Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110812 - 110812
Опубликована: Авг. 27, 2023
Vegetation
change
has
a
non-negligible
role
in
the
impact
of
ecosystem
services
(ESs).
Quantitative
assessment
vegetation
is
basis
for
sustainable
regional
development.
Using
Chinese
Loess
Plateau
(LP)
as
study
area,
this
firstly
analysed
spatial
and
temporal
characteristics
used
Geodetector
model
to
reveal
driving
mechanism.
Next,
applied
InVEST
quantitatively
assess
four
carbon
storage,
habitat
quality,
soil
conservation
water
yield,
explored
service
balance
through
type
transfer.
The
results
showed
that
(1)
there
was
trend
towards
an
increase
area
all
types,
with
sparse
being
most
pronounced.
Areas
damaged
were
concentrated
urban
peripheral
areas,
well
wasteland
bare
ground.
(2)
Annual
precipitation,
types
cumulative
afforestation
ratio
main
drivers
on
LP.
(3)
Restoration
woodland
enhanced
quality
retention
LP,
while
yield
decreased
by
31.66%.
restoration
did
not
enhance
services.
This
may
provide
reference
management
ecosystems.
In
recent
years,
with
economic
development,
urbanization
has
been
accelerating.
the
past
100
global
average
temperature
increased
by
0.5°C,
and
according
to
predictions
of
most
climate
models,
will
continue
increase
1.5°C
3.0°C
in
next
years.
Under
influence
warming,
urban
heat
island
effect
problem
is
becoming
more
serious,
bringing
much
harm.
Studying
thermal
its
influencing
factors
great
significance
for
sustainable
development.
this
study,
seasonal
interannual
surface
changes
study
area
are
inverted
based
on
SW-TES
algorithm,
LST
inversion
algorithm
simply
verified.
At
same
time,
a
cell
dichotomous
model
was
established
explore
different
land
use
types
normalized
vegetation
indices
Hangzhou
metropolitan
analyzed.
The
results
showed
that
overall
heating
trend
trend,
expansion
rate
regional
construction
relatively
fast,
scale
increasing.
Based
areas
types,
we
obtained
trends
each
type
[from
2005
2018]
found
there
negative
correlation
between
index.
This
provides
theoretical
basis
evaluate
analyze
impact
it
would
promote
Sustainability,
Год журнала:
2024,
Номер
16(14), С. 6237 - 6237
Опубликована: Июль 22, 2024
Changes
in
land
use
patterns,
types,
and
intensities
significantly
impact
ecosystem
services.
This
study
follows
the
time
series
logic
from
history
to
expected
future
investigate
spatial
temporal
characteristics
of
changes
Ezhou
their
potential
impacts
on
services
value
(ESV).
The
results
show
that
Markov–FLUS
model
has
strong
applicability
predicting
pattern
use,
with
a
Kappa
coefficient
0.9433
FoM
0.1080.
Between
2000
2020,
construction
expanded
continuously,
while
water
area
remained
relatively
stable,
other
types
experienced
varying
degrees
contraction.
Notably,
compared
2000,
it
by
70.99%
2020.
Moreover,
watershed
9.30%
2010,
but
there
was
very
little
change
following
10
years.
Under
three
scenarios,
significant
differences
were
observed
City,
driven
human
activities,
particularly
expansion
land.
In
inertial
development
scenario,
313.39
km2
2030,
representing
38.30%
increase
Conversely,
under
farmland
protection
increased
237.66
km2,
4.89%
rise
However,
ecological
priority
253.59
10.13%
Compared
ESV
losses
inertia
scenarios
USD
4497.71
1072.23,
respectively,
2030.
scenario
2749.09,
emphasizing
importance
prioritizing
City’s
development.
may
provide
new
clues
for
formulation
regional
strategies
sustainable
restoration.
