ibd_models simulates population dynamics under three different
inmigration, birth and death models.
Usage
ibd_models(n0, beta, delta, mu, K = NULL, time_v, type)
Value
A data.frame with two columns: one with the time vector and the other
with the number of individuals at those times.
Arguments
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 "Kendall", "Alonso" or "Haegeman".
Details
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.
References
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.