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Trajectories and models of individual growth

Author

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  • Arseniy Karkach

    (Max-Planck-Institut für Demografische Forschung)

Abstract

It has long been recognized that the patterns of growth play an important role in the evolution of age trajectories of fertility and mortality (Williams, 1957). Life history studies would benefit from a better understanding of strategies and mechanisms of growth, but still no comparative research on individual growth strategies has been conducted. Growth patterns and methods have been shaped by evolution and a great variety of them are observed. Two distinct patterns - determinate and indeterminate growth - are of a special interest for these studies since they present qualitatively different outcomes of evolution. We attempt to draw together studies covering growth in plant and animal species across a wide range of phyla focusing primarily on the noted qualitative features. We also review mathematical descriptions of growth, namely empirical growth curves and growth models, and discuss the directions of future research.

Suggested Citation

  • Arseniy Karkach, 2006. "Trajectories and models of individual growth," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(12), pages 347-400.
    • Handle: RePEc:dem:demres:v:15:y:2006:i:12
    DOI: 10.4054/DemRes.2006.15.12
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    Cited by:

    1. J. López Fidalgo & I. M. Ortiz Rodr�guez & Weng Kee Wong, 2011. "Design issues for population growth models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(3), pages 501-512, November.
    2. Carl‐Johan Dalgaard & Casper Worm Hansen & Holger Strulik, 2021. "Fetal origins—A life cycle model of health and aging from conception to death," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1276-1290, June.
    3. Carl-Johan Dalgaard & Casper Worm Hansen & Holger Strulik, 2017. "Accounting for Fetal Origins: Health Capital vs. Health Deficits," Discussion Papers 17-11, University of Copenhagen. Department of Economics.
    4. Boult, Victoria L. & Quaife, Tristan & Fishlock, Vicki & Moss, Cynthia J. & Lee, Phyllis C. & Sibly, Richard M., 2018. "Individual-based modelling of elephant population dynamics using remote sensing to estimate food availability," Ecological Modelling, Elsevier, vol. 387(C), pages 187-195.
    5. Akihiro Manabe & Takashi Yamakawa & Shuhei Ohnishi & Tatsuro Akamine & Yoji Narimatsu & Hiroshige Tanaka & Tetsuichiro Funamoto & Yuji Ueda & Takeo Yamamoto, 2018. "A novel growth function incorporating the effects of reproductive energy allocation," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.
    6. Tjørve, Kathleen M.C. & Tjørve, Even, 2017. "A proposed family of Unified models for sigmoidal growth," Ecological Modelling, Elsevier, vol. 359(C), pages 117-127.
    7. R. Sedmák & L. Scheer, 2012. "Modelling of tree diameter growth using growth functions parameterised by least squares and Bayesian methods," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 58(6), pages 245-252.
    8. Xia, Shujuan & Yamakawa, Takashi & Zhang, Chongliang & Ren, Yiping, 2021. "A multispecies size-structured matrix model incorporating seasonal dynamics," Ecological Modelling, Elsevier, vol. 453(C).

    More about this item

    Keywords

    life history; development; model; growth curve; growth; ontogeny;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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