The
level
of
residents'
perception
ecosystem
services
(ES)
is
a
key
factor
in
assessing
the
effectiveness
ecological
governance,
especially
for
protection
and
high-quality
development
Yellow
River
Basin
(YRB).
However,
existing
research
has
not
been
effective
revealing
match
between
supply
ES
basin
perceptions
local
people.
In
order
to
address
this
gap,
paper
develops
database
on
individual
satisfaction
YRB
at
city
scale,
constructs
method
reveal
"supply-perception"
matching
mechanism
based
subjective
objective
perspectives,
proposes
four-quadrant
classification
governance
strategy
scale.
results
show
that:
(1)
Different
levels
exist
various
YRB,
there
spatial
clustering
provisioning
regulating
services.
(2)
Residents'
with
are
varied:
>
cultural
Only
significant
positive
correlation,
while
more
dispersed.
(3)
shows
some
trade-offs
synergistic
relationships,
but
only
relationship
exists
perceptions.
addition,
correlation
provision
was
(4)
There
mismatch
satisfaction,
cities
ranging
from
15
24
(38.46%
61.54%).
indicate
that
most
cities,
effectively
perceived
by
residents,
these
findings,
we
design
adaptive
strategies
different
urban
around
two
dimensions:
findings
provide
feasible
reference
formulating
implementing
tailored
coordinated
human
geographic
development,
which
contributes
sustainable
YRB.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e32006 - e32006
Published: May 28, 2024
Establishing
ecological
management
zones
based
on
the
supply-demand
relationship
of
ecosystem
services
(ESs)
is
essential
for
fostering
sustainable
development
within
social-ecological
systems
and
improving
human
well-being.
In
this
study,
spatial
pattern
between
supply
demand
in
five
ESs
(grain
production
(GP),
carbon
sequestration
(CS),
soil
conservation
(SC),
water
(WC),
habitat
quality
(HQ))
analyzed
using
ratio
(ESDR)
method,
autocorrelation
coupled
coordination
degree
model.
Zoning
performed
according
to
differences
their
combinations,
differential
zoning
policies
are
proposed.
The
following
results
were
obtained:
(1)
terms
ESDR,
except
a
slight
increase
GP
surplus
from
2010
2020,
there
decline
other
four
ESs.
(2)
CS,
WC,
HQ
dominated
by
cluster
types
LH
HL.
SC
HH
LL.
average
value
coupling
(CCD)
comprehensive
show
types:
moderate
disharmony,
near
basic
coordination,
coordination.
(3)
Based
multiple
heterogeneity
demand,
differentiated
strategies
proposed
at
grid
scale.
Overall,
study
discover
mismatch
mountainous
urban
areas.
This
contribution
enhances
discourse
surrounding
theory
advances
research
systems.
Furthermore,
it
offers
valuable
insights
formulation
tailored
settings.
Ecohydrology,
Journal Year:
2025,
Volume and Issue:
18(1)
Published: Jan. 1, 2025
ABSTRACT
Understanding
the
supply–demand
matching
and
trade‐offs
of
ecosystem
services
is
crucial
for
formulating
land
use
policies.
However,
there
remains
a
lack
clear
understanding
on
how
to
coordinate
mismatch
under
different
future
scenarios.
In
examining
Hanjiang
River
Basin
(HJRB),
this
study
utilizes
PLUS
InVEST
models
evaluate
present
spatiotemporal
changes
in
water
yield
(WY),
carbon
storage
(CS)
food
provision
(FP)
within
water–energy–food
nexus
context.
It
further
explores
patterns
correlation
analysis
WEF
across
varying
The
findings
suggest
following:
(1)
Between
2000
2020,
was
notable
rise
both
forest
built‐up
land.
Compared
year
cropland
protection
scenario
(CPS),
increased
by
2.19%.
ecological
(EPS),
area
significantly
4.06%.
natural
growth
(NGS),
largest
increase
observed
construction
land,
which
expanded
26.31%.
(2)
Land
cover
change
(LUCC)
has
limited
impact
supply,
accounting
about
1%.
From
WY
CS's
ESDR
exhibited
‘decrease‐followed‐by‐increase’
trend,
while
FP's
gradually
increased,
with
only
mismatched
between
supply
demand
decreasing.
(3)
Unlike
grid
scale,
at
county/city
scale
intense
LUCC
will
alter
synergy
nexus.
Additionally,
exists
pronounced
spatial
misalignment
CS
WY.
Therefore,
can
provide
comprehensive
reference
planning
aimed
achieving
coordinated
development
humans
nature.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(3), P. 489 - 489
Published: Jan. 30, 2025
The
degradation
of
ecosystem
services
(ES)
poses
a
significant
obstacle
to
regional
sustainable
development.
Land-use
change
is
widely
recognized
as
pivotal
factor
driving
the
spatio-temporal
dynamics
ES
supply
and
demand.
However,
future
impact
land-use
changes
on
supply–demand
risks
remains
largely
unknown.
To
fill
this
knowledge
gap,
we
conducted
study
in
Gansu
section
Yellow
River
Basin.
By
integrating
Cellular
Automata
(CA)
an
enhanced
Markov
model
within
GeoSOS-FLUS
framework,
dynamically
simulated
under
three
scenarios—the
Normal
Development
Scenario
(NDS),
Ecological
Protection
(EPS),
Rapid
Socio-economic
(RDS)—spanning
from
2020
2050.
Furthermore,
employed
InVEST
analyze
pattern
supply,
demand,
supply-to-demand
ratios,
for
water
provision,
carbon
storage,
soil
conservation
all
scenarios.
Firstly,
scenarios
project
increase
built-up
land,
primarily
unused
shrubland,
grassland,
cropland.
Forest
land
bodies
remain
stable.
Secondly,
provision
increases,
but
demand
grows
faster,
leading
imbalances,
with
high-risk
areas
north,
central,
east.
Soil
shows
balanced
north.
Carbon
storage
stable,
central
east
regions.
Thirdly,
scenarios,
particularly
scenario.
