Remote Sensing,
Год журнала:
2023,
Номер
15(19), С. 4884 - 4884
Опубликована: Окт. 9, 2023
Landscape
ecological
risk
is
considered
the
basis
for
regional
ecosystem
management
decisions.
Thus,
it
essential
to
understand
spatial
and
temporal
evolutionary
patterns
drivers
of
landscape
risk.
However,
existing
studies
lack
exploration
long-term
time
series
driving
mechanisms
Based
on
multi-type
remote
sensing
data,
this
study
assesses
pattern
changes
in
Three
Gorges
Reservoir
Area
from
1990
2020
ranks
factors
using
a
geographical
detector.
We
then
introduce
geographically
weighted
regression
model
explore
local
contributions
factors.
Our
results
show:
(1)
From
2020,
agricultural
land
decreased,
while
forest
construction
expanded
Area.
The
overall
shifted
toward
aggregation.
(2)
exhibited
decreasing
trend.
areas
with
relatively
high
were
primarily
concentrated
main
urban
area
western
region
along
Yangtze
River,
apparent
(3)
Social
natural
affected
human
interference,
annual
average
temperature,
population
density,
precipitation;
interactions
occurred
between
drivers.
(4)
influence
showed
heterogeneity.
Spatially,
social
(human
interference
density)
was
positively
correlated.
Meanwhile,
factors’
(annual
temperature
precipitation)
varied
widely
distribution,
more
complex.
This
provides
scientific
reference
management,
use
policy
formulation,
optimization
security
patterns.
Ecological Indicators,
Год журнала:
2024,
Номер
163, С. 112127 - 112127
Опубликована: Май 11, 2024
Environmental
managers
have
sought
to
optimize
landscape
structure
maintain
regional
ecosystem
health
(EH).
However,
we
still
lack
a
full
understanding
of
the
effects
changing
on
EH,
especially
in
terms
shorter
time
scales
(e.g.,
monthly
or
seasonal
scales)
and
spatial
heterogeneity.
To
address
this
gap,
study
used
vigor-organization-resilience-services
(VORS)
model
assess
annual
variation
EH
Loess
Plateau
(LP)
during
2000–2015,
then
applied
geographically
weighted
regression
(GWR)
investigate
different
aspects
(i.e.,
composition
configuration)
change
over
time.
Our
results
showed
that
level
LP
from
2000
2015
displayed
temporal
non-stationarity
at
scales,
pattern
decreasing
southeast
northwest.
The
had
obvious
heterogeneity,
depending
local
configuration.
In
general,
configuration
exerted
greater
impact
than
apart
Shannon's
diversity
index
percentage
forestland
area,
but
intensity
direction
higher
temporally
instability
therefore
should
receive
more
attention.
Furthermore,
regulation
dominant
patch
size,
connectivity
forest
spacing
is
optimal
choice
for
management.
suggest
responses
changes
vary
by
place,
integrating
characteristics
can
help
decision-makers
make
precise
arrangements
adjustments
keep
negative
ecological
impacts
within
reasonable
limits.
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
22, С. 100382 - 100382
Опубликована: Март 24, 2024
The
Tibetan
Plateau,
characterized
by
complicated
geological
structures,
is
sensitive
to
climate
change
and
human
activities.
vulnerable
environmental
balance
of
the
Plateau
has
witnessed
substantial
alterations,
emphasizing
urgency
comprehend
protect
its
ecosystem
quality.
In
this
study,
we
aim
quantify
quality
portray
spatiotemporal
dynamics,
analyze
spatial
heterogeneity
climatic
anthropogenic
influences.
We
employed
entropy
weight
method
(EWM)
construct
a
comprehensive
index,
termed
Ecosystem
Quality
Comprehensive
Assessment
Index
(EQCAI).
historical
patterns
trends
EQCAI
were
subsequently
identified.
Our
results
revealed
gradient
decreasing
from
southeast
northwest
while
mitigation
degradation
displayed
an
improving
trend
southwest
northeast.
further
detected
factors
influencing
changes
in
through
multiscale
geographically
weighted
regression
(MGWR)
method.
Precipitation
emerged
as
primary
positive
factor,
exerting
profound
influence
on
southeastern
Plateau.
Conversely,
evapotranspiration,
elevation,
activities
negatively
affected
western
This
study
proposes
targeted
conservation
efforts
for
forestry
regions
with
high
Additionally,
suggest
that
impact
should
be
strengthened.
findings
contribute
valuable
insights
informed
decision-making
sustainable
management
preservation
Plateau's
fragile
ecosystem.
Land,
Год журнала:
2024,
Номер
13(4), С. 480 - 480
Опубликована: Апрель 8, 2024
In
the
realm
of
sustainable
city
development,
evaluating
spatial
vitality
urban
green
spaces
(UGS)
has
become
increasingly
pivotal
for
assessing
public
space
quality.
This
study
delves
into
heterogeneity
park
across
diverse
landscapes
at
a
scale,
addressing
limitations
inherent
in
conventional
approaches
to
understanding
dynamics
vitality.
Leveraging
geotagged
check-in
data
from
65
parks
case
Changsha
City,
quantitative
analysis
was
undertaken
assess
The
investigation
incorporated
concerning
internal
and
external
factors
influencing
vitality,
employing
Multi-scale
Geographically
Weighted
Regression
(MGWR)
model
dissect
nuanced
heterogeneity.
research
uncovers
notable
discrepancies
areas,
emphasizing
reliance
on
adjacent
residential
communities
commercial
amenities
provision.
These
dependencies
correspond
with
economic
development
differences
among
locales,
revealing
distinct
geographic
trends.
novel
perspective
methodology
investigating
providing
significant
insights
planning
management.
It
emphasizes
necessity
acknowledging
diversity
design
by
incorporating
socio-economic
characteristics
each
zone,
which
is
crucial
both
planners
policymakers.
Land,
Год журнала:
2024,
Номер
13(7), С. 1009 - 1009
Опубликована: Июль 7, 2024
During
the
rapid
urbanization
phase,
trade-off
between
ecosystem
services
is
most
severe
and
also
effective
stage
to
implement
ecological
management.
Exploring
natural—social
driving
mechanisms
for
trade-offs
contributes
coordinated
development
of
social
economy
nature.
Taking
typical
mountainous
city
(Yibin)
that
currently
in
phase
ecologically
fragile
as
an
example,
utilizing
a
combination
difference
comparison,
trade-off–synergy
index
(TSI),
optimal-parameter-based
geographical
detector
model
(OPGD),
multi-scale
geographically
weighted
regression
(MGWR),
we
spatially
assess
nature
intensity
ES
relationships
explore
its
social–natural
mechanisms.
Our
findings
reveal
following:
(1)
Varied
geospatial
patterns
four
ESs—habitat
quality
(HQ),
carbon
storage
(CS),
soil
conservation
(SC),
water
yield
(WY)—with
greatest
fluctuations
WY.
(2)
Significant
changes
over
time,
showing
predominant
positive
synergies
WY-HQ,
WY-SC,
HQ-CS,
negative
HQ
SC,
WY-CS
SC-CS.
(3)
Distinct,
time-varying
factors
different
relationships:
climate
topography
WY,
vegetation
CS,
economic
HQ,
SC.
Rapid
has
diminished
role
natural
factors.
(4)
The
coefficients
local
various
factors,
based
on
which
targeted
recommendations
can
be
proposed.
For
instance,
establishment
interconnected
small
wetlands
green
spaces
urban
areas
enhancement
multiple
ESs.
purpose
this
study
provide
scientific
insights
into
optimizations
key
services’
are
undergoing
urbanization.
Land Degradation and Development,
Год журнала:
2024,
Номер
35(10), С. 3448 - 3460
Опубликована: Апрель 25, 2024
Abstract
Nowadays,
studies
of
ecosystem
services
(ESs)
trade‐offs
and
synergies
in
karst
areas
are
limited
to
a
single
region.
In
particular,
the
quantification
nature
intensity
relationships
between
ESs
continuous
distribution
(CKDAs)
non‐karst
(NKAs),
full
understanding
drivers
behind
this
change
remains
challenge.
study,
province
Guizhou
China
was
used
as
study
area
framework
developed
analyze
spatial
variation
ESs.
The
utilized
Spearman,
geographical
detector,
multi‐scale
geographically
weighted
regression
(MGWR)
establish
connections
four
key
ESs:
habitat
quality
(HQ),
water
yield
(WY),
soil
conservation
(SC),
net
primary
productivity
(NPP).
Through
examination
these
relationships,
article
has
revealed
influence
driving
forces
on
ecological
process.
indicated
that:
(1)
During
period,
increased
steadily,
with
average
value
HQ
always
above
0.6,
WY,
SC,
NPP
by
2.32%,
6.07%,
15.18%,
respectively.
(2)
WY
had
trade‐off
relationship
other
ESs,
HQ,
were
synergistic
each
other.
(3)
CKDA,
topography
precipitation
dominated
SC
contrast,
NKA,
processes
involving
more
prominent
human/natural
interactions.
Therefore,
proposing
measures
at
different
scales
promote
development
is
great
importance
for
governance
sustainability
areas.
Land Degradation and Development,
Год журнала:
2024,
Номер
35(15), С. 4666 - 4681
Опубликована: Авг. 6, 2024
Abstract
Human
activities
and
regional
land
development
have
considerably
contributed
to
the
degradation
of
ecosystems
growing
contradiction
between
supply
demand
ecosystem
services
(ESs)
in
Jiangsu
Province,
China.
However,
few
studies
applied
a
comprehensive
approach
elucidate
patterns
evolutionary
characteristics
ESs
over
long
periods.
This
study
investigated
spatial–temporal
evolution
supply,
demand,
supply–demand
relationships
six
individual
Province
from
2000
2020.
It
revealed
key
drivers
changes
relationship
(CESSD)
using
geo‐detector
model
geographically
temporally
weighted
regression
address
shortcomings
previous
studies.
The
results
showed
that
at
provincial
level,
CESSD
presented
surplus
while
state
tended
be
imbalanced.
At
1‐km
2
grid
scale,
spatial
heterogeneity
was
obvious,
with
zones
primarily
distributed
Taihu
Lake
watershed,
hilly
areas,
riverside
zones,
watershed
Hongze
Gaoyou
Lake,
eastern
coastal
zone,
deficit
were
mainly
clustered
areas
concentrated
contiguous
construction
land.
From
2020,
area
increased
626
3257
km
degree
gradually
deepened,
socioeconomic
factors
having
greatest
influence
on
CESSD.
Our
findings
reveal
balance/imbalance
human
society
natural
ecology
highlight
need
for
effective
management
ecosystems.
Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110700 - 110700
Опубликована: Июль 29, 2023
With
the
development
of
human
society,
cultivated
land
resources'
utilization
has
become
more
diversified,
and
multifunction
is
critical
to
meet
demand.
However,
studies
on
are
mostly
based
data
single
time
node
or
discontinuous
years,
which
results
may
be
influenced
by
abnormal
function
years.
To
assess
its
trade-off/synergy
relationships
accurately
objectively,
this
study
uses
continuous
long
series
analyze
multifunctionality
land.
Firstly,
Long
short-term
memory
(LSTM)
method
was
applied
predict
2021–2030
from
2010
2020.
Then,
Theil-Sen
Median
used
spatiotemporal
evolution
trends
2030.
Secondly,
trends,
degree
(LCFTD)
constructed
explore
stable
among
functions.
Finally,
resources
were
divided
into
zones
spectral
clustering.
This
analyzed
in
Guangdong
(1)
The
had
spatially
heterogeneous
temporally
fluctuating.
(2)
production-ecological,
ecological-life,
production-life
functions
all
dominated
synergy
during
2010–2020.
Without
changing
current
state
resource,
trade-off
will
increase
future
(2021–2030).
(3)
five
type
zones:
development,
production
core,
ecological
conservation,
comprehensive
lifting,
fallow
renewal.
LCFTD
can
better
avoid
influence
also
trend
reliably.
idea
help
formulate
management
policies
achieve
goal
sustainable
resources.