Sustainability,
Journal Year:
2022,
Volume and Issue:
14(15), P. 9166 - 9166
Published: July 26, 2022
Human
activities
have
a
significant
impact
on
global
ecosystems.
Assessing
and
quantifying
ecological
vulnerability
is
fundamental
challenge
in
the
study
of
ecosystem’s
capacity
to
respond
anthropogenic
disturbances.
However,
little
research
has
been
conducted
EVA’s
existing
fuzzy
uncertainties.
In
this
paper,
an
assessment
(EVA)
framework
that
integrated
Exposure-Sensitivity-Adaptive
Capacity
(ESC)
framework,
method,
multiple-criteria
decision
analysis
(MCDA),
took
into
account
human
impacts,
was
developed
address
uncertainties
process.
For
first
time,
we
provincial-scale
case
China
illustrate
our
proposed
methodology.
Our
findings
imply
China’s
spatially
heterogeneous
due
regional
differences
exposure,
sensitivity,
adaptive
indices.
The
results
cause
can
provide
guidance
for
further
decision-making
facilitate
protection
quality
over
medium
long
term.
EVA
also
be
duplicated
at
multiple
spatial
temporal
dimensions
utilizing
context-specific
datasets
assist
environmental
managers
making
informed
decisions.
Land Degradation and Development,
Journal Year:
2023,
Volume and Issue:
34(13), P. 3810 - 3822
Published: Feb. 1, 2023
Abstract
Rapid,
long‐term,
and
robust
wetland
ecological
risk
assessment
is
critical
for
managing
coastal
zones.
In
view
of
the
characteristics
frequent
human
activities
broken
plots
in
zone,
traditional
method
not
fine
enough.
Satellite
earth
observation
provides
an
unparalleled
source
data
rapidly
monitoring
assessing
risks
through
time
across
a
large
spatial
range.
With
support
multi‐source
remote
sensing
such
as
precipitation,
temperature,
night
light,
land
cover
products,
etc.,
established
this
paper,
evaluated
year
by
grid.
The
evaluation
results
indicate
that
level
wetlands
Jiangsu
Province
has
shown
upward
trend
since
2015,
with
high
north
low
south,
area
mainly
appears
northwest.
Meanwhile,
year‐by‐year
grid
can
only
accurately
describe
temporal
distribution
but
also
clarify
areas.
Additionally,
obtained
year‐on‐year
consecutive
years
clustering
zoning
according
to
time‐series
better
represent
status
period
exclude
impact
accidental
factors
on
results.
Although
optimization
different
types
improve
accuracy
assessment,
more
longer
term
larger
scale,
combined
carbon
emissions,
will
provide
basis
global
management.
Frontiers in Environmental Science,
Journal Year:
2022,
Volume and Issue:
10
Published: Nov. 28, 2022
Estuarine
tidal
flats
are
located
in
the
land-sea
crisscross-sensitive
zone.
The
degraded
and
shrinking
state
of
major
flat
landscapes
weakens
their
ecological
role
maintaining
safety
coastal
wetlands
world.
However,
little
attention
has
been
paid
to
landscape
evolution
risks
due
being
periphery
estuarine
wetlands.
This
study
was
conducted
Liaohe
estuary
GIS
spatial
analysis
a
transition
matrix
were
combined
explore
characteristics.
risk
faced
by
evaluated
model
constructed
indexes.
key
driving
factors
threshold
values
that
affect
clarified
using
geographical
detectors
regression
methods.
results
showed
mainly
evolved
into
natural
wetland
before
2000
rapidly
changed
an
artificial
between
2010;
proportion
then
began
decline
after
2010.
Over
past
30
years,
this
area
generally
at
medium
level.
index
decreasing
trend
with
increases
diversity.
low-risk
plaques
have
gradually
replaced
high-risk
medium-risk
exposed
human
development
activities
affecting
flats.
River
sediment
discharge
factor
stable
Therefore,
should
be
controlled
within
appropriate
limit,
material
supply
upstream
basin
guaranteed
maintain
stability
form
protection
utilization
future.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(15), P. 9166 - 9166
Published: July 26, 2022
Human
activities
have
a
significant
impact
on
global
ecosystems.
Assessing
and
quantifying
ecological
vulnerability
is
fundamental
challenge
in
the
study
of
ecosystem’s
capacity
to
respond
anthropogenic
disturbances.
However,
little
research
has
been
conducted
EVA’s
existing
fuzzy
uncertainties.
In
this
paper,
an
assessment
(EVA)
framework
that
integrated
Exposure-Sensitivity-Adaptive
Capacity
(ESC)
framework,
method,
multiple-criteria
decision
analysis
(MCDA),
took
into
account
human
impacts,
was
developed
address
uncertainties
process.
For
first
time,
we
provincial-scale
case
China
illustrate
our
proposed
methodology.
Our
findings
imply
China’s
spatially
heterogeneous
due
regional
differences
exposure,
sensitivity,
adaptive
indices.
The
results
cause
can
provide
guidance
for
further
decision-making
facilitate
protection
quality
over
medium
long
term.
EVA
also
be
duplicated
at
multiple
spatial
temporal
dimensions
utilizing
context-specific
datasets
assist
environmental
managers
making
informed
decisions.
