Land,
Год журнала:
2024,
Номер
13(12), С. 2186 - 2186
Опубликована: Дек. 14, 2024
The
expansion
of
urban
areas
and
unsustainable
land
use
associated
with
human
activities
have
brought
about
a
decline
in
habitat
quality
(HQ),
especially
arid
regions
fragile
ecosystems.
A
precise
prediction
changes
across
different
scenarios
is
crucial
for
the
sustainable
maintenance
ecological
diversity.
In
this
article,
InVEST
model
was
employed
to
assess
both
degradation
levels
habitats
Turpan–Hami
Basin
(THB)
spanning
1990~2020.
Additionally,
InVEST-PLUS
coupling
forecast
conditions
under
three
2050.
Specifically,
it
involved
comparison
spatial
distribution
HQ
natural
development
(ND)
scenarios,
town
(UD)
protection
(EP)
along
analysis
hot
spots
1990~2050.
outcomes
revealed
following:
(1)
primary
THB
categorized
as
unused
land,
alongside
notable
expansions
cultivated
grassland,
built-up
land.
Conversely,
there
considerable
observed
forests,
water
bodies,
(2)
within
exhibited
evident
clustering
characteristics.
Between
1990
2020,
low
accounted
over
85%,
unchanged
constituted
88.19%,
experiencing
deteriorated
comprised
approximately
5.02%,
displaying
improved
encompassed
around
6.79%.
(3)
Through
ND,
UD,
EP
2050,
that
average
scenario
ranked
highest,
exhibiting
lowest
degree
on
average.
This
indicates
most
advantageous
preserving
HQ.
Conclusively,
research
provides
valuable
viewpoints
making
decisions
aimed
at
enhancing
ecologically
regions.
Sustainability,
Год журнала:
2024,
Номер
16(24), С. 10992 - 10992
Опубликована: Дек. 14, 2024
Ecological
zoning
is
essential
for
optimizing
regional
ecological
management
and
improving
environmental
protection
efficiency.
While
previous
studies
have
primarily
focused
on
the
independent
analysis
of
land
use
intensity
(LUI)
landscape
risk
(LER),
there
has
been
limited
research
their
coupled
relationship.
This
study,
conducted
in
Western
Jilin
(WJL),
introduces
an
innovative
method
based
Production–Living–Ecological
Space
(PLES)
framework,
which
explores
interactions
between
LUI
LER,
filling
a
gap
existing
research.
The
employs
coupling
coordination
degree
(CCD)
model
Geographic
Information
System
(GIS)
technology
to
construct
LUI-ERI
model,
used
delineate
zones.
results
indicate
that:
(1)
PLES
study
area
predominantly
production
space
(PS),
with
largest
transfer
being
(PES)
2784.23
km2,
most
significant
PS
3112.33
km2.
(2)
Between
2000
2020,
both
LER
exhibited
downward
trends,
opposite
spatial
distribution
characteristics.
“middle”
zone
“highest”
were
dominant
types,
covering
approximately
46%
45%
total
area,
respectively.
(3)
showed
polarized
trend,
overall
upward
trajectory
from
2020.
(4)
WJL
can
be
categorized
into
core
(ECP)
zone,
potential
governance
(EPG)
comprehensive
monitoring
(ECM)
optimization
(EO)
restoration
(ER)
occupying
61.63%
area.
provides
novel
perspective
offers
systematic
scientific
basis
planning.
Abstract
The
southwestern
mountainous
and
hilly
regions
of
China
are
vital
ecological
barriers
upstream
the
Yangtze
River.
Assessing
simulating
changes
in
ecosystem
service
value
(ESV)
this
area
is
essential
for
ensuring
sustainable
development.
In
study,
our
purpose
was
to
evaluate
simulate
spatial
patterns
as
well
trends
shown
by
ESV
Yanting
County,
China,
from
2020
2030
via
a
grid-scale
using
equivalent
factor
method
Markov–patch-generating
land
use
simulation
model.
results
indicated
that
(1)
2030,
forest,
cultivated,
construction
lands
would
be
main
types
use.
(2)
projected
ESVs
County
under
as-usual,
low-carbon,
shared
development
scenarios
were
5.31,
5.30,
4.99
billion
RMB,
respectively.
Compared
as-usual
scenario
low-carbon
increased.
decreased.
It
reflects
contra-diction
between
urbanization,
industrialization,
agricultural
production,
protection
County.
distribution
all
three
showed
an
agglomeration
trend.
(3)
Given
background
national
food
security
carbon
peaking
neutrality,
setting
combined
with
appears
more
suitable
future
which
conducive
rational
planning
land-use
sci-entific
growth
This
study
underscores
critical
importance
integrating
management,
provides
reference
resources,
planning,
policy-making
