ibd_models | R Documentation |
ibd_models
simulates population dynamics under three different
inmigration, birth and death models.
ibd_models(n0, beta, delta, mu, K = NULL, time_v, type)
n0 |
Initial number of individuals in the population. |
beta |
Birth rate, in time^(-1) units. |
delta |
Death rate, in time^(-1) units. |
mu |
Inmigration rate, in time^(-1) units. |
K |
Carrying capacity. |
time_v |
Vector of times to sample. Must start with 0. |
type |
Type of inmigration, birth, death- model used to simulate the
dynamics. This must be |
We have included three different stochastic models: Kendall (1948) seminal work, Alonso & McKane (2002) mainland-island model, and Haegeman & Loreau (2010) basic population model with denso-dependent deaths. These models are different formulations of a population dynamics with three basic processes: birth, death and inmigration of individuals. For the specifics, please refer to the original articles.
A data.frame with two columns: one with the time vector and the other with the number of individuals at those times.
Haegeman & Loreau model specification breaks for high values of
n0
when the birth rate is lower than the death rate.
Kendall, D. G. (1948). On some modes of population growth leading
to R. A. Fishers logarithmic series distribution. Biometrika,
35, 6–15.
Haegeman, B. and Loreau, M. (2010). A
mathematical synthesis of niche and neutral theories in community ecology.
Journal of Theoretical Biology, 269(1), 150–165.
Alonso, D. and McKane, A (2002). Extinction Dynamics in Mainland–Island
Metapopulations: An N -patch Stochastic Model. Bulletin of
Mathematical Biology, 64, 913–958.
ibd_models(n0 = 0, beta = 0.4, delta = 0.3, mu = 0.2,
time_v = 0:20, type = "Kendall")
ibd_models(n0 = 0, beta = 0.4, delta = 0.3, mu = 0.1, K = 30,
time_v = 0:20, type = "Alonso")
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