Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(5), P. 2101 - 2101
Published: March 2, 2024
The
preservation
of
biodiversity
is
crucial
for
maintaining
ecological
balance
and
promoting
the
harmonious
development
mankind
nature.
To
formulate
a
conservation
plan
Guilin
in
China
accurately
evaluate
impact
measures
on
regional
biodiversity,
this
study
combined
InVEST
model
(v
3.7.0),
GeoSOS-FLUS
2.3),
landscape
pattern
index,
analyzing
spatiotemporal
changes
from
2000
to
2020
simulating
under
different
scenarios
2040.
results
showed
following:
(1)
index
displayed
declining
trend,
with
average
annual
value
decreasing
0.875
0.870
2020.
area
experiencing
reduction
was
primarily
concentrated
around
city.
(2)
level
each
district
county
had
large
difference,
overall
distribution
characteristics
“higher
northwest,
southwest,
east,
lower
northeast,
southeast
central”.
(3)
hotspots
were
identified
as
priority
areas
conservation;
woodland
wetland
effectively
protected,
expansion
construction
land
arable
limited
protection
scenario
compared
natural
scenario.
(4)
could
reach
0.872
2040
after
adoption
measures,
which
0.013
higher
than
can
provide
guidance
national
sustainable
city
use
planning
Guilin,
well
scientific
reference
creation
policies.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 564 - 564
Published: March 7, 2025
Urban
green
space
systems
(UGSS)
play
a
crucial
role
in
enhancing
citizens’
well-being
and
promoting
sustainable
urban
development
through
their
ecosystem
service
values
(ESV).
However,
understanding
the
spatiotemporal
changes,
driving
factors,
influencing
mechanisms
of
ESV
remains
critical
challenge
for
advancing
theories
formulating
effective
policies.
This
study
focuses
on
Suzhou,
China’s
third-largest
prefecture-level
city
by
economic
volume
ecological
core
Taihu
watershed,
to
evaluate
its
UGSS
from
2010
2020,
identify
key
analyze
mechanisms.
Using
InVEST
model
combined
with
entropy
weight
method
(EWM),
we
assessed
changes
over
period.
To
examine
mechanisms,
employed
an
innovative
XGBoost-GWR
approach,
where
XGBoost
was
used
screen
globally
significant
factors
37
potential
drivers,
geographically
weighted
regression
(GWR)
applied
local
spatial
heterogeneity,
providing
research
perspective
that
balances
global
nonlinear
relationships
heterogeneity.
The
results
revealed
three
findings:
First,
while
Suzhou’s
increased
9.92%
Global
Moran’s
I
index
rose
0.325
0.489,
indicating
distribution
became
more
uneven,
highlighting
risks.
Second,
climate,
topography,
landscape
pattern,
vegetation
emerged
as
most
topographic
showing
greatest
variation
(the
negatively
impacted
area
455.60
km2)
climate
having
largest
overall
impact
but
least
variation.
Third,
were
primarily
driven
land
use
resulting
urbanization
industrialization,
leading
risks
such
soil
erosion,
pollution,
fragmentation,
habitat
degradation,
particularly
Kunshan,
Wujiang,
Zhangjiagang
Districts,
agricultural
has
been
extensively
converted
constructed
land.
not
only
elucidates
UGSS’s
also
expands
theoretical
urbanization’s
impacts,
valuable
insights
optimizing
layout
informing
planning
Land,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1009 - 1009
Published: July 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,
Journal Year:
2025,
Volume and Issue:
14(2), P. 319 - 319
Published: Feb. 5, 2025
The
development
of
inner
harbors
has
been
accompanied
by
the
destruction
natural
landscapes,
which
in
turn
led
to
numerous
ecological
problems.
However,
temporal
and
spatial
relationships
between
changes
harbor
landscape
effects
are
not
yet
clear,
there
relatively
few
studies
at
smaller
scales
such
as
villages.
In
this
study,
we
investigated
Xieqian
Harbor
Xiangshan
County,
along
eastern
coast
China,
then
analyzed
change
evolutionary
characteristics
carbon
storage,
soil
conservation,
water
yield
village
scale
for
years
2000,
2010,
2020.
We
used
geographically
temporally
weighted
regression
(GTWR)
model
explore
spatiotemporal
variables
effects.
results
showed
that
fragmentation
diversity
patches
increased
from
2000
2020
due
reclamation
aquaculture,
tourism
development,
construction,
reflected
edge
density
(ED)
Shannon
index
(SHDI),
11.31%
2.82%,
respectively.
This
resulted
a
notable
reduction
572.6
thousand
tons
sequestration,
853
million
19
cubic
meters
over
past
20
years.
When
non-stationarity
heterogeneity
were
combined,
relationship
became
highly
intricate,
with
varying
responses
across
different
time
periods
locations.
area-weighted
mean
patch
shape
(AWMSI)
was
key
factor
affecting
three
Our
research
confirmed
significant
on
scale.
Compared
larger-scale
studies,
village-scale
revealed
more
precisely
impacts
localized
effects,
providing
support
sustainable
management
new
approach
integrating
GTWR
into
time–space
analysis
research.
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 411 - 411
Published: Feb. 16, 2025
Ecosystem
services
(ESs)
are
increasingly
recognized
as
critical
to
sustainable
development
and
human
well-being
frequently
used
indicators
in
environmental
governance
policies.
However,
existing
studies
mostly
assess
the
performance
of
isolated
single
ESs,
ignoring
management
data
needs
local
governments
for
comprehensive
gate-keeping
easy
monitoring
regional
ecosystems,
lacking
holistic
ESs.
To
address
these
shortcomings,
this
study
assessed
spatial
changes
five
main
ESs
Yangtze
River
basin
(YTRB)
China
by
creating
a
indicator
(CESI)
using
multi-source
data,
introduced
hotspot
analyses
econometric
models
explore
driving
forces
CESI.
Results
showed
that
during
period,
CESI
YTRB
increased
from
0.44
2000
0.47
2020.
High-value
areas
were
mainly
concentrated
hilly
mountainous
regions,
whereas
low-value
predominantly
situated
plain
areas.
From
2020,
hot
spots
primarily
located
middle
lower
reaches
YTRB.
Conversely,
cold
upper
The
regression
analysis
revealed
significant
negative
association
between
socioeconomic
factors
CESI,
while
positive
natural
background
Of
factors,
average
precipitation
has
largest
effect
on
with
each
1%
increase
resulting
up
0.369%
In
contrast,
GDP
density
had
greatest
impact
triggering
reduction
6.210%.
findings
suggest
which
integrates
multiple
can
effectively
simplify
difficulty
ecological
regulation.
mechanism
indicates
protection
policies,
when
combined
conditions
intensity
activities
region,
would
be
more
coherent
varying
regulatory
intensities.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 1942 - 1942
Published: Feb. 25, 2025
The
preservation
and
enhancement
of
ecosystem
services
are
essential
for
maintaining
ecological
balance
sustainable
growth.
Heihe
River
Basin
(HRB)
is
important
security
in
Northwest
China,
yet
a
fragile
environment.
Understanding
the
dynamics
evolution
ESs
vital
balancing
resource
exploitation,
socioeconomic
development,
protection.
Using
InVEST
model,
we
calculated
water
yield,
habitat
quality,
carbon
stock
HRB
during
2000–2020
examined
shifts
services.
Trade-offs
synergies
among
were
assessed
using
GeoDa
key
drivers
identified
through
geodetector
model.
spatial
distribution
storage
varied
significantly,
with
high
values
concentrated
upstream
Qilian
Mountains
low
downstream
desert
areas.
High
clusters
stable,
yield
increased
subsequently
decreased,
quality
fluctuated.
Carbon
storage,
exhibited
synergistic
relationship.
Climate
topography,
particularly
vapor
emissions
elevation,
primary
factors
influencing
ESs,
while
had
lesser
impact.
These
findings
provide
valuable
insights
management
conservation
other
arid
inland
watershed
regions.