Remote Sensing,
Год журнала:
2024,
Номер
16(21), С. 3993 - 3993
Опубликована: Окт. 28, 2024
The
evaluation
and
prediction
of
ecological
benefits
are
significant
for
regional
resource
development
planning
path
designing.
This
study
established
a
novel
system
by
integrating
macro-ecosystem
structure,
Ecosystem
service
index
(ESI),
quality
(EQI).
Based
on
this
system,
evaluated
the
spatiotemporal
characteristics
changing
trend
in
Song-Liao
River
Basin
(SRB)
from
1990
to
2020.
results
show
that
structure
remains
stable,
ecosystem
generally
first
decline
then
increase.
average
growth
rates
ESI
EQI
were
0.6%
0.4%,
respectively,
during
1990–2020.
natural
areas
with
widely
distributed
forest
higher,
while
those
frequent
human
activities
lower.
model
based
machine
learning
has
achieved
good
modeling
effect,
which
shows
SRB
will
be
rise
future.
results,
we
suggest
more
environmental
protection
policies
basis
maintaining
existing
plan
should
promoted
reduce
contradiction
between
nature
process.
For
abundant
forests
area,
reasonable
management
carried
out
improve
carbon-fixation
capacity
vegetation,
Methodology
managing
constructed
make
full
use
carbon
sinks.
new
afforestation
project
being
promoted,
carbon-sink
projects
CCER
(Chinese
Certified
Emission
Reduction)
realize
synergy
economic
protection.
Applied Economics Letters,
Год журнала:
2024,
Номер
31(16), С. 1590 - 1597
Опубликована: Авг. 7, 2024
How
does
artificial
intelligence
affect
provincial
ecological
resilience?
This
study
incorporates
intelligence,
resilience,
government
environmental
attention
and
public
concern
into
a
framework
to
construct
research
model,
selects
the
panel
data
of
30
provinces
in
Chinese
mainland
from
2012
2021.
The
multiple
regression
analysis
method
is
used
empirically
analyse
impact
on
moderating
roles
played
by
concern.
finds
that
there
positive
which
confirmed
various
robustness
tests.
Meanwhile,
significant
promotion
role
for
resilience
eastern
region,
while
non-eastern
region
not
significant.
Government
play
resilience.
Recognizing
these
findings,
policymakers
can
design
targeted
support
plans
promote
development
as
well
facilitate
achieve
enhancement
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Окт. 19, 2024
In
low
mountain
and
hilly
regions,
vegetation
cover
is
higher
plant
growth
has
an
accumulative
effect,
sequestering
carbon
more
strongly.
The
traditional
remote
sensing
based
ecological
index
(RSEI)
lacks
the
consideration
of
productivity,
using
it
to
evaluate
environment
in
regions
will
be
biased.
this
study,
productivity
was
introduced
construct
a
natural
(NRSEI)
that
responds
as
example
Gaizhou
City,
China.
Additionally,
study
explored
spatiotemporal
evolution
quality
from
2014
2020
quantified
influences
factors.
results
show
first
principal
component
(PC1)
increased
56
67%
65–87%
considered
accumulation
process
ecosystem.
NRSEI
valid.
From
2020,
generally
declined
then
increased.
area
with
"Excellent"
23
38%.
ecosystems
west,
northwest,
south
deteriorated
significantly,
distribution
pattern
"high
center,
north
south".
Landuse
topographic
conditions
dominate
impacts
on
ecosystem
context
social,
economic
policy
influences.
interactions
factors
were
two-factor
enhancement
together
affect
environment.
contribute
development
urban
conservation
policies
regions.
International Journal of Sustainable Development & World Ecology,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Окт. 28, 2024
Accurate
analysis
of
regional
eco-environment
quality
(EEQ)
changes
is
essential
for
urban
sustainability.
Most
the
widely
used
EEQ
indicators
ignore
impact
air
pollution
caused
by
urbanization
and
economic
growth.
This
study
proposed
a
remote
sensing-based
approach
using
time-series
comprehensive
evaluation
index
(CEI),
which
was
developed
PM2.5
concentration,
Land
surface
temperature
(LST),
vegetation
coverage
(VC)
to
assess
in
Demonstration
Zone
Green
Integrated
Ecological
Development
The
Yangtze
River
Delta
(demonstration
zone)
from
2000
2020.
all
districts
townships
were
classified
into
five
levels.
results
suggested
that
2020,
CEI
significantly
decreased
(p
<
0.01)
demonstration
zone,
indicating
an
overall
improvement
EEQ.
Differences
mean
annual
values
found
among
wnships.
Higher
values,
indicated
lower
degree
areas
where
build-up
land
comprised
higher
percentage
total
area.
Townships
with
degraded
change
exhibited
increase
(32.3%)
than
others
(8.67%
16.68%)
Moreover,
at
administrative
district
scale
be
strongly
correlated
proportion
secondary
sector
GDP
three
districts.
our
importance
use
optimization,
reduction,
enhancement
improve
wetland
ecosystems
rapid
urbanization.
Remote Sensing,
Год журнала:
2024,
Номер
16(21), С. 3993 - 3993
Опубликована: Окт. 28, 2024
The
evaluation
and
prediction
of
ecological
benefits
are
significant
for
regional
resource
development
planning
path
designing.
This
study
established
a
novel
system
by
integrating
macro-ecosystem
structure,
Ecosystem
service
index
(ESI),
quality
(EQI).
Based
on
this
system,
evaluated
the
spatiotemporal
characteristics
changing
trend
in
Song-Liao
River
Basin
(SRB)
from
1990
to
2020.
results
show
that
structure
remains
stable,
ecosystem
generally
first
decline
then
increase.
average
growth
rates
ESI
EQI
were
0.6%
0.4%,
respectively,
during
1990–2020.
natural
areas
with
widely
distributed
forest
higher,
while
those
frequent
human
activities
lower.
model
based
machine
learning
has
achieved
good
modeling
effect,
which
shows
SRB
will
be
rise
future.
results,
we
suggest
more
environmental
protection
policies
basis
maintaining
existing
plan
should
promoted
reduce
contradiction
between
nature
process.
For
abundant
forests
area,
reasonable
management
carried
out
improve
carbon-fixation
capacity
vegetation,
Methodology
managing
constructed
make
full
use
carbon
sinks.
new
afforestation
project
being
promoted,
carbon-sink
projects
CCER
(Chinese
Certified
Emission
Reduction)
realize
synergy
economic
protection.
