Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 444 - 444
Published: Feb. 20, 2025
Identifying
ecological
functional
areas
by
clarifying
the
trade-off
synergies
of
multiple
ecosystem
services
to
meet
practical
needs
coordinating
different
in
a
specific
region
is
highly
important.
Based
on
InVEST,
RUSLE
and
other
models,
this
study
analyzed
tradeoff
five
typical
Wanjiang
Urban
Belt
from
1990
2020
using
Pearson
correlation
analysis,
self-organizing
map
(SOM)
carried
out
zoning.
The
PLUS
model
was
used
simulate
evolution
zones
2030.
results
revealed
that
(1)
2020,
water
yield
(WY),
soil
reservation
(SR),
food
production
(FP)
increased,
whereas
carbon
storage
(CS)
habitat
quality
(HQ)
decreased.
value
showed
pattern
“high
south
low
north”.
(2)
WY–SR,
WY–HQ,
HQ–CS,
HQ–SR
were
synergistic,
synergistic
relationship
weakening
trend.
There
trade-offs
WY–CS,
WY–FP,
SR–FP,
effects
increased
with
time.
(3)
area
divided
into
an
transition
area,
conservation
urban
development
restoration
agroecological
functions
structures
each
cluster
significantly
differed.
(4)
Under
natural
scenario,
scales
transition,
conservation,
increased.
cropland
protection
began
transform
areas.
transfer
restoration,
In
conclusion,
are
dominated
effects,
but
there
potential
risk
shifting
relationships.
future,
targeted
regional
optimization
measures
according
status
zone
urgently
needed
provide
references
for
territorial
space
management
control
region.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
146, P. 109891 - 109891
Published: Jan. 11, 2023
Understanding
the
mechanisms
that
influence
changes
in
ecosystem
services
(ESs)
is
critical
to
sustainable
management
of
ecosystems.
However,
existing
studies
ignore
different
importance
influencing
factors
ESs
periods
and
do
not
consider
spatiotemporal
heterogeneity
factors.
In
this
study,
we
first
quantified
six
for
Yangtze
River
Delta
(YRD)
Pearl
(PRD)
2000
2020
based
on
remote
sensing
data,
including
water
yield,
grain
production,
climate
regulation,
air
purification,
biodiversity,
recreation.
Then,
eight
were
selected
from
natural
human
perspectives,
random
forest
was
used
determine
level
ESs.
Finally,
GTWR
model
explore
spatial
temporal
differentiation
The
results
showed
variation
YRD
PRD
irregular
2020.
2000,
(forest,
topography,
climate)
dominated
regional
ESs,
while
(population,
economy,
activities)
gradually
replaced
dominance
multiple
significant,
interpret
ecological
implications
detail
propose
a
series
policy
recommendations.
study
could
provide
an
important
reference
scientific
guidance
enhance
sustainability
developed
regions.
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.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
158, P. 111520 - 111520
Published: Jan. 1, 2024
Mountainous
areas
have
obvious
spatial
differences
in
topography
and
climate,
which
could
further
cause
heterogeneity
of
ecosystem
service
(ES)
trade-offs.
The
characteristics
ES
trade-offs
had
been
extensively
studied,
however,
the
driving
mechanism
is
still
unclear
mountainous
areas.
Focusing
on
Hengduan
Mountain
region
(HDM)
southwest
China,
this
study
quantified
aggregation
effects
ESs
their
using
a
autocorrelation
analysis,
identified
dominant
drives
for
each
trade-off
across
various
geomorphological
climatic
zones.
In
terms
distribution,
significant
positive
correlation,
was
mainly
manifested
as
high-high
(H-H)
low-low
(L-L)
value
aggregations.
factors
some
differed
Land
use
type
main
factor
flat
paired
water
yield
(WY)
with
soil
conservation
(SC)
carbon
storage
(C).
plateau
(PLA)
mid-subtropical
(MS)
climate
zones,
were
land
types
WY
C,
respectively.
Temperature
higher
contribution
C
SC
For
other
trade-offs,
constant
different
normalized
difference
vegetation
index
(NDVI)
net
primary
productivity
(NPP)
between
habitat
quality
(HQ)
ESs,
those
among
multiple
drive,
influence
decreased
increase
topographic
relief.
Therefore,
attention
should
be
paid
to
ecological
change
future
urban
planning
development.
will
help
guide
zoning
regional
achieve
mountain
sustainable
