Kuwait Journal of Science,
Journal Year:
2024,
Volume and Issue:
51(2), P. 100197 - 100197
Published: Feb. 1, 2024
In
the
face
of
escalating
environmental
challenges,
changes
in
land-use
and
land-cover
(LULC)
emerges
as
a
persistent
significant
threat,
profoundly
impacting
stability
eco-biodiversity.
This
study
analyzes
LULC
using
remote
sensing
techniques
to
detect
degradation
Abeokuta
South,
Nigeria,
contributing
discourse
on
sustainability.
maps
for
years
2002,
2012,
2022
were
generated,
incorporating
spectral
indicators
such
land
surface
temperature
(LST),
normalized
differential
vegetation
index
(NDVI),
difference
built-up
(NDBI)
from
Landsat
7
8
satellite
images.
The
support
vector
machine
(SVM),
FRAGSTATS
software,
operating
within
IDRISI
Arc-MAP
environment,
employed
evaluate
area's
metrics.
findings
revealed
that
areas
2000
underwent
most
changes,
increasing
by
39.52
km2
(55.85
%),
while
noticeable
decrease
cover
trend
27.95
(36.45
%)
was
observed.
Spatial
metrics,
conjunction
with
LST,
NDVI,
NDBI,
illustrated
quantitative
qualitative
area.
Undeniably,
amalgamation
remote-sensed
data
spatial
metrics
offers
valuable
tools
provide
ecological
information
urban
light
these
findings,
underscores
need
urgent
attention
society,
government,
stakeholders
manage
population
growth
balance
human
needs
sustainable
thereby
broader
goal
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110521 - 110521
Published: June 24, 2023
Identifying
the
spatial
heterogeneity
characteristics
of
ecosystem
services
(ESs)
and
their
influencing
mechanisms
is
crucial
for
regional
ecological
management
sustainable
development.
This
study
quantified
net
primary
production
(NPP),
water
yield
(WY),
soil
conservation
(SC),
sand
fixation
(SF),
habitat
quality
(HQ)
total
service
(TES)
on
Qinghai
Tibet
Plateau
(QTP),
then
analyzed
spatial–temporal
ESs.
The
geographical
detector
model
(GDM),
geographically
weighted
regression
(GWR)
model,
constraint
lines
were
used
to
explore
effects
factors
results
showed
that
(1)
NPP,
WY,
SC,
HQ
TES
an
increasing
trend
from
2000
2018,
while
SF
a
decreasing
trend.
SC
distribution
pattern
"high
values
in
southeast
low
northwest",
high
located
northern
QTP
southern
QTP.
(2)
NDVI
was
key
factor
TES,
precipitation
dominated
mainly
influenced
by
Largest
patch
index
(LPI).
(3)
In
most
areas,
natural
(precipitation,
temperature,
DEM,
slope
NDVI)
had
positive
both
negative
HQ.
human
(Resident,
Road
LPI)
other
There
non-monotonic
Overall,
much
stronger
influence
ESs
than
factors,
interactions
among
independent
effects.
this
can
provide
basis
protection
Journal of Biogeography,
Journal Year:
2023,
Volume and Issue:
50(5), P. 976 - 986
Published: March 13, 2023
Abstract
Aim
The
small‐island
effect
(SIE),
as
an
exception
to
the
species–area
relationship,
has
received
much
attention
in
true
island
systems.
However,
prevalence
and
related
patterns
of
SIE
have
not
been
well
evaluated
habitat
Here,
we
aimed
identify
existence
for
islands
fragmented
landscapes
determine
key
factors
influencing
species
richness
on
small
islands.
Location
Inner
Mongolia
Autonomous
Region,
China.
Taxon
Vascular
plants.
Methods
Based
78
grassland
fragments
agro‐pastoral
ecotone
northern
China,
used
piecewise
regression,
path
analysis
null
models
investigate
relationship.
We
then
a
multi‐model
selection
evaluate
impacts
four
(instability,
isolation,
heterogeneity
surrounding
productivity)
(including
specialists
generalists)
within
range
SIE.
Results
found
obvious
threshold
5.1
ha
below
which
area
had
no
direct
indirect
effects
richness.
Small
(<5.1
ha)
host
lower
percentage
higher
generalists.
On
islands,
was
positively
affected
by
while
negatively
instability
isolation.
Habitat
strongest
richness,
affecting
specialist
generalist
Main
Conclusions
There
is
should
be
considered
biodiversity
conservation.
role
determining
pattern
especially
generalists
different
SIE‐related
patterns.
Our
study
highlights
importance
considering
ecological
groups
improve
our
understanding
habitats.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111932 - 111932
Published: March 1, 2024
Urbanization
is
a
key
factor
that
threatens
the
stability
of
ecosystem
services
(ESs),
which
are
crucial
for
maintaining
ecological
security
and
enhancing
human
quality
life.
Gaining
insight
into
spatiotemporal
differentiation
service
value
(ESV)
its
coupling
relationship
with
urbanization
issue
in
promoting
sustainable
regional
development.
We
employed
various
algorithms,
including
improved
equivalence
method,
random
forest
model,
mixed
geographically
temporally
weighted
regression
coordination
degree
(CCD)
to
reveal
evolution
ESV
driving
mechanisms
Lanzhou-Xining
urban
agglomeration
(LXUA)
from
1980
2020.
In
addition,
we
explored
between
combined
index
(CUI).
The
results
showed
following:
(1)
From
2020,
interannual
variation
first
decreased
then
increased,
an
increase
230
million
yuan/annum
2020
compared
1980.
Spatially,
exhibits
distribution
pattern
high
south
low
north,
west
east.
(2)
Land
use
intensity
(LUI)
elevation
contributed
values
exceeding
20%
were
most
important
drivers
ESV.
(3)
average
CCD
CUI
transitioned
being
severely
unbalanced
(0.19)
slightly
balanced
(0.42).
There
was
negative
spatial
correlation
CUI,
each
cluster
type
distributed
discretely
space.
Our
study
emphasizes
areas
characterized
by
robust
integrity
ESV,
LUI
constitutes
main
reason
decline
findings
this
can
provide
scientific
basis
coordinated
development
ESVs
LXUA
other
cities.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
163, P. 112078 - 112078
Published: April 29, 2024
Changes
in
land-use
patterns
are
the
main
driving
factors
of
ecosystem
service
values
(ESVs).
The
quantitative
evaluation
ESVs
is
significant
for
sustainable
development
ecologically
fragile
areas.
In
this
study,
Chishui
River
Basin
(CRB)
China
was
selected
as
study
region,
and
an
intensity
map
(IM)
used
to
analyze
transformation
land
use/land
cover
(LULC).
modified
equivalent
coefficient
value
method
evaluate
based
on
2000,
2010,
2020
use
datasets.
spatial
temporal
distributions
ESV
its
response
changes
LULC
were
analyzed
using
Getis-Ord
Gi*
statistical
Spearman's
rank
correlation
analysis.
Moreover,
over
next
30
years
four
scenarios
simulated
Markov-PLUS
model.
following
results
obtained:
1)
farmland
forestland
dominant
categories,
that
pattern
dramatically
changed
area;
2)
total
CRB
decreased
significantly
from
23.21
billion
yuan
2000
22.29
2020;
3)
ecological
conservation
scenario
promoted
ESV,
town
more
conducive
urbanization
process.
Therefore,
although
showed
a
decreasing
slowly
increasing
trend
context
series
restoration
measures,
scientific
protection
policies
must
be
continuously
implemented
achieve
harmony
between
improvement
development.
Our
provide
important
information
making
decisions
facilitating
protected
basins.
International Journal of Digital Earth,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: March 11, 2024
Assessing
ecosystem
services
values
(ESV)
within
land
use/land
cover
(LULC)
changes
is
crucial
for
promoting
human
well-being
and
sustainable
development
of
regional
ecosystems.
Yet,
the
spatial
relationship
between
LULC
still
unclear
in
Yemen.
This
study
aimed
to
assess
impacts
on
ESV
Ibb
City,
over
three
decades
(1990–2020),
predict
2050.
The
hybrid
use
classification
technique
classifying
Landsat
images,
CA-Markov
model
prediction,
benefit
transfer
method
(BTM)
assessment
were
employed.
Our
findings
revealed
that
there
was
a
continuous
increase
built-up
areas
barren
land,
with
decrease
cultivated
grassland,
which
are
predicted
continue
next
30
years.
Consequently,
total
has
decreased
from
US$
68.5
×
106
1990
65.2
2020
expected
further
reduce
61.2
by
2050,
reflecting
impact
urban
expansion
socio-economic
activities
ESV.
provides
insights
future
monitoring,
will
contribute
formulation
effective
land-use
strategies
more
services,
particularly
rapidly
urbanizing
data-limited
regions.
Ecological Indicators,
Journal Year:
2021,
Volume and Issue:
129, P. 108004 - 108004
Published: July 21, 2021
Revegetation
practices
have
continued
for
nearly
20
years
in
the
agro-pastoral
ecotone
of
northern
China
(AENC),
but
it
still
remains
unknown
how
human-induced
efforts
contributed
to
vegetation
restoration.
This
study
analyzed
spatiotemporal
dynamics
coverage
AENC
during
2000–2020
terms
normalized
difference
index
(NDVI)
using
MODIS
NDVI
datasets,
projected
future
trend
variations,
and
was
first
quantify
relative
contributions
climatic
anthropogenic
impacts
on
variations
by
residual
analysis.
The
results
showed
that
greening
recent
due
pronounced
increases
at
a
rate
0.00623
year−1,
unsustainable
as
whole,
especially
central
AENC,
where
large
areas
will
degrade
future.
Specifically,
jointly
determined
almost
89%
AENC.
Human
activities,
large-scale
afforestation,
most
important
driver
result
role
approximately
66%
(34%
from
climate
change).
Despite
significant
expansion
forest
coverage,
excessive
afforestation
had
complex
unpredictable
growth,
hence
eco-restoraiton
is
better
make
recover
its
natural
form.
revealed
more
uptrend
than
previously
understood,
highlighted
decisive
human
activities
over
last
years,
expected
offer
understanding
information
local
ecological
Ecological Indicators,
Journal Year:
2021,
Volume and Issue:
130, P. 108086 - 108086
Published: Aug. 9, 2021
In
the
past
two
decades,
agro-pastoral
ecotone
of
northern
China
has
experienced
dramatic
habitat
loss
and
fragmentation,
patches
remaining
grassland
have
formed.
However,
it
is
still
unclear
how
to
prioritize
biodiversity
conservation
in
this
fragmented
landscape.
Here,
we
investigated
84
Tabu
River
Basin,
a
typical
area
China.
To
determine
priorities
these
patches,
used
new
criterion
called
ecological
uniqueness
based
on
beta
diversity.
We
further
explored
impact
local
habitat,
dispersal
process,
patch
characteristics
uniqueness.
Our
results
showed
that
turnover
was
dominant
component
regional
diversity
(accounting
for
81.9%).
identified
13
hotspots
with
high
priority
due
their
significant
uniqueness,
9
which
were
small
(<5
ha).
Local
explained
more
variation
than
process
characteristics,
precipitation
heterogeneity
key
influencing
factor.
also
found
positive
correlation
between
fractal
dimension
study
suggests
are
landscape
highlight
necessary
focus
shape
prioritization.
Ecological Indicators,
Journal Year:
2021,
Volume and Issue:
133, P. 108437 - 108437
Published: Dec. 1, 2021
The
South
China
Karst
(SCK),
the
world's
largest
contiguous
karst
region,
has
undergone
severe
ecological
degradation
associated
with
interaction
of
fragile
natural
attributes
and
human
activities.
Understanding
causes
changes
in
ecosystem
services
(ES)
is
essential
to
prevent
control
support
sustainable
development.
However,
existing
studies
have
not
comprehensively
explored
impact
systems
activities
on
ES
failed
consider
their
spatiotemporal
heterogeneity.
Here,
we
used
regression
analysis
study
evolution
diverse
landscapes
(karst
non-karst)
SCK
activity
them.
Random
forest
geographically
weighted
were
explore
key
factors
driving
forces
different
landscape
ES.
results
show
that
from
1982
2018,
ES,
such
as
soil
conservation
(+8.12%),
net
primary
productivity
(+21.14%),
carbon
storage
(+0.86%),
nitrogen
export
(−5.89%),
phosphorus
(−1.46%),
improved,
mainly
due
re-greening
rewilding,
which
optimizes
structure
ecosystem.
large-scale
afforestation
led
a
decrease
water
yield
(−13.23%).
Urban
development
worsened
habitat
quality
(−0.50%)
biodiversity
(−1.91%).
With
intensification
activities,
region
showed
lower
maintenance
capacity
than
non-karst
regions.
found
varied
differing
landscapes.
Population
distribution
was
biggest
threat
whereas
farming
main
this
region.
In
these
regions,
improvement
vegetation
coverage
helpful
plant-carbon
sequestration,
increase
precipitation
increased
yield.
Importantly,
plays
crucial
role
Nature-based
solutions
combined
proper
management
strategies
can
counter
help
achieve
The Science of The Total Environment,
Journal Year:
2021,
Volume and Issue:
805, P. 150286 - 150286
Published: Sept. 11, 2021
Due
to
the
unfavorable
soil
conditions
and
water
resources,
cropland
use
pattern
in
farming-pastoral
ecotone
northern
China
is
complex.
The
program
named
"Grain
for
Green"
has
accelerated
change.
However,
complex
retired
are
challenging
monitor
with
remote
sensing
due
their
spatially
dispersed
easily
confused
spectrally
similar
land
classes
such
as
nature
grasslands
non-cropped
fields.
Taking
foot
of
Yinshan
Mountains
a
case
study,
we
explored
classification
approach
cropland,
which
was
introduced
specific
class
by
using
multi-temporal
Landsat
TM
OLI
images
Google
Earth
Engine.
During
1990–2000,
increased
sharper
growth
slower
from
2001
2010,
then
decreased
significantly
2011
2019,
lead
area
2019
smaller
than
an
1990.
We
analyzed
spatiotemporal
trajectories
Land
Use
Change
Trajectory
method
evaluate
its
source.
In
our
finding,
approximately
77%
labelled
before
2019;
albeit,
not
all
converted
cropland.
Moreover,
qualitatively
assessed
vegetation
dynamics
study
utilizing
long-term
NDVI-mean
value
reveal
that
coverage
shown
continuously
increasing
trend.
It
related
decline
increase
at
same
rate.
Our
results
highlighted
had
led
restoration
ecotone.
monitoring
can
improve
understanding
driving
factors
consequences
these
critical
change
trajectories.