Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111932 - 111932
Опубликована: Март 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,
Год журнала:
2024,
Номер
162, С. 112049 - 112049
Опубликована: Апрель 20, 2024
The
construction
of
an
ecological
security
pattern
(ESP)
is
important
undertaking
in
ensuring
the
stability
ecosystem
and
long-term
growth
humanity.
Existing
research,
However,
existing
research
often
overlooks
quantification
policy
implications
ESP
development.
objective
this
paper
was
to
bridge
gap
by
integrating
analysis
(PQA)
with
nature,
society
into
providing
targeted
management
recommendations.
texts
were
quantified
reusable
data,
which
served
as
a
foundation
for
selection
indicators
optimization
patterns,
using
machine
learning
techniques.
methodology
"Patch-matrix-corridor"
used
create
spatially
correlated
pattern.
Through
factor
Random
Forest
(RF),
impact
each
indicator
on
thoroughly
examined,
offering
substantial
support
development
planning.
Guangdong-Hong
Kong-Macao
Greater
Bay
Area(GBA)
selected
study
area,
found
that:
(1)
proposed
framework
PQA
based-ESP
could
provide
useful
eco-management
tools.
(2)
Policy
adaptability
had
environmental
GBA,
but
service
index
has
highest
impact.
(3)
Applying
framework,
we
identified
total
1,993
km2
sources,
23
key
corridors,
58
general
31
nodes.
An
improved
ESP,
characterized
"one
circle,
two
bays,
three
rivers,
multiple
areas,
nodes,"
constructed
GBA.
(4)
Given
multi-scale
analysis,
tailored
recommendations
city
study's
findings
offer
actionable
solutions
international
community
facing
growing
challenges.
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 7223 - 7223
Опубликована: Авг. 22, 2024
The
coordinated
development
of
the
water–food–ecology
(WFE)
nexus
is
a
practical
issue
that
has
to
be
addressed
urgently
for
northwest
China’s
(WTL)
sustainable
development.
Optimizing
linkage
relationship
and
accomplishing
rational
distribution
resources
from
perspective
supply
demand
ecosystem
services
(ESSD)
are
imperative.
Thus,
in
this
study,
numerical
indicator
system
ESSD
WFE
was
constructed
with
incorporation
water
carbon
footprint.
Based
on
premise,
ecological
management
zoning
method
enhanced
by
integrating
risks,
optimization
suggestions
were
proposed
various
zones.
results
showed
(1)
sequestration
(CS),
food
production
(FP),
yield
(WY)
significantly
increased
between
2000
2021.
High
ESSDs
concentrated
west
side
China.
Maize,
wheat,
cotton,
vegetables,
garden
fruits
had
higher
(ESs).
(2)
three
bound
synergistic
relationship.
synergy
exhibited
significant
spatial
heterogeneity,
while
synergies
similar
patterns.
(3)
Regarding
quantity
matching,
FP
CS
surpassed
demand,
WY
could
not
meet
demand.
ESs’
deficits
rose.
Ecological
supply–demand
ratio
(ESDR)
regional
differentiation
ESs
apparent.
low
supply–low
focused
high
supply–high
risk
Qaidam
Basin,
whereas
mostly
Hexi
inland
river
basin
(HX),
Yellow
River
Basin
area
(HH),
both
sides
“Qice
line”.
(4)
zones
formed
WTL’s
dominant
weak
functional
zones,
four
categorized
strategy
regions,
governance
models.
This
study
can
serve
as
scientific
benchmark
management,
which
ensuring
water,
food,
safety.
