Sustainability,
Journal Year:
2023,
Volume and Issue:
15(12), P. 9689 - 9689
Published: June 16, 2023
The
Taohe
River
Basin
is
an
essential
ecological
function
area
in
the
upper
reaches
of
Yellow
River.
Understanding
intricate
trade-offs
and
synergies
between
ecosystem
services
(ESs)
exploring
impact
different
factors
are
for
achieving
win–win
outcomes
management
socioeconomic
development.
role
on
relationship
ESs,
nevertheless,
more
challenging
to
spatialize.
This
study
used
models
estimate
net
primary
productivity
(NPP),
water
yield
(WY),
soil
conservation
(SC),
analyzed
Ess.
spatial
heterogeneity
effects
natural
social
relationships
Ess
was
explored
using
a
geographic
detector
multi-scale
geographically
weighted
regression
(MGWR)
model.
results
show
that:
(1)
NPP,
WY,
SC
all
exhibit
rising
trend,
with
multi-year
averages
488.99
gC/m2,
157.29
mm,
1441.51
t/hm2,
respectively;
(2)
NPP–WY
NPP–SC
majority
regions,
while
WY–SC
primarily
synergistic
middle
reaches,
they
have
highest
percentage
cropland,
forest,
grassland;
(3)
precipitation
(PRE)
has
greatest
trade-off
gross
domestic
product
(GDP),
population
density
(POP),
distance
from
cropland
(CROP)
determining
synergy
NPP
WY
lower
Loess
Plateau
cropping
sector.
PRE,
digital
elevation
model
(DEM),
CROP
affecting
WY–SC.
may
serve
as
reference
examining
evolutionary
mechanism
underlying
ESs
provide
scientific
basis
future
environmental
protection
regional
land
Basin.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(20), P. 4976 - 4976
Published: Oct. 16, 2023
Ecosystem
services
(ESs)
serve
as
a
fundamental
cornerstone
for
upholding
global
biodiversity
and
promoting
human
well-being.
ESs
trade-off
synergy
are
supposed
to
be
significantly
affected
by
climate
change
(CC)
land
use/cover
(LULC).
However,
the
limited
availability
of
finely
classified
future
land-use
data
integrated
landscape
models
incorporating
scenarios
has
hindered
our
understanding
synergistic
patterns
controls
at
multiple
scales,
particularly
in
arid
areas.
Here,
multi-scenario
trade-off/collaborative
assessment
framework
(SD-PLUS-InVEST
model)
multi-scale
conversion
refined
classification
was
developed
coupling
patch-generated
simulation
(PLUS)
model,
system
dynamics
(SD)
InVEST
geographically
weighted
regression
(GWR)
optimal
parameter
geographical
detector
(OPGD)
structural
equation
model
(SEM).
The
four
ESs,
namely
carbon
storage
(CS),
habitat
quality
(HQ),
water
conservation
(WC),
soil
(SC),
were
assessed.
Further,
evaluated
under
different
development
(i.e.,
SSP1-2.6
ecological
protection
scenario,
SSP1-2.6-EP;
SSP2-4.5
natural
SSP2-4.5-ND;
SSP5-8.5
economic
growth
SSP5-8.5-EG).
results
demonstrated
that
region
northwest
China
(ANWC)
experiencing
significant
continuous
warming
trend
accompanied
increased
humidity.
There
will
decrease
areas
occupied
paddy
fields,
forests,
permanent
glaciers
among
24
LULC
types.
Conversely,
there
substantial
increase
dry
land,
high-coverage
grassland,
urban
construction
According
SSP1-2.6-EP,
SSP2-4.5-ND,
SSP5-8.5-EG
scenarios,
comprehensive
dynamic
degrees
estimated
reach
2.58%,
4.08%,
4.74%,
respectively.
resulting
from
CC
exacerbates
differences
ANWC.
In
particular,
CS
HQ
experience
reductions
2100.
WC
SC
show
notable
increases
during
same
period.
changes
CS,
HQ,
WC,
11.36
×
108
m3,
1735.25
t,
−1.29
−0.009,
ANWC
display
relationship.
This
is
influenced
heterogeneous
spatial
distribution
SC,
with
strongest
observed
between
weakest
WC.
Interestingly,
amplified
watershed,
county,
grid
scales
mountainous
areas,
most
detection
differentiation
occurring
scale.
Furthermore,
heterogeneity
can
attributed
various
factors.
These
factors
include
drought
index
(q
=
0.378),
annual
average
precipitation
0.375),
density
0.095),
vegetation
coverage
0.262),
bulk
0.077).
Our
highlight
importance
influencing
ESs.
variations
trade-offs
coordination
pronounced
underscore
need
prioritize
regions
terms
policy
making.
