Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7371 - 7371
Published: Aug. 27, 2024
The
Giant
Panda
National
Park
(GPNP)
and
its
surrounding
areas
constitute
a
comprehensive
ecosystem
aimed
at
protecting
the
natural
habitat
of
giant
pandas,
maintaining
biodiversity,
ensuring
ecological
balance.
Investigating
spatial
correlation
between
landscape
pattern
indices
sensitivity
(ES)
in
this
area
is
crucial
step
construction
civilization
contributes
significantly
to
conservation,
restoration,
environmental
management.
This
study
utilized
Geographic
Information
Systems
(GIS)
Fragstats
software
select
nine
evaluation
factors
four
comprehensively
evaluate
ES
patterns
GPNP
areas.
discovered
that
substantially
higher
than
neighboring
areas,
with
northern
Qionglai
Mountain
western
Minshan
showing
highest
concentrations
exceptionally
high
sensitivity.
Highly
sensitive
account
for
35.22%
region,
concentrated
within
national
park,
except
Qinling
area,
as
well
southern
distribution
moderately
more
uniform,
while
low
insensitive
are
found
primarily
eastern
along
park’s
environs.
Patch
density
(PD)
lower
PD
central
parts.
division
index
(DIVISION)
decreases
from
west
east,
disturbance
(LDI)
park
small
LDI
entire
region.
Moran’s
analysis
shows
positively
correlated
(PD,
SPLIT,
DIVISION,
LDI),
strongest
DIVISION
Spatially,
internal
have
but
sensitivity,
region
exhibits
severe
fragmentation.
Major
clusters
values
around
Qionglai-Daxiangling
indicating
these
complex
structures,
numerous
edges,
significant
impacts
on
biodiversity
processes.
Overall,
exhibit
levels
fragmentation,
emphasizing
need
focused
protection
part
QLS
MS
Additionally,
attention
should
be
given
impact
fragmentation
interior
GPNP.
These
results
provide
scientific
evidence
sustainable
development
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(12), P. 7260 - 7260
Published: June 18, 2023
Hydro-electric
development
has
received
increasing
attention
due
to
its
characteristics
of
ecological
and
environmental
protection.
In
addition,
aquatic
functional
zoning
plays
a
key
role
in
the
management
basin
because
background
basic
unit.
However,
hydropower
function
seldom
been
considered
zoning.
This
research
proposes
framework
for
on
aquatic-and-terrestrial-coupled
ecosystem
with
crowdsourced
geospatial
data
spatial-clustering
method.
Sichuan
Province
was
selected
as
area
critical
hydroelectric
position
China,
it
is
divided
into
53
level
3
zones,
27
2
17
1
zones.
Focusing
results
zoning,
ecological-environmental
problem
each
future
are
discussed.
The
soil-erosion
did
not
overlap
hydroelectric-construction-affected
Further,
water
pollution
occurred
construction
zones
core
affected
Fu
River
Basin
Jialing
Basin.
next
10
years,
middle
upper
reaches
trunk
Ya-lung
will
become
areas
hydropower-engineering
projects.
provides
new
insight
various
regional
projects
sustainable
watersheds,
which
helpful
hydroelectric-energy
development.
Rapid
urbanization
has
led
to
many
ecological
problems
such
as
landscape
fragmentation,
decreased
connectivity,
and
biodiversity.
Building
an
security
pattern
is
important
way
ensure
maintain
sustainable
urban
development.
Harbin
large-scale
city
in
northeastern
China,
the
central
district
of
used
study
area.
Ecological
sensitivity
assessment,
MSPA,
gravity
model,
connectivity
assessment
MCR
model
were
extract
source
areas,
corridors
nodes
area
construct
optimize
pattern.
Research
shows
that:
A
total
23
areas
identified,
mainly
located
along
Songhua
River
part
mountain
forest
within
A-cheng
District
southeastern
48
extracted,
Daowai
District,
eastern
Xiangfang
District.
There
are
8
10
connecting
corridors.
61
first
level
65
second
extracted.
High,
higher,
medium,
lower
low
classified
based
on
minimum
cumulative
resistance
surface,
with
highest
proportion
high
accounting
for
45.75%
breakpoints
extracted
restoration
measures
proposed.
Finally,
The
structure
optimization
"two
axes,
two
belts
four
areas"
proposed,
corresponding
management
put
forward.
experimental
system
this
can
provide
new
ideas
construction
patterns
other
regions
scientific
support
development
similar
areas.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7371 - 7371
Published: Aug. 27, 2024
The
Giant
Panda
National
Park
(GPNP)
and
its
surrounding
areas
constitute
a
comprehensive
ecosystem
aimed
at
protecting
the
natural
habitat
of
giant
pandas,
maintaining
biodiversity,
ensuring
ecological
balance.
Investigating
spatial
correlation
between
landscape
pattern
indices
sensitivity
(ES)
in
this
area
is
crucial
step
construction
civilization
contributes
significantly
to
conservation,
restoration,
environmental
management.
This
study
utilized
Geographic
Information
Systems
(GIS)
Fragstats
software
select
nine
evaluation
factors
four
comprehensively
evaluate
ES
patterns
GPNP
areas.
discovered
that
substantially
higher
than
neighboring
areas,
with
northern
Qionglai
Mountain
western
Minshan
showing
highest
concentrations
exceptionally
high
sensitivity.
Highly
sensitive
account
for
35.22%
region,
concentrated
within
national
park,
except
Qinling
area,
as
well
southern
distribution
moderately
more
uniform,
while
low
insensitive
are
found
primarily
eastern
along
park’s
environs.
Patch
density
(PD)
lower
PD
central
parts.
division
index
(DIVISION)
decreases
from
west
east,
disturbance
(LDI)
park
small
LDI
entire
region.
Moran’s
analysis
shows
positively
correlated
(PD,
SPLIT,
DIVISION,
LDI),
strongest
DIVISION
Spatially,
internal
have
but
sensitivity,
region
exhibits
severe
fragmentation.
Major
clusters
values
around
Qionglai-Daxiangling
indicating
these
complex
structures,
numerous
edges,
significant
impacts
on
biodiversity
processes.
Overall,
exhibit
levels
fragmentation,
emphasizing
need
focused
protection
part
QLS
MS
Additionally,
attention
should
be
given
impact
fragmentation
interior
GPNP.
These
results
provide
scientific
evidence
sustainable
development