Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(19), P. 4884 - 4884
Published: Oct. 9, 2023
Landscape
ecological
risk
is
considered
the
basis
for
regional
ecosystem
management
decisions.
Thus,
it
essential
to
understand
spatial
and
temporal
evolutionary
patterns
drivers
of
landscape
risk.
However,
existing
studies
lack
exploration
long-term
time
series
driving
mechanisms
Based
on
multi-type
remote
sensing
data,
this
study
assesses
pattern
changes
in
Three
Gorges
Reservoir
Area
from
1990
2020
ranks
factors
using
a
geographical
detector.
We
then
introduce
geographically
weighted
regression
model
explore
local
contributions
factors.
Our
results
show:
(1)
From
2020,
agricultural
land
decreased,
while
forest
construction
expanded
Area.
The
overall
shifted
toward
aggregation.
(2)
exhibited
decreasing
trend.
areas
with
relatively
high
were
primarily
concentrated
main
urban
area
western
region
along
Yangtze
River,
apparent
(3)
Social
natural
affected
human
interference,
annual
average
temperature,
population
density,
precipitation;
interactions
occurred
between
drivers.
(4)
influence
showed
heterogeneity.
Spatially,
social
(human
interference
density)
was
positively
correlated.
Meanwhile,
factors’
(annual
temperature
precipitation)
varied
widely
distribution,
more
complex.
This
provides
scientific
reference
management,
use
policy
formulation,
optimization
security
patterns.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110626 - 110626
Published: July 20, 2023
Ecological
security
pattern
(ESP)
is
an
effective
way
to
integrate
landscape
patterns
and
ecological
processes
from
the
perspective
of
connectivity.
Its
scientific
construction
can
promote
coordinated
development
social
system
ecosystem.
However,
methods
ESP
still
need
be
explored,
most
studies
assume
that
different
do
not
interfere
with
each
other,
then
spatial
overlay
types
ecosystem
services
determine
source.
Metropolitan
area
important
space
carrier
for
high-quality
Chinese
urban
agglomeration.
Taking
Shenzhen
metropolitan
as
target
area,
we
identified
sources
according
trade-offs
sensitivity
assessment
OWA
algorithm,
revised
basic
resistance
surface
by
using
night
light
data,
simulated
extracted
corridors
combining
minimum
cumulative
(MCR)
model
potential
model.
We
13
a
total
9938.23.23
km2.
The
distribution
them
was
concentrated
in
Huizhou
Shanwei,
well
junctions
mountain
woodlands
Huizhou,
Heyuan,
Shanwei.
Notably,
66
were
simulated,
including
26
40
general
corridors.
generally
exhibited
spider
web
radial
substantial
heterogeneity
densely
distributed
suburbs
northern
hilly
regions
far
areas.
Aggregated
elements
used
build
comprehensive
which
comprises
sources,
corridors,
4
levels
surface,
24
strategic
nodes.
This
study
comprehensively
considered
interactions
environmental
processes,
provided
quantitative
framework
constructing
ESP,
results
provide
decision-making
reference
territorial
protection
restoration
planning
area.
Frontiers in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 17, 2024
Introduction
This
study
aims
to
investigate
the
factors
influencing
ecosystem
service
trade-offs/synergies
(TOSs)
in
major
agricultural
production
areas
southern
hilly
region
and
propose
optimization
strategies
promote
sustainability
areas.
Methods
The
used
a
geographical
detector
analyze
determinants
trade-offs
as
well
correlation
analysis,
geographically
weighted
regression
(GWR),
spatial
temporal
evolution
of
TOS
relationships
from
2000
2020
Hunan
Province.
Results
results
showed
that
comprehensive
value
services
Province
an
increasing
trend
2020.
With
heterogeneity,
with
high
values
were
mainly
distributed
west,
south,
east
Province,
low
Dongting
Lake
Plain
Xiangzhong
Hilly
Basin.
There
was
trade-off
relationship
between
food
(FP)
all
other
services,
which
FP
has
strongest
effect
habitat
quality
(HQ).
synergy
HQ,
water
yield
(WY),
carbon
storage
(CS),
soil
conservation
(SC)
shows
trend.
Gross
domestic
product
(GDP)
SLOPE
are
dominant
for
strength
supply
Digital
Elevation
Model
(DEM)
Normalized
Difference
Vegetation
Index
(NDVI)
effects
among
services.
is
determined
by
interactions
or
co-influences
two
rather
than
single
component.
Discussion
this
can
provide
reference
basis
enhancement
sustainable
planning
landscapes
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
159, P. 111729 - 111729
Published: Feb. 1, 2024
Investigating
large-scale
spatial
patterns
of
ecosystem
services
(ESs)
and
their
underlying
drivers
can
greatly
contribute
to
policies-making
regional
sustainability
development.
With
water
yield
(WY),
soil
conservation
(SC),
carbon
sequestration
(CS)
as
representative
ESs,
we
aim
quantify
in
the
Yangtze
River
Economic
Belt,
China,
identify
driving
factors,
formulate
sound
environmental
management
strategies.
Spatial
geography
socioeconomic
data
from
2000
2020
were
mined
a
range
research
methods,
including
multiscale
geographic
weighted
regression,
self-organizing
maps,
linear
discriminant
analysis,
employed
for
such
purpose.
Annual
average
WY,
SC,
CS
403
mm,
9897
t·km−1,
1071
g·CO2·m−2.
The
three
ESs
examined
exhibit
heterogeneity.
WY
exhibited
significant
variation
along
north–south
gradient,
while
SC
topographic
gradient.
In
context
high
correlation
factors
among
greater
sensitivity
natural
(such
precipitation),
demonstrated
height
human
activities
addition
vegetation
cover.
heterogeneity
is
pronounced
main
ESs.
Three
threshold
equations
established
describe
manner
which
different
undergo
transformations,
possessed
level
credibility
this
study
(coincidence
>
80
%).
This
reveals
variations
socio-economic
drivers.
More
specifically,
quantitatively
validated
expression
service
drivers,
establishing
strong
scientific
foundation
management.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(13), P. e33375 - e33375
Published: June 21, 2024
Interactions
among
ecosystem
services
(ESs)
involve
tradeoffs
and
synergies.
Quantitatively
studying
the
trade-off
synergistic
relationships
between
land
use/land
cover
change
(LULC)
ESs
enables
precise
identification
of
quality
status
driving
factors
within
region,
which
is
crucial
for
rational
resource
allocation
environmental
protection.
In
this
study,
spatial
temporal
characteristics
three
carbon
storage
(CS),
soil
retention
(SR)
habitat
(HQ)
are
explored
by
using
InVEST
model
GIS
technology
in
region
around
Taihu
Lake,
synergies
determined
based
on
difference
comparison.
The
results
indicate
that:
(1)
study
area
has
a
downward
trajectory
CS
HQ
from
1990
to
2020,
while
SR
experiences
some
fluctuations.
distribution
exhibits
high
levels
southwest
low
northeast.
(2)
most
sensitive
regions
where
pronounced
occur
primarily
newly
construction
southwestern
mountainous
hilly
areas.
regions,
there
often
observed
SR,
as
well
SR.
Conversely,
predominantly
negative
synergy
mainly
HQ.
terrain,
due
changes
landscape
patterns,
exhibit
higher
relationships.
(3)
LULC
significant
driver
ESs,
area,
necessitating
integrated
research
economic,
social
climate
perspectives.
