Ecological Informatics,
Год журнала:
2024,
Номер
81, С. 102633 - 102633
Опубликована: Май 9, 2024
In
our
transforming
world,
ecosystem
services
(ESs)
and
biodiversity
are
threatened
by
urban
sprawl
with
rapid
urban-rural
transformation
(URT),
jeopardizing
human
well-being.
Understanding
the
effect
of
URT
on
ESs
is
critical,
particularly
in
areas
that
have
undergone
urbanization.
Taken
Beijing-Tianjin-Hebei
(BTH)
region
China
as
a
typical
case,
this
study
measures
from
population-land-industry
perspective
elucidates
influence
each
index
at
different
stages.
The
process
experienced
decline
population
growth,
an
increase
land
urbanization,
stability
non-agriculturalization
rate.
particular,
reveals
intricate
complex
non-linear
relationship
between
ESs.
negatively
affects
grain
production
(GP),
habitat
quality
(HQ),
soil
retention
(SR),
carbon
sequestration
(CS)
has
positive
impact
water
yield
(WY).
Furthermore,
it
was
found
response
threshold
to
URTIs
increased
over
time,
indicating
can
maintain
certain
degree
resilience
face
activities.
However,
ensuring
continued
increasingly
depends
implementation
effective
management
protection
measures.
This
advances
knowledge
dynamics
rapidly
urbanizing
provides
valuable
insights
for
policymakers
planners
guide
sustainable
development
resource
management.
Ecological Indicators,
Год журнала:
2023,
Номер
146, С. 109871 - 109871
Опубликована: Янв. 10, 2023
"Taking
the
county
as
an
important
carrier
to
promote
urbanization"
has
been
identified
China's
most
significant
strategic
planning
for
urban
development.
Exploring
level
of
coordination
among
both
water-related
ecosystem
services
(WES)
and
urbanization
analyzing
their
social
ecological
drivers
at
county-level
can
benefit
in
tackling
various
environmental
challenges
that
arise
a
result
urbanization.
This
research
examined
spatial
temporal
variation
WES
(i.e.,
water
provision,
soil
conservation,
purification
services)
Yangtze
River
Economic
Belt
(YREB)
from
2000
2018
through
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
model,
quantitative
assessment
terms
population,
economy,
area
increase.
Then,
coupling
degree
(CCD)
model
was
then
used
assess
extent
coordinated
growth
Finally,
GeoDetector
regionally
weighted
regression
were
investigate
influence
multiple
factors
on
CCD
The
findings
indicate
that:
1)
Each
unit
YREB
had
significantly
higher
2018,
with
hotspots
located
primarily
Shanghai,
Jiangsu,
Zhejiang
vicinity
Wuhan
Chengdu.
2)
varied
considerably
between
years,
but
exhibited
upward
tendency.
3)
eastern
portion
is
than
western
portion.
increasing
overall
low.
4)
Land
use
intensity,
nighttime
light
NDVI
primary
determinants
urbanization,
considerable
heterogeneity
driving
forces
locations.
To
improve
differentiated
development
schemes
protection
measures
proposed
based
findings.
Ecological Informatics,
Год журнала:
2023,
Номер
79, С. 102440 - 102440
Опубликована: Дек. 18, 2023
Accelerated
urbanization
has
caused
encroachment
on
urban
water
ecological
land
in
China's
Yellow
River
basin,
resulting
a
strong
disturbance
of
ecosystem
service
functions
and
increasingly
serious
environmental
problems.
In
this
study,
two
entities—water
value
(WESV)
the
system—are
identified,
to
investigate
interactions
between
WESV
systems
their
subsystems
six
basin
cities
(Lanzhou,
Yinchuan,
Hohhot,
Xi'an,
Zhengzhou,
Jinan)
from
2005
2020.
First,
integrated
level
system
each
city
is
calculated
using
modified
developed
method
equivalence
factor
per
unit
area
entropy
method,
respectively.
Then,
coupling
coordination
relationship
are
revealed
by
degree
model
(CCDM)
Geographically
Temporally
Weighted
Regression
(GTWR).
The
results
show
that:
1)
both
basically
shows
an
increasing
trend,
hydrological
regulation
function
dominates
functions,
comprehensive
evaluation
environment
generally
higher
than
that
other
system's
subsystems.
2)
gradually
rose
extreme
incoordination
coordination,
(CCD)
resources
also
obvious
upward
but
CCD
safety
developing
more
slowly.
3)
where
have
greater
positive
impacts
primarily
focused
Lanzhou
while
negative
mainly
located
Yinchuan
Zhengzhou.
summary,
planning
decision-making
or
cities,
it
critical
promote
protection
ecology
high-quality
development
clearly
understanding
interaction
services
system,
coordinating
balancing
systems.
Ecological Indicators,
Год журнала:
2023,
Номер
156, С. 111066 - 111066
Опубликована: Окт. 16, 2023
Ecosystem
services
and
ecological
risk
prevention
are
important
factors
that
influence
for
sustainable
socio-economic
development.
In
recent
years,
fewer
studies,
practices
have
been
conducted
on
the
value
of
ecosystem
management
in
larger
regions,
mechanisms
their
interactions
not
adequately
investigated.
The
central
southern
region
China
is
a
stage
high-quality
development,
Hunan
Province
this
used
as
an
example
to
investigate
interaction
mechanism
between
service
(ESV)
landscape
(LER)as
well
generate
new
ideas
coordinated
regional
socioeconomic
This
study
developed
evaluation
model
ESV
LER
by
synthesizing
multi-source
data
from
1990
2020
further
revealed
LER.
We
found
following:
(1)
experienced
rapid
urbanization,
both
showed
increasing
trends.
A
complex
significant
positive
correlation
was
observed
these
two
variables.
(2)
overall
trend
2020,
each
level
distributed
high
low,
with
core
area
spreading
outward.
gradually
decreased
after
2010,
when
urban
expansion
rapid.
(3)
shifted
medium-low
risk,
increased,
distribution
pattern
north
south
low
surroundings.
(4)
There
were
four
types
spatial
correlations
at
local
scale:
risk.
Based
results,
zoning
plan
Province.
contributes
understanding
interactive
synergistic
relationship
Province,
which
critical
optimizing
economic
social
Ecological Indicators,
Год журнала:
2024,
Номер
158, С. 111521 - 111521
Опубликована: Янв. 1, 2024
River
basins
play
an
important
role
in
national
economic
development
and
ecological
security
can
be
well
expressed
by
ecosystem
services
(ESs)
research.
Due
to
rapid
population
growth
climate
change,
it
has
had
a
significant
impact
on
the
of
Yellow
Basin
(YRB).
Although
ESs
have
been
assessed
several
studies,
few
studies
used
composite
service
index
(CESI)
their
assessment.
Thus,
here,
based
InVEST
model,
bivariate
spatial
autocorrelation,
econometric
we
studied
YRB,
with
aim
build
CESI
for
evaluating
overall
YRB.
We
found
that
YRB
from
1990
year–2020
year
obvious
spatiotemporal
distribution
law
at
city
level
grid
scale,
showing
high
characteristic
southeast.
The
trend
also
showed
difference
regional
distribution.
There
was
positive
correlation
between
urbanization
indicators
reflected
urbanization,
aggregation
type
among
three
similar.
Furthermore,
density
strong
spillover
effect
CESI,
whereas
land
negative
effect.
Therefore,
should
pay
attention
transforming
extensive
model
paying
when
laying
out
industrial
structures.
Additionally,
is
necessary
control
expansion
built-up
improve
use
efficiency,
thereby
reducing
development.
This
study's
findings
serve
as
reference
policy
formulation
major
river
worldwide.
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.