Sustainability,
Journal Year:
2023,
Volume and Issue:
15(19), P. 14314 - 14314
Published: Sept. 28, 2023
Enhancing
the
supply
efficiency
of
ecosystem
services
plays
a
central
role
in
improving
both
natural
ecosystems
and
human
well-being.
Taking
Loess
Plateau
Northern
Shaanxi
as
an
example,
this
study
utilizes
InVEST
to
assess
water
yield
habitat
quality.
The
optimal
solutions
for
combination
these
two
are
calculated
on
basis
Pareto
principle.
production
possibility
frontier
curves
fitted,
services’
is
measured.
Furthermore,
employs
ordinary
least
squares
geographically
weighted
regression
analyze
dominant
factors
affecting
efficiency.
results
comprise
following
findings:
(1)
There
eighteen
representing
combinations
between
services.
(2)
increases
from
northwest
southeast
spatial
distribution.
(3)
vary
among
different
zones
Population,
hydrology,
gross
domestic
product
(GDP)
general-efficiency,
sub-low-efficiency,
low-efficiency
zones,
respectively.
Hydrology,
NDVI,
GDP
sub-high-efficiency
zone,
while
GDP,
terrain,
population
high-efficiency
zone.
In
conclusion,
paper
proposes
recommendations
reducing
trade-offs
enhancing
These
include
dynamic
supervising
moderate
greening
stabilizing
general-efficiency
development
intensity
low-
sub-low-efficiency
zones.
reveals
potential
approaches
offers
guidance
formulating
ecological
protection
plans.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110811 - 110811
Published: Aug. 14, 2023
Scientific
measurement
and
identification
of
the
spatiotemporal
differentiation
features
ecosystem
service
(ES)
trade-offs/synergies
their
controlling
factors
in
karst
regions
are
crucial
to
effective
distribution
environmental
resources.
In
this
paper,
Puding
County,
a
typical
county
southern
China,
was
taken
as
study
area.
The
Integrated
Valuation
Ecosystem
Services
Trade-offs
model,
other
models
were
used
reveal
spatial
stratified
heterogeneity
trade-off/synergy
relationship
carbon
storage,
water
conservation,
soil
conservation
net
primary
productivity.
An
optimal
parameter
geographic
detector
model
scientifically
identify
drivers
spatially
ESs.
research
findings
follows:
(1)
WC,
SC,
NPP
increased
by
16.72%,
162.81%,
145.55%,
177.97%,
respectively.
(2)
services
supply
greater
than
52%
for
both
paddy
fields
dryland.
hot
spots
ESs
concentrated
forest
land
area,
cold
construction
land,
dry
fields.
(3)
well
WC
CS,
exhibited
diminishing
trade-offs.
(4)
lithology,
slope,
annual
precipitation,
potential
evapotranspiration
affecting
lithology
∩
explained
37.48%
NPP,
precipitation
25.08%
WC.
provide
scientific
guidance
future
efforts
support
regional
economic
growth
sustainable
development
globally.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
154, P. 110591 - 110591
Published: July 3, 2023
Ecosystem
services
(ESs)
are
closely
related
to
human
well-being
(HWB).
Recently,
urbanization
has
increased
worldwide,
which
had
a
significant
impact
on
the
ecosystem
service
supply–demand
(ESSD)
and
HWB.
However,
previous
studies
have
primarily
focused
spatiotemporal
pattern
of
ESSD
HWB,
while
ignoring
their
evolutionary
pathways,
especially
in
karst
areas.
We
aimed
quantify
optimal
trade-offs
under
constraints
nonlinear
relationship
between
further
constructing
tree-like
framework
explore
pathways
urbanization,
ESSD,
HWB
from
landscape
evolution
perspective.
used
production
possibility
frontier
(PPF)
three
ESSDs,
generalized
additive
model
(GAM)
fit
geographic
tree
(Geotree)
construct
structure
levels,
comprehensive
(CESD),
There
is
trade-off
deficit
carbon
storage
(CS)
water
yield
(WY),
but
synergy
WY
surplus
FS.
Further,
there
CSs
food
supply
(FS).
The
response
CS
not
obvious,
FS
obvious.
Based
Geotree
model,
CESD,
present
strong
coupling
relationships,
show
characteristics
clustering,
stratified
heterogeneity,
evolution.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
157, P. 111303 - 111303
Published: Nov. 22, 2023
Understanding
of
the
ecosystem
services
(ESs)
supply–demand
balance,
coupling,
and
coordination
are
vital
for
sustainable
development
in
society.
To
reveal
changing
pattern
underlying
mechanisms
matching,
ESs,
this
study,
we
used
InVEST
model
to
quantify
supply
following
three
ESs
Hunan
Province
central
China
from
2000
2018:
soil
conservation
(SC),
water
yield
(WY),
carbon
retention
(CR).
Using
socioeconomic
data,
capacity
demand
food
(FS)
other
were
quantitatively
evaluated.
The
Z-score
standardized
data
divide
quadrants
clarify
matching
situation.
Additionally,
elasticity
coefficient
coupling
degree
(CCD)
evaluate
relationship
level.
Our
results
indicate
following:
(1)
CR
FS
increased
by
12.67%
19.48%,
respectively,
while
that
SC
WY
decreased
2.57%
22.83%,
respectively;
SC,
WY,
CR,
0.329%,
9.43%,
142.05%,
6.23%,
respectively.
is
less
than
demand,
showing
a
clear
contradiction;
exceeded
demand;
both
had
notable
spatial
heterogeneity.
(2)
area
high
supply–high
(HS–HD)
supply–low
(HS–LD)
types
decreased,
whereas
low
(LS–LD)
(LS–HD)
increased.
Changsha–Zhuzhou–Xiangtan
urban
agglomeration
(CZX)
selected
districts
northern
face
shortage
ESs.
(3)
was
primarily
positive
negative.
(4)
CCD
four
an
unbalanced
state
demonstrated
different
trends.
This
study
provides
novel
insights
decision-making
regarding
optimisation
land
use
Province.
