Sustainability,
Год журнала:
2024,
Номер
16(13), С. 5481 - 5481
Опубликована: Июнь 27, 2024
Changes
to
land
use
carbon
emissions
(LUCEs)
have
become
significant
contributors
increasingly
severe
climate
issues.
Land
change
is
one
of
the
crucial
factors
that
affect
emissions.
Alpine
meadows
regions
are
sensitive
and
human
activities.
However,
current
research
on
LUCEs
mainly
focuses
analyzing
present
status
spatial
patterns.
To
reveal
forecast
future
in
alpine
region,
Upper
Yellow
River
Gannan
(UYRG)
was
used
as
a
case
study.
Based
data
from
1990
2020,
we
multi-scenario
PLUS
model
predict
types
2030
analyzed
temporal
dynamic
trends
2030.
The
results
showed
strong
correlation
between
predicted
actual
types,
with
Kappa
value
0.93,
indicating
applicability
predicting
UYRG.
Over
study
period,
construction
expanded,
while
woodland
grassland
diminished.
Carbon
(CEs)
increased
by
516.4%
−200,541.43
Mg
CO2e
835,054.08
being
main
contributor.
In
Natural
Development
scenario
for
2030,
expanded
most
rapidly,
resulting
highest
LUCEs.
Ecological
Protection
scenario,
decreased,
leading
an
expansion
sinks.
Cropland
cropland
CEs
falling
other
two
scenarios.
These
findings
lay
theoretical
groundwork
formulating
policies
addressing
meadows,
providing
valuable
insights
further
studies.
Sustainability,
Год журнала:
2025,
Номер
17(4), С. 1420 - 1420
Опубликована: Фев. 9, 2025
Land
use/land
cover
(LULC)
change
has
greatly
altered
ecosystem
carbon
storage
capacity
and
may
eventually
profoundly
impact
global
climate
change.
Characterizing
the
LULC
its
on
wetland
stock
provides
useful
data
insights
that
can
guide
decision-making
procedures
aimed
at
achieving
sustainable
development
objectives.
The
Yellow
River
Delta
(YRD)
represents
most
intact
coastal
is
considered
to
be
recent
in
China.
It
exhibits
significant
ecological
value.
Based
of
YRD
2002,
2007,
2012,
2017,
2022,
this
paper
quantitatively
evaluates
spatiotemporal
changes
region
analyzes
response
characteristics
results
show
reductions
cropland
tidal
flat
areas
from
2002
resulting
a
decrease
1,428,735.77
t
an
increase
139,856.58
stock,
respectively.
built-up
land
area
expanded
considerably,
was
lost
by
1,467,915.82
t.
Spatially,
exhibited
pattern
“low
along
coast,
high
inland;
low
center,
around
periphery”.
In
addition,
protecting
cropland,
reducing
building,
facilitating
conversion
reservoirs
ponds
forest,
transforming
wetlands
into
region’s
capacity.
These
findings
provide
valuable
for
regional
management
strategies
protection
policies,
supporting
goals
Delta.
Climate
issues
significantly
impact
people’s
lives,
prompting
governments
worldwide
to
implement
energy-saving
and
emission-reducing
measures.
However,
many
areas
lack
carbon
emission
data
at
the
lower
administrative
divisions.
Additionally,
inconsistency
in
standards,
scope,
accuracy
of
dioxide
statistics
across
different
regions
makes
mapping
spatial
patterns
complex.
Nighttime
light
(NTL)
combined
with
land
use
enable
detailed
temporal
disaggregation
a
finer
level,
facilitating
scientifically
informed
policy
formulation
by
government.
Differentiating
sector
will
help
us
further
identify
efficiency
sectors
environmental
regulators
most
cost-effective
emission-reduction
strategy.
This
study
uses
integrated
remote-sensing
estimate
emissions
from
fossil
fuels
(CEFs).
Experimental
results
indicate
(1)
that
regional
CEF
can
be
calculated
combining
NTL
Landuse
has
good
fit;
(2)
high-intensity
area
is
mainly
concentrated
Shanghai
its
surrounding
areas,
showing
concentric
circle
structure;
(3)
there
are
obvious
differences
distribution
characteristics
among
departments;
(4)
hot
spot
analysis
reveals
three-tiered
Yangtze
River
Delta,
increasing
west
east
distinct
characteristics.
Life,
Год журнала:
2025,
Номер
15(3), С. 466 - 466
Опубликована: Март 14, 2025
This
study
investigates
the
effects
of
different
land-use
types
(forest,
arable
land,
and
wetland)
on
key
soil
properties,
microbial
communities,
nitrogen
cycling
in
Lesser
Khingan
Mountains.
The
results
revealed
that
forest
(FL)
wetland
(WL)
soils
had
significantly
higher
organic
matter
(SOM)
content
compared
with
land
(AL),
total
phosphorus
(TP)
being
highest
FL
available
(AN)
WL.
In
terms
enzyme
activity,
AL
WL
showed
reduced
activities
ammonia
monooxygenase
(AMO),
β-D-glucosidase
(β-G),
β-cellobiosidase
(CBH),
while
exhibiting
increased
N-acetyl-β-D-glucosaminidase
(NAG)
highlighting
impact
use
dynamics.
also
exhibited
diversity
evenness
AL.
dominant
bacterial
phyla
included
Actinobacteriota,
Proteobacteria,
Acidobacteriota,
Acidobacteriota
most
abundant
Proteobacteria
Network
analysis
complex
connected
network,
simpler
but
more
stable
networks,
suggesting
influence
community
interactions.
Regarding
genes,
AOA-amoA
was
AL,
AOB-amoA
enriched
FL,
reflecting
oxidation.
These
findings
highlight
how
affect
structures,
cycling,
offering
valuable
insights
for
sustainable
management.
