growth | R Documentation |
Population growth functions are used during simulation
conducted by the sim
function.
The user is required to specify the name of a growth function while initialising the
sim_data
object using initialise
.
exponential(x, r, ...)
ricker(x, r, K, A = NA)
gompertz(x, r, K, A = NA)
x |
number of individuals |
r |
intrinsic population growth rate |
... |
not used, added for compatibility reasons |
K |
carrying capacity |
A |
coefficient of Allee effect (A <= 0: weak, A > 0: strong, NA: none) |
x
can be a vector, matrix, SpatRaster
or any other R
object for which basic arithmetic operations produce valid results.
These functions are intended to be used in the sim
function, where x
is a matrix of the same dimensions as the SpatRaster
object specified in n1_map
parameter.
Object of the same dimensions as x
that contains expected number
of individuals in the next time step.
Boukal, D. S., & Berec, L. (2002). Single-species models of the Allee effect: extinction boundaries, sex ratios and mate encounters. Journal of Theoretical Biology, 218(3), 375-394. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1006/jtbi.2002.3084")}
Gompertz, B. (1825) On the Nature of the Function Expressive of the Law of Human Mortality, and on a New Mode of Determining the Value of Life Contigencies. Philosophical Transactions of the Royal Society of London, 115, 513-583. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1098/rstl.1825.0026")}
Ricker, W.E. (1954) Stock and Recruitment. Journal of the Fisheries Research Board of Canada, 11, 559-623. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1139/f54-039")}
Hostetler, J.A. and Chandler, R.B. (2015), Improved state-space models for inference about spatial and temporal variation in abundance from count data. Ecology, 96: 1713-1723. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1890/14-1487.1")}
Courchamp, F., L. Berec and J. Gascoigne. 2008. Allee Effects in Ecology and Conservation. Oxford University Press, New York. 256 pp. ISBN 978-0-19-857030-1
x <- 1:10
exponential(x, r = 0.4)
ricker(x, r = 2, K = 5)
ricker(x, r = 2, K = 5, A = -5)
gompertz(x, r = 1.2, K = 5)
gompertz(x, r = 1.2, K = 5, A = 5)
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