Ecosphere,
Journal Year:
2024,
Volume and Issue:
15(12)
Published: Dec. 1, 2024
Abstract
Interruption
of
frequent
burning
in
dry
forests
across
western
North
America
and
the
continued
impacts
anthropogenic
climate
change
have
resulted
increases
fire
size
severity
compared
to
historical
regimes.
Recent
legislation,
funding,
planning
emphasized
increased
implementation
mechanical
thinning
prescribed
treatments
decrease
risk
undesirable
ecological
social
outcomes
due
fire.
As
wildfires
continue
interact,
managers
require
consistent
approaches
evaluate
treatment
effectiveness
at
moderating
burn
severity.
In
this
study,
we
present
a
repeatable,
remote
sensing–based,
analytical
framework
for
conducting
fire‐scale
assessments
that
informs
local
management
while
also
supporting
cross‐fire
comparisons.
We
demonstrate
on
2021
Bootleg
Fire
Oregon
Schneider
Springs
Washington.
Our
used
(1)
machine
learning
identify
key
bioclimatic,
topographic,
weather
drivers
each
fire,
(2)
standardized
workflows
statistically
sample
untreated
control
units,
(3)
spatial
regression
modeling
effects
type
time
since
The
application
our
showed
that,
both
fires,
recent
were
most
effective
reducing
relative
controls.
contrast,
thinning‐only
only
produced
low/moderate‐severity
under
more
moderate
conditions
Fire.
offers
robust
approach
evaluating
scale
individual
which
can
be
scaled
up
assess
multiple
fires.
brings
uncertainty
forest
ecosystems
America,
support
strategic
actions
reduce
wildfire
foster
resilience.
Ecology Letters,
Journal Year:
2023,
Volume and Issue:
26(10), P. 1687 - 1699
Published: June 21, 2023
Increasing
wildfire
activity
in
forests
worldwide
has
driven
urgency
understanding
current
and
future
fire
regimes.
Spatial
patterns
of
area
burned
at
high
severity
strongly
shape
forest
resilience
constitute
a
key
dimension
regimes,
yet
remain
difficult
to
predict.
To
characterize
the
range
burn
expected
within
contemporary
we
quantified
scaling
relationships
relating
size
severity.
Using
1615
fires
occurring
across
Northwest
United
States
between
1985
2020,
evaluated
regimes
tested
whether
vary
space
time.
Patterns
high-severity
demonstrate
consistent
behaviour;
as
increases,
patches
consistently
increase
homogeneity.
Scaling
did
not
differ
substantially
or
time
scales
considered
here,
suggesting
that
fire-size
distributions
potentially
shift,
stationarity
patch-size
can
be
used
infer
International Journal of Wildland Fire,
Journal Year:
2025,
Volume and Issue:
34(3)
Published: March 18, 2025
Background
Pyrogenic
organic
matter
(PyOM)
represents
a
relatively
persistent
component
of
soil
carbon
stocks.
Although
subsequent
fires
have
the
potential
to
combust
or
alter
preexisting
PyOM
stocks,
simulating
heating
faces
important
methodological
constraints.
In
particular,
methods
for
estimating
effects
fire
on
in
limitations.
Aims
We
aimed
design
laboratory
method
effectively
simulate
from
above,
investigate
impacts
at
different
depths
while
addressing
key
limitations
previous
methods.
Methods
Jack
pine
(Pinus
banksiana
Lamb.)
log
burns
were
used
parameterise
realistic
heat
flux
profiles.
Using
cone
calorimeter,
these
profiles
applied
buried
jack
variable
reburn
intensities.
Key
results
general,
higher
fluxes
and
shallower
led
more
mass
loss
PyOM.
Conclusions
offer
specific
Conditions
that
result
temperatures
(higher
depths)
are
likely
lead
fires.
Implications
The
could
scenarios
represent
spatial
variability
within
given
event,
study
types
biomass,
organisms
such
as
microbes.
Nature Geoscience,
Journal Year:
2024,
Volume and Issue:
17(11), P. 1115 - 1120
Published: Nov. 1, 2024
Abstract
Wildfire
activity
and
the
hydrological
cycle
are
strongly
interlinked.
While
it
is
well
known
that
wildfire
occurrence
intensity
controlled
by
water
availability,
less
about
effects
of
on
plant
soil
cycling,
especially
at
large
scales.
Here
we
investigate
this
analysing
fire
impacts
coupling
between
content,
global
scale,
using
remote
sensing
moisture,
vegetation
content
burned
area.
We
find
a
strong
effect
plant–soil
relations,
accelerating
moisture
loss
17%
leading
to
faster
gains
in
62%,
both
which
positively
related
severity
largest
forests.
This
spatially
extensive,
with
accelerated
found
67%,
increased
gain
67%
all
analysed
areas.
After
fire,
plants
also
tended
have
control
their
(that
is,
were
more
anisohydric).
In
summary,
changes
ecosystem
functioning
increasing
losses
shifting
relationship
budgets.
With
climate
change,
likely
play
an
increasingly
important
role
cycling
subsequent
recovery.
Fire Ecology,
Journal Year:
2023,
Volume and Issue:
19(1)
Published: Dec. 12, 2023
Abstract
Background
Fire-vegetation
feedbacks
can
modulate
the
global
change
effects
conducive
to
extreme
fire
behavior
and
high
severity
of
subsequent
wildfires
in
reburn
areas
by
altering
composition,
flammability
traits,
spatial
arrangement
fuels.
Repeated,
high-severity
at
short
return
intervals
may
trigger
long-term
vegetation
state
transitions.
However,
empirical
evidence
about
these
is
absent
fire-prone
ecosystems
western
Mediterranean
Basin,
where
response
activity
has
been
enhanced
contemporary
socioeconomic
land-use
changes.
Here,
we
evaluated
whether
differs
between
initial
burns
(fire-free
periods
=
10–15
years)
maritime
pine
Aleppo
forests,
holm
oak
woodlands,
shrublands
there
a
relationship
such
interactive
wildfire
disturbances.
We
also
tested
how
type
ecosystem
changes
structure
after
influence
relationships.
leveraged
Landsat-based
estimates
for
last
using
Relativized
Burn
Ratio
(RBR)
Light
Detection
Ranging
(LiDAR)
data
acquired
before
wildfire.
Results
Fire
was
significantly
higher
than
that
each
dominant
areas.
These
differences
were
very
pronounced
forests
shrublands.
For
consistency,
same
patterns
evidenced
first-entry
type.
woodlands
(particularly
pine-dominated)
raised
with
increasing
previous
greater
extent
Pre-fire
fuel
density
lower
strata
(up
4
m
as
well
shrublands,
up
2
forests)
Conclusions
Our
results
suggest
land
managers
should
promote
more
fire-resistant
landscapes
minimizing
build-up
thus
hazard
through
pre-fire
reduction
treatments
prescribed
burning.
Ecosphere,
Journal Year:
2024,
Volume and Issue:
15(6)
Published: June 1, 2024
Abstract
As
wildfire
activity
increases
and
fire‐size
distributions
potentially
shift
in
many
forested
regions
worldwide,
anticipating
the
spatial
patterns
of
burn
severity
expected
with
future
fire
is
critical
for
ecological
understanding
informing
management
policy.
Because
are
influenced
by
a
complex
mixture
drivers,
they
remain
difficult
to
predict
any
given
burned
landscape.
At
broader
extents,
however,
scaling
relationships
relating
high‐severity
patch
size
shape
overall
size,
when
combined
scenarios
regarding
regional
area
distributions,
offer
means
anticipate
configuration
fires.
Here,
leveraging
satellite
burn‐severity
dataset
1615
events
occurring
across
northwest
United
States
between
1985
2020,
we
present
an
approach
simulating
patch‐level
at
scale
region
or
regime
interest.
We
demonstrate
this
historically
climate‐limited
within
Pacific
Northwest,
USA,
where
relatively
infrequent
but
large
severe
fires
biomass‐rich
forests,
potential
projected
increase
as
summer
seasons
become
warmer
drier.
quantify
how,
total
area,
range
cumulative
vary
events.
Our
results
illustrate
how
shifts
toward
larger
will
lead
increasingly
patches
interior
areas
that
far
from
unburned
seed
sources
following
fire.
In
contrast,
same
more
numerous
smaller
result
qualitatively
different
severity,
characterized
closer
proximity
postfire
landscapes.
These
have
important
implications
regions,
actions
ranging
prefire
planning
(e.g.,
response
preparedness)
real‐time
decision‐making
suppression
vs.
managed
use)
responses
replanting
restore
tree
cover
and/or
promoting
early‐seral
habitat).
The
generalizable
can
be
applied
regimes
effects.
Soil Science Society of America Journal,
Journal Year:
2024,
Volume and Issue:
88(4), P. 1045 - 1067
Published: June 14, 2024
Abstract
Fire
alters
soil
hydrologic
properties
leading
to
increased
risk
of
catastrophic
debris
flows
and
post‐fire
flooding.
As
a
result,
US
federal
agencies
map
burn
severity
(SBS)
via
direct
observation
adjustment
rasters
burned
area
reflectance.
We
developed
unique
application
digital
mapping
(DSM)
SBS
in
the
Creek
which
154,000
ha
Sierra
Nevada.
utilized
169
ground‐based
observations
combination
with
raster
proxies
forming
factors,
pre‐fire
fuel
conditions,
fire
effects
vegetation
build
model
(DSMSBS)
using
random
forest
algorithm
compared
DSMSBS
established
map.
The
had
cross‐validation
accuracy
48%.
technique
46%
agreement
between
field
pixels.
However,
since
is
manual,
it
could
not
be
cross‐validation.
produced
class
uncertainty
maps,
showed
high
prediction
probabilities
around
observations,
low
away
from
observations.
aid
assessment
teams
sample
prioritization.
report
107
km
2
more
classified
as
moderate
technique.
conclude
that
blending
factors
based
can
improve
mapping.
This
represents
shift
validating
remotely
sensed
reflectance
imagery
toward
quantitative
landscape
model,
incorporates
both
soils
information
directly
predict
SBS.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 31, 2024
Abstract
Background
Across
a
variety
of
anthropogenic
and
natural
contexts,
fire
can
reoccur
in
previously
burned
location.
However,
effects
subsequent
on
preexisting
pyrogenic
organic
matter
(PyOM)
stocks
are
difficult
to
discern.
Laboratory
experiments
offer
powerful
approach
investigating
how
impacts
the
PyOM.
Aims
We
aimed
design
highly
repeatable
laboratory
method
effectively
measure
fires
PyOM
at
different
soil
depths
while
addressing
key
limitations
previous
methods.
Methods
Jack
pine
(
Pinus
banksiana
Lamb.)
log
burns
were
used
parameterize
realistic
heat
flux
profiles.
Using
cone
calorimeter,
these
profiles
applied
buried
jack
simulate
variable
reburn
intensities.
Key
results
In
general,
higher
shallower
led
more
mass
loss
from
combustion
exposure.
Conclusions
Our
offers
replicable
way
specific
scenarios.
Conditions
that
result
exposure
(higher
fluxes,
depths)
likely
lead
fires.
Implications
The
customizable
could
scenarios
investigate
spatial
variability
within
given
event,
or
study
types
biomass
organisms,
such
as
microbes.
Summary
text
paper
illustrates
better
quantify
after
fire.
Ecological Applications,
Journal Year:
2024,
Volume and Issue:
34(7)
Published: Aug. 15, 2024
Abstract
Rising
global
fire
activity
is
increasing
the
prevalence
of
repeated
short‐interval
burning
(reburning)
in
forests
worldwide.
In
that
historically
experienced
frequent‐fire
regimes,
high‐severity
exacerbates
severity
subsequent
fires
by
shrubs
and/or
creating
drier
understory
conditions.
Low‐
to
moderate‐severity
fire,
contrast,
can
moderate
future
behavior
reducing
fuel
loads.
The
extent
which
previous
will
powerfully
affect
fire‐prone
forest
ecosystem
trajectories
over
next
century.
Further,
knowing
where
and
when
a
wildfire
may
act
as
landscape‐scale
treatment
help
direct
pre‐
post‐fire
management
efforts.
We
leverage
satellite
imagery
progression
mapping
model
reburn
dynamics
within
initially
burned
at
low/moderate
726
unique
pair
events
36‐year
period
across
four
large
Western
US
ecoregions.
ask
(1)
how
strong
are
moderating
effects
low‐
on
severity,
(2)
long
do
last,
(3)
does
time
between
(a
proxy
for
accumulation)
interact
with
initial
day‐of‐burning
weather
conditions,
climate
influence
severity.
Short‐interval
reburns
primarily
occurred
dry‐
moist‐mixed
conifer
regimes.
Previous
moderated
all
ecoregions
strongest
occurring
California
Coast
Mountains
average
duration
ranging
from
13
years
>36
Coast.
strength
depended
some
regions,
reflecting
differences
accumulation.
Coast,
lasted
longer
cooler
wetter
forests.
Mountains,
were
stronger
lasting
higher
Moderating
largely
robust
weather,
suggesting
mediate
even
under
extreme
Our
findings
demonstrate
buffers
forests,
underlining
importance
restoration
tool
adapting
change.