Analysis of Factors Influencing the Ecosystem Service Value in Yuzhong County and Multi-Scenario Predictions
Jixuan Yan,
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Gengxin Zhang,
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Wenning Wang
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et al.
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 833 - 833
Published: April 11, 2025
The
value
of
ecosystem
services
(ESV)
serves
as
a
crucial
metric
for
assessing
the
cost-effectiveness
ecosystems
and
evaluating
their
economic
worth.
Predicting
evolution
ESV
across
various
land
uses
under
different
scenarios
is
essential
maintaining
ecological
stability
fostering
sustainable
developm0ent.
Utilizing
use
change
data
combined
with
PLUS
predictive
model
service
equivalence
techniques,
this
study
analyzes
spatiotemporal
patterns
underlying
drivers
in
Yuzhong
County,
China.
results
indicate
that
overall
distribution
exhibits
“fragmented
northeast,
clustered
southwest”
pattern,
dominated
by
high-high
low-low
clustering.
Among
driving
factors,
elevation
exerts
greatest
influence
on
ESV,
followed
precipitation
population
density,
while
slope
contributes
least.
Under
natural
development
scenarios,
remains
relatively
stable
compared
to
base
year
2020.
In
contrast,
farmland
protection
scenario
effectively
preserves
associated
cultivated
land.
However,
leads
significant
decline
retraction
high-value
areas
an
expansion
low-value
regions.
These
insights
provide
fresh
perspective
analyzing
factors
influencing
conducting
multi-scenario
predictions,
thereby
aiding
resource
conservation
landscape
risk
prevention
strategies
region.
Language: Английский
Advancing Sustainability in Urban Planning by Measuring and Matching the Supply and Demand of Urban Green Space Ecosystem Services
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10306 - 10306
Published: Nov. 25, 2024
As
global
cities
rapidly
develop,
the
realization
of
sustainable
urban
development
has
become
a
pressing
concern.
critical
component
built
environment,
green
spaces
are
essential
for
maintaining
sustainability
ecosystems
by
offering
variety
ecological
benefits.
However,
there
some
problems
in
design
and
construction
framework,
which
often
disregard
real
needs
residents
hinder
areas.
Therefore,
planning
that
takes
into
account
supply
demand
relationship
space
is
considered
to
be
key
technology
should
help
improve
residents’
happiness
promote
development.
This
paper
Zunyi
City
as
an
example;
selects
six
indicators;
combines
UAV
images,
population,
economic,
environmental
data
evaluate
ecosystem
services
valuation
existing
city;
analyzes
its
social
needs.
Affected
land
utilization
density,
value
showed
low
spatial
density
characteristics
central
area
high
distribution
surrounding
area.
The
correlation
between
population
largest,
pattern
similar
density.
supply-demand
ratio
study
−0.54,
indicating
severe
imbalance
demand.
analysis
comprehensive
each
influencing
factor
shows
with
largest.
combination
maps
addresses
major
problem
planning,
namely,
ensuring
communities
have
priority
providing
based
on
society’s
need
services.
In
addition,
these
will
develop
best
planting
plans
meet
specific
different
communities.
Taken
together,
findings
can
city
planners
decision
makers
layout
areas,
increase
service
potential,
quality
sustainability.
Language: Английский
Dynamic Changes and Driving Force of Ecosystem Services Values Under Land Use/Land Cover Scenarios in Nanning, China
Jinlong Hu,
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Zhenhong Bin,
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Tingting Huang
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 10839 - 10839
Published: Dec. 11, 2024
A
comprehensive
understanding
of
the
spatial
and
temporal
patterns
changes
in
ecosystem
services,
along
with
their
driving
factors,
is
crucial
for
managing
ecosystems
effectively
ensuring
sustainable
development
area.
Intense
human
activities
rapid
urbanization
have
led
to
frequent
land
use/cover
changes.
Nanning,
as
a
rapidly
developing
city,
has
received
increasing
attention
its
services.
This
research
assesses
valuation
services
by
employing
equivalent
factor
approach,
utilizing
use
data
from
Nanning
City
spanning
period
2000
2020.
It
analyzes
dynamics
these
identifies
key
drivers
through
application
GeoDetector
model.
The
results
show
following:
(1)
Between
2020,
forests
were
predominant
City.
During
this
period,
significant
type
conversions
occurred,
largest
outflow
arable
inflow
construction
land.
(2)
Over
20
years,
aggregate
value
(ESV)
exhibited
declining
trend,
culminating
net
reduction
USD
1056.8
million.
Forest
ESVs
constituted
proportion
total
value,
exceeding
59%.
Among
individual
ESVs,
hydrological
regulation
climate
collectively
accounting
over
48%
contributing
20.7%
27.7%.
(3)
exhibit
pronounced
differentiation,
higher
values
concentrated
central
regions
lower
peripheral
zones.
Notably,
high-value
zones
are
experiencing
size,
while
low-value
progressively
expanding.
(4)
findings
analysis
indicate
that
soil
organic
matter,
rate,
annual
sunshine,
financial
expenditure,
population
density
primary
determinants
affecting
ESV.
Furthermore,
explanatory
power
influencing
factors
substantially
increased
following
interactive
detection.
provides
scientific
basis
management
strategies
policies
holds
substantial
significance
advancing
regional
development.
Language: Английский