PLoS ONE,
Год журнала:
2025,
Номер
20(4), С. e0320428 - e0320428
Опубликована: Апрель 30, 2025
This
research
aimed
to
assess
the
observed
land
use
and
cover
(LULC)
changes
of
Bale
Mountains
National
Park
(BMNP)
from
1993
2023
its
future
projections
for
years
(2033
2053).
The
study
utilized
multi-date
Landsat
imagery
1993,
2003,
2013,
2023,
leveraging
5
TM,
7
ETM+,
8
OLI-TIRS
sensors
LULC
classification.
Standard
image
pre-processing
techniques
were
applied,
composite
images
created
using
yearly
median
values
in
Google
Earth
Engine
(GEE).
In
addition
satellite
data,
both
physical
socioeconomic
variables
used
as
input
modeling.
Random
Forest
(RF)
classification
algorithm
was
classification,
while
Cellular
Automata
Artificial
Neural
Networks
(CA-ANN)
model
within
Modules
Land
Use
Change
Simulations
(MOLUSCE)
plugin
QGIS
employed
projection.
analysis
revealed
significant
BMNP,
primarily
due
anthropogenic
activities,
with
further
anticipated
between
2053.The
results
showed
a
notable
increase
woodland
shrubs
at
expense
grassland
Erica
forest.
While
increased
by
87.18%
36.7%,
areas
forest
lost
about
25%
22%
their
area,
respectively,
during
this
period.
also
indicated
that
covered
are
expected
15.97%
15.57%,
2053.
Conversely,
occupied
cultivated
land,
forest,
grassland,
herbaceous
plants
projected
decrease
28.52%,
3.28%,
19.03%,
6.55%,
respectively.
Proximity
roads
urban
combined
rising
temperatures
altered
precipitation
patterns
emerged
critical
factors
influencing
conversion
BMNP.
These
findings
underscore
complex
interplay
environmental
human
activities
shaping
dynamics.
Hence,
promoting
sustainable
management
practices
among
park
administration
local
community
well
enhancing
habitat
protection
efforts
recommended.
Additionally,
integrating
advanced
remote
sensing
technologies
ground
truthing
will
be
essential
accurate
assessments
dynamics
area
biodiversity.
Scientific African,
Год журнала:
2024,
Номер
24, С. e02244 - e02244
Опубликована: Май 7, 2024
Land
use
and
cover
changes
alter
the
functions
structures
of
ecosystem,
resulting
in
variations
Ecosystem
Service
Values
(ESVs).
Thus,
we
examined
impacts
land
use/land
(LULC)
on
ESVs
from
1992
to
2052
using
geospatial
technologies.
The
Landsat
images
were
classified
supervised
maximum
likelihood
classification
technique,
future
LULC
predicted
CA-Markov
model.
adopted
empirical
studies
their
evaluated
based
benefit
transfer
method
data
for
study
periods,
with
corresponding
modified
coefficients.
results
revealed
that,
proportions
grassland,
forestland
shrubland
declined
by
58.5%,
48.15%
33.48%,
respectively,
2022.
Simultaneously,
highest
rate
expansions
waterbodies
(34
times),
farmland
settlement
threefold
as
well
bareland
(60.2%)
2022
was
noticed.
As
a
result,
decreasing
trends
experienced
total
district
US$33.6
million
US$27.79
2022,
are
anticipated
further
decline
US$25.94
2052.
forestland,
grassland
shrank
53.1%,
40%
2.78%
33.28%,
33.16%
1.4%
these
continue
next
three
decades,
except
trend
increase
ecosystem
service
value.
Therefore,
government
should
redesign
effective
management
strategies
alleviate
negative
consequences
changes,
facilitate
payment
services,
design
ecotourism
boost
income
residents
major
management-based
production
systems
ESV
district.
Land,
Год журнала:
2023,
Номер
12(12), С. 2173 - 2173
Опубликована: Дек. 16, 2023
Changes
in
land
use
and
cover
(LULC)
are
caused
by
several
factors,
including
climate
change,
socio-demographic
dynamics,
human
pressures
urban
sprawl.
These
factors
alter
the
structure
functionality
of
ecosystems
their
capacity
to
provide
ecosystem
goods
services
society.
The
study
LULC
changes
is
important
for
understanding
dynamics
relationships
between
environmental,
social
economic
components
analyzing
affecting
natural
capital.
Including
(ES)
spatial
planning
tools
sectoral
policies
useful
improving
governance.
In
this
paper,
impact
on
ES
provision
has
been
estimated.
To
end,
we
carried
out
a
literature
review
(Step
1)
select
biophysical
coefficients
supply
classes
collect
them
database
2).
We
subsequently
aggregated
macro
3)
and,
using
benefit
transfer
approach,
estimated
change
ESs
concerning
permanence
transition
phenomena
Italy
from
1990
2018
4).
analysis
also
allowed
us
evaluate
consequences
urbanization
green
space
governance
supply.
Indeed,
these
spaces
can
help
reduce
risks
people’s
health
safety
mitigate
effects
induced
change.
total,
approximately
800
(biophysical
economic)
supplied
Corine
Land
Cover
were
acquired.
results
show
reduction
annual
EUR
927
million
(2022)
2018.
This
research
proposes
methodology
improve
knowledge
anthropogenic
impacts
support
land-use
regarding
Agenda
2030
Sustainable
Development
Goals.
Heliyon,
Год журнала:
2023,
Номер
9(11), С. e21736 - e21736
Опубликована: Окт. 28, 2023
This
study
investigated
land
use
and
cover
(LULC)
changes
its
impact
on
forest
ecosystem
service
values
for
20
years
in
the
Atwima
Nwabaiagya
North
District
using
Landsat
images
of
2002,
2012
2022.
Supervised
classification
with
Maximum
Likelihood
Algorithm
was
used
to
classify
images.
Five
LULC
types
(high-dense
forest,
low-dense
water,
bare-ground,
Built-up
area)
were
successfully
classified,
overall
accuracies
99.0
%
Kappa
coefficients
0.99.
The
result
showed
a
reduction
high-dense
23.87
%,
26.53
water
areas
as
1.16
whereas
built-up
(21.44
%)
bare-ground
(27
experienced
an
expansion
their
areas.
Related
literatures
ecological
assets
value
table
adjusted
price
evaluate
response
changes.
discovered
that
high
forests
have
declined
from
USD
22.68
million
8.75
14.56
5.2
respectively.
total
by
33.73
2002
21.91
It
revealed
most
notable
feature
bare-grounds.
There
is
need
curb
current
drivers
Nwabiagya
stop
further
degradation
optimum
delivery
district.
For
planners
decision
makers
who
site-specific
information
effects
alterations
services,
study's
findings
are
essential.
will
make
it
easier
track
past
environmental
obtain
quick,
accurate
results
decision-making.
Heliyon,
Год журнала:
2025,
Номер
11(2), С. e41658 - e41658
Опубликована: Янв. 1, 2025
Highlights•Significant
non-linear
land
use
change
was
observed
in
Genale-Dawa
River
Basin•Ecosystem
service
significantly
reduced
the
afromontane
region•Historical
ecology
identified
ecosystem
related
previous
problems
basinAbstractUnderstanding
relationship
between
and
cover
(LULC)
wetland-based
services
(WESs)
is
crucial
for
sustaining
wetlands
maintaining
hydrological
connectivity
Basin
(GDRB).
While
quantification
of
LULC
has
received
considerable
emphasis,
WESs
are
often
overlooked
this
region.
This
research
aims
to
analyze
estimate
potential
(ESs)
provided
by
GDRB.
Data
were
collected
through
field
observations,
focus
group
discussions,
key
informant
interviews,
with
respondents
selected
using
simple
random
purposive
sampling
techniques.
Landsat
images
from
2005
2020,
along
document
reviews,
utilized
generate
datasets.
A
stakeholders'
consultation
forum
expert
judgment
employed
understand
historical
Results
showed
that:
(1)
occurred
non-linearly
GDRB,
agricultural
continuously
increasing
while
forestland,
woodland,
grassland
decreased
2020;
(2)
estimated
value
(ESV)
GDRB
approximately
US
$10,360.28
million
$9,033.06
per
year
indicating
a
decline
12.81%,
resulting
total
net
loss
$1,327.22
basin.
Although
provisioning
ESV
increased,
regulating,
supporting,
cultural
ESVs
have
experienced
significant
losses.
The
increase
does
not
compensate
overall
Soil
compaction
upstream
part
diminished
recharge
enhanced
flooding
downstream,
jeopardizing
sustainable
situation
placed
basin
at
risk
critical
crossroads.
Notably,
landscape
now
more
exposed
anthropogenic
pressures
than
past,
clear
impacts
both
locally
downstream.
Therefore,
robust
law
enforcement
awareness-raising
efforts
essential,
targeted
rehabilitation
initiatives
GDRB.Graphical
abstract
International Journal of Climatology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 29, 2025
ABSTRACT
The
southern
Mediterranean
region
is
among
the
most
vulnerable
areas
to
climate
change
globally.
However,
in
this
region,
there
a
need
further
understand
complex
interactions
between
climate,
vegetation,
and
crops
fully
assess
combined
impacts
of
extreme
events
on
agricultural
sector.
Using
daily
Normalised
Difference
Vegetation
Index
(NDVI)
data,
we
evaluated
trends
across
15
vegetation
phenology
indicators
1982
2019
analysed
their
links
land‐use
land‐cover
changes.
We
found
significant
increases
maximum
value
NDVI
(MaxV),
length
growing
seasons
(LengthGS),
duration
from
crop
emergence
anthesis
(BMaxT),
particularly
within
croplands.
These
changes
positively
correlated
with
regional
production,
especially
coastal
interior
plains
where
croplands
forests
are
expanding.
Conversely,
bordering
Sahara
showed
declining
MaxV
an
expansion
sparsely
vegetated
areas.
then
conducted
comprehensive
seasonal
trend
analysis
climatic
stresses
discussed
how
they
align
recent
key
phenological
indicators.
Coastal
experienced
wetter
conditions
throughout
year,
ensuring
sufficient
water
during
season.
Meanwhile,
had
autumns
winters
but
drier
springs
summers.
Additionally,
warmer
spring
autumn,
fewer
cold
wave
events.
Analysing
frequency
compound
events,
observed
toward
more
light
moderate
dry/hot
days
autumn
wet/hot
summer
autumn.
significantly
increased
MaxV,
improved
productivity,
extended
LengthGS
BMaxT.
findings
may
serve
as
early
future
could
impact
highlighting
risks
opportunities
guide
informed
decision‐making
development
adaptive
strategies
region.
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
ABSTRACT
Ecosystem
service
valuation
is
crucial
for
ensuring
the
sustainability
of
ecosystem
functions.
However,
services
provided
by
expanding
dry
Afromontane
forests,
which
could
show
potential
conservation
sustainability,
have
not
been
adequately
quantified.
This
study
aims
to
fill
knowledge
and
methodological
gaps
assessing
value
Hugumburda
Dry
Forest
(HDAF)
in
Tigray,
Ethiopia,
using
Services
Provision
Index
(ESPI),
updated
(ES)
coefficients,
ES
(ESV)
function.
We
applied
Economics
Ecosystems
Biodiversity
(TEEB)
model
analyze
provisioning,
regulating,
supporting,
cultural
ESs.
Satellite
imagery
from
US
Geological
Survey
(USGS)
over
past
four
decades,
along
with
240
control
points,
helped
highlight
inherent
values
forest.
Our
results
that
HDAF
forest
cover
expected
increase
19.1
km
2
(3.8%)
2030,
up
88.6
2020.
Consequently,
ESV
provisions
are
projected
1.88
million
dollars
annually,
benefiting
local
community
if
current
expansion
efforts
continue.
found
a
significant
correlation
(
p
<
0.01)
between
area
forestland,
shrubland,
arable
land,
grassland,
water
bodies.
The
ESPI
were
highest
forestland
grassland
(0.38)
lowest
bodies
(−0.51).
primarily
provides
regulatory
services,
followed
services.
combination
optical
remote
sensing
valuing
ESs,
promoting
sustainable
management
practices,
recognizing
increasing
benefits
both
environmental
social
outcomes.
increases
influenced
only
but
also
quality
cover.
Environments,
Год журнала:
2025,
Номер
12(3), С. 89 - 89
Опубликована: Март 14, 2025
This
study
conducts
a
comparison
of
two
ecosystem
service
models:
the
Water
Supply
Stress
Index
(WaSSI)
and
Integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST).
It
focuses
on
each
model’s
capability
to
estimate
annual
water
yield
within
Croatan
National
Forest
(CNF).
The
Forest,
characterized
as
coastal
with
high
biodiversity
unique
resource
management
challenges,
provides
an
opportune
setting
examine
compare
accuracy
efficiency
these
models
in
predicting
yield.
Utilizing
field
data
remote
sensing,
we
investigated
capabilities
both
results
indicate
that
can
serve
useful
tools
for
ecosystems,
yet
there
are
differences
their
sensitivity
environmental
factors.
is
first
models,
WaSSI
InVEST,
forest
calculation
Sustainability,
Год журнала:
2025,
Номер
17(7), С. 2889 - 2889
Опубликована: Март 24, 2025
Context:
The
intensification
of
land
use
changes
in
coastal
cities
has
been
a
result
the
ongoing
development
social
economy.
A
decrease
ecosystem
service
value
(ESV)
and
terrestrial
carbon
storage
(TCS)
observed
as
urbanization
climate
change.
However,
it
is
unclear
whether
influence
change
on
ESV
TCS
towns
would
be
facilitated
or
hampered
under
various
growth
scenarios.
Aim:
This
study
simulated
impact
future
scenarios
provided
scientific
policy
references
for
preservation
their
ecological
functions.
Approaches:
InVEST
model
PLUS
were
employed
to
predict
Liaoning
Province
from
2030
2060
scenarios,
based
data
three
periods
2000
2010
2020.
also
calculated.
Results:
distribution
pattern
are
significantly
influenced
by
area
chief
influencing
factors
types
Province.
dynamic
construction
land,
cultivated
grassland,
unused
play
significant
role
given
variations
patterns
across
different
cities.
Two
primary
that
GDP,
NDVI,
DEM,
rainfall,
population
distribution.
Three
provisioning
services,
regulating
supporting
cultural
experienced
gradual
decline
cities,
while
forest
rivers,
grasslands
exhibited
downward
trend.
spatial
characteristics
“low
coastal,
high
eastern,
western,
inland
areas,
medium
central
grassland
area.”
Four
can
effectively
mitigate
services
protection
scenario.
Conclusions:
present
demonstrates
spatiotemporal
propelling
forces
communities
during
simulation
Important
sustainable
control
through
recommendations
non-construction
management
enhance
TCS.
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 30, 2025
ABSTRACT
Ecological
environment
plays
an
indispensable
role
in
sustaining
and
developing
human
society
natural
ecosystems,
while
it
continually
suffers
from
degradation
caused
by
activities.
Land
Use
Cover
(LULC),
which
serves
as
a
proxy
of
the
intensity
intervention,
has
been
regarded
equally
important
factor
affecting
habitat
quality
climate
change.
Despite
exploring
close
relationship
between
LULC
changes
quality,
current
research
remains
largely
theoretical
does
not
delve
into
management
measures
following
degradation.
Consequently,
its
practical
implications
for
ecological
conservation
are
limited.
In
this
study,
taking
Northeast
China,
prominent
contradiction
protection,
study
area,
InVEST
model
was
introduced
to
assess
based
on
data
2000
2020.
Then,
Geographically
Weighted
Regression
(GWR)
employed
analyze
explanatory
variables
change
terms
The
results
indicated
that
China
2020
mainly
occurred
cultivated
land,
artificial
grassland,
forestland.
Habitat
demonstrated
progressive
decline
yet
remained
at
intermediate
level
exhibited
significant
spatio‐temporal
heterogeneity
whole.
Furthermore,
regression
there
correlation
Finally,
classified
three
functional
zones
K‐Means
clustering
analysis:
coordinated
development
zone,
key
each
with
own
characteristics
priorities.
findings
can
provide
scientific
reference
rational
use
land
zoning
China.