Sustainability,
Journal Year:
2025,
Volume and Issue:
17(2), P. 544 - 544
Published: Jan. 12, 2025
The
wetland
ecosystem
is
one
of
the
most
important
carbon
sinks
on
Earth,
biodiverse
ecological
landscape
in
nature,
and
living
environments
for
human
beings.
Weihe
River
located
Guanzhong
Plain
urban
agglomeration,
with
extreme
climate
expansion
having
a
great
impact
its
dynamic
changes.
Revealing
characteristics
trends
dynamics
Basin
key
to
protecting
maintaining
healthy
development
wetlands.
This
paper
analyzed
changing
land
use
types
patterns
wetlands
using
data
from
six
periods
1980
2020
explored
spatial
temporal
distribution
changes
Basin.
results
showed
following:
(1)
Wetlands
Basin,
dominated
by
rivers,
saw
area
fluctuations
an
initial
decline
followed
increase.
Land
slow–fast–slow
trend.
(2)
From
2020,
frequent
conversions
among
were
observed.
primary
transformation
was
conversion
marshes
into
lakes
(18.05
km2)
reservoirs/ponds
(17.98
km2).
Approximately
0.06
km2
transformed
canals/channels.
(3)
patches
have
largest
area,
while
canals/channels
smallest.
patch
density
(PD)
shape
index
(LSI)
fluctuate
significantly,
reduction
leads
3.46%
decrease
aggregation
(AI).
Shannon’s
diversity
(SHDI)
has
decreased
5.41%.
(4)
centroid
experiences
significant
changes,
river
are
complex.
along
southeast–northwest
line.
Canals/watercourses
remain
stable.
Lakes
exhibit
longest
migration.
study
provides
robust
scientific
support
protection,
policy
formulation,
social
sustainable
conducting
in-depth
analysis
change
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
80, P. 102459 - 102459
Published: Jan. 8, 2024
Tourism
ecological
adaptation
(TEA)
offers
a
novel
research
framework
and
practical
tool
for
analyzing
sustainable
regional
development.
This
facilitates
high-quality
tourism
development,
safeguards
the
ecosystem,
enhances
risk
resilience.
However,
existing
TEA
has
shortcomings
regarding
methodology
scales.
study
constructed
index
system
to
address
these
deficiencies.
The
comprises
two
subsystems,
industry
(TIA)
environment
(EEA),
including
three
dimensions:
sensitivity,
stability,
response.
entropy-weighted
TOPSIS
method,
assessment
model,
standard
deviation
ellipse,
geographic
detector
were
used
analyze
spatiotemporal
evolution
driving
factors
of
in
Dongting
Lake
area,
China,
from
2012
2021.
TIA
displays
rise-fall-rise
pattern,
whereas
EEA
demonstrates
fluctuating
upward
trend.
Additionally,
exhibits
distinctive
basin-type
spatial
distribution
with
lower
values
central
region
higher
surrounding
areas.
Over
past
decade,
ellipses
adaptability
have
shown
minimal
changes
shape,
position,
center.
Both
clustering
center
positions
reached
state
basic
equilibrium.
predominant
type
was
characterized
by
low
adaptation,
41.18%
counties.
is
driven
resource
endowment,
government
regulatory
efforts,
level
economic
environmental
governance
capacity
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2235 - 2235
Published: March 7, 2024
The
dynamic
changes
in
land
use/cover
(LULC)
significantly
influence
carbon
storage,
and
assessing
the
vulnerability
of
storage
services
different
basins
is
crucial
for
a
comprehensive
understanding
impacts
human
activities
on
ecosystems.
objective
this
study
to
propose
framework
optimizing
LULC,
simulating
by
integrating
MOP,
PLUS,
InVEST
models.
results
show
that
forests
play
role
enhancing
Yangtze
River
Basin
(YRB).
Carbon
upper
reaches
YRB
rise,
counteracting
decrease
caused
expansion
built-up
land.
However,
middle
lower
YRB,
LULC
has
negative
impact
ecosystem
services.
Under
natural
development
scenarios,
projected
68.84
×
106
tons,
leading
increased
scenario
ecological
economic
balance,
expected
increase
97
tons.
In
future,
while
restricting
expansion,
emphasis
should
be
placed
expanding
forest
areas
more
effectively
enhance
basins.
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 347 - 347
Published: Feb. 8, 2025
Vast
rural
populations
squeezed
into
cities,
leaving
small
townships
hollowed
out.
Even
so,
some
townships’
lands
are
still
expanding.
The
dilemma
of
land
expansion
with
a
shrinking
population
raises
various
challenges
including
farmland
reduction.
Much
the
current
research
on
impervious
has
focused
urban
areas,
while
were
often
neglected.
Based
high-resolution
satellite
data
and
statistic
in
1993–2018,
this
study
explored
long-term
township
dynamics
real-world
relationship
their
for
17
first-batch-of-strong-tourism
counties
China.
results
showed
that
over
past
26
years,
there
had
been
an
increasing
trend
areas
counties.
There
diseconomies
scale
expansion,
i.e.,
township’s
became
less
efficient
population.
area
was
predominantly
converted
from
cropland
(ranging
16.40%
to
71.96%).
highlands
also
increasing,
although
most
growth
occurred
lowlands.
patterns
mainly
dominated
by
infilling
edge-expansion
during
early
stage,
after
which
leapfrogging
occurred,
increased
again
recent
years.
Townships
“closer”
accessibility
tourist
attractions
largest
fastest
rate
influence
townships.
These
needed
customized
development
its
unique
natural
conditions.
This
could
provide
data-based
evidence
better
planning
governing
promote
sustainable
worldwide.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(6), P. 1008 - 1008
Published: March 13, 2025
Anthropogenic
and
climatic
stresses
threaten
water
security
across
the
Yangtze
River
Basin
(YZRB),
which
safeguards
population
economic
development
that
is
responsible
for
nearly
half
China’s
GDP.
Understanding
trends
drivers
of
open
surface
in
YZRB
crucial
yet
remains
poorly
investigated.
This
study
proposes
a
new
method
to
eliminate
shadow
impacts
on
extraction,
achieving
96%
accuracy,
develops
long-term
dataset
from
1986
2022
using
Landsat
imagery
Google
Earth
Engine
platform.
Trends
area
changes
were
analyzed
source
region,
typical
river
lake
dominated
regions
YZRB,
partial
least
squares
regression
was
used
attribute
major
anthropogenic
change.
The
results
show
generally
increased
by
39.88%,
with
divergent
regions.
Source
both
exhibited
notable
growths
49.43%
37.01%,
respectively.
Increases
region
comes
lakes
rivers,
driven
increasing
temperature
precipitation
permafrost
regions,
while
increases
come
permanent
induced
construction
mega
dams.
Changes
body
are
mainly
influenced
seasonal
varied
trends.
Poyang
Dongting
have
decreasing
area,
3354.24
2168.82
km2
1504.79
850.47
km2,
respectively,
attributed
impoundment
Three
Gorges
Reservoir
alterations
patterns.
While
Tai
Lake
experienced
an
increase
2003
due
expanded
bodies,
it
followed
decline
after
urbanization.
We
therefore
suggest
systematically
optimizing
reservoir
dispatching
land–water
configurations
balance
economic,
societal,
environmental
benefits.
Water,
Journal Year:
2024,
Volume and Issue:
16(9), P. 1273 - 1273
Published: April 29, 2024
Dongting
Lake
wetland
is
a
typical
lake
in
the
Middle
and
Lower
Yangtze
River
Plain
China.
Due
to
influence
of
natural
human
activities,
landscape
pattern
has
changed
significantly.
This
study
used
12
Landsat
images
from
1991
2022
applied
three
common
classification
methods
(support
vector
machine,
maximum
likelihood,
CART
decision
tree)
extract
classify
information,
with
latter
having
superior
annual
accuracy
over
90%.
Based
on
tree
results,
dynamic
characteristics
spatial
patterns
were
analyzed
through
index,
degree
model,
transition
matrix
model.
Redundancy
grey
correlation
analysis
employed
investigate
driving
factors.
The
results
showed
increased
fragmentation,
reduced
heterogeneity,
complexity
2022.
water
mudflat
areas
exhibited
distinct
stages:
gradual
decline
until
2001
(−3.06
km2/a);
sharp
decrease
2014
(−19.44
steady
increase
(22.93
km2/a).
Vegetation
conversion,
particularly
between
sedge
reed,
dominated
change
pattern.
Reed
area
initially
(18.88
km2/a),
then
decreased
(−35.89
while
opposite
trend.
Woodland
fluctuated,
peaking
2016
declined
by
construction
Three
Gorges
Dam
significantly
altered
dynamics
level
changes,
reflected
4.03%
comprehensive
during
2001–2004.
Potential
evaporation
also
emerged
as
significant
factor,
exhibiting
negative
index.
During
1991–2001
2004–2022,
explanatory
rates
temperature,
precipitation,
potential
evaporation,
88.56%
52.44%,
respectively.
Other
factors
like
policies
socio-economic
played
crucial
role
change.
These
findings
offer
valuable
insights
into
evolution
mechanisms
wetland.
