Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
138, P. 108800 - 108800
Published: March 25, 2022
A
comprehensive
understanding
of
multiple
ecosystem
services
(ES)
across
the
landscape
is
a
key
highlight
management.
There
still
remain
weakness
to
integrate
ESs
for
mirroring
capability
ecosystems
deliver
in
broad
perspective.
Here,
we
proposed
index
(CESI)
integrating
based
on
multiplicative
method.
Water
supply
service,
carbon
storage
service
and
soil
conservation
were
assessed
using
multi-sources
remote
sensing
datasets
InVEST
models
build
CESI.
To
examine
suitability
performance
CESI,
took
Guangdong-Hongkong-Macao
Greater
Bay
Areas
(GBA)
as
test
region.
Meanwhile,
applied
two
previous
methods
used
commonly
assessing
ESs:
i)
cumulative
method
ii)
maximum
value
composite
construct
comparative
indexes
evaluating
CESI
with
help
spatial
autocorrelation
regression
analysis
from
pattern
numerical
distribution
The
results
showed
that
was
well
GBA
got
rid
limitation
single
ES.
observed
high-value
clustering
central
areas
low-value
outer
regions.
comparison
illustrated
linear
autocorrelation,
which
good
correlation
between
each
similar
clustering,
but
had
subtle
different
clustering.
Specifically,
expressing
better
than
other
could
indicate
benefits
manifest
lagging
provision
This
study
pave
way
new
approach
evaluate
socio-ecological
systems
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
Sustainable Development,
Journal Year:
2022,
Volume and Issue:
30(6), P. 1934 - 1946
Published: June 23, 2022
Policymakers
face
a
daunting
task
when
it
comes
to
achieving
sustainable
environmental
development
and
avoiding
additional
degradation.
This
study
examines
the
significance
of
green
technology
innovation
financing
in
creating
more
environment.
The
impact
investment
on
carbon
dioxide
(CO2)
emissions
has
yet
be
empirically
theoretically
examined
literature,
especially
conjunction
with
moderating
component,
particularly
social
globalisation.
Accordingly,
this
research
role
technological
reducing
CO2
G7
countries.
Our
uses
empirical
data
from
panel
countries
covering
period
1995
2019.
We
employ
advanced
approaches
address
analysis
concerns,
such
as
cross-sectional
dependence,
structural
break,
slope
heterogeneity
(the
Banerjee
Carrion-i-Silvestre
unit
root
cointegration
test
augmented
ARDL).
shows
that
(GINV)
well
(GFIN)
have
negative
but
significant
emissions.
Whilst
economic
growth
shown
positive
countries,
globalisation
positively
moderates
relationship
between
GDP,
negatively
significantly
causes
GFIN
GINV
amongst
According
our
study,
would
able
meet
United
Nations'
SDG-7
SDG-13
targets
if
they
implemented
policies.
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.
