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Potential-Growth Indicators Revisited: Higher Generality and Wider Merit of Indication

Author

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  • Dmitrii O. Logofet

    (Laboratory of Mathematical Ecology, A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, 119017 Moscow, Russia)

  • Valerii N. Razzhevaikin

    (Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, 119333 Moscow, Russia)

Abstract

The notion of a potential-growth indicator came to being in the field of matrix population models long ago, almost simultaneously with the pioneering Leslie model for age-structured population dynamics, although the term has been given and the theory developed only in recent years. The indicator represents an explicit function, R ( L ), of matrix L elements and indicates the position of the spectral radius of L relative to 1 on the real axis, thus signifying the population growth, or decline, or stabilization. Some indicators turned out to be useful in theoretical layouts and practical applications prior to calculating the spectral radius itself. The most senior (1994) and popular indicator, R 0 ( L ), is known as the net reproductive rate, and we consider two others, R 1 ( L ) and R RT ( A ), developed later on. All the three are different in terms of their simplicity and the level of generality, and we illustrate them with a case study of Calamagrostis epigeios , a long-rhizome perennial weed actively colonizing open spaces in the temperate zone. While the R 0 ( L ) and R 1 ( L ) fail, respectively, because of complexity and insufficient generality, the R RT ( L ) does succeed, justifying the merit of indication.

Suggested Citation

  • Dmitrii O. Logofet & Valerii N. Razzhevaikin, 2021. "Potential-Growth Indicators Revisited: Higher Generality and Wider Merit of Indication," Mathematics, MDPI, vol. 9(14), pages 1-15, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:14:p:1649-:d:593468
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    References listed on IDEAS

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    1. Logofet, Dmitrii O., 2017. "Aggregation may or may not eliminate reproductive uncertainty," Ecological Modelling, Elsevier, vol. 363(C), pages 187-191.
    2. Logofet, Dmitrii O., 2008. "Convexity in projection matrices: Projection to a calibration problem," Ecological Modelling, Elsevier, vol. 216(2), pages 217-228.
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