Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 3839 - 3839
Published: April 24, 2025
To
address
the
challenges
of
ecological
degradation
and
economic
imbalance
in
arid
zone
development,
this
study
took
oasis
region
Xinjiang
as
research
object.
A
multi-objective
optimization
model
was
constructed
based
on
ecosystem
service
value
(ESV)
(ECV),
NSGA-III
employed
to
optimize
land
use
structure
under
water
resource
constraints.
The
findings
indicate
following:
(1)
from
1990
2020,
benefits
increased
fivefold,
whereas
declined
by
6.7%,
showing
a
clear
divergence;
(2)
overall
regional
coordination
deteriorated,
with
expansion
significantly
encroaching
upon
space
certain
areas;
(3)
scenario,
balanced
development
strategy
12.3%,
enhanced
8.6%,
improved
15.4%,
demonstrating
that
optimizing
allocation
can
synergistically
enhance
both
while
ensuring
rational
resources
security.
This
not
only
reveals
squeezing
effect
functions
but
also
provides
scientific
decision-making
support
for
sustainable
regions
constraints,
holding
significant
theoretical
practical
implications.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 3839 - 3839
Published: April 24, 2025
To
address
the
challenges
of
ecological
degradation
and
economic
imbalance
in
arid
zone
development,
this
study
took
oasis
region
Xinjiang
as
research
object.
A
multi-objective
optimization
model
was
constructed
based
on
ecosystem
service
value
(ESV)
(ECV),
NSGA-III
employed
to
optimize
land
use
structure
under
water
resource
constraints.
The
findings
indicate
following:
(1)
from
1990
2020,
benefits
increased
fivefold,
whereas
declined
by
6.7%,
showing
a
clear
divergence;
(2)
overall
regional
coordination
deteriorated,
with
expansion
significantly
encroaching
upon
space
certain
areas;
(3)
scenario,
balanced
development
strategy
12.3%,
enhanced
8.6%,
improved
15.4%,
demonstrating
that
optimizing
allocation
can
synergistically
enhance
both
while
ensuring
rational
resources
security.
This
not
only
reveals
squeezing
effect
functions
but
also
provides
scientific
decision-making
support
for
sustainable
regions
constraints,
holding
significant
theoretical
practical
implications.
