual growth suggests upregulated maintenance costs when food is scarce in an insect," Ecological Modelling, Elsevier, vol. 491(C).
  • Handle: RePEc:eee:ecomod:v:491:y:2024:i:c:s0304380024000917
    DOI: 10.1016/j.ecolmodel.2024.110703
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024000917
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110703?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. Geoffrey B. West & James H. Brown & Brian J. Enquist, 2001. "A general model for ontogenetic growth," Nature, Nature, vol. 413(6856), pages 628-631, October.
    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. Barberis, L. & Condat, C.A., 2012. "Describing interactive growth using vector universalities," Ecological Modelling, Elsevier, vol. 227(C), pages 56-63.
    2. Sigourney, Douglas B. & Munch, Stephan B. & Letcher, Benjamin H., 2012. "Combining a Bayesian nonparametric method with a hierarchical framework to estimate individual and temporal variation in growth," Ecological Modelling, Elsevier, vol. 247(C), pages 125-134.
    3. Carl-Johan Dalgaard & Holger Strulik, 2014. "Physiological Constraints and Comparative Economic Development," Discussion Papers 14-21, University of Copenhagen. Department of Economics.
    4. 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.
    5. Ribeiro, Fabiano L. & Ribeiro, Kayo N., 2015. "A one dimensional model of population growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 201-210.
    6. Giacomini, Henrique C. & DeAngelis, Donald L. & Trexler, Joel C. & Petrere, Miguel, 2013. "Trait contributions to fish community assembly emerge from trophic interactions in an individual-based model," Ecological Modelling, Elsevier, vol. 251(C), pages 32-43.
    7. Carey W. King, 2021. "Interdependence of Growth, Structure, Size and Resource Consumption During an Economic Growth Cycle," Papers 2106.02512, arXiv.org.
    8. Santiago Campos-Barreiro & Jesús López-Fidalgo, 2015. "D-optimal experimental designs for a growth model applied to a Holstein-Friesian dairy farm," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 491-505, September.
    9. Sébastien Benzekry & Clare Lamont & Afshin Beheshti & Amanda Tracz & John M L Ebos & Lynn Hlatky & Philip Hahnfeldt, 2014. "Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-19, August.
    10. Tao, Yong & Lin, Li & Wang, Hanjie & Hou, Chen, 2023. "Superlinear growth and the fossil fuel energy sustainability dilemma: Evidence from six continents," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 39-51.
    11. Hendriks, A. Jan, 2007. "The power of size: A meta-analysis reveals consistency of allometric regressions," Ecological Modelling, Elsevier, vol. 205(1), pages 196-208.
    12. Annette Baudisch, 2009. "How ageing is shaped by trade-offs," MPIDR Working Papers WP-2009-043, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. James W. Vaupel & Trifon I. Missov & Jessica Metcalf, 2008. "Optimal semelparity," MPIDR Working Papers WP-2008-012, Max Planck Institute for Demographic Research, Rostock, Germany.
    14. Fabiano L Ribeiro & Joao Meirelles & Vinicius M Netto & Camilo Rodrigues Neto & Andrea Baronchelli, 2020. "On the relation between transversal and longitudinal scaling in cities," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-20, May.
    15. Wilson Lara & Stella Bogino & Felipe Bravo, 2018. "Multilevel analysis of dendroclimatic series with the R-package BIOdry," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-23, May.
    16. Shi, Pei-Jian & Men, Xing-Yuan & Sandhu, Hardev S. & Chakraborty, Amit & Li, Bai-Lian & Ou-Yang, Fang & Sun, Yu-Cheng & Ge, Feng, 2013. "The “general” ontogenetic growth model is inapplicable to crop growth," Ecological Modelling, Elsevier, vol. 266(C), pages 1-9.
    17. Rajan Varadarajan, 2020. "Advancing theory in marketing: insights from conversations in other disciplines," AMS Review, Springer;Academy of Marketing Science, vol. 10(1), pages 73-84, June.
    18. Benoit, David M. & Giacomini, Henrique C. & Chu, Cindy & Jackson, Donald A., 2021. "Identifying influential parameters of a multi-species fish size spectrum model for a northern temperate lake through sensitivity analyses," Ecological Modelling, Elsevier, vol. 460(C).
    19. Mauricio González-Forero & Timm Faulwasser & Laurent Lehmann, 2017. "A model for brain life history evolution," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-28, March.
    20. Shi, Pei-Jian & Ishikawa, Tetsuroh & Sandhu, Hardev S. & Hui, Cang & Chakraborty, Amit & Jin, Xian-Shi & Tachihara, Katsunori & Li, Bai-Lian, 2014. "On the 3/4-exponent von Bertalanffy equation for ontogenetic growth," Ecological Modelling, Elsevier, vol. 276(C), pages 23-28.

    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:491:y:2024:i:c:s0304380024000917. 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.