Ecological Informatics,
Journal Year:
2023,
Volume and Issue:
77, P. 102247 - 102247
Published: Aug. 6, 2023
Distribution
range
shift
is
inevitable
for
many
species
as
climate
change
continues
to
shape
and
alter
their
habitat.
Predicting
where
these
shifts
occur
can
help
us
know
what
anticipate
thus
design
better
programs
strategies
management.
Due
projected
extreme
in
arid
semi-arid
ecosystems,
we
hypothesized
that
adapted
systems
would
experience
considerable
spatial
shifts.
To
test
our
hypothesis,
modelled
current
future
habitats
under
different
scenarios
three
iconic
carnivores
(grey
wolf,
golden
jackal,
striped
hyaena)
central
of
Iran
calculated
overlaps.
Our
models
predict
although
each
responds
differently
environmental
changes,
are
heavily
influenced
by
climatic
variables,
water
resources,
roads.
also
suggest
the
high-quality
grey
wolves
hyaenas
will
probably
expand,
while
jackals,
it
decrease.
Significant
overlap
highly
suitable
habitat
exist
among
species,
particularly
between
jackal
hyaena.
The
overlapped
areas
all
cover
9%
10%
whole
region
at
present
future.
Because
decrease
rainfall
future,
may
face
competition
due
change.
findings
crucial
establishing
conservation
conserve
carnivore
Agricultural
Land
Suitability
Analysis
plays
a
pivotal
role
in
sustainable
land
use
planning,
aiding
decision-makers
identifying
areas
most
conducive
to
agriculture.
This
study
employs
systematic
approach
integrating
Analytical
Hierarchy
Process
and
Multi-Criteria
Decision
techniques
assess
prioritize
the
suitability
of
agricultural
Southern
Punjab
(Multan
region).
The
methodology
involves
defining
clear
objectives,
relevant
criteria
sub-criteria,
establishing
hierarchical
structure
conducting
pairwise
comparisons
determine
relative
importance
each
factor.
Our
outcomes
indicated
that
almost
43%
area
was
highly
suitable
for
agriculture,
27%
moderately
suitable,
16%
marginally
8%
less
6%
not
agriculture
area.
All
lands
had
silty
clay
or
type
soil,
which
sandy
loam
soil
Multan
region.
output
is
comprehensive
map
identifies
Sensitivity
analysis
validation
are
incorporated
enhance
robustness
reliability
results.
provides
valuable
tool
planners
policymakers
make
informed
decisions
regarding
allocation,
contributing
practices
resource
management.
PLoS ONE,
Journal Year:
2021,
Volume and Issue:
16(12), P. e0260031 - e0260031
Published: Dec. 31, 2021
Climate
change
is
expected
to
impact
a
large
number
of
organisms
in
many
ecosystems,
including
several
threatened
mammals.
A
better
understanding
climate
impacts
on
species
can
make
conservation
efforts
more
effective.
The
Himalayan
ibex
(Capra
sibirica)
and
blue
sheep
(Pseudois
nayaur)
are
economically
important
wild
ungulates
northern
Pakistan
because
they
sought-after
hunting
trophies.
However,
both
due
human-induced
factors,
these
factors
aggravate
under
changing
the
High
Himalayas.
In
this
study,
we
investigated
populations
Pamir-Karakoram
mountains
order
(i)
update
validate
their
geographical
distributions
through
empirical
data;
(ii)
understand
range
shifts
scenarios;
(iii)
predict
future
habitats
aid
long-term
planning.
Presence
records
target
were
collected
camera
trapping
sightings
field.
We
constructed
Maximum
Entropy
(MaxEnt)
model
presence
record
six
key
climatic
variables
current
sheep.
Two
representative
concentration
pathways
(4.5
8.5)
two-time
projections
(2050
2070)
used
for
predictions.
Our
results
indicated
that
ca.
37%
9%
total
study
area
(Gilgit-Baltistan)
was
suitable
conditions
sheep,
respectively.
Annual
mean
precipitation
determinant
habitat
ungulate
species.
Under
scenarios,
will
lose
significant
part
habitats,
particularly
Hindu
Kush
ranges.
ranges
serve
as
refugia
This
shall
remain
focus
protect
Pakistan's
mountain
ungulates.
Frontiers in Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 13, 2025
The
main
cause
of
the
global
threat
to
large
carnivore
populations
living
in
high-altitude
areas
is
human
pressure.
Himalayan
brown
bear
(
Ursus
arctos
isabellinus
,
hereafter
bear)
listed
as
a
critically
endangered
species,
and
it
dominates
higher
altitudes
North
Western
landscapes.
Here,
we
used
species
distribution
modelling
landscape
connectivity
find
bears’
suitable
habitats
corridors
Deosai
National
Park
(DNP)
surrounding
areas.
Species
models
detected
bear’s
habitat
1,125
km
2
which
ca.
73%
was
covered
by
DNP.
most
crucial
predictors
determining
were
elevation—particularly
if
between
3,500
4,500
meters
above
sea
level—as
well
distance
from
rivers,
cattle,
DNP
borders.
We
discovered
robust
among
presence
points
core
study
area,
particularly
within
boundaries,
using
electrical
circuit
theory
models.
Landscape
values
indeed
low
some
outside
close
confines.
Based
on
our
findings,
imperative
protect
that
allow
bears
migrate
patches,
beyond
park’s
improve
conservation.