Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(4), P. 566 - 566
Published: Feb. 7, 2025
Uncovering
the
intricate
relationships
within
realm
of
ecosystem
services
(ESs)
across
various
spatial
and
temporal
dimensions,
as
well
their
nonlinear
with
natural–social
factors,
is
a
fundamental
condition
for
regional
management.
This
study
focuses
on
Honghe
Prefecture,
Yunnan
Province,
it
quantifies
supply
ESs
at
grid
township
scales,
clarifies
interrelationships
among
influencing
elements,
proposes
cross-scale
ecological
management
strategies.
The
findings
indicate
following:
(1)
exhibited
variability.
In
last
20
years,
capacity
food
production
(FP)
increased
by
about
46%,
while
other
showed
downward
trend.
(2)
Synergistic
effects
primarily
occurred
between
WY,
habitat
quality
(HQ),
carbon
sequestration
(CS),
soil
conservation
(SC),
trade-off
mainly
took
place
FP
ESs.
(3)
Significant
dramatic
changes
in
service
bundles
were
observed
southern
mountainous
areas.
At
scale,
overall
area
integrated
bundle
declined
approximately
88%.
However,
proportion
HQ-CS
key
synergy
from
15.68%
to
40.60%.
Similar
patterns
trends
also
scale.
(4)
There
was
notable
reduction
comprehensive
index
(ESI)
southwest,
which
human
activities
climate
drought
factors
played
major
negative
driving
role,
some
had
threshold
ESI.
Existing
research
often
ignores
relationship
complex
spatiotemporal
dynamics
services.
Thus,
this
constructed
cognitive
framework
ES
status
perspective
“supply–interaction–driving–threshold”
ESs,
providing
more
understanding
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111932 - 111932
Published: March 1, 2024
Urbanization
is
a
key
factor
that
threatens
the
stability
of
ecosystem
services
(ESs),
which
are
crucial
for
maintaining
ecological
security
and
enhancing
human
quality
life.
Gaining
insight
into
spatiotemporal
differentiation
service
value
(ESV)
its
coupling
relationship
with
urbanization
issue
in
promoting
sustainable
regional
development.
We
employed
various
algorithms,
including
improved
equivalence
method,
random
forest
model,
mixed
geographically
temporally
weighted
regression
coordination
degree
(CCD)
to
reveal
evolution
ESV
driving
mechanisms
Lanzhou-Xining
urban
agglomeration
(LXUA)
from
1980
2020.
In
addition,
we
explored
between
combined
index
(CUI).
The
results
showed
following:
(1)
From
2020,
interannual
variation
first
decreased
then
increased,
an
increase
230
million
yuan/annum
2020
compared
1980.
Spatially,
exhibits
distribution
pattern
high
south
low
north,
west
east.
(2)
Land
use
intensity
(LUI)
elevation
contributed
values
exceeding
20%
were
most
important
drivers
ESV.
(3)
average
CCD
CUI
transitioned
being
severely
unbalanced
(0.19)
slightly
balanced
(0.42).
There
was
negative
spatial
correlation
CUI,
each
cluster
type
distributed
discretely
space.
Our
study
emphasizes
areas
characterized
by
robust
integrity
ESV,
LUI
constitutes
main
reason
decline
findings
this
can
provide
scientific
basis
coordinated
development
ESVs
LXUA
other
cities.