Fire,
Journal Year:
2024,
Volume and Issue:
7(9), P. 304 - 304
Published: Aug. 27, 2024
We
propose
a
novel
mono-temporal
framework
with
physical
basis
and
ecological
consistency
to
retrieve
fire
severity
at
very
high
spatial
resolution.
First,
we
sampled
the
Composite
Burn
Index
(CBI)
in
108
field
plots
that
were
subsequently
surveyed
through
unmanned
aerial
vehicle
(UAV)
flights.
Then,
mimicked
methodology
for
CBI
assessment
remote
sensing
framework.
strata
identified
individual
tree
segmentation
geographic
object-based
image
analysis
(GEOBIA).
In
each
stratum,
wildfire
effects
estimated
following
methods:
(i)
vertical
structural
complexity
of
vegetation
legacies
was
computed
from
3D-point
clouds,
as
proxy
biomass
consumption;
(ii)
biophysical
variables
retrieved
multispectral
data
by
inversion
PROSAIL
radiative
transfer
model,
direct
link
remaining
after
canopy
scorch
torch.
The
scores
predicted
UAV
ecologically
related
metrics
level
featured
fit
respect
field-measured
(R2
>
0.81
RMSE
<
0.26).
Conversely,
conventional
retrieval
using
battery
spectral
predictors
(point
height
distribution
indices)
plot
provided
much
worse
performance
=
0.677
0.349).
Fire Ecology,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: Jan. 17, 2024
Abstract
Background
Prescribed
burning
(PB)
is
becoming
relevant
in
fuel
reduction
and
thus
fire
hazard
abatement
fire-prone
ecosystems
of
southern
Europe.
Yet,
empirical
evidence
on
the
effectiveness
this
practice
to
mitigate
wildfire
severity
Mediterranean
shrublands
non-existent,
despite
being
focus
PB
efforts
region.
Here,
we
intended
quantify
protective
effect
treatment
units
(2005–2021)
subsequent
across
mainland
Portugal,
as
well
relative
contribution
complex
interactions
between
drivers
PB-treated
areas
untreated
neighboring
counterparts
through
Random
Forest
regression.
We
leveraged
cloud-computing
remote
sensing
data
processing
Google
Earth
Engine
estimate
(PB
wildfire)
Relativized
Burn
Ratio
(RBR)
using
Landsat
catalog.
Results
was
particularly
effective
at
mitigating
first
PB-wildfire
encounter
shrublands,
with
a
mean
around
24%
RBR
units.
Fuel
age
(i.e.,
time
since
prescribed
burning)
intersection
overwhelmed
large
extent
weather,
probability,
severity.
The
persisted
for
5
years.
However,
decreased
increasingly
adverse
weather
conditions,
such
that
variation
somewhat
insensitive
under
extreme
weather.
Similarly,
lowest
experienced
sites
high
along
interaction
observed
probability
age,
suggest
repeated
treatments
may
be
useful
controlling
accumulation
explaining
exceedingly
areas,
doubling
other
variables
model
absence
variables.
Conclusions
Our
results
implementation
intervals
less
than
years
paramount
importance
control
build-up
productive
shrublands.
Further
research
topic
warranted
worldwide,
namely
Mediterranean-type
climate
regions.
Fire Ecology,
Journal Year:
2023,
Volume and Issue:
19(1)
Published: Nov. 7, 2023
Abstract
Background
Climate
change
is
altering
the
fire
regime
and
compromising
post-fire
recovery
of
vegetation
worldwide.
To
understand
factors
influencing
cover
restoration,
we
calculated
in
200,000
hectares
western
Mediterranean
forest
burned
by
268
wildfires
over
a
27-year
period
(1988–2015).
We
used
time
series
Tasseled
Cap
Transformation
Brightness
(TCTB)
spectral
transformation
Landsat
imagery
to
calculate
recovery.
Then,
quantified
importance
main
drivers
(climate,
severity,
topography)
along
an
aridity
gradient
(semi-arid,
sub-humid,
humid)
using
Random
Forest
models.
Results
In
most
models
(99.7%),
drought
duration
was
important
factor,
negatively
affecting
especially
extremes
gradient.
Fire
severity
second
factor
for
recovery,
with
its
effect
varying
gradient:
there
positive
relationship
between
sub-humid
humid
areas,
while
semi-arid
areas
showed
opposite
pattern.
Topographic
variables
were
least
driver
had
marginal
on
Additionally,
exhibited
low
mean
rate,
indicating
limitations
short-term
after
fire.
Conclusions
Our
study
highlights
key
role
that
plays
basin
and,
particularly,
forests
located
climatically
extreme
areas.
The
results
suggest
predicted
increase
coupled
higher
frequency
intensity
large
fires
may
modify
structure
composition
ecosystems.
analysis
provides
relevant
information
evaluate
design
adaptive
management
strategies
hotspots
Agricultural and Forest Meteorology,
Journal Year:
2023,
Volume and Issue:
342, P. 109731 - 109731
Published: Oct. 3, 2023
Wildfires
represent
one
of
the
primary
disturbance
agents
in
Mediterranean,
significantly
affecting
ecological
integrity
forests.
Therefore,
understanding
spatial
patterns
post-fire
vegetation
recovery
is
crucial
to
improving
forest
restoration
planning
and
assessing
regeneration
capacity
different
stands
that
have
been
impacted
by
wildfires.
In
this
study,
we
analysed
rates
within
context
fire
severity,
pre-fire
vegetation,
climate
conditions,
for
Mediterranean
classes,
namely,
pine,
holm,
deciduous
oak
forests,
sclerophyllous
thermophilous
shrublands.
Basilicata,
Italy,
was
chosen
as
a
study
area,
it
represents
wide
range
The
Relative
Recovery
Indicator
(RRI)
derived
from
Normalized
Burn
Ratio
(NBR)
extracted
30-meter
Landsat
time
series
wildfires
occurred
during
2004–2016
Google
Earth
Engine
(GEE)
environment.
A
Linear
Mixed
Model
(LMM)
used
test
effect
variables
on
RRI.
Results
showed
general
decrease
rate
five-years
each
cover
class,
which
mainly
related
pre-
conditions.
Pre-fire
conditions
influenced
recovery,
especially
Post-fire
(e.g.,
temperature)
were
also
important
predictors
explaining
variation
RRI
patterns.
proposed
method
could
provide
new
insights
into
management
ecosystems
Mediterranean.
BIO Web of Conferences,
Journal Year:
2025,
Volume and Issue:
155, P. 07001 - 07001
Published: Jan. 1, 2025
Changes
in
the
growing
environment
(habitat),
including
habitat
of
wild
nutmeg
(
Myristica
spp.
)
due
to
deforestation,
land
degradation
mining,
erosion
soil
fertility,
reduced
density
flora,
fauna,
and
microorganisms
can
increase
risk
climate
change.
The
role
plant
is
that
its
canopy
absorb
CO
2
from
air,
roots
effectively
store
water
prevent
so
it
mitigate
Vegetation
analysis
used
as
an
approach
change
mitigation
through
managing
biodiversity
a
single
function
Halmahera
forest
against
impacts
results
vegetation
studies
on
natural
have
shown
composition
structure
been
disturbed
although
still
moderate
category.
spp.)
forest,
North
Maluku
with
abundant
diversity
high
species
richness
play
mitigating
long
this
area
maintained
stable.
Further
based
research
provide
deeper
insight
into
conservation
strategies
their
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 448 - 448
Published: Feb. 21, 2025
Large
wildfires
have
increased
in
the
Mediterranean
region
due
to
socio-economic
and
land-use
changes.
The
most
immediate
concerning
consequence
of
is
loss
vegetation.
However,
there
are
few
studies
on
relationship
between
wildfire
vegetation
recovery,
especially
complex
species
composition,
burn
severity
geo-environmental
context.
This
study
focuses
analysis
post-fire
regrowth
(RV)
forests.
Therefore,
two
objectives
were
set:
(i)
analyse
influence
pre-fire
conditions,
topographic
variables
growth
rates
for
each
stage
recovery
(ii)
identify
drivers
recovery.
results
show
that
NDVI
increases
rapidly
first
years
after
more
slowly
following
years.
Except
year,
RV
shows
a
positive
with
severity.
In
importance
topographical
features,
curvature
flow
accumulation,
stands
out.
fourth
when
values
highest,
mainly
explained
by
presence
vegetation,
followed
altitude.
These
can
be
an
important
step
towards
effective
local
management
strategies
leading
resilient
sustainable
territory.
Fire,
Journal Year:
2025,
Volume and Issue:
8(5), P. 163 - 163
Published: April 22, 2025
Wildfires
in
the
Mediterranean
basin,
particularly
Portugal,
pose
significant
ecological
challenges
by
altering
landscapes
and
ecosystems.
This
study
examines
vegetation
recovery
Serra
do
Açor
seven
years
after
2017
wildfires,
using
remote
sensing
field
data
to
analyze
post-fire
dynamics.
The
primary
goal
was
assess
whether
fire
severity,
measured
via
dNBR
index
from
Sentinel-2
imagery,
impacts
or
if
site-specific
factors
pre-fire
floristic
composition
are
more
influential.
Randomly
assigned
plots
based
on
previous
land
use
severity
were
analyzed
for
attributes.
To
quantify
classify
cover
changes,
a
supervised
classification
methodology
random
forest
algorithm
applied
data.
results
showed
no
clear
link
between
recovery;
instead,
local
like
soil
topography,
along
with
dominant
species,
influenced
recovery.
Acacia
eucalyptus
communities
grew
faster
increased
occupied
area
but
exhibited
lower
diversity
than
native
communities.
Supervised
classifications
achieved
high
accuracy
(Kappa
>
0.90),
showing
shrubland
areas
expansion
of
acacia.
highlights
methodology’s
effectiveness
potential
broader
applications
future
research.
Fire,
Journal Year:
2024,
Volume and Issue:
7(4), P. 125 - 125
Published: April 8, 2024
We
investigated
the
influence
of
fire
severity,
logging
burnt
wood,
local
ecological
factors
and
their
interaction
on
natural
regeneration,
survival
growth
maritime
pine
(Pinus
pinaster
Ait.),
following
a
that
took
place
in
2005.
During
period
2006–2020,
sample
1900
seedlings
were
monitored,
which
three
post-fire
treatments
applied:
(1)
Early
(before
seedling
emergence);
(2)
Delayed
(after
(3)
No
management.
Multivariate
semi-parametric
non-parametric
techniques
used
to
model
survival,
estimated
density
regeneration.
Seedling
was
31%
with
mean
more
than
2000
seedlings/ha
at
end
study
period.
Logging
before
emergence
positively
related
density.
resulted
lowest
Fire
severity
had
negative
regeneration
The
findings
indicate
site
conditions
have
stronger
subsequent
management
treatments.
In
order
ensure
presence
pure
or
mixed
stands,
silvicultural
work
is
required
control
competition
from
other
species
reduce
risk
new
wildfires.
Fire Ecology,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: June 13, 2024
Abstract
Background
Climate
change
has
increased
wildfire
activity
in
the
western
USA
and
limited
capacity
for
forests
to
recover
post-fire,
especially
areas
burned
at
high
severity.
Land
managers
urgently
need
a
better
understanding
of
spatiotemporal
variability
natural
post-fire
forest
recovery
plan
implement
active
projects.
In
areas,
“spectral
recovery”,
determined
by
examining
trajectory
multispectral
indices
(e.g.,
normalized
burn
ratio)
over
time,
generally
corresponds
with
multiple
vegetation
types,
including
trees
shrubs.
Field
data
are
essential
deciphering
types
reflected
spectral
recovery,
yet
few
studies
validate
metrics
field
or
incorporate
into
spatial
models
recovery.
We
investigated
relationships
between
measurements
(16
27
years
post-fire)
from
99
plots
mixed
conifer
Blue
Mountains,
USA.
Additionally,
using
generalized
linear
effects
models,
we
assessed
relative
capacities
multispectral,
climatic,
topographic
predict
Results
found
that
fast
did
not
necessarily
coincide
density
regenerating
seedlings,
saplings,
young
%
juvenile
cover).
Instead,
often
coincided
increases
shrub
cover.
primarily
attributed
this
relationship
response
snowbrush
ceanothus,
an
evergreen
vigorously
resprouts
post-fire.
However,
non-trailing
edge
forests—where
it
was
cooler
wetter
fast-growing
conifers
were
more
common—rapid
both
cover
Otherwise,
showed
potential
identify
transitions
grasslands,
as
grass-dominated
sites
showcased
distinctly
slow
trajectories.
Lastly,
best
predicted
when
climate
predictive
models.
Conclusions
Despite
disconnect
our
results
suggest
improved
predicting
likelihood
Improving
would
aid
land
identifying
reforestation
Graphical
Photo
credit:
J.
Celebrezze