Land,
Год журнала:
2024,
Номер
13(11), С. 1871 - 1871
Опубликована: Ноя. 8, 2024
Climate
warming
exacerbates
the
deterioration
of
soil
and
degradation
vegetation
caused
by
coastal
flooding,
impairing
ecosystem
climate-regulating
functions.
This
will
elevate
risk
carbon
storage
(CS)
loss,
further
intensifying
climate
change.
To
delve
deeper
into
this
aspect,
we
aimed
to
integrate
future
land
use/land
cover
changes
global
mean
sea-level
rise
assess
impact
floods
on
terrestrial
CS
under
effects
We
compared
10-year
(RP10)
100-year
(RP100)
return-period
in
2020
with
projected
scenarios
for
2050
SSP1-26,
SSP2-45,
SSP3-70,
SSP5-85.
The
study
findings
indicate
that
loss
flooding
China’s
zones
was
198.71
Tg
263.46
2020.
In
2050,
SSP3-70
scenarios,
is
increase
sequentially,
underscoring
importance
implementing
globally
coordinated
strategies
mitigating
change
effectively
manage
flooding.
value
expected
an
anticipated
97–525%
91–498%
(RP100).
highlights
essential
need
include
flood-induced
emission
management
assessments.
Frontiers in Environmental Science,
Год журнала:
2023,
Номер
10
Опубликована: Янв. 4, 2023
The
rapid
and
disorderly
expansion
of
urban
construction
land
has
exacerbated
the
contradiction
between
use
low-carbon
development.
In
this
paper,
we
spatial
autocorrelation
model
coupling
to
analyze
characteristics
coupled
coordination
degree
transfer
carbon
emissions
in
291
cities
China.
multi-scale
geographically
weighted
regression
(MGWR)
is
used
explore
heterogeneity
influence
socioeconomic
factors
on
their
degree.
results
show
that:
from
2005
2015,
scale
been
increasing
quantitatively
spatially
showing
a
shift
southeast
coast
central
western
regions.
2005,
2010,
global
Moran’s
I
are
0.3045,
0.3725,
0.3388,
respectively,
indicating
that
significant
positive
autocorrelation.
MGWR
indicates
at
different
time
nodes.
coefficients
NGR
have
obvious
stratification
characteristics,
with
decreasing
northeast
southwest.
high
coefficient
(0.924∼0.989)
GPC
mainly
distributed
region.
PD
ranges
0.464
0.918,
but
difference
northwest
obvious.
This
study
may
provide
new
clues
for
sustainable
development
reduction.
Ecological Indicators,
Год журнала:
2024,
Номер
158, С. 111521 - 111521
Опубликована: Янв. 1, 2024
River
basins
play
an
important
role
in
national
economic
development
and
ecological
security
can
be
well
expressed
by
ecosystem
services
(ESs)
research.
Due
to
rapid
population
growth
climate
change,
it
has
had
a
significant
impact
on
the
of
Yellow
Basin
(YRB).
Although
ESs
have
been
assessed
several
studies,
few
studies
used
composite
service
index
(CESI)
their
assessment.
Thus,
here,
based
InVEST
model,
bivariate
spatial
autocorrelation,
econometric
we
studied
YRB,
with
aim
build
CESI
for
evaluating
overall
YRB.
We
found
that
YRB
from
1990
year–2020
year
obvious
spatiotemporal
distribution
law
at
city
level
grid
scale,
showing
high
characteristic
southeast.
The
trend
also
showed
difference
regional
distribution.
There
was
positive
correlation
between
urbanization
indicators
reflected
urbanization,
aggregation
type
among
three
similar.
Furthermore,
density
strong
spillover
effect
CESI,
whereas
land
negative
effect.
Therefore,
should
pay
attention
transforming
extensive
model
paying
when
laying
out
industrial
structures.
Additionally,
is
necessary
control
expansion
built-up
improve
use
efficiency,
thereby
reducing
development.
This
study's
findings
serve
as
reference
policy
formulation
major
river
worldwide.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 10, 2024
Land-use
change
is
the
main
driver
of
carbon
storage
in
terrestrial
ecosystems.
Currently,
domestic
and
international
studies
mainly
focus
on
impact
changes
climate,
while
land-use
complex
ecosystems
are
few.
The
Jialing
River
Basin
(JRB),
with
a
total
area
~
160,000
km
PeerJ,
Год журнала:
2023,
Номер
11, С. e15285 - e15285
Опубликована: Май 23, 2023
Carbon
storage
is
a
critical
ecosystem
service
provided
by
terrestrial
environmental
systems
that
can
effectively
reduce
regional
carbon
emissions
and
for
achieving
neutrality
peak.
We
conducted
study
in
Kunming
analyzed
the
land
utilization
data
2000,
2010,
2020.
assessed
features
of
conversion
forecasted
under
three
development
patterns
2030
on
basis
Patch-generating
Land
Use
Simulation
(PLUS)
model.
used
Integrated
Valuation
Ecosystem
Services
Trade-offs
(InVEST)
model
to
estimate
changes
trends
scenarios
2020,
impact
socioeconomic
natural
factors
storage.
The
results
indicated
(1)
intimately
associated
with
practices.
2020
was
1.146
×
108
t,
1.139
1.120
respectively.
During
20
years,
forest
decreased
142.28
km
The Egyptian Journal of Remote Sensing and Space Science,
Год журнала:
2024,
Номер
27(4), С. 615 - 627
Опубликована: Авг. 13, 2024
Land
Use
Cover
(LULC)
change
is
a
complex
phenomenon
driven
by
various
natural
and
anthropogenic
factors,
significantly
impacting
carbon
storage
potential.
By
applying
integrated
models
of
ANN-CA
Markov,
GeoDetector,
InVEST
model,
this
study
aimed
to
analyze
LULC
change,
their
driving
implications
on
in
the
Forest
Management
Unit
(FMU)
Ampang
Plampang
West
Nusa
Tenggara,
Indonesia.
Several
data
sources
were
utilized
modelling
approach,
including
DEM
(Digital
Elevation
Model),
topographical
map,
Landsat
imageries
(2011,
2016,
2021),
measured
density
(above
ground,
below
soil,
dead
organic),
socio-economic
(number
populations,
farmer,
agricultural
land).
The
dryland
forest
area
constitutes
most
extensive
that
has
experienced
significant
declines
due
deforestation,
predominantly
transforming
into
land,
these
are
predicted
continue
until
2031
with
different
magnitudes.
factors
elevation,
population
pressure
distance
from
settlement.
also
greatly
influenced
decline
historically
(2011–2016)
projected
(2026–2031).
conversion
forested
areas
non-forest
LULCs
released
emissions
about
1.89
Mt
CO2-eq.
findings
implied
integration
been
helpful
for
comprehending
complicated
interactions
among
dynamics.
results
contribute
scientific
knowledge
base
land
management
decision-making
policy
formulation.
Effective
changes
through
low
development
suggested
mitigate
loss
capacities,
foster
sustainable
goals
(SDGs),
support
Nationally
Determined
Contribution
(NDC),
improve
ecosystem
resilience.
Land,
Год журнала:
2023,
Номер
12(2), С. 399 - 399
Опубликована: Фев. 1, 2023
Land
use
change
could
affect
the
carbon
sink
of
terrestrial
ecosystems,
implying
that
future
storage
be
estimated
by
simulating
land
patterns,
which
is
great
significance
for
ecological
environment.
Therefore,
patterns
and
under
combination
scenarios
different
Shared
Socioeconomic
Pathway
(SSP)
Representative
Concentration
(RCP)
Yangtze
River
Delta
were
simulated
introducing
weight
matrices
into
Markov
model
combining
PLUS
InVEST
models.
The
results
revealed
woodland
expands
greatly
during
2020–2060
SSP1-RCP2.6
scenario,
2060
at
a
high
level
with
an
value
5069.31
×
106
t
average
annual
increase
19.13
t,
indicating
scenario
contributes
to
improvement
storage.
However,
area
built-up
increasing
SSP5-RCP8.5
3836.55
decrease
11.69
negatively
affects
sink.
Besides,
SSP2-RCP4.5
causes
almost
no
effect
on
above
can
help
policymakers
manage
choose
best
development
scenario.
Land,
Год журнала:
2023,
Номер
12(2), С. 297 - 297
Опубликована: Янв. 20, 2023
Assessing
the
impacts
and
drivers
of
urban
expansion
on
terrestrial
carbon
storage
(TCS)
is
important
for
ecology
sustainability;
however,
a
unified
accounting
standard
intensity
research
economic
value
TCS
changes
are
lacking.
Here,
in
Yangtze
River
Delta
were
simulated
based
Patch-generating
Land
Use
Simulation
Integrated
Valuation
Ecosystem
Services
Trade-offs
models;
scenario
simulation;
Literature,
Correction,
Ratio,
Verification
measurement;
land
use
transfer
matrix
methods.
The
results
showed
that
(1)
from
2000
to
2020,
urbanization
loss
accelerated,
with
61.127%
occurring
soil,
conversion
was
prominent
riverine
coastal
cities,
mainly
driven
by
occupation
cropland
around
suitable
slopes,
transportation
arteries,
rivers.
(2)
From
2020
2030,
varied
under
different
scenarios;
losses
sink
protection
ecological
USD
102.368
287.266
million
lower,
respectively,
than
baseline
scenario.
Even
if
slows,
global
warming
cannot
be
ignored.
Considering
indirect
urbanization,
failure
establish
regional
development
master
plan
ecosystem
services
may
affect
China’s
targets.
