Wildlife Society Bulletin,
Journal Year:
2023,
Volume and Issue:
47(3)
Published: Aug. 7, 2023
Abstract
Remote
cameras
are
used
to
study
demographics,
ecological
processes,
and
behavior
of
wildlife
populations.
Cameras
have
also
been
measure
snow
depth
with
physical
stakes.
However,
concerns
that
instruments
at
camera
sites
may
influence
animal
limit
installation
facilitate
collecting
such
data.
Given
data
inherently
contained
within
images,
potential
insights
could
be
made
using
these
lost.
To
camera‐based
observations
without
additional
equipment
installation,
we
developed
a
method
implemented
in
an
R
package
called
edger
superimpose
virtual
measurement
devices
onto
images.
The
stakes
can
derive
measurements.
We
validated
the
for
estimation
from
Latah
County,
Idaho,
USA
winter
2020–2021.
Mean
bias
error
between
stake
was
5.8
cm;
mean
absolute
8.8
cm.
Nash
Sutcliffe
Efficiency
score
comparing
fit
2
sets
measurements
each
0.748,
indicating
good
agreement.
provides
researchers
means
take
critical
studies
use
objects
alter
behavior,
finer
scales
complement
other
sources
coarser
spatial
temporal
resolution.
Journal of Animal Ecology,
Journal Year:
2023,
Volume and Issue:
92(7), P. 1357 - 1371
Published: March 21, 2023
Abstract
Methods
for
collecting
animal
behaviour
data
in
natural
environments,
such
as
direct
observation
and
biologging,
are
typically
limited
spatiotemporal
resolution,
the
number
of
animals
that
can
be
observed
information
about
animals'
social
physical
environments.
Video
imagery
capture
rich
their
but
image‐based
approaches
often
impractical
due
to
challenges
processing
large
complex
multi‐image
datasets
transforming
resulting
data,
locations,
into
geographical
coordinates.
We
demonstrate
a
new
system
studying
wild
uses
drone‐recorded
videos
computer
vision
automatically
track
location
body
posture
free‐roaming
georeferenced
coordinates
with
high
resolution
embedded
contemporaneous
3D
landscape
models
surrounding
area.
provide
two
worked
examples
which
we
apply
this
approach
gelada
monkeys
multiple
species
group‐living
African
ungulates.
how
simultaneously,
classify
individuals
by
age–sex
class,
estimate
individuals'
postures
(poses)
extract
environmental
features,
including
topography
trails.
By
quantifying
movement
while
reconstructing
detailed
model
landscape,
our
opens
door
sensory
ecology
decision‐making
within
Biological reviews/Biological reviews of the Cambridge Philosophical Society,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 17, 2025
ABSTRACT
Camera
traps
are
widely
used
in
wildlife
research
and
monitoring,
so
it
is
imperative
to
understand
their
strengths,
limitations,
potential
for
increasing
impact.
We
investigated
a
decade
of
use
cameras
(2012–2022)
with
case
study
on
Australian
terrestrial
vertebrates
using
multifaceted
approach.
(
i
)
synthesised
information
from
literature
review;
ii
conducted
an
online
questionnaire
132
professionals;
iii
hosted
in‐person
workshop
28
leading
experts
representing
academia,
non‐governmental
organisations
(NGOs),
government;
iv
mapped
camera
trap
usage
based
all
sources.
predicted
that
the
last
would
have
shown:
exponentially
sampling
effort,
continuation
trends
up
2012;
analytics
shifted
naive
presence/absence
capture
rates
towards
hierarchical
modelling
accounts
imperfect
detection,
thereby
improving
quality
outputs
inferences
occupancy,
abundance,
density;
broader
scales
terms
multi‐species,
multi‐site
multi‐year
studies.
However,
results
showed
effort
has
reached
plateau,
publication
only
modestly.
Users
reported
reaching
saturation
point
images
could
be
processed
by
humans
time
complex
analyses
academic
writing.
There
were
strong
taxonomic
geographic
biases
medium–large
mammals
(>500
g)
forests
along
Australia's
southeastern
coastlines,
reflecting
proximity
major
cities.
Regarding
analytical
choices,
bias‐prone
indices
still
accounted
~50%
this
was
consistent
across
user
groups.
Multi‐species,
multiple‐year
studies
rare,
largely
driven
hesitancy
around
collaboration
data
sharing.
no
repository
Atlas
Living
Australia
(ALA)
dominant
sharing
tabular
occurrence
records.
ALA
presence‐only
thus
unsuitable
creating
detection
histories
absences,
inhibiting
modelling.
Workshop
discussions
identified
pressing
need
enhance
efficiency,
scale
management
outcomes,
proposal
Wildlife
Observatory
(WildObs).
To
encourage
standards
sharing,
WildObs
should
promote
metadata
collection
app;
create
tagged
image
facilitate
artificial
intelligence/machine
learning
(AI/ML)
computer
vision
space;
address
identification
bottleneck
via
AI/ML‐powered
image‐processing
platforms;
commons
suitable
modelling;
v
provide
capacity
building
tools
Our
review
highlights
while
investments
monitoring
biodiversity
position
global
leader
context,
realising
requires
paradigm
shift
best
practices
collecting,
curating,
analysing
‘Big
Data’.
findings
framework
broad
applicability
outside
meet
conservation
objectives
ranging
local
scales.
This
articulates
country/continental
observatory
approach
also
international
collaborative
networks.
Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
13(3)
Published: March 1, 2023
Ecological
research
is
undergoing
a
substantial
transformation.
Camera
trapping—"capturing"
photograph
remotely,
allowing
observation
of
wildlife
separately
from
the
observer—has
been
around
for
over
century.
However,
it
emerged
as
substantive
mode
sampling
occurrence
only
about
three
decades
ago
(Kucera
&
Barrett,
2011;
O'Connell
et
al.,
2011)
and
now
rapidly
improving
innovating,
changing
face
ecology
(Burton
2015).
With
repeated
made
possible
across
space
time,
limited
by
logistics
resources,
observations
can
be
gathered
analyzed
at
unprecedented
spatial
temporal
scales.
engineering
relatively
inexpensive
camera
models
that
do
not
require
costly
support
systems
(such
those
needed
satellite
telemetry),
traps
also
serve
to
democratize
research.
trapping
has
consequently
spread
global
south
developing
countries
(Agha
2018;
Cremonesi
2021;
Galindo-Aguilar
2022).
Many
private
citizens
run
their
own
traps;
networking
these
citizen
scientists
have
yielded
great
insights
will
continue
so
(McShea
2016).
are
being
employed
Indigenous
peoples
ask
questions
on
traditional
territories
(Artelle
Fisher
2021),
an
important
step
towards
meeting
principles
United
Nations
Declaration
Rights
Peoples
(Gilbert,
2007).
Camera-trap
spans
ecological
hierarchy,
with
applications
animal
behavior
(Caravaggi
2017,
2020)
such
diel
activity
(Frey
2017;
Rowcliffe
2014),
populations
(Bischof
2020;
Gardner
2010),
species'
distributions
(Rich
Tobler
2015),
communities
(Ahumada
Wittische
2021).
adequate
inferential
logic
analysis,
more
complex
processes
species
interactions
discerned
(Beirne
Clare
2016;
Niedballa
2019).
The
field
rich
planting
seeds
new
ideas.
In
fact,
though
largely
used
mammals,
expanding
taxonomically
include
vegetation
(Seyednasrollah
2019;
Sun
herptiles
(Moore
Welbourne
2020),
avifauna
(Jachowski
2015;
Murphy
2018).
Software
advanced
in-step
hardware.
Converting
images
numerical
data
easier
custom
software,
much
open-source
(Greenberg
Young
Processes
automatic
identification
developed
greatly
speed
up
image
classification
process
"big
data"
(Duggan
Shepley
Conceptual
advances,
frameworks
understanding
how
detections
sample
underlying
processes,
paving
way
sophisticated
(Glover-Kapfer
Hofmeester
Tremendous
discoveries
lay
in
future.
Networking
arrays
different
landscapes—even
globally,
similar
weather
networks
(Steenweg
2017)—will
allow
macroecological
scale
never
before
(Chen
2022;
Magle
Rich
2017).
Notwithstanding,
await
small
focal
studies
too—these
foundations
inference.
We
endeavors
Ecology
Evolution's
section
Trapping
Ecology.
journal's
mandate
author-friendly,
without
gatekeeping
assessments
importance
barrier,
makes
us
place
welcomes
both
small-scale
autecological
large-scale
syntheses.
This
philosophy
help
authors
work
read
scientific
community—we
believe
this
Section
goal.
first
volume
featured
its
camera-trapping
study
(Fisher
2011),
paper
desk-rejected
several
other
journals
"interesting
but
improbable"
among
fare.
Editorial
team
gave
chance,
100
citations
later,
continues
stimulate
debate
(Stuber
Fontaine,
Since
then,
we
published
s
camera-trap
studies.
eagerly
anticipating
many
papers
dedicated
Section,
Evolution
plans
forefront
proliferation
research,
platform
thought
debate.
Jason
Thomas
Fisher:
Conceptualization
(equal);
writing
–
original
draft
(equal).
None.
No
available.
Ecological Solutions and Evidence,
Journal Year:
2023,
Volume and Issue:
4(2)
Published: April 1, 2023
Abstract
Forest
harvesting
causes
habitat
loss
and
alteration
can
change
predator–prey
dynamics.
In
Canada,
forest
has
shifted
the
distribution
abundance
of
ungulates
(deer,
elk
moose)
that
prefer
early
seral
forest,
resulting
in
unsustainable
caribou
predation
by
shared
predators
(bears,
cougars
wolves).
Long‐term
solutions
for
recovery
require
management
to
reduce
ungulate
prey
species
within
ranges.
Silviculture
practices
applied
after
directly
affect
amount
forage
available
harvested
areas,
therefore
influence
distribution,
but
few
studies
have
completed
detailed
assessments
on
how
specific
treatments
site
preparation,
planting
stand
tending
use
harvest
blocks.
We
used
camera
traps,
silviculture
data,
GIS‐derived
disturbance
vegetation
data
collected
at
field
sites
investigate
occurrence
blocks
west‐central
Alberta,
Canada.
compared
seasonal
investigated
site‐specific
characteristics,
surrounding
density,
fine‐scale
influenced
Deer,
moose
was
higher
summer
winter.
Elk,
white‐tailed
deer
with
greater
availability
species.
Moose
a
lower
road
density
area,
further
from
seismic
lines
proportion
area.
younger
Mule
densities
lodgepole
pine,
mule
also
had
been
tended.
Our
study
provides
information
response
methods
linking
wildlife
forestry
practices,
providing
practical
scientific
inform
sustainable
forestry.
Translating
this
research
into
landscape
decisions
could
benefit
boreal
biodiversity,
including
threatened
like
caribou,
culturally
economically
important
deer,
moose.
Global Ecology and Conservation,
Journal Year:
2022,
Volume and Issue:
38, P. e02268 - e02268
Published: Aug. 18, 2022
Population
monitoring
is
critical
to
wildlife
conservation,
but
density
estimation
difficult
for
wide-ranging,
unmarked
species
inhabiting
remote
habitats.
Furthermore,
recent
investigations
into
with
camera
trap
data
has
revealed
models
be
potentially
unreliable,
prompting
cautious
application
and
continued
model
development.
Two
related
approaches
increasing
appeal
include
spatial
count
(SC),
which
infer
latent
identities
from
the
pattern
of
detections,
partial
identity
(SPIM),
additionally
leverage
covariates
(e.g.,
sex,
antler
point
count,
presence
GPS/radio
collar).
To
assess
performance
models,
we
applied
SC
SPIM
threatened
boreal
caribou
in
Canada,
are
declining
have
few
rigorous
estimates
across
their
broad
distribution
inform
conservation
efforts.
In
particular,
focused
on
two
spatially
proximate
ranges
northern
Alberta,
Canada
that
differ
estimated
demographic
trends,
disturbance
histories,
abundances
predators
apparent
competitors.
Estimates
varied
over
a
4
year
period
(2016
–
2019),
were
higher
region
more
stable
reported
growth
rates
less
anthropogenic
(mode
estimates:
155
225/1000
km2
vs.
19
96/1000
km2).
However,
differed
by
modeling
approach
had
low
variable
precision,
hindering
inferences
about
population
status
trajectories.
Simulations
suggest
may
been
biased
precise.
likely
underestimated
mistaking
detections
neighboring
individuals
as
recaptures
single
individual,
although
also
overestimated
inflating
assignment
probabilities
non-existent
individuals.
Findings
highlight
need
explore
how
grouping
dynamics
non-independent
movement
violate
assumptions
reduce
ability
distinguish
We
advocate
investigation
accuracy
approaches,
ecological
sampling
conditions
appropriate
different
coordination
efforts
analyses
improve
inferences.
Journal of Applied Ecology,
Journal Year:
2021,
Volume and Issue:
58(12), P. 2821 - 2832
Published: Sept. 7, 2021
Abstract
The
restoration
of
habitats
degraded
by
industrial
disturbance
is
essential
for
achieving
conservation
objectives
in
disturbed
landscapes.
In
boreal
ecosystems,
disturbances
from
seismic
exploration
lines
and
other
linear
features
have
adversely
affected
biodiversity,
most
notably
leading
to
declines
threatened
woodland
caribou.
Large‐scale
needed,
yet
empirical
assessments
effectiveness
on
wildlife
communities
remain
rare.
We
used
73
camera
trap
deployments
2015
2019
joint
species
distribution
models
investigate
how
habitat
use
the
larger
vertebrate
community
(>0.2
kg)
responded
variation
key
line
characteristics
(line‐of‐sight,
width,
density
mounding)
following
treatments
a
landscape
oil
gas
development
northeastern
Alberta.
proportion
explained
was
low
comparison
type
season,
suggesting
short‐term
responses
were
relatively
weak.
However,
we
found
that
with
consistent
restored
conditions
predicted
support
an
altered
composition,
reduced
wolf
coyote,
thereby
indicating
will
result
contact
rates
between
caribou
these
predators.
Synthesis
applications
.
Our
analysis
provides
framework
assess
predict
emerging
efforts.
With
growing
importance
species,
recommend
longer‐term
monitoring
combined
landscape‐scale
comparisons
different
approaches
more
fully
understand
direct
critical
investments.
Only
combining
rigorous
multispecies
large‐scale
restoration,
effectively
conserve
biodiversity
within
rapidly
changing
environments.