Impacts of tourism on LULC and LST dynamics in district Buner and Shangla, Pakistan
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 18, 2025
Tourism
activities
are
changing
the
global
landscape
pattern.
This
study
attempted
to
estimate
changes
in
Land
Use
Cover
(LULC)
and
Surface
Temperature
(LST)
District
Buner
Shangla,
Khyber
Pakhtunkhwa
(KPK),
Pakistan,
specifically
its
tourist
spots.
Using
remote
sensing
data
from
satellites
(1990–2020)
future
projections
(2035–2050),
we
applied
Artificial
Neural
Network
(ANN)
Cellular
Automata
Markov
(CA-Markov)
models
examine
past
LULC
LST
dynamics
across
two
districts
including
four
major
spots
(Shangla
Top
as
spot
one
(TS1),
Bar
Puran
(TS2),
Shahida
Sar
(TS3),
Daggar
(TS4).
The
classification
for
whole
area
indicates
that
built-up
agricultural
areas
increased
with
a
net
change
of
+0.8%
+3.2%
Shangla
districts,
respectively.
highest
mean
was
found
areas.
simulation
results
indicate
an
expansion
4.5%
5.8%
total
areas,
above
31
°C
will
cover
76%
88%
2035
2050,
conversion
is
driven
by
tourism
activities,
causing
urban
heat
island
effects
(UHIs),
environmental
degradation.
analysis
shows
at
while
(28
°C)
(2035–2050)
show
TS4
would
have
(5.67%),
(31
65.23
82.20%.
These
findings
provide
essential
understandings
developing
long-term
policies
meant
moderate
impact
region.
Language: Английский
Assessing Ecosystem Service Value Dynamics in Japan’s National Park Based on Land-Use and Land-Cover Changes from a Tourism Promotion Perspective
Huixin Wang,
No information about this author
Y. L. Xie,
No information about this author
Duy Thong Ta
No information about this author
et al.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 554 - 554
Published: March 6, 2025
Understanding
the
changes
in
land
use
and
cover
(LULC)
national
parks
their
corresponding
ecosystem
service
value
(ESV)
shifts
is
crucial
for
shaping
future
management
policies
directions.
However,
comprehensive
analyses
this
research
area
that
integrate
tourism
development
perspectives
are
lacking.
Therefore,
interdisciplinary
study
considers
Akan-Mashu
National
Park
Japan
as
a
case
study.
Using
remote
sensing
data,
LULC
maps
past
10
years
were
generated
using
Google
Earth
Engine.
The
benefit
transfer
method
was
employed
to
calculate
ESV
each
year,
followed
by
qualitative
analysis
of
local
policy
documents
explore
how
park
has
changed
context
promoting
development.
results
showed
have
been
relatively
stable
over
decade,
with
most
noticeable
occurring
built-up
areas.
also
confirm
not
had
significant
negative
impact
on
Park.
recommendations
proposed
can
be
applied
other
similar
or
protected
areas
worldwide
achieve
dynamic
balance
between
environmental
protection
Language: Английский