bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 28, 2023
ABSTRACT
Designing
effective
conservation
plans
to
protect
species
from
extinction
requires
a
better
understanding
of
their
ecology.
Conventional
methods
used
investigate
habitat
use
are
time
consuming,
and
detectability
cryptic
is
often
insufficient.
Environmental
DNA
(eDNA)-based
approaches
now
provide
an
alternative
for
ecosystems
monitoring
assessment.
Nevertheless,
our
knowledge,
such
have
never
been
applied
at
fine
scale
in
continuous
wetland
environment.
Here,
we
eDNA
metabarcoding
approach
characterize
the
breeding
local
amphibian
wet
meadow
expanse
along
southern
shore
Lake
Neuchâtel,
Switzerland.
We
retrieved
six
out
seven
expected
be
present.
tested
influence
abiotic
environmental
variables
on
overall
communities
as
well
individual
occurrences.
showed
that
main
factor
structuring
was
water
temperature,
distribution
three
associated
with
several
variables.
Our
results
indicate
promising
tool
study
species’
ecology
small
habitats.
Environmental DNA,
Journal Year:
2025,
Volume and Issue:
7(2)
Published: March 1, 2025
ABSTRACT
Environmental
DNA
(eDNA)
metabarcoding
is
changing
the
way
biodiversity
surveyed
in
many
types
of
ecosystems.
eDNA
surveys
are
now
commonly
performed
and
integrated
into
monitoring
programs
public
databases.
Although
it
widely
recognized
that
records
require
interpretation
light
taxonomy
biogeography,
there
remains
a
range
perceptions
about
how
thoroughly
should
be
evaluated
which
ones
reported.
Here,
we
present
modular
procedure,
available
as
an
R
script,
uses
set
five
steps
to
assess
confidence
species‐level
by
assigning
them
score
from
0
5.
This
procedure
includes
evaluations
known
geographic
distribution
each
taxon,
taxonomic
resolution
marker
used,
regional
completeness
reference
database,
diversification
rate,
map
taxon.
We
tested
on
large‐scale
marine
fish
dataset
(572
samples)
covering
15
ecoregions
worldwide,
poles
tropics,
using
teleo
mitochondrial
12S
ribosomal
gene.
Our
analysis
revealed
broad
variation
average
among
regions,
with
highest
scores
occurring
along
European
Eastern
Atlantic
coasts.
Generalized
linear
models
applied
record
covariates
highlighted
significant
influences
latitude
species
richness
low
(<
2.5).
The
polar
regions
notably
displayed
high
proportions
scores,
probably
due
limited
databases
marker.
conclude
only
(>
2.5)
medium
(2.5)
relatively
low‐confidence
correspond
further
investigation
may
after
inspection
ensure
high‐quality
records.
Wildlife Biology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Water
availability
strongly
influences
the
ecology
of
terrestrial
birds
and
mammals.
It
will
likely
play
an
increasing
role
as
a
limiting
factor
climate
change
human
demand
make
water
scarcer.
However,
we
lack
knowledge
synthesis
describing
our
current
understanding
use
sources,
particularly
for
wildlife
hydration.
To
provide
comprehensive
overview
available
research
regarding
utilization
bodies
hydration
sources
by
mammals,
conducted
mapping
review
based
on
extensive
search
papers
in
Web
Science
Scopus
databases
published
up
to
2022.
We
compiled
181
that
met
inclusion
criteria.
Earlier
date
back
1965,
but
stable
publication
rate
was
not
reached
until
2005,
there
has
been
significant
growth
since
2015.
The
USA,
Mexico,
Zimbabwe
had
most
papers.
Studies
were
concentrated
areas
with
mean
annual
precipitation
lower
than
1000
mm,
predominantly
deserts
xeric
shrublands,
well
tropical
subtropical
grasslands,
savannas,
shrublands.
heavily
focused
mammals
less
frequently
included
overrepresentation
species
classified
‘Least
concern'
both
groups.
Very
few
studies
canopy,
even
fewer
compared
surface
versus
arboreal
sources.
Cameras
direct
observations
main
methods
used
document
wildlife's
use.
Attention
shows
trend;
however,
given
globalized
reduction
quality,
it
is
urgent
widen
scope
include
greater
variety
habitat
types,
animal
species.
Such
increase
necessary
unravel
magnitude
impacts
reductions
can
have
short
long
term
viability.
Environmental DNA,
Journal Year:
2025,
Volume and Issue:
7(2)
Published: March 1, 2025
ABSTRACT
Global
efforts
aimed
at
safeguarding
and
restoring
biodiversity
require
methods
to
monitor
progress
towards
conservation
objectives.
Such
should
provide
a
systematic
robust
assessment
of
for
the
lowest
cost.
River
environmental
DNA
(eDNA)
metabarcoding
has
been
successfully
applied
measure
in
dendritic
riverine
habitats
is
increasingly
used
describe
communities
terrestrial
vertebrates
ecosystems
that
are
challenging
survey
using
traditional
methods.
However,
interpreting
eDNA
surveys
requires
an
understanding
influence
transport,
decay,
production
on
distribution
eDNA.
To
this
end,
hydrology‐based
eDITH
(eDNA
Integrating
Transport
Hydrology)
model
incorporates
such
factors
can
recover
reliable
spatial
patterns
aquatic
taxa,
but
its
potential
taxa
so
far
unexplored.
Here,
we
data
mammals
collected
over
two
mountainous
catchments
(575
745
km
2
)
British
Columbia,
Canada.
We
assessed
prediction
transferability
between
neighboring
compared
predictions
with
observations
from
camera
trapping.
found
9
out
15
detected
by
both
traps,
predicted
distributions
predominantly
matched
trap
surveys,
illustrating
uncover
mammal
catchments.
While
lacking
knowledge
actual
taxon
density
prevents
us
determining
whether
discrepancies
stem
limitations
or
complex
production‐density
relationships,
good
suggests
some
semi‐aquatic
partly
determined
habitat
preference
hydrology.
Downstream
sampling
most
across
catchment,
inclusion
upstream
samples
aid
detecting
elusive
species.
This
study
underscores
broader
applications
river
beyond
species
illustrates
use
addressing
monitoring
objectives
tailored
approaches.
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(7)
Published: July 1, 2024
Species
detections
often
vary
depending
on
the
survey
methods
employed.
Some
species
may
go
undetected
when
using
only
one
approach
in
community-level
inventory
and
monitoring
programs,
which
has
management
conservation
implications.
We
conducted
a
comparative
study
of
terrestrial
mammal
bird
spring
summer
2021
by
placing
camera
traps
at
30
locations
across
large
military
installation
northern
Michigan,
USA
testing
replicate
soil
samples
from
these
sites
for
environmental
DNA
(eDNA)
an
established
vertebrate
metabarcoding
assay.
detected
total
48
taxa
both
methods:
26
mammalian
(excluding
humans,
24
to
two
genus)
22
avian
(21
genus).
relatively
even
distribution
cameras
(17)
via
eDNA
analysis
(15),
with
seven
methods.
Most
medium-to-large
carnivores
were
cameras,
whereas
semi-fossorial
small
mammals
analysis.
higher
diversity
(18
taxa)
compared
(eight
taxa;
four
methods),
but
alone
most
effective
detecting
smaller
birds
that
frequently
occupy
arboreal
environments.
also
used
Bayesian
spatial
occupancy
models
widely
distributed
game
(white-tailed
deer,
Environmental DNA,
Journal Year:
2023,
Volume and Issue:
5(6), P. 1608 - 1622
Published: Oct. 20, 2023
Abstract
The
anthropogenic
impact
on
the
world's
ecosystems
is
severe
and
need
for
non‐invasive,
cost‐effective
tools
monitoring
understanding
those
impacts
are
therefore
urgent.
Here,
we
combine
two
such
methods
in
a
comprehensive
multi‐year
study;
camera
trapping
(CT)
analysis
of
environmental
DNA
(eDNA),
river
marginal
zones
temperate,
wetland
Nature
Park
Denmark.
CT
was
performed
from
2015
to
2019
total
8778
trap
days
yielded
24,376
animal
observations.
observations
covered
87
taxa,
which
78
were
identified
species
level,
73
wild
native
species.
For
eDNA
metabarcoding,
114
freshwater
samples
collected
eight
sites
all
four
seasons
2017
2018.
results
detection
80
74
65
While
number
taxa
detected
with
comparable,
overlap
only
20%.
In
combination,
thus
115
(20
fishes,
4
amphibians,
one
snake,
23
mammals,
67
birds),
representing
half
found
via
conventional
surveys
over
last
ca.
20
years
(83%
68%
67%
41%
birds,
20%
reptiles).
Our
study
demonstrates
that
holistic
approach
combining
non‐invasive
methods,
CT,
has
great
potential
as
biomonitoring
tool
vertebrates.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 3, 2024
Abstract
Automated
invertebrate
classification
using
computer
vision
has
shown
significant
potential
to
improve
specimen
processing
efficiency.
However,
challenges
such
as
diversity
and
morphological
similarity
among
taxa
can
make
it
difficult
infer
fine-scale
taxonomic
classifications
vision.
As
a
result,
many
models
are
forced
at
coarser
levels,
family
or
order.
Here
we
propose
novel
framework
combine
bulk
DNA
metabarcoding
pipelines
the
accuracy
granularity
of
individual
classifications.
To
accuracy,
our
uses
multimodal
fusion
that
image
data
with
DNA-based
assemblage
data.
refine
model’s
classifications,
cross-references
detections
from
samples.
We
demonstrated
this
continental-scale,
bycatch
dataset
collected
by
National
Ecological
Observatory
Network.
The
included
17
spanning
three
phyla
(Annelida,
Arthropoda,
Mollusca),
finest
starting
these
being
order-level.
Using
framework,
reached
79.6%
across
real
data,
83.6%
when
was
“error-free”,
resulting
in
2.2%
6.2%
increase
compared
model
trained
only
images.
After
cross-referencing
detections,
improved
up
72.2%
5.7%
reaching
species-level.
By
providing
coincident
refining
greatly
expand
capabilities
biological
classifiers.
This
allows
classifiers
taxonomically
fine-grained
would
otherwise
be
impossible
due
morphologic
scarcity.
is
not
limited
terrestrial
invertebrates
could
applied
any
instance
where
concurrently
collected.
Royal Society Open Science,
Journal Year:
2024,
Volume and Issue:
11(4)
Published: April 1, 2024
Invertebrate-derived
DNA
(iDNA)
metabarcoding
from
carrion
flies
is
a
powerful,
non-invasive
tool
that
has
value
for
assessing
vertebrate
diversity.
However,
unknowns
exist
around
the
factors
influence
detections,
such
as
spatial
limits
to
iDNA
signals
or
if
detections
are
influenced
by
taxonomic
class
estimated
biomass
of
vertebrates
interest.
Using
bulk-collection
method,
we
captured
within
zoo
and
along
transects
extending
4
km
away
this
location.
From
920
flies,
detected
28
species.
Of
species,
identified
9
species
kept
at
zoo,
8
mammals
1
bird,
but
no
reptiles.
were
highly
geographically
localized,
only
few
animals
outside
setting.
due
low
number
in
our
dataset,
found
group
on
their
detectability.
Our
data
suggest
bulk-collected
least
urban
settings
Australia,
predominantly
determined
geographic
proximity
sampling
This
study
presents
an
important
step
understanding
how
techniques
can
be
used
biodiversity
monitoring.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 3, 2024
Abstract
Freshwater
ecosystems
are
in
decline
globally.
In
Australia,
threatening
processes
include
invasive
species,
increasing
drought
frequency,
climate
change
and
changes
to
land
use,
all
of
which
have
been
associated
with
declining
vertebrate
diversity,
particularly
Australia’s
arid
interior.
Efficient
monitoring
tools
required
effectively
monitor
conserve
freshwater
their
communities.
Environmental
DNA
(eDNA)
metabarcoding
is
one
tool
that
shows
promise
for
these
systems,
but
knowledge
how
eDNA
data
compares
more
established
ecological
assessment
techniques
limited.
To
address
this
gap,
we
sampled
from
seven
water
bodies
proposed
conservation
importance
the
Australian
arid-lands,
at
three
timepoints
measure
visitation
compare
our
findings
camera
trapping
same
locations.
Using
detected
19
species
vertebrates,
including
native
(such
as
macropods,
wombats
emus)
feral
goats,
cats
foxes).
contrast,
traps
32
was
much
successful
detecting
bird
than
eDNA.
These
communities
varied
both
spatially
between
rock-holes,
temporally,
summer
collection
periods
being
distinct
winter-spring.
Our
results
demonstrate
success
a
arid-lands
complementary
traditional
survey
methods
such
wildlife
trapping.
Finally,
provide
recommendations
discuss
efficacy
resources
environments.
Urban Ecosystems,
Journal Year:
2022,
Volume and Issue:
25(6), P. 1745 - 1764
Published: July 16, 2022
Abstract
In
an
increasingly
urbanized
world,
there
is
a
need
to
study
urban
areas
as
their
own
class
of
ecosystems
well
assess
the
impacts
anthropogenic
on
biodiversity.
However,
collecting
sufficient
number
species
observations
estimate
patterns
biodiversity
in
city
can
be
costly.
Here
we
investigated
use
community
science-based
data
occurrences,
combined
with
distribution
models
(SDMs),
built
using
MaxEnt
and
remotely-sensed
measures
environment,
predict
across
environment
Los
Angeles.
By
selecting
most
accurate
SDMs,
then
summarizing
these
by
class,
were
able
produce
two
richness
(SRMs)
for
Aves
Magnoliopsida
how
they
respond
variety
natural
environmental
gradients.
We
found
that
considered
native
Angeles
tend
have
significantly
more
SDMs
than
non-native
counterparts.
For
all
this
variables
describing
activities,
such
housing
density
alterations
land
cover,
influential
factors,
terrain
proximity
freshwater,
shaping
SDMs.
Using
random
forest
model
our
SRMs
could
account
approximately
54%
62%
predicted
variation
classes
respectively.
used
roles
factors
them.