Stochastic Fecundity

Stochastic Fecundity is a demographic model representing the random variation in individual reproductive output within a population, distinguished by its incorporation of probabilistic rather than fixed fecundity rates to capture inherent unpredictability in birth processes at small population scales.

11

Publications

1.7K

Citations

19

Authors

19

Institutions

Publications per year

2017–2026

0

Authors

19

  1. CJ
    Charles J. Mode

    Drexel University, United States

    2 publications · 32 citations

    2

    h-index

  2. MW
    Maxine Weinstein

    Georgetown University, United States

    1 publications · 13 citations

    1

    h-index

  3. DO
    Dmitrii O. Logofet

    A.M. Obukhov Institute of Atmospheric Physics, Russia

    1 publications · 19 citations

    1

    h-index

  4. VK
    Veijo Kaitala

    University of Helsinki, Finland

    1 publications · 20 citations

    1

    h-index

  5. CS
    Chirayath Suchindran

    University of North Carolina at Chapel Hill, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 19

Venues

  1. Theoretical Population Biology

    TPB · 3 publications · 34 citations

    3

    h-index

  2. Social Biology

    1 publications · 13 citations

    1

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  3. Mathematical Biosciences

    1 publications · 18 citations

    1

    h-index

  4. Evolution

    1 publications · 44 citations

    1

    h-index

  5. Journal of Theoretical Biology

    1 publications · 1.5K citations

    1

    h-index

1–5