Proceedings of the National Academy of Sciences,
Journal Year:
2012,
Volume and Issue:
109(38), P. 15360 - 15365
Published: Sept. 4, 2012
Many
wildlife
species
face
imminent
extinction
because
of
human
impacts,
and
therefore,
a
prevailing
belief
is
that
some
species,
particularly
large
carnivores
ungulates,
cannot
coexist
with
people
at
fine
spatial
scales
(i.e.,
regularly
use
the
exact
same
point
locations).
This
provides
rationale
for
various
conservation
programs,
such
as
resettling
communities
outside
protected
areas.
However,
quantitative
information
on
capacity
mechanisms
to
humans
scarce.
Such
vital,
world
becoming
increasingly
crowded.
Here,
we
provide
empirical
about
tigers
(a
globally
endangered
species)
inside
Nepal’s
Chitwan
National
Park,
flagship
area
imperiled
wildlife.
Information
obtained
from
field
cameras
in
2010
2011
indicated
presence
foot
vehicles)
was
ubiquitous
abundant
throughout
study
site;
however,
tiger
density
also
high.
Surprisingly,
even
scale
camera
locations),
spatially
overlapped
vehicles
both
years.
years,
offset
their
temporal
activity
patterns
be
much
less
active
during
day
when
peaked.
In
addition
displacement,
tiger–human
coexistence
likely
enhanced
by
prey
low
levels
poaching.
Incorporating
fine-scale
into
plans
can
help
address
major
global
challenge—meeting
needs
while
sustaining
Methods in Ecology and Evolution,
Journal Year:
2013,
Volume and Issue:
5(12), P. 1269 - 1279
Published: July 24, 2013
Summary
The
past
decade
has
seen
an
explosion
in
the
development
and
application
of
models
aimed
at
estimating
species
occurrence
occupancy
dynamics
while
accounting
for
possible
non‐detection
or
misidentification.
We
discuss
some
recent
estimation
methods
biological
systems
that
motivated
their
development.
Collectively,
these
offer
tremendous
flexibility,
but
simultaneously
place
added
demands
on
investigator.
Unlike
many
mark–recapture
scenarios,
investigators
utilizing
have
ability,
responsibility,
to
define
sample
units
(i.e.
sites),
replicate
sampling
occasions,
time
period
over
which
is
assumed
be
static
even
criteria
constitute
‘detection’
a
target
species.
Subsequent
inference
interpretation
model
parameters
depend
definitions
ability
meet
assumptions.
demonstrate
relevance
by
highlighting
applications
from
single
system
(an
amphibian–pathogen
system)
situations
where
use
been
criticized.
Finally,
we
suggest
future
research
Ecosphere,
Journal Year:
2012,
Volume and Issue:
3(4), P. 1 - 15
Published: April 1, 2012
The
probability
that
a
site
has
at
least
one
individual
of
species
(‘occupancy')
come
to
be
widely
used
as
state
variable
for
animal
population
monitoring.
available
statistical
theory
estimation
when
detection
is
imperfect
applies
particularly
habitat
patches
or
islands,
although
it
also
arbitrary
plots
in
continuous
habitat.
such
plot
occupied
depends
on
size
and
home‐range
characteristics
(size,
shape
dispersion)
well
density.
Plot
critical
the
definition
occupancy
variable,
but
clear
advice
missing
from
literature
design
studies.
We
describe
models
effects
varying
expected
occupancy.
Temporal,
spatial,
variation
average
expected,
information
home
ranges
difficult
retrieve
presence/absence
data
collected
effect
negligible
are
very
large
(>100
×
area
range),
pose
practical
problems.
At
other
extreme,
sampling
‘point'
with
cameras
passive
detectors
allows
true
‘proportion
occupied'
estimated.
However,
this
measure
equally
reflects
density,
doubtful
value
monitoring
cross‐species
comparisons.
ill‐defined
studies
detect
animals
unknown
distances,
commonest
example
being
unlimited‐radius
point
counts
song
birds.
find
recent
treatments
“multi‐scale”
occupancy;
respective
scales
better
interpreted
temporal
(instantaneous
asymptotic)
rather
than
spatial.
Occupancy
an
inadequate
metric
confounded
distance.
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2017,
Volume and Issue:
284(1848), P. 20161860 - 20161860
Published: Feb. 8, 2017
Species
within
a
guild
vary
their
use
of
time,
space
and
resources,
thereby
enabling
sympatry.
As
intra-guild
competition
intensifies,
such
behavioural
adaptations
may
become
prominent.
We
assessed
mechanisms
facilitating
sympatry
among
dhole
(
Cuon
alpinus
),
leopard
Panthera
pardus
)
tiger
tigris
in
tropical
forests
India
using
camera-trap
surveys.
examined
population-level
temporal,
spatial
spatio-temporal
segregation
them
across
four
reserves
representing
gradient
carnivore
prey
densities.
Temporal
overlaps
were
higher
at
lower
Combined
overlap
was
minimal,
possibly
due
to
chance.
found
fine-scale
avoidance
behaviours
one
high-density
reserve.
Our
results
suggest
that:
(i)
patterns
spatial,
temporal
sympatric
carnivores
do
not
necessarily
mirror
each
other;
(ii)
are
likely
adopt
as
alternative
facilitate
sympatry;
(iii)
show
adaptability
resource
availability,
driver
inter-species
competition.
discuss
that
permit
co-occupy
rather
than
dominate
functional
niches,
varying
intensities
shape
structure
dynamics
guilds.
African Journal of Ecology,
Journal Year:
2018,
Volume and Issue:
56(4), P. 740 - 749
Published: Nov. 29, 2018
Abstract
Camera
traps
are
increasingly
used
to
study
wildlife
ecology
and
inform
conservation,
but
valid
inference
depends
on
appropriate
data
analysis.
This
article
introduces
the
most
common
analytical
approaches
for
camera‐trap
data.
generally
as
point‐based
sampling
devices,
many
methods
require
spatial
independence
of
stations
temporal
subsequent
records.
Photographic
rates
species
should
be
interpreted
with
care,
because
they
confound
abundance/use
detectability.
Occupancy
models
estimate
occurrence
while
accounting
imperfect
detection
can
reveal
species–habitat
associations.
Capture–recapture
abundance
probability
from
individual
detection/nondetection
applicable
individually
recognizable
species.
Spatial
capture–recapture
extends
this
framework
by
animal
movement
location
relative
trap
array.
is
particularly
useful
often
wide‐ranging
typically
studied
camera
presents
possibilities
modelling
population
processes.
Several
have
been
developed
that
cannot
identified;
all
heavily
rely
model
assumptions.
Finally,
time
stamps
records
describe
activity
pattern
interactions
between
Considering
usefulness
trapping,
we
expect
ongoing
development
Ecology,
Journal Year:
2012,
Volume and Issue:
94(4), P. 801 - 808
Published: Nov. 21, 2012
Since
its
development,
occupancy
modeling
has
become
a
popular
and
useful
tool
for
ecologists
wishing
to
learn
about
the
dynamics
of
species
occurrence
over
time
space.
Such
models
require
presence–absence
data
be
collected
at
spatially
indexed
survey
units.
However,
only
recently
have
researchers
recognized
need
correct
induced
overdisperison
by
explicitly
accounting
spatial
autocorrelation
in
probability.
Previous
efforts
incorporate
such
largely
focused
on
logit‐normal
formulations
occupancy,
with
random
effect
within
hierarchical
framework.
Although
useful,
computational
generally
limits
an
approach
relatively
small
sets,
there
are
often
problems
algorithm
instability,
yielding
unsatisfactory
results.
Further,
recent
research
revealed
hidden
form
multicollinearity
applications,
which
may
lead
parameter
bias
if
not
addressed.
Combining
several
techniques,
we
present
unifying
model
specification
that
is
particularly
effective
large
extents.
This
employs
probit
mixture
framework
can
easily
accommodate
reduced‐dimensional
process
resolve
issues
confounding
while
improving
convergence.
Using
open‐source
software,
demonstrate
this
new
using
case
study
involving
caribou
(
Rangifer
tarandus
)
set
1080
units
spanning
contiguous
region
(108
000
km
2
northern
Ontario,
Canada.
Overall,
combination
more
efficient
software
allows
facile
stable
implementation
sets.
Methods in Ecology and Evolution,
Journal Year:
2016,
Volume and Issue:
7(11), P. 1340 - 1348
Published: June 3, 2016
Summary
Conservation
of
threatened
species
relies
on
predictions
about
their
spatial
distribution;
however,
it
is
often
difficult
to
detect
in
the
wild.
The
combination
acoustic
monitoring
improve
detectability
and
statistical
methods
account
for
false‐negative
detections
can
distribution
estimates.
Here,
we
combine
a
novel
automated
species‐specific
identification
approach
with
occupancy
models
that
imperfect
provide
more
accurate
map
Elfin
Woods
Warbler
Setophaga
angelae
,
rare,
elusive
bird
species.
We
also
compared
three
identification/validation
approaches
determine
which
provided
estimates
similar
manual
validation
all
recordings.
Acoustic
data
were
collected
along
elevational
gradients
(95–1074
m
a.s.l)
El
Yunque
National
Forest,
Puerto
Rico.
detection
matrices
acquired
through
validations
recordings
used
create
models.
Although
this
has
wider
than
previously
reported,
depends
Palo
Colorado
forest
cover
mainly
occurs
between
600
900
a.s.l.
Unbiased
precise
developed
by
using
only
manually
validating
4%
Our
draws
strength
two
active
areas
ecological
research:
modelling.
an
effective
efficient
way
translate
enormous
amount
information
passive
devices
into
meaningful
be
applied
understand
Ecology,
Journal Year:
2014,
Volume and Issue:
96(2), P. 332 - 339
Published: Nov. 17, 2014
The
occurrence
of
false
positive
detections
in
presence-absence
data,
even
when
they
occur
infrequently,
can
lead
to
severe
bias
estimating
species
occupancy
patterns.
Building
upon
previous
efforts
account
for
this
source
observational
error,
we
established
a
general
framework
model
positives
studies
and
extend
existing
modeling
approaches
encompass
broader
range
sampling
designs.
Specifically,
identified
three
common
designs
that
are
likely
cover
most
scenarios
encountered
by
researchers.
different
all
included
ambiguous
detections,
as
well
some
known-truth
but
their
differed
the
level
hierarchy
at
which
information
was
incorporated
(site
or
observation
level).
For
each
model,
provide
likelihood,
R
BUGS
code
needed
implementation.
We
also
establish
clear
terminology
guidance
help
choosing
appropriate
design
approach.