Fire,
Journal Year:
2024,
Volume and Issue:
7(11), P. 409 - 409
Published: Nov. 8, 2024
This
study
investigates
the
role
of
prescribed
grazing
as
a
sustainable
fire
prevention
strategy
in
Mediterranean
ecosystems,
with
focus
on
Sardinia,
an
area
highly
susceptible
to
wildfires.
Using
FlamMap
simulation
software,
we
modeled
behavior
across
various
and
environmental
conditions
assess
impact
severity
indicators
such
flame
length,
rate
spread,
fireline
intensity.
Results
demonstrate
that
can
reduce
by
decreasing
combustible
biomass,
achieving
reductions
25.9%
extent
wet
years,
60.9%
median
45.8%
dry
years.
Grazed
areas
exhibited
significantly
lower
intensity,
particularly
under
high
canopy
cover.
These
findings
support
integration
into
management
policies,
highlighting
its
efficacy
nature-based
solution.
However,
study’s
scope
is
limited
small
biomass
fuels
(1-h
fuels);
future
research
should
extend
larger
fuel
classes
enhance
generalizability
mitigation
tool.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(14), P. 6635 - 6635
Published: July 24, 2023
Nowadays,
the
challenges
related
to
technological
and
environmental
development
are
becoming
increasingly
complex.
Among
environmentally
significant
issues,
wildfires
pose
a
serious
threat
global
ecosystem.
The
damages
inflicted
upon
forests
manifold,
leading
not
only
destruction
of
terrestrial
ecosystems
but
also
climate
changes.
Consequently,
reducing
their
impact
on
both
people
nature
requires
adoption
effective
approaches
for
prevention,
early
warning,
well-coordinated
interventions.
This
document
presents
an
analysis
evolution
various
technologies
used
in
detection,
monitoring,
prevention
forest
fires
from
past
years
present.
It
highlights
strengths,
limitations,
future
developments
this
field.
Forest
have
emerged
as
critical
concern
due
devastating
effects
potential
repercussions
climate.
Understanding
technology
addressing
issue
is
essential
formulate
more
strategies
mitigating
preventing
wildfires.
Environmental Technology & Innovation,
Journal Year:
2024,
Volume and Issue:
35, P. 103655 - 103655
Published: May 5, 2024
Forest
fires
pose
a
significant
threat
to
ecosystems
and
socio-economic
activities,
necessitating
the
development
of
accurate
predictive
models
for
effective
management
mitigation.
In
this
study,
we
present
novel
machine
learning
approach
combined
with
Explainable
Artificial
Intelligence
(XAI)
techniques
predict
forest
fire
susceptibility
in
Nainital
district.
Our
innovative
methodology
integrates
several
robust
—
AdaBoost,
Gradient
Boosting
Machine
(GBM),
XGBoost
Random
Deep
Neural
Network
(DNN)
as
meta-model
stacking
framework.
This
not
only
utilises
individual
strengths
these
models,
but
also
improves
overall
prediction
performance
reliability.
By
using
XAI
techniques,
particular
SHAP
(SHapley
Additive
exPlanations)
LIME
(Local
Interpretable
Model-agnostic
Explanations),
improve
interpretability
provide
insights
into
decision-making
processes.
results
show
effectiveness
ensemble
model
categorising
different
zones:
very
low,
moderate,
high
high.
particular,
identified
extensive
areas
susceptibility,
precision,
recall
F1
values
underpinning
their
effectiveness.
These
achieved
ROC
AUC
above
0.90,
performing
exceptionally
well
an
0.94.
The
are
remarkably
inclusion
confidence
intervals
most
important
metrics
all
emphasises
robustness
reliability
supports
practical
use
management.
Through
summary
plots,
analyze
global
variable
importance,
revealing
annual
rainfall
Evapotranspiration
(ET)
key
factors
influencing
susceptibility.
Local
analysis
consistently
highlights
importance
rainfall,
ET,
distance
from
roads
across
models.
study
fills
research
gap
by
providing
comprehensive
interpretable
modelling
that
our
ability
effectively
manage
risk
is
consistent
environmental
protection
sustainable
goals.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(5), P. 830 - 830
Published: Feb. 27, 2025
This
study
explores
the
application
of
remote
sensing-based
land
cover
change
detection
techniques
to
identify
and
map
areas
affected
by
three
distinct
wildfire
events
that
occurred
in
Mediterranean
islands
between
2019
2022,
namely
Sardinia
(2019,
Italy),
Thassos
(2022,
Greece),
Pantelleria
Italy).
Applying
Rao’s
Q
Index-based
approach
Sentinel-2
spectral
data
derived
indices,
we
evaluate
their
effectiveness
accuracy
identifying
mapping
burned
wildfires.
Our
methodological
implies
processing
analysis
pre-
post-fire
imagery
extract
relevant
indices
such
as
Normalized
Burn
Ratio
(NBR),
Mid-infrared
Index
(MIRBI),
Difference
Vegetation
(NDVI),
Burned
area
for
(BAIS2)
then
use
(the
classic
approach)
or
combine
them
(multidimensional
detect
using
a
technique.
The
Copernicus
Emergency
Management
System
(CEMS)
were
used
assess
validate
all
results.
lowest
overall
(OA)
classical
mode
was
52%,
BAIS2
index,
while
multidimensional
mode,
it
73%,
combining
NBR
NDVI.
highest
result
reached
72%
with
MIRBI
96%,
NBR.
combination
consistently
achieved
across
areas,
demonstrating
its
improving
classification
regardless
characteristics.
Disasters,
Journal Year:
2025,
Volume and Issue:
49(2)
Published: March 4, 2025
This
paper
studies
how
the
relations
between
nature
and
society
are
constructed
in
disaster
governance
frameworks.
Dominant
frameworks
present
as
separate
realms,
organisation
of
is
increasingly
seen
key
cause
hazards
disasters.
Disaster
impacts
similarly
framed
around
adverse
societal
consequences,
while
other-than-human
merely
background
across
which
disasters
unfold,
property
lost,
or
a
means
governance.
Although
centrality
human
troubled
when
biodiversity
flagship
species
threatened,
neither
situation
challenges
nature-society
dualism
embedded
dominant
The
attention
resources
target
side
dualism.
study
finds,
though,
that
peripheries
characterised
by
remoteness
from
centres
power,
sparse
population,
large
spaces
nature,
vulnerabilities
facing
humans
risk
being
ungoverned.
Abstract
Altered
fire
regimes
are
a
global
challenge,
increasingly
exacerbated
by
climate
change,
which
modifies
weather
and
prolongs
seasons.
These
changing
conditions
heighten
the
vulnerability
of
ecosystems
human
populations
to
impacts
wildfires
on
environment,
society,
economy.
The
rapid
pace
these
changes
exposes
significant
gaps
in
knowledge,
tools,
technology,
governance
structures
needed
adopt
informed,
holistic
approaches
management
that
address
both
current
future
challenges.
Integrated
Fire
Management
is
an
approach
combines
prevention,
response,
recovery
while
integrating
ecological,
socio-economic,
cultural
factors
into
strategies.
However,
remains
highly
context-dependent,
encompassing
wide
array
practices
with
varying
degrees
ecological
societal
integration.
This
review
explores
as
adaptation
mitigation
strategy
for
altered
regimes.
It
provides
overview
progress
challenges
associated
implementing
across
different
regions
worldwide.
also
proposes
five
core
objectives
outlines
roadmap
incremental
steps
advancing
adapt
ongoing
regimes,
thereby
maximizing
its
potential
benefit
people
nature.
The Science of The Total Environment,
Journal Year:
2023,
Volume and Issue:
890, P. 164281 - 164281
Published: May 20, 2023
Wildfire
regimes
affected
by
global
change
have
been
the
cause
of
major
concern
in
recent
years.
Both
direct
prevention
(e.g.,
fuel
management
planning)
and
land
governance
strategies
agroforestry
development)
can
an
indirect
regulatory
effect
on
wildfires.
Herein,
we
tested
hypothesis
that
active
planning
Italy
mitigated
wildfire
impacts
terms
loss
ecosystem
services
forest
cover,
burned
wildland-urban
interface,
from
2007
to
2017.
At
national
scale,
assessed
size
potential
fire
drivers
such
as
climate,
weather,
flammability,
socio-economic
descriptors,
use
changes,
proxies
for
European
funds
rural
development,
investments
sustainable
management,
agro-pastoral
activities),
including
interactions,
fire-related
via
Random
Forest
modelling
Generalized
Additive
Mixed
Model.
Agro-forest
districts
(i.e.,
aggregations
neighbouring
municipalities
with
homogeneous
agricultural
characteristics)
were
used
spatial
units
analysis.
Our
results
confirm
territories
more
show
lower
impacts,
even
under
severe
flammability
climatic
conditions.
This
study
supports
current
regional,
national,
towards
"fire
resistant
resilient
landscapes"
fostering
agro-forestry,
nature
conservation
integrated
policies.