Land Degradation and Development,
Journal Year:
2024,
Volume and Issue:
35(11), P. 3552 - 3566
Published: May 20, 2024
Abstract
Understanding
the
evolutionary
patterns
of
ecological
quality
in
transport
corridor
areas
and
their
driving
mechanisms
is
essential
for
maintaining
regional
sustainable
development.
However,
an
integrated
assessment
ecology
plateau
corridors
still
lacking.
This
study
focuses
on
Sino‐Nepalese
Transport
Corridor
(SNTC)
comprehensively
evaluates
spatio‐temporal
evolution
eco‐environmental
from
2000
to
2021
based
remote
sensing
data
quantifies
explores
potential
factors.
The
results
indicate
significant
spatial
heterogeneity
SNTC,
with
overall
bipolar
“northeast‐southwest”
distribution
pattern.
area
poor
worse
largest
(32,471.75
km
2
),
accounting
about
47.20%
total
distributed
bare
land
Yarlung
Tsangpo
River
valley.
From
2021,
showed
initial
decline
then
increase,
a
relatively
gentle
trend.
increase
index
Region
(I)
0.314
first
10
years
0.334
second
years,
6.37%,
was
mainly
attributed
afforestation
projects
“One
two
tributaries
Nature
Reserve”
region.
SNTC
influenced
by
multiple
factors
including
human
activities,
climate,
topography.
Grazing
intensity,
population
density,
digital
elevation
model
are
main
negative
disturbance
factors,
while
temperature,
precipitation,
gross
domestic
product,
promote
quality.
In
particular,
partially
offset
impact
activities.
These
will
provide
useful
information
understanding
complex
effects
activities
natural
region
formulating
conservation
policies.
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.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(2), P. 411 - 411
Published: Jan. 20, 2024
The
Yangtze
River
Basin
(YZRB)
and
the
Yellow
(YRB),
which
are
crucial
for
ecology
economy
in
China,
face
growing
challenges
to
ecosystem
service
(ES)
functions
due
global
population
growth,
urbanization,
climate
change.
This
study
assessed
spatiotemporal
dynamics
of
ESs
YZRB
YRB
between
2001
2021,
comprehensively
encompassing
essential
aspects
such
as
water
yield
(WY),
carbon
sequestration
(CS),
soil
conservation
(SC),
habitat
quality
(HQ)
while
also
analyzing
trade-offs
synergies
among
these
at
grid
cells.
GeoDetector
was
employed
ascertain
individual
or
interactive
effects
natural
anthropogenic
factors
on
their
trade-offs/synergies.
results
showed
that
(1)
from
four
exhibited
significant
spatial
disparities
distribution
within
two
basins,
with
overall
trend
mainly
increasing.
consistently
substantially
higher
ES
values
than
YRB.
(2)
Complex
were
apparent
both
characterized
by
distinct
heterogeneity.
relationships
WY–CS,
WY–SC,
CS–SC,
CS–HQ
synergistic.
(3)
Precipitation,
potential
evapotranspiration,
elevation,
land
use
cover
(LULC),
slope
influenced
basins.
Notably,
factors,
particularly
interactions
involving
LULC
other
demonstrated
more
robust
explanatory
power
trade-offs/synergies
drivers.
These
findings
significantly
affect
refined
management
sustainable
development
decision-making
large
rivers
regions.
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.
Land,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1009 - 1009
Published: July 7, 2024
During
the
rapid
urbanization
phase,
trade-off
between
ecosystem
services
is
most
severe
and
also
effective
stage
to
implement
ecological
management.
Exploring
natural—social
driving
mechanisms
for
trade-offs
contributes
coordinated
development
of
social
economy
nature.
Taking
typical
mountainous
city
(Yibin)
that
currently
in
phase
ecologically
fragile
as
an
example,
utilizing
a
combination
difference
comparison,
trade-off–synergy
index
(TSI),
optimal-parameter-based
geographical
detector
model
(OPGD),
multi-scale
geographically
weighted
regression
(MGWR),
we
spatially
assess
nature
intensity
ES
relationships
explore
its
social–natural
mechanisms.
Our
findings
reveal
following:
(1)
Varied
geospatial
patterns
four
ESs—habitat
quality
(HQ),
carbon
storage
(CS),
soil
conservation
(SC),
water
yield
(WY)—with
greatest
fluctuations
WY.
(2)
Significant
changes
over
time,
showing
predominant
positive
synergies
WY-HQ,
WY-SC,
HQ-CS,
negative
HQ
SC,
WY-CS
SC-CS.
(3)
Distinct,
time-varying
factors
different
relationships:
climate
topography
WY,
vegetation
CS,
economic
HQ,
SC.
Rapid
has
diminished
role
natural
factors.
(4)
The
coefficients
local
various
factors,
based
on
which
targeted
recommendations
can
be
proposed.
For
instance,
establishment
interconnected
small
wetlands
green
spaces
urban
areas
enhancement
multiple
ESs.
purpose
this
study
provide
scientific
insights
into
optimizations
key
services’
are
undergoing
urbanization.
Land,
Journal Year:
2024,
Volume and Issue:
13(3), P. 369 - 369
Published: March 14, 2024
Clarifying
the
spatio-temporal
patterns
of
ecosystem
services
trade-off/synergy
relationships
(ESTSs)
and
their
attribution
in
Yellow
River
Basin
is
crucial
to
constructing
ecological
civilization
China.
This
study
first
analyzed
change
(ESs)
including
water
yield,
soil
conservation,
carbon
sequestration,
habitat
quality
during
2000–2020
based
on
InVEST
RUSLE
models.
Then,
spatial
autocorrelation
methods
were
used
quantify
differentiation
ESTSs,
Geo-detector
method
was
employed
identify
contributions
driving
factors
associated
with
natural,
social-economic,
regional
policy
aspects
ESTSs.
Finally,
random
forest
analysis
variance
validate
reasonability
major
obtained
by
Geo-detector.
The
main
findings
include:
(1)
In
2000–2020,
increased,
sequestration
decreased.
ESs
had
a
pattern
high
east
low
west.
(2)
Overall,
there
synergistic
between
four
Ess.
distribution
expansion
synergy
zone
trade-off
occupied
majority.
zones
tended
be
concentrated
northwest
southeast
area.
contrast,
more
scattered
than
zone,
mainly
focused
east-central
southwestern
parts
Basin.
(3)
both
showed
that
natural
strong
explanatory
power
which
NDVI
key
driver.
Both
results
interactions
exerted
most
significant
influence
followed
interaction
socio-economic
factors.