Land,
Journal Year:
2024,
Volume and Issue:
13(11), P. 1871 - 1871
Published: Nov. 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.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(2), P. 284 - 284
Published: Jan. 10, 2024
Deforestation
is
a
threat
to
habitat
quality
and
biodiversity.
In
intact
forests,
even
small
levels
of
deforestation
can
have
profound
consequences
for
vertebrate
The
risk
hotspots
are
Borneo,
the
Central
Amazon,
Congo
Basin.
Earth
observation
(EO)
now
provides
regular,
high-resolution
satellite
images
from
Copernicus
Sentinel
missions
other
platforms.
To
assess
impact
forest
conversion
loss
on
biodiversity
quality,
in
tiger
conservation
landscape
Malaysia
analysed
using
Sentinel-2
imagery
InVEST
model.
Forest
losses
identified
satellites
random
classification
validated
with
PlanetScope
at
3–5
m
resolution
test
area.
Two
scenarios
simulated
InVEST,
one
without
maps.
outputs
model
maps
degradation
northeast
Peninsular
Malaysia.
addition
loss,
OpenStreetMap
road
vectors
GLC2000
land-cover
map
used
sensitivity
threats
roads,
railways,
water
bodies,
urban
areas.
score
simulation
results
fall
sharply
~0.8
~0.2
tree-covered
land
cover
when
included
makes
reasonable
assumption
that
species
richness
higher
pristine
tropical
forests
than
agricultural
landscapes.
compare
between
administrative
coupled
EO/InVEST
modelling
framework
presented
here
support
decision
makers
reaching
targets
Kunming-Montreal
Global
Biodiversity
Framework.
information
essential
quantification
forests.
Next
generation
ecosystem
service
models
should
be
co-developed
alongside
EO
products
ensure
interoperability.
International Journal of Environmental Science and Technology,
Journal Year:
2024,
Volume and Issue:
22(6), P. 4601 - 4617
Published: July 29, 2024
Abstract
This
paper
aims
to
reveal
the
impacts
of
land
use/land
cover
changes
on
ecosystem
services
and
guide
sustainable
development
decisions
by
modelling
future
pattern
its
in
case
Aydın
province,
Turkey.
In
this
context,
study
examined
predicted
patterns
with
three
scenarios
(natural
development,
service-based
economy-based
development)
using
PLUS
model,
determined
impact
InVEST
generated
carbon
storage
habitat
quality
services.
The
key
drivers
change
were
agricultural
expansion,
transformation
different
vegetation
types
into
each
other,
and,
even
a
small
scale,
urbanization.
revealed
that
spatial
types,
together
effect
changing
patterns,
have
significant
quality.
While
reductions
shrubland
forests
detrimental,
transformations
from
openspaces
them,
particularly
at
their
boundaries,
enhanced
capacity
On
other
hand,
though
based
economic
value
products/services
obtained
respectively,
scenario
was
characterized
more
effective
management
terms
maximizing
both
ecological
benefits.
highlights
significance
emerging
need
for
prioritizing
considerations
urban
planning.
Engineering,
Journal Year:
2024,
Volume and Issue:
37, P. 182 - 195
Published: Feb. 1, 2024
Land
use/land
cover
represents
the
interactive
and
comprehensive
influences
between
human
activities
natural
conditions,
leading
to
potential
conflicts
among
human-related
issues
as
well
stakeholders.
This
study
introduced
economic
standards
for
farmers.
A
hybrid
approach
(CA-ABM)
of
cellular
automaton
(CA)
an
agent-based
model
(ABM)
was
developed
effectively
deal
with
social
land
use
synergic
examine
human–environment
interactions
projections
conversions
a
humid
basin
in
south
China.
Natural
attributes
socioeconomic
data
were
used
analyze
its
drivers
change.
The
major
modules
CA-ABM
are
initialization,
migration,
assets,
suitability,
land-use
change
decisions.
Empirical
estimates
factors
influencing
urban
conversion
probability
captured
using
parameters
based
on
spatial
logistic
regression
(SLR)
model.
Simultaneously,
multicriteria
evaluation
(MCE)
Markov
models
obtain
empirical
affecting
ecological
conversion.
An
CA-SLR-MCE-Markov
(ABCSMM)
proposed
explore
impacts
policies
can
reproduce
observed
patterns
provide
links
forest
transition
expansion
decisions
ecosystem
services.
results
demonstrated
simulations
under
multi-policy
scenarios,
revealing
usefulness
normative
research
management.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2310 - 2310
Published: March 11, 2024
The
quantitative
analysis
and
prediction
of
spatiotemporal
patterns
land
use
in
Haihe
River
Basin
are
great
significance
for
ecological
planning
management.
To
reveal
the
changes
carbon
stock,
spatial–temporal
pattern
data
from
2000
to
2020
was
studied
via
Mann–Kendall
(MK)
trend
analysis,
transfer
matrix,
dynamic
attitude.
Through
integrating
models
Integrated
Valuation
Ecosystem
Services
Trade-offs
(InVEST)
Long
Short-Term
Memory
(LSTM),
results
spatial
distribution
stock
were
obtained
compared
with
Cellular
Automation
(CA-Markov),
then
applied
predict
2025.
show
following:
(1)
cover
(LULC)
primarily
involve
an
exchange
between
cultivated
land,
forest,
grassland,
as
well
conversion
built-up
land.
This
transformation
contributes
overall
decrease
storage
basin,
which
declined
by
approximately
1.20%
2020.
(2)
LULC
accuracy
LSTM
is
nearly
2.00%
higher
than
that
CA-Markov,
reaching
95.01%.
(3)
In
2025,
area
grassland
will
increase
most,
while
most.
stocks
northwest
lower
southeast,
changing
areas
scattered
throughout
study
area.
However,
due
substantial
growth
2025
about
10
times
research
can
provide
a
theoretical
basis
reference
watershed
planning,
restoration,
Forum Geografi,
Journal Year:
2023,
Volume and Issue:
37(2)
Published: Dec. 29, 2023
Kubu
Raya
Regency
is
a
regency
in
the
province
of
West
Kalimantan
which
has
wetland
ecosystem
including
high-density
swamp
or
peatland
along
with
an
extensive
area
mangroves.
The
function
ecosystems
essential
for
fauna,
as
source
livelihood
surrounding
community
and
storage
reservoir
carbon
stocks.
Most
land
peatland.
As
consequence,
peat
long
been
used
agriculture
community.
Along
vast
peat,
also
potential
high
risk
fires.
This
study
aims
to
predict
use
changes
using
three
statistical
machine
learning
models,
specifically
Logistic
Regression
(LR),
Random
Forest
(RF)
Additive
(ALR).
Land
cover
map
data
were
acquired
from
Ministry
Environment
Forestry
subsequently
reclassified
into
six
types
at
resolution
100
m.
employed
classify
class
regency,
years
2009,
2015
2020.
Based
on
model
performance,
RF
provides
greater
accuracy
F1
score
opposed
LR
ALR.
outcome
this
expected
provide
knowledge
recommendations
that
may
aid
developing
future
sustainable
development
planning
management
Regency.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 136 - 136
Published: Jan. 10, 2025
With
the
acceleration
of
global
urbanization,
ecosystem
services
(ES)
and
ecological
balance
nature
reserves
have
been
significantly
impacted.
However,
quantitative
assessments
multiple
contributions
to
urban
sustainability
are
still
lacking.
This
study
selects
Panjin,
a
wetland
city
in
China
(3788
km2),
as
area,
utilizing
InVEST
model
quantify
ES
(water
yield,
carbon
storage,
soil
retention,
habitat
quality),
employing
redundancy
analysis
explore
influencing
factors.
Ecological
source
areas
were
identified,
Sustainable
Development
Goals
(SDGs)
score
was
calculated
systematically
evaluate
contribution
reserves.
The
results
indicate
that
from
1990
2010,
built-up
area
Panjin
increased
by
approximately
159%,
leading
reduction
quality
20%,
4%,
14%,
respectively.
From
2010
2020,
restoration
policies
resulted
63%
increase
compared
2010.
Nature
played
crucial
role
maintaining
stability,
providing
over
40%
while
occupying
only
24%
city’s
contributing
more
than
30%
overall
sustainability.
is
first
assess
sustainability,
management
recommendations
for
policymakers
based
on
innovative
environmental
indicators
methods
support
sustainable
development.
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 11, 2025
ABSTRACT
Carbon
storage
(CS)
influences
the
balance
and
stability
of
carbon
cycle
in
global
terrestrial
ecosystems.
Research
on
changes
CS
scenario
forecasting
is
essential
for
developing
sustainable
socioeconomic
policies.
To
more
accurately
predict
small
watersheds
cold
regions,
this
study
takes
Ashi
River
watershed
(ARW)
as
a
case
to
explore
“past–present–future”
CS.
We
quantify
dominant
factors
affecting
further
focus
prediction
under
four
SSP–RCP
scenarios
considering
from
new
perspective
by
coupling
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
Patch‐generating
Land
Use
Simulation
(PLUS)
models,
which
important
implementing
dual
policy
regions.
The
findings
revealed
pattern
growth
followed
reduction
between
1990
2020,
resulting
an
overall
increase
2.68%
3947.40
×
10
4
Mg
2020.
Both
natural
drove
CS,
with
having
direct
positive
impact
negative
impact.
Climate
land
use
types
were
significantly
correlated
simulations
showed
significant
across
all
scenarios,
largest
52.39%
occurring
ecological
protection
18.36%
black
soil
cropland
conservation
scenario.
A
management
strategy
was
developed
based
cover
change
(LUCC)
ARW's
developmental
trajectory
establish
economic–ecological
balanced
development
model.
results
can
provide
valuable
reference
decision‐makers
formulating
strategies
units