Carnivores
play
key
roles
in
maintaining
ecosystem
structure
and
function
as
well
ecological
processes.
Understanding
how
sympatric
species
coexist
natural
ecosystems
is
a
central
research
topic
community
ecology
biodiversity
conservation.
In
this
study,
we
explored
intra-
interspecific
niche
partitioning
along
spatial,
temporal,
dietary
between
apex
carnivores
(wolf
Canis
lupus
,
snow
leopard
Panthera
uncia
Eurasian
lynx
Lynx
)
mesocarnivores
(Pallas’s
cat
Otocolobus
manul
red
fox
Vulpes
vulpes
Tibetan
ferrilata
Qilian
Mountain
National
Park,
China
using
camera
trapping
data
DNA
metabarcoding
sequencing
data.
Our
study
showed
that
carnivore
had
more
overlap
temporally
(coefficients
of
ranging
from
0.661
to
0.900)
or
trophically
(Pianka’s
index
0.458
0.892),
mesocarnivore
high
with
each
other
0.945
0.997),
temporal
0.497
0.855).
Large
was
observed
wolf
index=0.892)
Pallas’s
index=0.997),
suggesting
the
potential
for
increased
resource
competition
these
pairs.
We
concluded
spatial
likely
driver
facilitating
coexistence
species,
while
facilitate
species.
findings
consider
across
dimensions
examining
diverse
patterns
China.
These
will
contribute
substantially
current
understanding
guilds
effective
conservation
management
fragile
alpine
ecosystems.
PLoS ONE,
Journal Year:
2023,
Volume and Issue:
18(7), P. e0286036 - e0286036
Published: July 28, 2023
Antarctic
krill
(
Euphausia
superba
)
is
a
key
species
of
the
Southern
Ocean,
impacted
by
climate
change
and
human
exploitation.
Understanding
how
these
changes
affect
distribution
abundance
crucial
for
generating
projections
Ocean
ecosystems.
Krill
growth
an
important
indicator
habitat
suitability
series
models
have
been
developed
used
to
examine
potential
at
different
spatial
temporal
scales.
The
available
using
range
empirical
mechanistic
approaches,
providing
alternative
perspectives
comparative
analyses
processes
influencing
growth.
Here
we
undertake
intercomparison
suite
understand
their
sensitivities
major
driving
variables.
This
illustrates
that
results
are
strongly
determined
model
structure
technical
characteristics,
data
on
which
they
were
validated.
Our
emphasize
importance
assessing
constraints
requirements
individual
ensure
appropriate
application.
study
also
demonstrates
value
development
modelling
approaches
identify
affecting
dynamics
krill.
Of
critical
appropriately
accounting
differences
in
estimates
food
availability
resulting
from
methods
observation.
We
suggest
approach
particularly
valuable
application
assessment
circumpolar
scales
future
projections.
As
another
result
intercomparison,
implementations
this
now
publicly
use
analyses.
Ecology and Evolution,
Journal Year:
2021,
Volume and Issue:
11(23), P. 17202 - 17218
Published: Nov. 18, 2021
Abstract
Assessing
species’
vulnerability
to
climate
change
is
a
prerequisite
for
developing
effective
strategies
reduce
emerging
climate‐related
threats.
We
used
the
maximum
entropy
algorithm
(MaxEnt
model)
assess
potential
changes
in
suitable
snow
leopard
(
Panthera
uncia
)
habitat
Qinghai
Province,
China,
under
mild
scenario.
Our
results
showed
that
area
of
Province
was
302,821
km
2
current
conditions
and
228,997
2050s
climatic
scenario,
with
mean
upward
shift
elevation
90
m.
At
present,
nature
reserves
protect
38.78%
currently
will
42.56%
future
habitat.
Current
areas
refugia
amounted
212,341
are
mainly
distributed
Sanjiangyuan
region,
Qilian
mountains,
surrounding
areas.
provide
valuable
information
formulating
meet
conservation
challenges
brought
on
by
stress.
suggest
efforts
should
focus
protecting
maintaining
or
building
corridors
when
planning
species
management.
Snow
leopards
(Panthera
uncia)
are
regarded
as
the
most
charismatic
apex
predator
in
alpine
Asia,
yet
their
populations
under
serious
threat
from
human
activities
and
habitat
fragmentation.
Ensuring
effectiveness
of
current
protected
areas
is
critical
for
conservation,
which
necessitates
a
comprehensive
understanding
selection
patterns
at
different
spatial
scales.
Here,
we
conducted
five-year
camera
trap
survey
snow
Qilian
Mountains
used
multi-scale
modelling
to
investigate
connectivity.
Our
results
revealed
scale-dependence
leopard
selection.
We
found
that
smaller
scales,
prey
resource
topographic
variables
were
main
factors
determining
leopards.
Particularly,
distribution
probability
primarily
determined
overall
small
scale.
At
larger
however,
there
was
stronger
correlation
between
climate
well
impacts.
The
scale-optimized
multivariate
models
indicated
significant
gaps
protecting
core
habitats
ensuring
landscape
More
than
50%
projected
patches
not
included
areas.
Areas
with
highest
number
(Subei
County)
corridors
(Tianjun
also
had
least
half
area
outside
study
provides
insights
conservation
planning
suggests
prioritizing
previously
overlooked
essential
corridors.
Molecular Ecology Resources,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 31, 2025
ABSTRACT
In
recent
years,
numerous
single
nucleotide
polymorphism
(SNP)
panel
methods
to
genotype
non‐invasive
faecal
samples
have
been
developed.
However,
none
of
these
existing
fit
all
the
criteria
necessary
make
a
SNP
broadly
usable
for
conservation
projects
in
any
country—cost
effective,
streamlined
lab
protocol
and
user‐friendly
open‐source
bioinformatics
protocols
design
analysis.
Here,
we
present
such
method
display
its
utility
by
developing
multiplex
PCR
conducting
individual
ID
snow
leopards,
Panthera
uncia
,
from
samples.
The
consists
144
SNPs
utilises
next‐generation
sequencing
technology.
We
validate
our
with
paired
tissue
zoo
individuals,
showing
minimum
96.7%
accuracy
allele
calls
per
run.
then
generate
data
235
field‐collected
across
Pakistan
show
that
can
reliably
identify
individuals
low‐quality
unknown
age
is
robust
contamination.
also
has
capability
first‐order
relatives
among
sampled
provides
insights
into
geographic
origin
This
will
empower
leopard
research
community
their
efforts
assess
local
global
population
sizes.
More
broadly,
development
be
used
species
interest
which
adequate
genomic
reference
available.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
ABSTRACT
Climate
change
is
significantly
altering
the
distribution
of
large
carnivores
and
their
primary
prey
species,
with
particular
emphasis
on
changing
in
high‐altitude
regions.
The
Qinghai‐Tibet
Plateau,
known
for
its
rich
biodiversity,
highly
sensitive
to
climate
change,
affecting
habitats
snow
leopards
(
Panthera
uncia
)
blue
sheep
Pseudois
nayaur
).
Our
study
identified
as
through
metagenomic
analysis
used
bioclimatic
data
Land
Use/Cover
Change
(LUCC)
information
model
habitat
suitability
under
three
scenarios
(RCP
2.6,
RCP
4.5,
8.5).
Projections
showed
that
4.5
8.5,
leopard
will
decrease
by
13.0%
23.4%,
while
38.3%
49.7%,
respectively.
These
are
expected
shift
higher
altitudes,
experiencing
a
more
significant
shift.
Based
these
findings,
we
recommend
adjusting
protected
area
boundaries
S1
(Ideal
range),
establishing
ecological
corridors
S2
(stepping
stone),
implementing
targeted
measures
mitigate
human‐wildlife
conflicts
S3
(potential
conflict
area).
To
protect
international
efforts
reduce
carbon
emissions,
cross‐administrative
cooperation,
community‐based
conservation
strategies
essential.
Ecosphere,
Journal Year:
2025,
Volume and Issue:
16(4)
Published: April 1, 2025
Abstract
Anthropogenic
climate
change
affects
biological
diversity
by
altering
their
suitable
habitat
ranges.
The
Himalayan
region
is
one
of
the
world's
most
sensitive
biodiversity
hotspots
to
global
change.
Chitwan
Annapurna
Landscape
(CHAL)
in
central
Himalayas
serves
as
a
vital
north–south
linkage
among
protected
areas
Nepal
and
provides
habitats
for
threatened
mammals
different
ecological
zones,
such
snow
leopards
(in
alpine
zone),
red
panda
temperate
one‐horned
rhinoceros
lowland
tropical
zone).
CHAL
land
use
alterations.
This
study
assessed
potential
impacts
cover
changes
on
above
three
key
employing
maximum
entropy
(MaxEnt)
modeling
predict
current
project
it
future
scenarios
under
greenhouse
gas
concentrations.
Further,
we
used
cellular
automata
Markov
Chain
models
simulate
temporal
spatial
CHAL.
Our
results
indicate
that
leopard
will
experience
more
significant
vulnerability
than
all
scenarios.
Approximately
36.3%
41.8%
32.5%
56%
are
projected
be
lost
2050
2070,
respectively,
representative
concentration
pathway
(RCP6.0).
Climate
refugia,
representing
2070
(under
RCP6.0)
CHAL,
958
km
2
(80.37%
range),
1052
(43.73%
2375
(58.21%
range)
rhinoceros,
panda,
leopard,
respectively.
Among
attributes
predicted
decrease
24%
2070.
findings
species
inhabiting
environments
susceptible
human‐induced
those
areas.
These
help
implement
adaptation
actions
crucial
addressing
conservation
challenges
arising
from
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 25, 2025
Climate
change
is
recognized
as
one
of
the
greatest
challenges
to
global
biodiversity.
The
endangered
snow
leopard
(Panthera
uncia),
an
apex
predator
in
high-altitude
mountain
ecosystems,
serves
important
indicator
ecological
health.
Understanding
impacts
climate
on
distribution
patterns
essential
for
developing
effective
conservation
strategies.
Based
BIOMOD2
model,
this
study
assesses
current
suitable
habitats
and
project
future
changes
under
various
scenarios,
well
evaluates
protection
gap
corridor
construction
Xinjiang
Uygur
Autonomous
Region,
China.
results
indicated
total
area
habitat
approximately
686,200
km2
conditions.
remains
relatively
stable
or
slightly
increases
low
emissions
while
predictions
show
a
gradual
decline
moderate
high
scenarios.
Currently,
are
fragmented,
with
connectivity
among
patches,
posing
threats
population.
Vulnerable
primarily
located
Altai,
northwestern
Junggar
Basin,
central
Tianshan
Mountains.
Potential
areas
projected
emerge
Kunlun
It
suggested
that
greater
focus
be
placed
unprotected
refugia,
enhancing
corridors,
fostering
cross-border
cooperation,
implementing
long-term
monitoring
efforts.
This
provides
valuable
insights
strategies
aimed
at
mitigating
populations
Xinjiang,
Carnivores
play
key
roles
in
maintaining
ecosystem
structure
and
function
as
well
ecological
processes.
Understanding
how
sympatric
species
coexist
natural
ecosystems
is
a
central
research
topic
community
ecology
biodiversity
conservation.
In
this
study,
we
explored
intra-
interspecific
niche
partitioning
along
spatial,
temporal,
dietary
between
apex
carnivores
(wolf
Canis
lupus
,
snow
leopard
Panthera
uncia
Eurasian
lynx
Lynx
)
mesocarnivores
(Pallas’s
cat
Otocolobus
manul
red
fox
Vulpes
vulpes
Tibetan
ferrilata
Qilian
Mountain
National
Park,
China,
using
camera
trapping
data
DNA
metabarcoding
sequencing
data.
Our
study
showed
that
carnivore
had
more
overlap
temporally
(coefficients
of
ranging
from
0.661
to
0.900)
or
trophically
(Pianka’s
index
0.458
0.892),
mesocarnivore
high
with
each
other
0.945
0.997),
temporal
0.497
0.855).
Large
was
observed
wolf
=
0.892)
Pallas’s
suggesting
the
potential
for
increased
resource
competition
these
pairs.
We
concluded
spatial
likely
driver
facilitating
coexistence
species,
while
facilitate
species.
findings
consider
across
dimensions
examining
diverse
patterns
China.
These
will
contribute
substantially
current
understanding
guilds
effective
conservation
management
fragile
alpine
ecosystems.