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.
Remote Sensing,
Год журнала:
2024,
Номер
16(13), С. 2370 - 2370
Опубликована: Июнь 28, 2024
The
ecological
quality
of
river
basins
is
significantly
influenced
by
the
complex
network
structures
and
their
connectivity.
This
study
measured
temporal
spatial
variability
quality,
as
reflected
remote
sensing
indices
(RSEI),
examined
responses
to
connectivity
(RNC).
In
total,
8
RNC
indices,
including
structure
density
(Dr),
water
surface
ratio
(Wr),
edge-node
(β),
(γ),
node
importance
betweenness
centrality
(BC),
PageRank
(PG_R),
out_degree
(Out_D),
in_closeness
(In_C),
were
generated
at
subbasin
scale.
Our
results
highlighted
significance
in
influencing
both
values
RSEI,
extent
this
influence
varied
across
different
time
periods.
Specifically,
three
distinct
clusters
can
be
extracted
from
representing
wet,
near-normal,
dry
years.
index
γ
patterns
RSEIs,
particularly
wet
years
(R2
=
0.554),
whereas
β
displayed
a
pronounced
U-shape
correlation
with
RSEIs
0.512).
Although
did
not
correlate
directly
RSEI
levels,
did,
they
positively
affected
(EI_SD_t).
Higher
PG_R,
Out_D,
In_C
associated
increased
variability.
Based
on
these
correlations,
we
developed
RNC-based
EI_SD_t
models
high
adjusted
coefficients
determination
facilitate
assessment
ecosystem
quality.
provides
essential
insights
into
dynamics
related
within
basin
offers
valuable
guidance
for
effective
watershed
management
conservation
efforts
aimed
enhancing
resilience
sustainability.
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
ABSTRACT
As
urbanization
and
industrialization
advance,
China
faces
increasingly
severe
ecological
challenges.
The
Ecological
Protection
Redline
(EPR)
policy
is
a
crucial
tool
for
land
use
management
protection
but
requires
comprehensive
risk
assessment
method
to
address
ongoing
This
study
integrated
multiple
factors
with
resilience
theory
establish
“Hazard‐Exposure‐Vulnerability‐Damage‐Final
Risk”
framework,
assessing
the
spatiotemporal
dynamics
risks
of
different
EPR
types
in
Qinghai
Province
over
20
years.
Path
analysis
was
further
used
reveal
relationships
between
stages.
Results
show
increasing
hazards
exposure
Water
Conservation
(WC),
Biodiversity
Maintenance
(BM)
Land
Desertification
(LD)
types,
improved
water
conservation,
stable
biodiversity,
controlled
desertification
vulnerability
across
regions.
Integrated
results
downward
trend
WC
type,
BM
type
fluctuated
improved,
an
initial
increase
followed
by
decrease
LD
type.
revealed
that
damage
WC‐type
driven
direct
hazard
impacts,
BM‐type
vulnerability,
LD‐type
indirect
effects
through
exposure.
emphasizes
optimization
policies
reducing
external
disturbances
enhancing
ecosystem
resilience,
providing
recommendations
practical
experience
sustainable
management.