Estimates
of
wildlife
population
size
are
critical
for
conservation
and
management,
but
accurate
estimates
difficult
to
obtain
many
species.Several
methods
have
recently
been
developed
that
estimate
abundance
using
kinship
relationships
observed
in
genetic
samples
,
particularly
parent-offspring
pairs
.While
these
similar
traditional
Capture-Mark-Recapture,
they
do
not
need
physical
recapture,
as
individuals
considered
recaptured
if
a
sample
contains
one
or
more
close
relatives.This
makes
based
on
genetically-identified
interesting
species
which
releasing
marked
animals
back
into
the
is
desirable
possible
(e.g.,
harvested
fish
game
species).However,
while
successfully
applied
commercially
important
species,
absence
lifehistory
data,
making
several
assumptions
unlikely
be
met
terrestrial
species.They
assume
only
generation
parents
juveniles
year,
than
two
generations
can
coexist
hunting
bags
long-lived
sampling
probability
same
each
individual,
an
assumption
violated
when
fecundity
and/or
survival
depend
sex
other
individual
traits.In
order
assess
usefulness
kin-based
sizes
we
simulated
pedigrees
different
with
contrasting
demographic
strategies
(wild
boar
red
deer),
four
compared
accuracy
precision
their
estimates.We
also
performed
sensitivity
analysis,
simulating
varying
characteristics
various
levels
harvesting
identify
optimal
conditions
applicability
method.We
showed
all
reached
required
effective
management
under
circumstances
(i.e.,
within
given
range
intensity),
being
robust
variation.Despite
potential
care
needed
Population Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Abstract
Several
attempts
have
been
made
to
understand
the
population
dynamics
of
fishery
resources,
such
as
tuna
species
using
an
integrated
analysis
model
with
multiple
data
sources.
However,
estimating
absolute
abundance
levels
in
practical
stock
assessments
remains
a
challenge.
Close‐kin
mark–recapture
(CKMR)
methods
provide
information
about
number
adults
close‐kinship
pairs
identified
by
genetic
markers
and
statistical
methods.
In
this
study,
we
compared
three
for
kinship
identification
different
algorithms
samples
wild
Pacific
bluefin
genotyped
across
5029
genome‐wide
single
nucleotide
polymorphisms
4108
samples.
The
flexible
relationship
analyzer
random
forest
method
developed
employs
pairwise
identity‐by‐descent
values
inputs
classification.
other
two
were
CKMRsim
COLONY,
which
published
applied
several
studies.
These
actual
genotyping
moderate
missing
genotypes,
addition
pseudo‐generated
simulation
test.
test
mimicked
physical
linkages
well
characteristics
similar
those
resulted
numbers
inferred
both
generated
data.
Particularly
half‐sibling
pairs,
considerable
false‐positives
false‐negatives
existed
results.
differences
results
interpreted
based
on
This
study
may
enhance
understanding
how
each
software
performs
when
single‐nucleotide
polymorphism
demonstrated
study.
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(2)
Published: Feb. 1, 2024
Abstract
Obtaining
robust
estimates
of
population
abundance
is
a
central
challenge
hindering
the
conservation
and
management
many
threatened
exploited
species.
Close‐kin
mark‐recapture
(CKMR)
genetics‐based
approach
that
has
strong
potential
to
improve
monitoring
data‐limited
species
by
enabling
abundance,
survival,
other
parameters
for
populations
are
challenging
assess.
However,
CKMR
models
have
received
limited
sensitivity
testing
under
realistic
dynamics
sampling
scenarios,
impeding
application
method
in
programs
stock
assessments.
Here,
we
use
individual‐based
simulation
examine
how
unmodeled
aging
uncertainty
affect
accuracy
precision
parameter
different
strategies.
We
then
present
adapted
correct
biases
arise
from
model
misspecification.
Our
results
demonstrate
simple
base‐case
produces
with
stable
breed
annually;
however,
if
trend
or
non‐annual
breeding
present,
year‐specific
desired,
more
complex
must
be
constructed.
In
addition,
show
can
generate
reliable
adults
variety
strategies,
including
juvenile‐focused
where
never
directly
observed
(and
error
minimal).
Finally,
apply
been
growth
intermittent
two
decades
genetic
data
juvenile
lemon
sharks
(
Negaprion
brevirostris
)
Bimini,
Bahamas,
samples
drawn
solely
juveniles
contribute
efforts
highly
mobile
populations.
Overall,
this
study
expands
our
understanding
biological
factors
decisions
cause
bias
models,
identifies
key
areas
future
inquiry,
provides
recommendations
aid
biologists
planning
implementing
an
effective
study,
particularly
long‐lived
Annual Review of Animal Biosciences,
Journal Year:
2023,
Volume and Issue:
12(1), P. 45 - 68
Published: Oct. 3, 2023
Genomic
data
are
becoming
increasingly
affordable
and
easy
to
collect,
new
tools
for
their
analysis
appearing
rapidly.
Conservation
biologists
interested
in
using
this
information
assist
management
planning
but
typically
limited
financially
by
the
lack
of
genomic
resources
available
non-model
taxa.
It
is
therefore
important
be
aware
pitfalls
as
well
benefits
applying
approaches.
Here,
we
highlight
recent
methods
aimed
at
standardizing
population
assessments
genetic
variation,
inbreeding,
forms
load
that
help
identify
past
ongoing
patterns
interchange
between
populations,
including
those
subjected
disturbance.
We
emphasize
challenges
some
these
need
adequate
bioinformatic
support.
also
consider
promises
approaches
understand
adaptive
changes
natural
populations
predict
future
capacity.
Ecology,
Journal Year:
2024,
Volume and Issue:
105(3)
Published: Jan. 25, 2024
Abstract
Close‐kin
mark–recapture
(CKMR)
is
a
method
analogous
to
traditional
but
without
requiring
recapture
of
individuals.
Instead,
multilocus
genotypes
(genetic
marks)
are
used
identify
related
individuals
in
one
or
more
sampling
occasions,
which
enables
the
opportunistic
use
samples
from
harvested
wildlife.
To
apply
accurately,
it
important
build
appropriate
CKMR
models
that
do
not
violate
assumptions
linked
species’
and
population's
biology
methods.
In
this
study,
we
evaluated
implications
fitting
overly
simplistic
populations
with
complex
reproductive
success
dynamics
selective
sampling.
We
forward‐in‐time,
individual‐based
simulations
evaluate
accuracy
precision
abundance
survival
estimates
species
different
longevities,
mating
systems,
strategies.
Simulated
approximated
range
life
histories
among
game
North
America
lethal
potential
using
estimate
population
size.
Our
show
can
yield
nontrivial
biases
both
estimates,
unless
influential
history
traits
explicitly
accounted
for
modeling
framework.
The
number
kin
pairs
observed
sample,
combination
type
kinship
model
(parent–offspring
and/or
half‐sibling
pairs),
affect
estimates.
promising
will
likely
see
an
increasing
applications
field
as
costs
genetic
analysis
continue
decline.
work
highlights
importance
applying
population‐specific
consider
relevant
demographic
parameters,
individual
covariates,
protocol
through
were
sampled.
Methods in Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Abstract
Close‐kin
mark–recapture
(CKMR)
methods
use
information
on
genetic
relatedness
among
individuals
to
estimate
demographic
parameters.
An
individual's
genotype
can
be
considered
a
‘recapture’
of
each
its
parent's
genotype,
and
the
frequency
kin‐pair
matches
detected
in
population
sample
directly
inform
estimates
abundance.
CKMR
inference
procedures
require
analysts
define
kinship
probabilities
functional
forms,
which
inevitably
involve
simplifying
assumptions.
Among
others,
structure
have
strong
influence
how
are
formulated.
Many
terrestrial
species
philopatric
or
face
barriers
dispersal,
not
accounting
for
dispersal
limitation
probabilities,
create
substantial
bias
if
sampling
is
also
spatially
structured
(e.g.
via
harvest).
We
present
explicit
formulation
that
corrects
incomplete
mixing
by
incorporating
natal
distances
spatial
distribution
into
probabilities.
used
individual‐based
simulations
evaluate
accuracy
abundance
obtained
with
one
naïve
two
models
across
six
scenarios
distinct
patterns
relative
probability.
Estimates
model
were
negatively
biased
when
was
biased.
Incorporating
helped
address
this
bias,
but
always
accurate
depending
scenario
considered.
created
heterogeneous
will
often
additional
assumptions
auxiliary
data
indices).
The
shown
here
designed
continuous
high
year‐to‐year
site
fidelity
could
extended
other
species.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Aug. 2, 2023
Abstract
Reliable
information
on
population
size
is
fundamental
to
the
management
of
threatened
species.
For
wild
species,
mark-recapture
methods
are
a
cornerstone
abundance
estimation.
Here,
we
show
first
application
close-kin
(CKMR)
method
terrestrial
species
high
conservation
value;
Christmas
Island
flying-fox
(CIFF).
The
CIFF
island's
last
remaining
native
mammal
and
was
recently
listed
as
critically
endangered.
CKMR
powerful
tool
for
estimating
demographic
parameters
central
circumvents
complications
arising
from
species’
cryptic
nature,
mobility,
difficult-to-survey
habitat.
To
this
end,
used
genetic
data
450
CIFFs
captured
between
2015
2019
detect
kin
pairs.
We
implemented
novel
model
that
estimates
sex-specific
abundance,
trend,
mortality
accommodates
observations
kin-pair
distribution
male
reproductive
skew
mate
persistence.
estimated
total
adult
female
be
approximately
2050
individuals
(95%
CI
(950,
4300)).
showed
average
only
23%
contributed
annual
reproduction
strong
evidence
between-year
fidelity,
an
observation
not
previously
quantified
Pteropus
in
wild.
Critically,
our
provide
most
robust
understanding
status
endangered
population,
informing
immediate
future
initiatives.
Methods in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 18, 2024
Abstract
Close‐kin
mark–recapture
(CKMR)
is
a
method
that
allows
estimating
population
census
size,
among
other
parameters,
through
the
observed
number
of
pairs
are
close‐kin
including
parent–offspring
(POPs)
and
half‐sibling
(HSPs).
CKMR
models
capable
abundance,
fecundity
survival
at
age
using
POPs
HSPs
from
different
cohorts.
The
link
between
effective
size
(
N
e
)
‘within‐cohort’
sibling
has
been
noted
before
but
how
to
actually
achieve
such
an
estimate
with
not
previously
demonstrated.
We
show
it
possible
use
along
‘different‐cohort’
.
These
can
be
combined
annual
variance
in
offspring
lifetime
total
reproductive
success
which
used
find
produced
by
adults
given
year
related
within‐cohort
comparisons.
Our
approach
demonstrated
on
individual‐based
simulation
where
we
offers
similar
results
estimated
methods
like
linkage
disequilibrium.
allow
while
also
demographic
parameters.