Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 21, 2023
Abstract
Context
Urban
landscapes
present
a
diverse
matrix
of
structures
and
habitats
containing
significant
physical
behavioural
barriers
to
terrestrial
wildlife
dispersal.
As
result,
large
mammals,
with
home
ranges,
may
be
negatively
impacted
as
are
created.
However,
our
understanding
these
in
the
context
genetic
connectivity
within
urbanising
is
limited,
particularly
so
for
herbivores
occupying
spaces.
Objective
We
investigated
effects
landscape
composition
on
differentiation
herbivorous
macropodid,
Eastern
grey
kangaroo
(
Macropus
giganteus
),
Sunshine
Coast
region
Australia.
tested
whether
gene
flow
this
rapidly
environment
was
best
explained
by
(Isolation-by-Resistance)
or
geographical
distances
(Isolation-by-Distance)
at
multiple
spatial
scales.
Methods
simulated
ecological
succession
from
n
=130),
datasets
=56)
determine
magnitude
relationships
between
observed
composition.
A
multiscale
design
used
assess
spatio-genetic
impacts
different
Circuit
theory
methods
were
simulate
successions
subsequently
infer
differentiations.
Results
Both
Isolation-by-Distance
Isolation-by-Resistance
interpopulation
12
surveyed
populations.
Genetic
primarily
vegetation
structures,
major
waterways,
roads
built
infrastructure.
Variables
scale-dependent,
biophysical
infrastructures
exhibiting
most
variability
across
Conclusion
Our
results
suggest
that
M.
populations
highly
dependent
structure
landscape,
influenced
anthropogenic
structures.
such,
emphasis
pathways
,
other
required
conservation
planning
preserve
under
urban
pressures.
The
findings
study
can
inform
spatially-guided
management
decisions
long-term
strategies
mammals
growing
pressures
worldwide.
Mammalia,
Год журнала:
2024,
Номер
88(5), С. 368 - 383
Опубликована: Май 9, 2024
Abstract
The
determination
of
suitable
habitats
and
roadkill
hotspots
allows
for
the
prioritization
areas
conservation
identification
road
sections
that
require
appropriate
planning
development.
Understanding
factors
influence
species’
presence
those
contributing
to
its
road-related
fatalities
is
crucial.
This
study
demonstrates
use
MaxEnt
modeling
map
potential
distribution
striped
hyaena
(
Hyaena
)
in
Batna
province
(East
Algeria)
using
occurrence
records
a
set
environmental
variables.
results
indicated
two
primary
variables
species
are
shrubland,
slope
with
contribution
37.5
30.2
%,
respectively,
followed
by
built-up
(12
%)
distance
roads
(7.2
%).
may
occupy
steep
terrain
shrubland
near
anthropized
areas.
Road
collisions
represent
threat
species,
28
documented
casualties
from
2010
2020
Batna.
kernel
density
estimation
revealed
an
important
hotspot
along
national
3
28.
represents
preliminary
step
wildlife
ecological
niche
management
Algeria.
