Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 709 - 709
Published: March 26, 2025
Urban
agglomeration
ecosystems
are
impacted
by
human
activities
and
natural
disasters,
so
analyzing
the
spatial
temporal
evolution
of
landscape
ecological
resilience
from
perspective
adaptive
cycling
is
crucial.
Using
Changsha–Zhuzhou–Xiangtan
urban
in
China
as
a
case
study,
this
research
constructs
“Risk-Potential-Connectivity”
framework
to
evaluate
resilience.
This
applies
exploratory
data
analysis
methods
examine
spatiotemporal
associated
patterns
Geodetector
model
measure
driving
factors
variation.
study
an
cycle
based
on
analysis,
integrating
potential
connectivity
indices
classify
development
stages
regions
dynamically.
The
results
showed
that
overall
distribution
pattern
risk
decreased
center
outward,
whereas
increased.
average
index
2000
2020
was
0.31,
with
declining
trend
shifting
gravity
northwest
southeast.
toughness
exhibited
high
low
aggregation,
Moran
greater
than
0.75.
Land-use
intensity
had
strongest
explanatory
power
(q
=
0.3662)
for
differentiation
drivers
joint
effects
factor
interaction
higher
single
factors.
Adaptive
revealed
Furong
District
protection
stage,
Xiangtan
County
Liling
City
reorganization
no
region
yet
release
stage.
findings
offer
better
understanding
interactive
adaptation
characteristics
evolutionary
social-ecological
systems
over
extended
periods,
providing
scientific
support
formulation
strategies
respond
dynamic
changes
ecosystems.
