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Trait level analysis of multitrait population projection matrices

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  • Coste, Christophe F.D.
  • Austerlitz, Frédéric
  • Pavard, Samuel

Abstract

In most matrix population projection models, individuals are characterized according to, usually, one or two traits such as age, stage, size or location. A broad theory of multitrait population projection matrices (MPPMs) incorporating larger number of traits was long held back by time and space computational complexity issues. As a consequence, no study has yet focused on the influence of the structure of traits describing a life-cycle on population dynamics and life-history evolution.

Suggested Citation

  • Coste, Christophe F.D. & Austerlitz, Frédéric & Pavard, Samuel, 2017. "Trait level analysis of multitrait population projection matrices," Theoretical Population Biology, Elsevier, vol. 116(C), pages 47-58.
    • Handle: RePEc:eee:thpobi:v:116:y:2017:i:c:p:47-58
    DOI: 10.1016/j.tpb.2017.07.002
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    References listed on IDEAS

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    1. Coste, Christophe F.D. & Pavard, Samuel, 2020. "Analysis of a multitrait population projection matrix reveals the evolutionary and demographic effects of a life history trade-off," Ecological Modelling, Elsevier, vol. 418(C).

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