Geography and sustainability,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 1, 2024
Understanding
the
complex
interactions
between
urbanization
and
ecosystem
services
(ESs)
is
crucial
for
optimizing
planning
policies
achieving
sustainable
urban
management.
While
previous
research
has
largely
focused
on
highly
urbanized
areas,
little
attention
been
given
to
phased
effect
of
progressive
ES
networks.
This
study
proposes
a
conceptual
framework
that
utilizes
network
method
space-time
replacement
examine
relationships
among
ESs
at
different
stages,
with
particular
emphasis
evolution
process.
We
apply
this
Horqin
area,
typical
eco-fragile
area
in
China.
Results
demonstrate
connectivity
synergy
exhibits
non-stationary
characteristic,
initially
increasing,
then
decreasing,
subsequently
strengthening,
while
its
modularity
shows
rising
trend
during
periods
accelerated
urbanization.
The
performance
trade-off
displays
opposite
pattern.
Additionally,
we
observe
gradual
provisioning
regulation
by
cultural
terms
dominance
as
advances.
By
providing
guidance
identifying
key
initiatives
implementing
ecological
protection
stages
development,
contributes
pathway
can
inform
development
strategies
other
regions
undergoing
Ecological Indicators,
Год журнала:
2022,
Номер
142, С. 109218 - 109218
Опубликована: Июль 30, 2022
Agroecosystems
benefit
from
many
ecosystem
services
and
are
frequently
managed
to
increase
productivity.
In
recent
years,
agricultural
industrialization
has
caused
the
loss
of
some
important
in
agroecosystems,
hindering
sustainable
development
goals
(SDGs).
order
promote
development,
it
is
necessary
restore
damaged
agroecosystems
improve
agroecosystem
(AES).
However,
there
relatively
few
studies
on
AES,
fewer
concerning
definition
or
connotation
AES.
Therefore,
this
paper
reviews
current
AES
research,
indicators,
assessment
methods,
as
well
directions
for
future
research.
determined
by
functions
human
practices,
with
both
positive
negative
effects,
scale
trade-offs
synergies
between
indicators
can
be
classified
provisioning
services,
regulating
cultural
a
including
supporting
services.
Currently,
main
methods
include
public
participation,
empirical
model,
mechanism
value
estimation.
Multi-source
data
fusion
integrated
models
assess
multiple
will
research
trend.
addition,
should
develop
additional
promising
topics,
considering
disservices
(AEDS);
assessing
supply,
demand,
flow;
analyzing
comprehensively.
This
extend
field
links
SDGs
their
applications
landscape
planning
governance.
review
highlights
importance
more
effectively
manage
development.
Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110800 - 110800
Опубликована: Авг. 18, 2023
Clarifying
the
ecosystem
service
(ES)
trade-off/synergy
is
a
prerequisite
for
scientific
implementation
and
optimization
of
integrated
ecological
system
management
strategies,
especially
in
highly
urbanized
areas
with
declining
eco-environmental
carrying
capacity.
This
study
took
China's
Yangtze
River
Delta
urban
agglomeration
(YRDUA)
as
an
example.
First,
we
used
pixel-by-pixel
analysis
based
on
dynamic
spatial
correlation
to
quantify
among
6
primary
ESs'
change
amounts
from
2005
2020
(habitat
quality,
soil
retention,
carbon
sequestration,
water
yield,
food
production,
leisure
recreation).
Then,
multiple
ES
explored
their
driving
factors
by
cluster
geographically
temporally
weighted
regression
(GTWR).
The
results
showed
synergy
between
supporting
regulating
services
predominated
while
were
mostly
trade-offs
cultural
services.
15
functional
pairs
within
YRDUA
can
be
downscaled
into
4
trade-off
bundles.
Furthermore,
climate
drivers
(annual
highest
temperature
(TH),
annual
total
precipitation
(PRE),
solar
radiation
(SRT))
significantly
influenced
heterogeneity
ESs
YRDUA.
socio-economic
(night
light
index
(NLI),
gross
domestic
product
(GDP))
land
use
(proportion
arable
(ALP),
proportion
construction
(CLP),
woodland
(WLP))
had
more
remarkable
power
explanation
temporal
variation
trade-off/synergy.
other
agglomerations
study's
findings
develop
differentiated
strategies.
Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110812 - 110812
Опубликована: Авг. 27, 2023
Vegetation
change
has
a
non-negligible
role
in
the
impact
of
ecosystem
services
(ESs).
Quantitative
assessment
vegetation
is
basis
for
sustainable
regional
development.
Using
Chinese
Loess
Plateau
(LP)
as
study
area,
this
firstly
analysed
spatial
and
temporal
characteristics
used
Geodetector
model
to
reveal
driving
mechanism.
Next,
applied
InVEST
quantitatively
assess
four
carbon
storage,
habitat
quality,
soil
conservation
water
yield,
explored
service
balance
through
type
transfer.
The
results
showed
that
(1)
there
was
trend
towards
an
increase
area
all
types,
with
sparse
being
most
pronounced.
Areas
damaged
were
concentrated
urban
peripheral
areas,
well
wasteland
bare
ground.
(2)
Annual
precipitation,
types
cumulative
afforestation
ratio
main
drivers
on
LP.
(3)
Restoration
woodland
enhanced
quality
retention
LP,
while
yield
decreased
by
31.66%.
restoration
did
not
enhance
services.
This
may
provide
reference
management
ecosystems.
Abstract
Context
Intensified
human
activities
have
disrupted
landscape
patterns,
causing
a
reduction
in
the
supply
of
ecosystem
services
(ESs)
and
an
increase
demand,
especially
urban
agglomerations.
This
supply-demand
imbalance
will
eventually
lead
to
unsustainable
landscapes
needs
be
optimized.
Objective
Based
on
ES
mismatch
trade-off
relationships
across
urban–rural
landscapes,
this
study
explored
which
ESs
need
optimized
identified
priority
restoration
regions
that
require
optimization
promote
sustainability
Beijing-Tianjin-Hebei
agglomeration.
Methods
A
methodological
framework
for
was
developed.
were
using
Iso
cluster
classification
tool.
quantified
biophysical
models
empirical
formulas,
demand
through
consumption
expectations.
Restoration
Opportunities
Optimization
Tool
then
adopted
identify
regions.
Results
From
2000
2020,
most
lowest
areas
highest
rural
areas,
while
exhibited
opposite.
Although
increasing,
it
did
not
match
demand.
deficits
dominant
areas;
both
trade-offs
fringe;
areas.
There
13,175
km
2
distributed
their
spatial
heterogeneity
influenced
by
trade-offs.
Conclusion
Differences
affected
necessity
optimizing
zoning
landscapes.
Assigning
weights
reasonably
according
curves
determine
could
facilitate
efficient
use
resources
sustainable
management
