Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: June 2, 2023
Land-use
changes
have
received
increasing
attention
since
the
1990s.
Cultivated
land
is
a
vital
resource
with
both
natural
and
economic
features.
Socioeconomic
development
profoundly
affects
spatiotemporal
evolution
of
cultivated
land.
In
turn,
change
also
reflects
socioeconomic
trend.
This
study
took
Haikou
City,
which
has
highest
degree
urbanization
in
Hainan
Province,
as
area,
analyzed
characteristics
its
resources
during
past
20
years
rapid
development,
predicted
future
trends
on
this
basis,
to
provide
scientific
reference
for
rational
use
sustainable
Haikou.
applied
single
land-use
dynamic
(SLUDD)
transfer
matrix
explore
from
2000
2020.
The
patch-generating
simulation
(PLUS)
model
was
introduced
predict
patterns
under
different
scenarios
2030.
results
showed
that:
(1)
although
contributed
Haikou's
rate
over
years,
accompanying
expansion
construction
caused
damage
resources,
especially
urban
suburbs.
Site
conditions,
differential
benefits,
radiation
may
be
potential
influencing
factors
leading
loss
peri-urban
land;
(2)
it
verified
that
PLUS
applies
prediction
Haikou;
(3)
not
only
continued
original
zone
but
exposed
new
sites
loss.
Although
an
inevitable
trend,
there
still
hope
can
controlled,
example,
conservation
scenario.
three
essential
values
maintenance
security
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(16), P. 4050 - 4050
Published: Aug. 16, 2023
Studying
the
spatiotemporal
distribution
pattern
of
carbon
storage,
balancing
land
development
and
utilization
with
ecological
protection,
promoting
urban
low-carbon
sustainable
are
important
topics
under
China’s
“dual
strategy”
(Carbon
emissions
stabilize
harmonize
natural
absorption).
However,
existing
research
has
paid
little
attention
to
impact
use
changes
different
spatial
policies
on
provincial-scale
ecosystem
storage.
In
this
study,
we
established
a
density
database
for
Liaoning
Province
obtained
temporal
storage
over
past
20
years.
Then,
based
16
driving
factors
multiple
in
Province,
predicted
cover
(LUCC)
three
scenarios
2050
analyzed
characteristics
response
mechanisms
scenarios.
The
results
showed
that
(1)
LUCC
directly
affected
35.61%
increase
construction
decrease
0.51
Tg
20-year
period.
(2)
From
2020
2050,
varied
significantly
among
trend
scenario
(NTS),
restoration
(ERS),
economic
priority
(EPS),
values
2112.05
Tg,
2164.40
2105.90
respectively.
Carbon
exhibited
positive
growth,
mainly
due
substantial
forest
area.
(3)
was
characterized
by
“low
center,
high
east,
balanced
west”.
Therefore,
can
consider
rationally
formulating
strictly
implementing
policy
protection
future
planning
so
as
control
disorderly
growth
land,
realize
area,
effectively
enhance
ensure
realization
goal
strategy”.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(6), P. 671 - 671
Published: May 31, 2024
With
the
ongoing
advancement
of
globalization
significantly
impacting
ecological
environment,
continuous
rise
in
Land
Surface
Temperature
(LST)
is
increasingly
jeopardizing
human
production
and
living
conditions.
This
study
aims
to
investigate
seasonal
variations
LST
its
driving
factors
using
mathematical
models.
Taking
Wuhan
Urban
Agglomeration
(WHUA)
as
a
case
study,
it
explores
characteristics
employs
Principal
Component
Analysis
(PCA)
categorize
factors.
Additionally,
compares
traditional
models
with
machine-learning
select
optimal
model
for
this
investigation.
The
main
conclusions
are
follows.
(1)
WHUA’s
exhibits
significant
differences
among
seasons
demonstrates
distinct
spatial-clustering
different
seasons.
(2)
Compared
geographic
spatial
models,
Extreme
Gradient
Boosting
(XGBoost)
shows
better
explanatory
power
investigating
effects
LST.
(3)
Human
Activity
(HA)
dominates
influence
throughout
year
positive
correlation
LST;
Physical
Geography
(PG)
negative
Climate
Weather
(CW)
show
similar
variation
PG,
peaking
transition;
Landscape
Pattern
(LP)
weak
LST,
winter
while
being
relatively
inconspicuous
summer
transition.
Finally,
through
comparative
analysis
multiple
constructs
framework
exploring
features
aiming
provide
references
guidance
development
WHUA
regions.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
158, P. 111611 - 111611
Published: Jan. 1, 2024
The
quality
of
the
habitats
and
ecosystem
services
are
significantly
impacted
by
ecological
land
fragmentation
brought
on
human
activities.
However,
specific
driving
mechanism
comprehensive
landscape
habitat
is
still
unclear.
This
study
took
cities
Suzhou,
Wuxi,
Changzhou
along
Taihu
Lake
basin
as
its
research
region.
spatiotemporal
variations
in
their
relationship
with
were
explored
land-use
dynamic
rate,
transfer
matrix,
indices,
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
model,
Geographically
Temporally
Weighted
Regression
(GTWR)
model
during
2000–2020
period.
findings
revealed
that:
(1)
On
whole,
area
rose,
northern
eastern
areas
region
had
greatest
transformations
use/land
cover
(LULC).
(2)
Within
period,
index
showed
a
fluctuating
growth
trend,
there
regions
large
high
value
clustered.
(3)
In
whole
deteriorated,
more
concentrated
degradation
seen
around
woodland
construction
land.
(4)
Numerous
factors
contributed
to
regional
temporal
changes
effect
varied
between
regions.
These
could
provide
theoretical
guidance
for
protection,
improvement,
restoration
similar
environments.
Land,
Journal Year:
2023,
Volume and Issue:
12(1), P. 186 - 186
Published: Jan. 6, 2023
The
topographic
differentiation
patterns
of
changes
in
habitat
quality
are
great
significance
for
the
scientific
formulation
environmental
protection
policies
mountainous
areas.
Here,
distribution,
changing
trends,
and
effects
gradient
on
were
studied
using
InVEST
model,
distribution
index,
Mann–Kendall
test.
results
showed
that
at
p
<
0.05
(Z
=
1.67),
from
2000
to
2020
three
types
trends
(significant
decline,
non-significant
change,
significant
increase),
accounting
22.2%,
41.8%,
36%
changes,
respectively.
Because
livelihood
structure
local
residents
geological
disasters
high-elevation
areas,
this
terrain
was
predominant
area
showing
a
decline
quality.
Thanks
consolidation
projects
natural
forest
resources,
return
farmland
forest,
implementation
protecting
low-lying
topography
increase
middle
position
no
Based
analysis,
ecological
management
measures
high-,
medium-,
low-elevation
areas
suggested.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(3), P. e14430 - e14430
Published: March 1, 2023
The
Yellow
River
basin
is
an
important
area
for
China
to
implement
ecological
protection
policies.
Studying
the
habitat
quality
of
floodplain
great
significance
security
and
sustainable
development
entire
basin.
This
study
primarily
investigated
spatial
pattern
in
from
2000
2020,
then,
we
also
simulated
changes
2025–2035
analyzed
influencing
factors
by
coupling
PLUS
(Patch-generating
Land
Use
Simulation)
model,
InVEST
(Integrated
Valuation
Ecosystem
Services
Trade-offs)
model
RF
(Random
Forest)
model.
results
showed
that:(1)
From
cultivated
land
build-up
constituted
part
area,
growth
rate
was
fast.
(2)
We
found
that
(forest
land,
grassland,
waterbody)
had
a
higher
contribution
value
quality,
while
lower
quality.
(3)
Overall,
degradation
trend
2020.
In
addition,
regions
with
low
accounted
major
proportion.
(4)
Based
on
calculation
Random
Forest
(RF)
topographical
relief
(TR)
use
intensity
(LUI)
were
two
most
affecting
area.
(5)
According
four
scenarios
2025
2035,
it
level
would
be
highest
under
scenario,
urban
scenario
its
lowest.
attempts
combine
improve
objectivity
accuracy
future
prediction
which
can
provide
scientific
reference
governance
policy
formulation
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 1, 2024
Abstract
The
Ebinur
Lake
Basin
is
an
ecologically
sensitive
area
in
arid
region.
Investigating
its
land
use
and
cover
(LULC)
change
assessing
predicting
ecosystem
service
value
(ESV)
are
of
great
importance
for
the
stability
basin's
socioeconomic
development
sustainable
ecological
environment.
Based
on
LULC
data
from
1990,
2000,
2010,
2020,
we
assessed
ESV
coupled
grey
multi-objective
optimization
model
with
patch
generation
simulation
to
predict
changes
2035
under
four
scenarios:
business-as-usual
(BAU)
development,
rapid
economic
(RED),
protection
(ELP),
ecological–economic
balance
(EEB).
results
show
that
1990
basin
was
dominated
by
grassland
(51.23%)
unused
(27.6%),
a
continuous
decrease
increase
cultivated
land.
In
thirty
years,
total
study
increased
18.62
billion
67.28
yuan,
regulation
support
services
being
dominant
functions.
By
2035,
while
decreased
all
scenarios
compared
2020.
BAU,
RED,
ELP,
EEB
68.83
billion,
64.47
67.99
66.79
respectively.
RED
scenarios,
2.81
0.49
BAU
scenario,
provisioning
6.05%
2.93%,
ELP
focusing
environmental
protection,
saw
services.
This
paper
can
assist
policymakers
optimizing
allocation
provide
scientific
formulation
strategies
inland
river
basins
regions.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
159, P. 111596 - 111596
Published: Jan. 25, 2024
Understanding
the
dynamic
relationship
between
ecosystem
service
supply
and
urbanization
demand,
identifying
underlying
influencing
mechanisms
are
crucial
for
sustainable
development
in
global
process.
However,
current
studies
mainly
focused
on
coupling
coordination
of
situation,
rather
than
system.
Thus,
we
introduced
concept
degree
(DCCD)
to
address
research
gap.
This
study
calculated
rates
composite
index
(ESSCI)
demand
(UDDCI)
from
2000
2020
construct
DCCD
model
case
Yangtze
River
Delta
region.
Subsequently,
analysed
inherent
causing
regional
differences
DCCD.
Our
results
indicated
that
(1)
ESSCI
UDDCI
showed
spatiotemporal
heterogeneity,
rate
had
significant
north
south,
decreased
east
west.
(2)
In
2020,
notable
existed
northern
southern
region,
with
zone
being
lower.
The
situation
improved
2005
2015.
(3)
Global
habitat
quality
a
impact
coordination.
north,
annual
water
yield
significantly
influenced
coordination,
while
carbon
sequestration
it.
These
factors
related
land
use.
We
into
old
achieve
goals.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111880 - 111880
Published: March 1, 2024
Large-scale
loss
and
fragmentation
of
natural
habitats
is
one
the
critical
factors
in
global
decline
biodiversity.
Habitat
quality
foundation
for
supporting
biodiversity,
so
exploring
mechanisms
by
which
habitat
affects
important
biodiversity
protection.
However,
little
known
about
specific
forms
that
various
processes
affect
quality.
Taking
China
as
an
example,
three
(the
decrease
area,
increase
isolation,
edge)
variations
were
quantitatively
assessed
from
2000
to
2020.
On
this
basis,
Pearson
coefficients,
Generalized
Additive
Model
(GAM)
Geographical
detector
employed
examine
linear\non-linear\combined
impacts
different
on
The
results
indicated
there
was
a
clear
trend
degradation
2000–2020.
56.94%,
42.33%,
50.89%
area
experienced
edge,
respectively,
63.12%
All
these
result
downward
form
showed
non-linear
characteristics.
isolation
consistently
had
significant
negative
influence
quality,
albeit
with
varying
strengths
at
segments.
While
edge
causes
overall
two
have
more
complex
relationship,
response
curves
varied
between
positive
correlations.
In
addition,
are
exacerbated
when
multiple
occur
simultaneously.
These
findings
reveal
inform
development
rational
landscape
planning
conservation
measures
China.
