Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(8), P. 1402 - 1402
Published: April 15, 2025
An
ecological
restoration
assessment
aims
to
evaluate
whether
projects
(ERPs)
have
achieved
predefined
objectives,
such
as
improving
fractional
vegetation
cover
(FVC)
and
enhancing
ecosystem
services
(ESs),
well
optimize
strategies
based
on
outcomes.
Despite
recent
advancements,
current
studies
still
fall
short
of
fully
capturing
the
trade-offs
among
ESs
identifying
underlying
drivers
different
trends.
To
address
these
challenges,
we
applied
Theil–Sen
method
delineate
change
zones
in
Qilian
Mountain
National
Park
(QLMNP)
between
2000
2020,
employed
bivariate
Moran’s
I
statistics
analyze
synergies
four
within
zones,
including
carbon
sequestration
(CS),
soil
conservation
(SC),
water
(WC),
biodiversity
maintenance
(BIO),
utilized
a
spatial
random
forest
(SRF)
model
explore
main
socio-ecological
driving
factors
trends
their
distribution.
Our
results
revealed
significant
recovery
QLMNP
particularly
regions
with
initially
low
FVC.
Positive
CS,
SC,
BIO
highlighted
success
efforts,
primarily
driven
by
land
conversion
forests
increased
precipitation.
However,
8.82%
exhibited
stagnation
or
degradation
due
rising
temperatures
overgrazing,
leading
declines
SC
BIO.
Notably,
introduced
ESs,
especially
high
FVC
areas,
where
strong
trade-off
emerged
WC.
These
findings
highlight
need
for
refining
balance
resource
allocation.
Finally,
integrated
trends,
ES
relationships,
propose
grid-based
zonal
governance
plans
QLMNP,
prioritizing
WC
enhancement
critical
components
future
planning.
This
study
serves
foundation
optimizing
maintaining
while
offering
actionable
insights
fine-grained
evaluation
sustainable
development
planning
other
regions.
Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 468 - 468
Published: April 6, 2024
The
ecosystem
service
value
(ESV)
is
an
important
basis
for
measuring
ecological
environment’s
quality
and
the
efficient
management
of
ecosystems.
It
particularly
necessary
to
explore
a
proven
methodology
assessing
predicting
ESV
dynamics
coupled
with
policy-oriented
scenarios
that
can
provide
theoretical
groundwork
macro
decision,
in
context
implementing
protection
restoration
projects.
This
study
selected
land
cover
(LC)
Sichuan
Province
at
five
periods
spatiotemporal
dynamic
equivalent
factor
method
assess
ESVs
from
2000
2020.
Additionally,
Markov
chain
GeoSOS-FLUS
model,
predicted
future
pattern
under
four
development
scenarios.
results
show
(a)
areas
forests,
shrubs,
waters,
wastelands,
wetlands,
impervious
showed
continuous
increase
2020,
most
frequent
interchanges
occurring
among
croplands,
grasslands.
(b)
implementation
projects
led
13,083.32
×
108
yuan
ESV,
barycenter
located
northeastern
part
Ya’an
exhibits
tendency
move
towards
northeast.
(c)
aggregation
each
city
has
remained
unchanged,
Ganzi
being
only
high
aggregation.
Overall,
there
are
more
conflict
cities
than
coordination
between
economic
environment.
(d)
total
2025
will
continue
all
scenarios,
reaching
maximum
50,903.37
EP
scenario.
insights
planning
decisions
sustainable
regional
socio-economic
development.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111932 - 111932
Published: March 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.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 31, 2024
Abstract
Assessing
the
effectiveness
of
vegetation
restoration
along
Yangtze
River
shoreline
and
exploring
its
relationship
with
land
use
changes
are
imperative
for
providing
recommendations
sustainable
management
environmental
protection.
However,
impact
post-implementation
Conservation
Project
remains
uncertain.
In
this
study,
utilizing
Sentinel-2
satellite
imagery
Dynamic
World
data
from
pre-
(2016)
post-
(2022)
periods,
pixel-based
binary
models,
transition
matrices,
geographically
weighted
regression
models
were
employed
to
analyze
status
evolution
coverage
shoreline.
The
results
indicated
that
there
had
been
an
increase
in
area
covered
by
high
high-medium
levels.
proportion
cover
shifting
better
was
4201.87
km
2
(35.68%).
Hotspots
improvement
predominantly
located
River.
Moreover,
areas
witnessing
enhanced
experienced
notable
changes,
notably
conversion
water
crops
(126.93
,
22.79%),
trees
(59.93
10.76%),
built
10.76%).
Notably,
between
emerged
as
a
significant
factor
influencing
improvement,
average
coefficients
0.68
0.50,
respectively.
These
outcomes
underscore
significance
study
guiding
ecological
protection
Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 511 - 511
Published: April 13, 2024
Large-scale
vegetation
restoration
has
caused
complex
changes
in
ecosystem
service
(i.e.,
ES)
interactions.
However,
current
analysis
on
the
spatial
interactions
of
ESs
and
their
driving
mechanisms
remains
deficient,
limiting
adaptive
management
areas.
This
study
focused
a
representative
area
(Yan’an)
to
analyze
relationships
among
carbon
sequestration,
water
yield,
baseflow
regulation,
soil
conservation
from
1990
2020.
Employing
bivariate
boxplot
autocorrelation
methods,
we
identified
overall
patterns
ES
The
geographically
temporally
weighted
regression
GTWR)
model
was
applied
elucidate
factors
these
results
indicated
following:
(1)
Over
past
three
decades,
synergies
between
sequestration
yield
emerged
as
joint
‘low–low’
‘high–high’
two
ESs,
while
other
pairs
generally
exhibited
comparatively
weaker
synergies,
due
‘low–high’
southern
semi-humid
(2)
In
northern
semi-arid
areas,
both
fractional
cover
FVC)
climatic
consistently
exerted
negative
influences
all
interactions,
which
reduced
FVC
suppressed
trade-offs
indicating
adaptability
grassland
efforts.
(3)
impact
human
activities
increased
last
10
years,
positive
effects
expansion
trade-off
warrants
attention.
offers
important
insights
into
understanding
carbon,
water,
soil-related
drylands.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(16), P. 6763 - 6763
Published: Aug. 7, 2024
This
study
is
based
on
the
National
Spatial
Ecological
Protection
and
Restoration
Plan,
using
logical
ecological
evaluation
indicators
to
determine
extent
of
function
degradation
areas
in
Harbin
City.
In
Heilongjiang
Province,
faces
severe
environment
degradation,
characterized
by
reduced
area,
deteriorated
water
quality,
loss
biodiversity,
resource
competition.
Identifying
degraded
regions
can
effectively
address
these
environmental
issues.
A
multi-level
indicator
system
was
constructed
evaluate
identify
important
sensitive
across
city,
followed
integrating
results
delineate
various
levels
types
protection
restoration
zones
Harbin.
Results
indicate
that
include
priority
such
as
marshes
surrounding
section
Songhua
River,
southern
aquatic
wetlands,
scattered
forest
conservation
areas.
Key
are
found
eastern
urban
core
Harbin,
well
Bayan
County,
Bin
County’s
northern
region,
Wuchang
City’s
northwest
Yilan
County.
General
primarily
distributed
Songbei
District,
Shuangcheng
Mulan
southeastern
Shangzhi
City,
some
counties
along
River.
Priority
consist
mainly
unused
land,
cultivated
forests,
while
key
general
predominantly
composed
land
forests
respectively.