Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 9, 2025
Cities
are
recognized
as
significant
contributors
to
carbon
emissions
due
their
numerous
productive
enterprises
and
dense
populations.
Tackling
climate
change
achieving
the
transformation
low-carbon
cities
requires
public
participation.
News
media
serve
primary
channel
for
gain
relevant
information,
journalists’
attitudes
significantly
influence
content
of
related
news
reports.
This
study
focuses
on
Chinese
journalists
towards
transition
cities,
using
semi-structured
interviews
in
qualitative
research
conduct
31
with
participants
from
mainstream
medias.
discussed
city
transition,
based
our
samples
studies,
we
find
that
(1)
development
brings
some
new
opportunities
economic
improving
overall
urban
living
environment,
despite
challenges
like
lack
professional
knowledge
information
gaps.
(2)
Newsworthiness,
audience
preferences,
scientific
knowledge,
management
mechanisms,
key
factors
influencing
choice
cover
topics.
Despite
an
increase
reports,
many
do
not
prioritize
or
transitions
core
topics,
environmental
have
a
life
cycle.
(3)
We
suggests
enhance
collaboration
stakeholders,
interaction
learn
diverse
voices,
storytelling
integrating
technological
innovations
improve
communication.
highlights
complex
interactions
between
media,
participation,
policies,
offering
holistic
view
promoting
more
inclusive
equitable
transition.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
80, P. 102519 - 102519
Published: Feb. 15, 2024
The
extraction
of
ecological
corridors
is
influenced
by
the
accuracy
source
area
identification,
which
a
crucial
component
security
construction.
areas
Weihe
River
Basin
(WRB)
were
comprehensively
identified
analyzing
supply,
demand,
and
sensitivity
ecosystem
services.
Different
initial
populations
set
using
genetic
algorithm
to
determine
optimal
for
WRB.
minimum
cumulative
resistance
model
(MCR)
was
used
extract
corridors,
then
comparison
made
before
after.
results
showed
that
within
WRB
covered
approximately
43.362
×
103
km2
in
2020,
accounting
32.38%
entire
area.
This
included
mainly
forest,
grassland,
small
amount
farmland,
89.3%
forest.
Fifty
obtained
algorithm,
generating
122
with
an
overall
length
40.245
105
km
could
disperse
By
comparing
after
optimization,
IIC
value
optimization
0.006,
PC
0.007,
FN
0.10.
IIC,
PC,
values
optimized
0.08,
0.079,
0.042,
respectively.
connectivity
increased
13.3
times,
possible
increase
11.2
times
42%
reduction
fragmentation.
applicability
reliability
identifying
high,
offering
reliable
idea
constructing
regional
security.
Regional Environmental Change,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: Feb. 14, 2024
Abstract
This
paper
explores
community
perspectives
on
forest
landscape
restoration
(FLR)
initiatives
and
their
impacts
ecosystems,
livelihoods
social
cohesion.
The
study
is
based
data
collected
from
08
focus
group
discussions
(FGDs)
conducted
in
local
communities
involved
FLR
activities.
A
coding
process
was
used
to
identify
key
themes
patterns
that
shed
light
the
of
FLR.
results
show
have
led
cohesion
conflict
resolution,
including
establishment
community-based
organizations
(CBOs),
involvement
volunteers
various
tasks,
a
cooperative/collaborative
approach
management,
empowerment
communities.
In
addition,
showed
FLRs
successfully
regenerated
restored
ecosystem,
biodiversity,
plant
diversity,
improvement
animal
populations
livestock
health,
soil
water
quality.
Ecosystem
has
improved
livelihoods,
increased
crop
productivity,
access
education,
affordable
health
care,
economic
conditions,
food
security.
Based
findings,
policy
recommendations
include
strengthening
support
for
initiatives,
promoting
stakeholder
collaboration,
equity.
Symmetry,
Journal Year:
2023,
Volume and Issue:
15(9), P. 1679 - 1679
Published: Aug. 31, 2023
Data
mining
is
an
analytical
approach
that
contributes
to
achieving
a
solution
many
problems
by
extracting
previously
unknown,
fascinating,
nontrivial,
and
potentially
valuable
information
from
massive
datasets.
Clustering
in
data
used
for
splitting
or
segmenting
items/points
into
meaningful
groups
clusters
grouping
the
items
are
near
each
other
based
on
certain
statistics.
This
paper
covers
various
elements
of
clustering,
such
as
algorithmic
methodologies,
applications,
clustering
assessment
measurement,
researcher-proposed
enhancements
with
their
impact
thorough
grasp
algorithms,
its
advances
achieved
existing
literature.
study
includes
literature
search
papers
published
between
1995
2023,
including
conference
journal
publications.
The
begins
outlining
fundamental
techniques
along
algorithm
improvements
emphasizing
advantages
limitations
comparison
algorithms.
It
investigates
evolution
measures
algorithms
emphasis
metrics
gauge
quality,
F-measure
Rand
Index.
variety
clustering-related
topics,
approaches,
practical
evaluation,
improvements.
addresses
numerous
methodologies
offered
increase
convergence
speed,
resilience,
accuracy
initialization
procedures,
distance
measures,
optimization
strategies.
work
concludes
active
research
area
driven
need
identify
significant
patterns
structures
data,
enhance
knowledge
acquisition,
improve
decision
making
across
different
domains.
aims
contribute
broader
base
practitioners
researchers,
facilitating
informed
fostering
advancements
field
through
analysis
enhancements,
metrics,
Journal of King Saud University - Science,
Journal Year:
2024,
Volume and Issue:
36(7), P. 103262 - 103262
Published: May 17, 2024
The
diverse
landscape
of
global
land
use
and
cover
(LULC)
change
studies
were
evaluated
to
uncover
the
current
advances
in
data
future
research
potential
through
bibliometrics
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
(PRISMA)
approach.
A
total
2710
published
articles
with
search
phrase
"Land
Land
change"
OR
"Land-use
use/Land
changes"
retrieved
using
Scopus,
Web
Science
(WOS),
ScienceDirect
databases
from
1993
2022.
findings
indicated
a
24.37%
annual
growth
rate
LULC
studies,
reflecting
rapid
overall
increase
articles.
China
USA
emerged
as
most
influential
countries
regarding
article
numbers,
citations,
single-country
publications.
Ethiopia,
Ghana,
South
Africa,
among
top
20
rankings
underscore
importance
this
research.
However,
disparity
output
between
multiple-country
publications
dominant
trend
highlights
geographical
bias
particularly
Global
South.
This
finding
underscores
need
more
balanced
approach
can
stimulate
further
investigation.
results
also
revealed
that
remote
sensing,
rapidly
growing
field
utilising
advanced
computing
techniques,
is
prevalent
keyword
has
significant
applications
reducing
degradation.
These
significantly
enhance
research,
climate
policy
programs,
management,
forest
ecology
planning,
which
are
crucial
face
demand
agriculture
habitable
land.
Journal of Economy and Technology,
Journal Year:
2024,
Volume and Issue:
2, P. 138 - 154
Published: April 25, 2024
The
goal
of
the
research
project
is
to
look
at
influence
economy,
technology,
and
renewable
energy
on
China's
ecological
damage.
A
number
methods,
such
as
ARDL
bound
test
for
cointegration,
DOLS,
FMOLS,
CCR,
were
utilized
how
explanatory
variables
changed
that
affected
dependent
variable.
DOLS
estimate
results
show
a
significant
positive
extended
connection
between
economic
growth
CO2
generations.
1%
increase
in
expansion
0.51%
rise
emissions.
use
has
strong
destructive
association
with
emissions
carbon
dioxide
are
expected
decline
by
0.03%
over
long
run
every
upsurge
green
use.
Moreover,
technological
innovation
substantial
adverse
long-term
effect,
resulting
0.08%
decrease
reliability
findings
confirmed
using
several
estimators,
FMOLS
CCR.
paired
Granger
causality
was
used
determine
causal
link
among
various
factors.
study
recommends
implementing
regulatory
measures
support
carbon-free
boosting
consumption
clean
energy,
investing
developments
lower
achieve
neutrality
China.
Climate and Development,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 15
Published: Jan. 1, 2025
Given
the
importance
of
understanding
resilience
rural
households
to
shocks
and
poverty
in
developing
countries,
we
consider
as
a
capacity
estimate
(latent)
variable
reflecting
household's
capacity,
investigate
how
better
can
help
mitigate
negative
impacts
improve
their
welfare.
We
use
panel
data
3367
from
two
emerging
economies
Southeast
Asia
collected
three
survey
waves
for
empirical
analyses.
generalized
structural
equation
model
latent
capacity.
Then,
results
fixed-effects
estimations
show
that
lagged
is
significantly
negatively
correlated
with
losses
caused
by
different
types
shocks.
Moreover,
control
function
approach
indicate
an
improvement
prevent
falling
into
absolute
multidimensional
terms.