Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
148, P. 110089 - 110089
Published: March 6, 2023
Located
in
the
hilly
and
mountainous
central
area
of
national
ecological
security
strategic
pattern
(described
as
"two
barriers
three
green
belts"),
southern
Jiangxi
is
an
important
barrier
southeast
China
a
pilot
for
mountains-rivers-forests-farmlands-lakes-grasslands
restoration
projects.
In
recent
years,
rapid
economic
development
region
changes
land
use,
agricultural
intensification,
population
urbanization
have
severely
tested
this
ecosystem
on
which
people
depend
their
survival.
Currently,
studies
ecosystems
interactions
from
single
spatial
perspective
sprung
up,
but
only
few
comprehensively
analyzed
different
scales
to
facilitate
sustainable
regional
ecosystems.
Multi-scale
should
be
carried
out
quantitatively
understand
relationship
between
services
(ESs)
socio-natural
drivers,
attempt
find
suitable
scale
assess
ESs
or
achieve
complementary
advantages
by
combining
multi-scales
so
conduct
hierarchical
management
ESs.
Therefore,
better
interplay
goals
development,
we
evolutionary
patterns,
trade-offs,
synergies
our
analysis,
also
looked
at
bundling
drivers
seven
township
watershed
2000–2020
Jiangxi.
Crop
production,
meat
water
yield,
carbon
storage,
soil
retention,
habitat
quality,
forest
recreation
were
specifically
quantified,
redundancy
analysis
was
used
explore
influence
degree
precipitation,
temperature,
elevation,
slope,
GDP,
density
The
results
showed
that
most
increased
Jiangxi,
indicating
temporal
heterogeneity.
effect
trade-off
synergy
variation
similar,
amplitude
different.
Compared
with
scale,
overall
bundle
identified
clustered
scale.
addition,
Cluster
4
3
can
identify
high-value
areas
study
area.
growth
GDP
caused
main
driving
factors
difference
two
Our
provide
recommendations
governance
support
conducting
comprehensive
spatio-temporal
mechanisms
scales.
Resources Conservation and Recycling,
Journal Year:
2022,
Volume and Issue:
189, P. 106767 - 106767
Published: Nov. 17, 2022
Uncovering
the
complex
interactions
among
ecosystem
services
(ESs)
is
a
prerequisite
for
managing
multiple
ESs
simultaneously.
We
mapped
supply
of
six
ESs,
quantified
their
trade-offs/synergies
and
bundles,
determined
dominant
social-ecological
drivers,
subsequently
provided
sustainable
spatial
planning
management
strategies
at
both
grid
sub-watershed
scales.
The
results
revealed
that:
(1)
patterns
were
spatially
heterogeneous,
with
food
production
decreasing
most,
by
14.86%
(grid
scale)
17%
(sub-watershed
scale),
water
increasing
22.46%
22.57%
from
2000
to
2020;
(2)
ten
ES
pairs
presented
synergies
while
five
related
showed
trade-offs
scales,
three
scale
two
experiencing
declined
or
increased
trade-offs;
(3)
our
spatial-temporal
cross-scale
analysis
identified
as
an
additional
priority
in
bundles
zoning
basis
similarities
divergences
drivers
different
scales
require
linkage
distinct
focus
Thus,
we
integrated
knowledge
on
into
underpin
across
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
138, P. 108825 - 108825
Published: April 8, 2022
Global
changes
have
significant
impacts
on
in
ecosystem
services
(ESs)
and
their
interrelationships.
The
Yellow
River
Basin
(YRB)
is
an
important
ecological
barrier
China,
it
for
decision-making
management
the
basin
by
quantitatively
assessing
trends
drivers
of
ESs
analyzing
trade-offs
synergies
among
them.
In
this
study,
food
production
model,
InVEST
RUSLE
model
were
used
to
assess
three
(food
production,
water
yield,
soil
conservation)
YRB
from
2000
2018.
spatio-temporal
future
quantified
using
Theil-Sen
Median
trend
analysis
Hurst
exponent.
Correlation
was
determine
main
influencing
factors
analyze
ESs.
research
results
show
that
during
2000–2018,
terms
spatial
distribution,
gradually
decreases
east
west,
yield
south
north,
dominant
areas
conservation
are
mainly
distributed
plateau
upper
middle
reaches
basin;
temporal
changes,
shows
a
continuous
increase,
while
generally
increasing
fluctuation.
Excluding
with
no
change
random
change,
will
improvement
future,
some
degree
decline
future.
Food
influenced
type
land
use,
precipitation,
combination
slope
use
type.
dominated
synergy
but
locally
trade-offs.
Our
provide
reference
policymakers
construction,
regional
holistic
local
context
based
assessment
ESs,
thus
providing
basis
formulating
scientific
reasonable
protection
policies,
promote
high-quality
development
YRB.