Land,
Journal Year:
2024,
Volume and Issue:
13(10), P. 1572 - 1572
Published: Sept. 27, 2024
The
Ebinur
Lake
Basin
(ELB),
which
is
a
typical
watershed
in
an
arid
region,
has
extremely
delicate
natural
ecosystem.
Rapid
urbanisation
and
economic
growth
have
triggered
substantial
ecological
environmental
transformations
this
key
hub
of
Xinjiang.
However,
comprehensive
systematic
knowledge
the
evolving
conditions
ELB
remains
limited.
Therefore,
study
modelled
landscape
risk
index
(LERI)
using
land
use/land
cover
(LULC)
data
from
1985
to
2022
assessed
drivers
(LER)
geographical
detector
model
(GDM).
findings
revealed
that
(1)
2022,
construction
land,
cropland,
forestland
areas
increased,
whereas
those
water
bodies,
grasslands,
barren
decreased.
(2)
Between
LER
showed
downward
trend.
Spatially,
was
predominantly
characterised
by
lower
lowest
levels.
higher
highest
status
been
around
lake
continued
improve
each
year.
(3)
Climatic
factors,
particularly
temperature
precipitation,
were
identified
as
most
significant
change
2022.
provide
crucial
scientific
for
advancing
sustainable
development
maintaining
security
ELB.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
81, P. 102641 - 102641
Published: May 8, 2024
The
middle
reaches
of
the
Yellow
River
basin
(MYRB)
are
among
regions
most
severely
affected
by
soil
erosion
globally.
It
has
always
held
a
pivotal
role
in
and
water
conservation
ecological
restoration
efforts
China.
Nonetheless,
face
recurrent
drought
occurrences
growing
human
intervention,
there
have
been
notable
alterations
eco-environmental
quality
(EEQ)
within
MYRB.
However,
influences
intervention
on
EEQ
MYRB
remain
unclear.
In
this
study,
remote
sensing
index
(RSEI)
was
applied
to
quantify
spatiotemporal
changes
contributions
land
use
type
transitions
from
1990
2022.
results
showed
that
fluctuated
significantly
exhibited
weak
overall
improvement
trend
over
past
33
years.
proportion
good
excellent
grades
for
improved,
while
poor
fair
decreased,
especially
northern
regions.
follows
phased
pattern.
During
periods
1990–2002
2011–2022,
an
improving
is
observed,
period
2003–2010
shows
no
significant
change
EEQ.
Drought
had
strongest
influence
2003
2010,
followed
2002,
lesser
impact
2011
primarily
positively
influenced
spring,
autumn
winter
droughts
negatively
summer
droughts,
arid
grassland
unused
areas.
improved
during
initial
final
phases
projects,
with
drought.
increase
project
implementation
less
noticeable,
period.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
162, P. 112053 - 112053
Published: April 19, 2024
Landscape
ecological
risk
is
the
term
used
to
describe
potential
negative
effects
of
relationship
between
environmental
processes
and
landscape
structure
as
a
result
both
natural
human
interactions.
The
scientific
assessment
past
prediction
future
risks
landscapes
basis
for
achieving
sustainable
regional
development.
In
this
study,
we
built
an
measurement
system
characterized
by
variability
in
composition
reflect
components
risk.
particular,
CA-Markov
model
was
simulate
spatial
pattern
land
use
Sanjiang
Plain,
China,
under
wetland
protection
scenario.
evolution
spatiotemporal
trend
study
area
then
analyzed
(2011–2021)
(2021–2036)
periods.
results
identified
that
construction
land,
farmland,
water,
grassland
areas
exhibited
increasing
from
2011
2021,
while
forest
decreased
each
year.
From
2021
2036,
downward
trend,
other
types
maintained
same
previous
all
experienced
slowdown
degree
change.
major
levels
research
region
changed
medium-risk
low-risk
lower-risk
(2021–2036).
An
evident
decrease
observed
farmland
mid-region
district
forests
south.
contrast,
high-risk
higher-risk
regions
were
smaller
distributed
Songhua
River
basin
northeast
region,
nature
reserves,
Xingkai
Lake
area,
with
overall
reduction
59%.
Based
on
results,
propose
several
prevention
control
management
strategies.
This
acts
determining
Plain's
rational
distribution
resources
provides
example
similar
regions.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
163, P. 112120 - 112120
Published: May 11, 2024
Amidst
swift
socioeconomic
progress,
urbanization
is
intensifying,
necessitating
robust
methodologies
for
environmental
quality
monitoring.
Landscape
Ecological
Risk
(LER)
has
emerged
as
a
pivotal
tool
in
this
context.
Extensive
research
focused
on
the
land
utilization
rates
within
watersheds,
scrutinizing
them
through
lens
of
use/land
cover
(LULC)
dynamics.
This
study
delves
into
LULC
attributes
Bosten
Lake
Basin
(BLB)
across
three
temporal
snapshots:
2000,
2010,
and
2020.
Grasslands
bare
ground
made
up
vast
majority
area
BLB.
Selected
twelve
landscape
pattern
indices,
analyzed
their
response
curves
with
respect
to
grain
size,
determined
optimal
size
be
150
m,
analysed
its
optimum
amplitude
10
km
×
basis
semi-variance
function,
thus
scale
analyzing
pattern.
Exploring
effect
facilitates
nuanced
examination
patterns
use
efficacy
From
2000
2020,
showed
less
fragmented,
aggregated,
more
spatially
heterogeneous.
The
ecological
risk
index
model
been
constructed
investigation
LER
change
characteristics
Lowest-risk
zones
lower-risk
predominate
In
2010
2020
combined
lower
lowest
represent
62.02
%,
59.37
%
58.44
catchment
respectively.
Finally,
spatial
autocorrelation
variation
LER.
global
Moran'
I
BLB
periods
from
exceeded
0.7.
establishes
theoretical
practical
foundation
future
multi-scale
studies
eco-fragile
regions.
Forests,
Journal Year:
2024,
Volume and Issue:
15(4), P. 700 - 700
Published: April 15, 2024
Examining
the
Saihanba
Mechanical
Forest
Farm,
this
study
utilized
Landsat
remote
sensing
data
from
1987,
1997,
2001,
2013,
and
2020
to
interpret
land
use
Support
Vector
Machine
(SVM)
method,
decipher
evolving
patterns
over
last
four
decades.
Grounded
in
landscape
ecology
theory,
an
innovative
evaluation
index
for
ecological
risk
was
introduced,
leading
delineation
of
382
units.
Employing
pattern
indices
a
method
spatial
autocorrelation,
we
analyzed
temporal
distribution
characteristics
correlation
across
five
distinct
periods.
Geostatistical
approaches
were
used
explore
driving
factors
risk.
The
results
indicate
that
since
there
have
been
significant
changes
types,
especially
forest
landscapes,
their
proportion
increasing
23.19%
74.55%.
In
high-risk
areas
72.30%,
but
2020,
had
significantly
decreased
clustered
specific
locations.
risks
each
period
area
showed
positive
tended
gather
space.
After
comprehensive
exploration
using
geographic
detector,
found
type,
temperature,
vegetation
coverage
are
main
factors.
Among
them,
type
has
greatest
impact
on
works
together
with
slope,
aspect,
precipitation.
farm
management,
only
adaptation
adjustment
single
often
paid
attention
to,
while
compound
effects
multiple
ignored.
bring
important
reference
value
operation
development
farms.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 10, 2024
Abstract
Since
the
reform
and
opening
up
in
1978,
Dasi
River
Basin
within
Jinan’s
startup
area
from
replacing
old
growth
drivers
with
new
ones
(startup
area)
has
experienced
rapid
urbanization
industrialization,
landscape
pattern
changed
significantly,
resulting
a
series
of
eco-environmental
problems.
In
order
to
more
accurately
identify
vulnerable
areas
pattern,
understand
their
cause
mechanism
changing
laws,
provide
theoretical
basis
for
implementation
sustainable
planning
management
region.
Four
Landsat
images
2002,
2009,
2015
2020
were
taken
as
data
sources,
optimal
granularity
analysis
was
determined
perspective
level
class
by
using
coefficient
variation
method,
effect
curve
information
loss
model,
amplitude
grid
method
semi-variance
function.
Then,
vulnerability
assessment
model
constructed
based
on
scale,
its
spatiotemporal
evolution
characteristics
spatial
autocorrelation
analyzed.
The
result
showed
that:
(1)
this
study
80
m,
350
×
m.
(2)
During
2002–2020,
overall
southern
part
an
increasing
trend,
while
that
middle
northern
parts
decreasing
trend.
(3)
mean
values
index
0.1479,
0.1483,
0.1562
0.1625,
respectively,
showing
trend
year
year.
terms
land
use,
during
average
indices
forestland
built
increased
23.18%
21.43%,
followed
water
body
bare
land,
12.18%
9.52%,
changes
cropland
grassland
relatively
small,
5.36%
5.65%,
respectively.
(4)
significant
positive
correlation
distribution.
Low-Low
generally
transferred
southeastern
midwestern
northern,
High–High
mainly
southern.
Overall,
degree
agglomeration
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 18, 2025
The
Beijing-Tianjin-Hebei
major
mineral
belt
represents
a
significant
economic
development
area
in
China.
Effective
monitoring
and
assessment
of
the
regional
landscape
ecological
risk
can
provide
scientific
basis
for
an
protection
strategy
environmental
belt.
In
this
study,
index
was
constructed
based
on
land
use/land
cover,
spatial
temporal
variations
were
subsequently
analyzed.
Furthermore,
contribution
main
driving
factors
quantified
results
demonstrate
that:
(1)
use
types
within
study
underwent
changes
from
1985
to
2022.
predominant
type
transfer
cropland,
which
primarily
converted
construction
land,
grassland,
woodland.
(2)
central-northern
western
parts
is
higher,
while
southwest
lower.
Using
2015
as
time
point,
found
change,
with
average
value
all
classes
2015-2022
being
lower
than
that
1985-2015,
exception
high-risk
area.
mean
annual
obviously
higher
during
1985-2015
period
comparison
period,
regions
exhibiting
high
risk.
(3)
There
positive
correlation
between
risks
different
periods.
pattern
exhibits
both
'high-high'
aggregation
'low-low'
aggregation.
aggregations
are
located
northern,
central
area,
zones
mainly
southeastern
region.
(4)
distribution
predominantly
shaped
by
population
density
slope.
context
interactive
factor
detection,
interaction
slope
temperature,
night-time
illumination
slope,
precipitation
identified
exerting
more
influence
observed
differentiation
It
multiple
drivers
had
pronounced
impact
any
single
factor.
findings
research
project
rationale
reference
future
use,
resource
optimization,
differential
management
restoration.
considerable
importance
terms
maintaining
security
patterns.
