Fire,
Год журнала:
2024,
Номер
7(11), С. 409 - 409
Опубликована: Ноя. 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.
Wildfires
represent
an
increasing
threat
to
ecosystems
and
communities,
driven
by
climate
change,
fuel
dynamics,
human
activities.
In
Ambato,
Ecuador,
a
city
in
the
Andean
highlands,
these
risks
are
exacerbated
prolonged
droughts,
vegetation
dryness,
urban
expansion
into
fire-prone
areas
within
Wildland–Urban
Interface
(WUI).
This
study
integrates
climatic,
ecological,
socio-economic
data
from
2017
2023
assess
wildfire
risks,
employing
advanced
geospatial
tools,
thematic
mapping,
machine
learning
models,
including
Multinomial
Logistic
Regression
(MLR),
Random
Forest,
XGBoost.
By
segmenting
area
1
km2
grid
cells,
microscale
risk
variations
were
captured,
enabling
classification
five
categories:
‘Very
Low’,
‘Low’,
‘Moderate’,
‘High’,
High’.
Results
indicate
that
temperature
anomalies,
reduced
moisture,
anthropogenic
factors
such
as
waste
burning
unregulated
land-use
changes
significantly
increase
fire
susceptibility.
Predictive
models
achieved
accuracies
of
76.04%
77.6%
(Random
Forest),
76.5%
(XGBoost),
effectively
identifying
high-risk
zones.
The
highest-risk
found
Izamba,
Pasa,
San
Fernando,
where
over
884.9
ha
burned
between
2023.
year
2020
recorded
most
severe
season
(1500
burned),
coinciding
with
extended
droughts
COVID-19
lockdowns.
Findings
emphasize
urgent
need
for
enhanced
regulations,
improved
firefighting
infrastructure,
community-driven
prevention
strategies.
research
provides
replicable
framework
assessment,
applicable
other
regions
beyond.
integrating
data-driven
methodologies
policy
recommendations,
this
contributes
evidence-based
mitigation
resilience
planning
climate-sensitive
environments.
Forests,
Год журнала:
2025,
Номер
16(4), С. 592 - 592
Опубликована: Март 28, 2025
At
present,
remote
sensing
serves
as
a
key
approach
to
track
ecological
recovery
after
fires.
However,
systematic
and
quantitative
research
on
the
progress
of
post-fire
remains
insufficient.
This
study
presents
first
global
bibliometric
analysis
(1994–2024),
analyzing
1155
Web
Science
publications
using
CiteSpace
reveal
critical
trends
gaps.
The
findings
include
following:
As
multi-sensor
big
data
technologies
evolve,
focus
is
increasingly
pivoting
toward
interdisciplinary,
multi-scale,
intelligent
methodologies.
Since
2020,
AI-driven
such
machine
learning
have
become
hotspots
continue
grow.
In
future,
more
extensive
time-series
monitoring,
holistic
evaluations
under
compound
disturbances,
enhanced
fire
management
strategies
will
be
required
addressing
climate
change
challenge
sustainability.
USA,
Canada,
China,
multiple
European
nations
work
jointly
ecology
technology
development,
but
Africa,
high
wildfire-incidence
area,
currently
lacks
appropriate
local
research.
Remote
environment
forests
maintain
pivotal
role
in
scholarly
impact
information
exchange.
redefines
nexus
urgency
social
justice,
demanding
inclusive
innovation
address
climate-driven
regimes.
Landscape and Urban Planning,
Год журнала:
2023,
Номер
243, С. 104977 - 104977
Опубликована: Дек. 12, 2023
The
impact
of
natural
disturbances
such
as
wildfires
on
ecosystem
services
and
local
communities
is
significant.
Conventional
assessments
wildfire
risks
often
overlook
the
potential
loss
services,
particularly
cultural
ones
(CES).
This
study
presents
a
methodology
for
integrating
CES
into
risk
assessment,
combining
expert
participatory
mapping
with
standard
procedures
based
fire
hazard
vulnerability
modelling.
We
tested
in
European
Alpine
landscape
143
km2
involving
8
municipalities
30
stakeholders.
Integrating
hotspots
changed
classification
by
at
least
two
classes
52
358
valley
subwatersheds
made
distribution
high
very
high-risk
areas
more
scattered.
demonstrates
that
including
assessment
prevention
schemes
through
process
can
encourage
stakeholder
engagement
provide
additional
information
indirect
benefits
ecosystem.
conclude
application
this
to
other
contexts
would
strongly
benefit
management
plans.
AMBIO,
Год журнала:
2024,
Номер
53(10), С. 1433 - 1453
Опубликована: Май 25, 2024
Living
with
wildfires
in
an
era
of
climate
change
requires
adaptation
and
weaving
together
many
forms
knowledge.
Empirical
evidence
knowledge
co-production
wildfire
management
is
lacking
Mediterranean
European
areas.
We
explored
how
local
ecological
can
be
leveraged
to
reduce
risk
through
pathways
process
the
Montseny
massif
wider
Tordera
River
watershed
Catalonia,
Spain:
area
stewarded
forestry
agriculture,
tourism,
nature
conservation,
fire
management.
combined
different
methods
(e.g.,
a
timeline
Three
Horizons
framework)
throughout
three
workshops
agents
co-create
risk,
integrating
historical
perspective
landscape
while
envisioning
desirable
futures.
Our
results
showed
that
other
soft
strategies
contribute
innovative
sustainable
development
initiatives
also
mitigate
risk.
The
approach
holds
much
potential
inform
policies
support
wildfire-based
community
diverse
contexts.
Abstract
Background
Wildfires
are
increasingly
impacting
ecosystems
worldwide
especially
in
temperate
dry
habitats,
often
interplaying
with
other
global
changes
(e.g.,
alien
plant
invasions).
Understanding
the
ecological
consequences
of
wildfires
is
crucial
for
effective
conservation
and
management
strategies.
The
aim
this
study
was
to
investigate
impacts
wildfire
severity
on
community
(both
canopy
trees
herbaceous
layer)
invasion,
combining
field
observations
remotely
sensed
data.
We
conducted
an
observational
Karst
forests
(North-East
Italy)
1
year
after
large
which
affected
area
2022.
assessed
impact
through
35
plots
(200
m
2
each)
distributed
among
different
fire
(i.e.,
loss
organic
matter)
classes
using
differenced
normalized
burn
ratio
(dNBR)
calculated
from
satellite
images.
In
each
plot,
tree
species,
diameter,
vitality,
resprouting
capacity,
seedling
density
were
measured.
addition,
herb
species
richness
(taxonomical
diversity)
quantified,
cover
visually
estimated.
Functional
diversity
also
considering
six
functional
traits
retrieved
databases.
Results
Some
woody
Quercus
pubescens
)
showed
a
higher
resistance
lower
mortality
rate),
while
others
resilience
recovery
or
seedlings,
e.g.,
Cotinus
coggygria
).
transition
shrub-dominated
where
highest
underlines
dynamic
nature
post-fire
succession.
detected
significant
variation
composition,
diversity,
identity
community-weighted
mean
trait)
along
gradient.
particular,
high-fire
areas
exhibited
compared
low-severity
unburned
areas.
Total
increased
severity,
native
remained
constant.
found
shifts
that
enhance
related
germination
potential
growth
strategy.
Conclusions
Our
results
highlight
vulnerability
forest
stands
increase
resulting
structure.
This
contributes
understanding
processes
novel
remote
sensing
approach
forest,
emphasizing
need
strategies
aimed
at
mitigating
high
wildfires.
