repro_maturity | R Documentation |
Apply Markov chain approaches to compute age-specific
trajectory of reproduction for individuals in a matrix population model.
Includes functions to calculate the probability of achieving reproductive
maturity (mature_prob
), mean age at first reproduction
(mature_age
), and distribution of individuals first achieving
reproductive maturity among stage class (mature_distrib
).
mature_prob(matU, matR, start = 1L)
mature_age(matU, matR, start = 1L)
mature_distrib(matU, start = 1L, repro_stages)
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 reproductive component of a matrix population model (i.e., a square projection matrix reflecting transitions due to reproduction; either sexual, clonal, or both). Optionally with named rows and columns indicating the corresponding life stage names. |
start |
The index (or stage name) of the first stage at which the author
considers the beginning of life. Defaults to |
repro_stages |
A vector of stage names or indices indicating which
stages are reproductive. Alternatively, a logical vector of length
|
For mature_distrib
, a vector giving the proportion of
individuals that first reproduce within each stage class. For all others, a
scalar trait value.
Note that the units of time in returned values are the same as the
ProjectionInterval
of the MPM.
Roberto Salguero-Gomez <rob.salguero@zoo.ox.ac.uk>
Hal Caswell <hcaswell@whoi.edu>
Owen R. Jones <jones@biology.sdu.dk>
Patrick Barks <patrick.barks@gmail.com>
Caswell, H. 2001. Matrix Population Models: Construction, Analysis, and Interpretation. Sinauer Associates; 2nd edition. ISBN: 978-0878930968
Other life history traits:
entropy_d()
,
entropy_k()
,
gen_time()
,
life_expect_mean()
,
longevity()
,
net_repro_rate()
,
shape_rep()
,
shape_surv()
data(mpm1)
mature_prob(mpm1$matU, mpm1$matF, start = 2)
mature_age(mpm1$matU, mpm1$matF, start = 2)
### distribution of first reproductive maturity among stage classes
repstage <- repro_stages(mpm1$matF)
mature_distrib(mpm1$matU, start = 2, repro_stages = repstage)
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