net_repro_rate {Rage} | R Documentation |
Calculate net reproductive rate (R0) from a matrix population model
Description
Calculate net reproductive rate (R0) from a matrix population model. The net reproduction rate (R0) is the mean number of recruits produced during the mean life expectancy of an individual. See section 5.3.5 of Caswell (2001).
Usage
net_repro_rate(matU, matR, start = 1, method = "generation")
Arguments
matU |
The survival component of a matrix population model (i.e., a square projection matrix reflecting survival-related transitions; e.g. progression, stasis, and retrogression). Optionally with named rows and columns indicating the corresponding life stage names. |
matR |
The fertility component of a matrix population model. |
start |
Index (or stage name) of the first stage at which the author
considers the beginning of life. Only used if |
method |
The method used to calculate net reproductive rate, either
|
Details
The method
argument controls how net reproductive rate is calculated.
If method = "generation"
, net reproductive rate is calculated as the
per-generation population growth rate (i.e., the dominant eigenvalue of
matR %*% N
, where N
is the fundamental matrix). See Caswell
(2001) Section 5.3.4.
If method = "start"
, net reproductive rate is calculated as the
expected lifetime production of offspring that start life in stage
start
, by an individual also starting life in stage start
(i.e., (matR %*% N)[start,start]
).
If offspring only arise in stage start
, the two methods give the
same result.
Value
Returns the net reproductive rate. If matU
is singular (often
indicating infinite life expectancy), returns NA
.
Author(s)
Roberto Salguero-Gomez <rob.salguero@zoo.ox.ac.uk>
Hal Caswell <h.caswell@uva.nl>
References
Caswell, H. 2001. Matrix Population Models: Construction, Analysis, and Interpretation. Sinauer Associates; 2nd edition. ISBN: 978-0878930968
See Also
Other life history traits:
entropy_d()
,
entropy_k()
,
gen_time()
,
life_expect_mean()
,
longevity()
,
repro_maturity
,
shape_rep()
,
shape_surv()
Examples
data(mpm1)
net_repro_rate(mpm1$matU, mpm1$matF)
# calculate R0 using the start method, specifying either the life stage index
# or name
net_repro_rate(mpm1$matU, mpm1$matF, method = "start", start = 2)
net_repro_rate(mpm1$matU, mpm1$matF, method = "start", start = "small")