Methods in Ecology and Evolution,
Journal Year:
2017,
Volume and Issue:
8(9), P. 1081 - 1091
Published: Jan. 28, 2017
Summary
Accurate
knowledge
of
species
occurrence
is
fundamental
to
a
wide
variety
ecological,
evolutionary
and
conservation
applications.
Assessing
the
presence
or
absence
at
sites
often
complicated
by
imperfect
detection,
with
different
mechanisms
potentially
contributing
false‐negative
and/or
false‐positive
errors
sampling
stages.
Ambiguities
in
data
mean
that
estimation
relevant
parameters
might
be
confounded
unless
additional
information
available
resolve
those
uncertainties.
Here,
we
consider
analysis
detection
multiple
levels.
We
develop
examine
two‐stage
occupancy‐detection
model
for
this
purpose.
use
profile
likelihoods
identifiability
estimation,
study
types
required
reliable
estimation.
test
simulated
data,
then
analyse
from
environmental
DNA
(
eDNA
)
surveys
four
Australian
frog
species.
In
our
case
study,
false
positives
may
arise
due
contamination
water
sample
quantitative
PCR
‐sample
levels,
whereas
negatives
not
being
captured
field
sample,
sensitivity
laboratory
tests.
augment
survey
aural
calibration
experiments.
demonstrate
identifiable
if
only
prone
are
available.
At
least
two
sources
extra
(e.g.
records
method
unambiguous
detections,
experiment).
Alternatively,
can
achieved
setting
plausible
bounds
on
rates
as
prior
Bayesian
setting.
The
results
matched
simulations
respect
requirements,
revealed
greater
than
zero
all
provide
statistical
modelling
tools
account
uncertainties
when
could
occur
Such
needed
support
management
policy
decisions.
Dealing
these
traditional
methods,
but
also
promising
new
techniques,
such
sampling.
Molecular Ecology Resources,
Journal Year:
2017,
Volume and Issue:
18(2), P. 368 - 380
Published: Nov. 9, 2017
In
this
article,
we
describe
ednaoccupancy,
an
r
package
for
fitting
Bayesian,
multiscale
occupancy
models.
These
models
are
appropriate
surveys
that
include
three
nested
levels
of
sampling:
primary
sample
units
within
a
study
area,
secondary
collected
from
each
unit
and
replicates
unit.
This
design
is
commonly
used
in
environmental
DNA
(eDNA).
ednaoccupancy
allows
users
to
specify
fit
with
or
without
covariates,
estimate
posterior
summaries
occurrence
detection
probabilities,
compare
different
using
Bayesian
model-selection
criteria.
We
illustrate
these
features
by
analysing
two
published
data
sets:
eDNA
fungal
pathogen
amphibians
endangered
fish
species.
Frontiers in Marine Science,
Journal Year:
2017,
Volume and Issue:
3
Published: Jan. 8, 2017
Given
the
rapid
rise
of
environmental
DNA
(eDNA)
surveys
in
ecology
and
science,
it
is
important
to
be
able
compare
results
these
traditional
methods
measuring
biodiversity.
Here
we
samples
from
a
method
(a
manual
tow-net)
companion
eDNA
sequenced
at
three
different
genetic
loci.
We
find
only
partial
taxonomic
overlap
among
resulting
datasets,
with
each
reflecting
portion
larger
suite
taxa
present
sampled
nearshore
marine
environment.
In
context
sequencing
surveys,
our
suggest
that
primer
amplification
bias
drives
much
detection,
baseline
probability
detecting
any
given
taxon
broad-spectrum
set
likely
low.
Whether
catching
fish
nets
or
using
PCR
sets,
multiple
data
types
can
provide
complementary
views
common
ecosystem.
However,
remains
difficult
cross-validate
techniques
field,
either
for
presence/absence
abundance,
particularly
sets
target
very
wide
ranges.
Finally,
highlight
breadth
diversity
single
habitat,
although
does
capture
richer
sample
community
than
sampling,
large
number
focusing
on
subsets
biota
would
necessary
survey
ecological
reasonably
comprehensive
way.
Molecular Ecology Resources,
Journal Year:
2016,
Volume and Issue:
17(2), P. 221 - 229
Published: Oct. 21, 2016
A
set
of
universal
guidelines
is
needed
to
determine
the
limit
detection
(LOD)
in
PCR-based
analyses
low-concentration
DNA.
In
particular,
environmental
DNA
(eDNA)
studies
require
sensitive
and
reliable
methods
detect
rare
cryptic
species
through
shed
genetic
material
samples.
Current
strategies
for
assessing
limits
eDNA
are
either
too
stringent
or
subjective,
possibly
resulting
biased
estimates
species'
presence.
Here,
a
conservative
LOD
analysis
grounded
analytical
chemistry
proposed
correct
overestimated
concentrations
predominantly
caused
by
concentration
plateau,
nonlinear
relationship
between
expected
measured
concentrations.
We
have
used
statistical
criteria
establish
formal
mathematical
models
both
quantitative
droplet
digital
PCR.
To
assess
method,
new
Grass
Carp
(Ctenopharyngodon
idella)
TaqMan
assay
was
developed
tested
on
PCR
platforms
using
water
The
adjustment
reduced
occupancy
while
increasing
uncertainty-indicating
that
caution
needs
be
applied
data
without
correction.
Compared
PCR,
had
higher
occurrence
due
increased
sensitivity
dilution
inhibitors
at
low
Without
accurate
correction,
probabilities
based
prone
source
bias
cannot
an
increase
sample
size
replicates.
Other
applications
also
could
benefit
from
standardized
such
as
GMO
food
forensic
clinical
diagnostics.
Methods in Ecology and Evolution,
Journal Year:
2016,
Volume and Issue:
7(11), P. 1291 - 1298
Published: May 30, 2016
Summary
Environmental
DNA
(
eDNA
)
sampling
can
be
a
highly
sensitive
method
for
detecting
aquatic
taxa;
however,
the
cost‐efficiency
of
this
technique
relative
to
traditional
methods
has
not
been
rigorously
assessed.
We
show
how
that
account
imperfect
and
stochastic
detection
used
(i)
determine
optimal
allocation
survey
effort
with
fixed
budget
(i.e.
identify
combination
water
samples
vs.
site
visits),
(ii)
assess
techniques.
illustrate
approach
by
comparing
bottle‐trapping
an
exotic
newt
species
Lissotriton
v.
vulgaris
recently
detected
in
Melbourne,
Australia.
Bottle
traps
produced
much
lower
rates
than
sampling,
but
two
similar
because
is
cheaper
per
sample.
The
was
available
budget,
costs
primer/probe
development
sample
processing
number
positive
quantitative
PCR
assays
qPCR
s)
designate
as
.
more
cost‐efficient
small
intermediate
budgets
when
were
low,
1/4
or
2/4
s
label
However,
bottle
generally
high,
regardless
threshold
budget.
Traditional
may
achieve
probabilities
compared
totality
make
less
efficient
techniques
some
circumstances.
Our
provides
framework
determining
many
visits
are
required
maximize
calculate
any
method.
Methods in Ecology and Evolution,
Journal Year:
2017,
Volume and Issue:
8(9), P. 1081 - 1091
Published: Jan. 28, 2017
Summary
Accurate
knowledge
of
species
occurrence
is
fundamental
to
a
wide
variety
ecological,
evolutionary
and
conservation
applications.
Assessing
the
presence
or
absence
at
sites
often
complicated
by
imperfect
detection,
with
different
mechanisms
potentially
contributing
false‐negative
and/or
false‐positive
errors
sampling
stages.
Ambiguities
in
data
mean
that
estimation
relevant
parameters
might
be
confounded
unless
additional
information
available
resolve
those
uncertainties.
Here,
we
consider
analysis
detection
multiple
levels.
We
develop
examine
two‐stage
occupancy‐detection
model
for
this
purpose.
use
profile
likelihoods
identifiability
estimation,
study
types
required
reliable
estimation.
test
simulated
data,
then
analyse
from
environmental
DNA
(
eDNA
)
surveys
four
Australian
frog
species.
In
our
case
study,
false
positives
may
arise
due
contamination
water
sample
quantitative
PCR
‐sample
levels,
whereas
negatives
not
being
captured
field
sample,
sensitivity
laboratory
tests.
augment
survey
aural
calibration
experiments.
demonstrate
identifiable
if
only
prone
are
available.
At
least
two
sources
extra
(e.g.
records
method
unambiguous
detections,
experiment).
Alternatively,
can
achieved
setting
plausible
bounds
on
rates
as
prior
Bayesian
setting.
The
results
matched
simulations
respect
requirements,
revealed
greater
than
zero
all
provide
statistical
modelling
tools
account
uncertainties
when
could
occur
Such
needed
support
management
policy
decisions.
Dealing
these
traditional
methods,
but
also
promising
new
techniques,
such
sampling.