Landscape Ecology,
Journal Year:
2024,
Volume and Issue:
39(3)
Published: Feb. 23, 2024
Abstract
Context
The
study
of
landscape
sustainability
plays
an
important
role
in
the
development
science.
Landscape
assessment
is
crucial
for
planning
and
governance,
serving
as
a
fundamental
basis
achieving
regional
global
sustainable
development.
Objectives
goal
to
propose
framework
based
on
ecosystem
services
(ESs)
supply-flow-demand,
select
case
area
test
it.
Methods
We
started
from
connotation
theoretically
explained
relationship
between
patterns,
ESs,
human
well-being.
proposed
conceptual
supply-flow-demand
ESs.
Yixing
City
was
selected
empirical
research.
Results
constructed
steps
ESs
applied
it
assess
towns
City.
focuses
concept
can
be
at
various
temporal
spatial
scales,
with
high
operability
replicability.
However,
there
are
still
certain
limitations
that
need
further
considered,
including
determination
boundaries,
multi-scale
assessment,
trade-offs/synergies
different
Conclusions
expand
perspectives
methods
assessment.
It
also
practical
replicable,
aiming
provide
support
governance.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110800 - 110800
Published: Aug. 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,
Journal Year:
2022,
Volume and Issue:
142, P. 109218 - 109218
Published: July 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,
Journal Year:
2023,
Volume and Issue:
154, P. 110812 - 110812
Published: Aug. 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.
Landscape Ecology,
Journal Year:
2024,
Volume and Issue:
39(2)
Published: Feb. 14, 2024
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
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
153, P. 110461 - 110461
Published: June 10, 2023
Understanding
the
patterns,
relationships,
and
driving
forces
between
ecosystem
services
(ESs)
supply–demand
at
multiple
spatial
scales
can
facilitate
sustainable
hierarchical
management.
However,
scale
effects
of
ESs
mismatches
were
typically
ignored,
resulting
in
inadequate
targeted
promotion
policies.
This
study
identified
key
(grain
production,
water
yield,
carbon
sequestration,
soil
conservation)
using
ecological
ratio
bivariate
Moran's
I
three
grid
county
from
2000
to
2020
Hubei
Province,
China.
Then
regression
models
applied
explore
these
mismatches.
The
major
results
revealed
that
(1)
Province
counties
located
away
urban
areas
self-sufficient
supply–demand,
but
numbers
declined
over
twenty
years.
characteristics
some
patches
may
be
obscured
coarser
scales.
(2)
directions
socioecological
drivers
robust,
their
intensities
changed
significantly
four
normalized
difference
vegetation
index
was
primary
positive
driver
fine
scale,
while
population,
economy,
proportion
construction
land
became
dominant
Factors
influencing
more
diverse
compared
coarse
scale.
(3)
Efficient
strategies
scale-dependent
place-based.
Different
management
units
should
clarify
responsibilities
strengthen
linkages
upper
lower
levels
achieve
development.
At
provincial
level,
strengthening
interregional
cooperation
allocating
surplus
grain
resources
southwest
regions
contributes
balancing
regional
ESs.
adopting
region-specific
based
on
delineating
zones
is
crucial.
finer
levels,
incorporating
micro-scale
mismatch
locations
natural
background
information
provide
valuable
guidance
for
localized
protection
restoration
projects.
findings
underscore
strengths
conducting
assessments
scales,
enabling
different
government
enhance
effective
prevent
misinformation.