Fire Ecology,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: Dec. 18, 2024
Abstract
Background
Modern
land
management
faces
unprecedented
uncertainty
regarding
future
climates,
novel
disturbance
regimes,
and
unanticipated
ecological
feedbacks.
Mitigating
this
requires
a
cohesive
landscape
strategy
that
utilizes
multiple
methods
to
optimize
benefits
while
hedging
risks
amidst
uncertain
futures.
We
used
process-based
simulation
model
(LANDIS-II)
forecast
forest
management,
growth,
climate
effects,
wildfire
dynamics,
we
distilled
results
using
decision
support
tool
allowing
us
examine
tradeoffs
between
alternative
strategies.
developed
plausible
scenarios
based
on
factorial
combinations
of
restoration-oriented
thinning
prescriptions,
prescribed
fire,
wildland
fire
use.
Results
were
assessed
continuously
for
100-year
period,
which
provided
unique
assessment
among
seven
primary
topics
representing
social
,
economic
aspects
resilience.
Projected
climatic
changes
had
substantial
impact
modeled
activity.
In
the
Wildfire
Only
scenario
(no
treatments,
but
including
active
change),
observed
an
upwards
inflection
point
in
area
burned
around
mid-century
(2060)
detrimental
impacts
total
carbon
storage.
While
simulated
mechanical
treatments
(~
3%
per
year)
reduced
incidence
high-severity
it
did
not
eliminate
completely.
Scenarios
involving
use
resulted
greater
reductions
more
linear
trend
cumulative
burned.
Mechanical
beneficial
subtopics
under
topic
given
their
positive
financial
return
investment,
better
subtopics,
primarily
due
reduction
fire.
Benefits
mixed,
reflecting
inevitability
landscapes
rely
diverse
countervailing
ecosystem
services.
Conclusions
This
study
provides
evidence
optimal
will
involve
mix
passive
strategies,
different
tactics
coexist
within
ownerships
classes.
Our
also
emphasize
importance
decisions
as
central
building
robust
resilient
landscapes.
Fire Ecology,
Journal Year:
2024,
Volume and Issue:
20(1)
Published: May 21, 2024
Abstract
Background
Over
the
last
four
decades,
wildfires
in
forests
of
continental
western
United
States
have
significantly
increased
both
size
and
severity
after
more
than
a
century
fire
suppression
exclusion.
Many
these
historically
experienced
frequent
were
fuel
limited.
To
date,
reduction
treatments
been
small
too
widely
dispersed
to
impacted
this
trend.
Currently
new
land
management
plans
are
being
developed
on
most
154
National
Forests
that
will
guide
support
ground
practices
for
next
15–20
years.
Results
During
plan
development,
we
recommend
Strategic
Fire
Zones
(SFZs)
be
identified
large
blocks
(≥
2,000
ha)
Federal
forest
lands,
buffered
1–2.4
km)
from
wildland-urban
interface
reintroduction
beneficial
fire.
In
SFZs,
lightning
ignitions,
as
well
prescribed
cultural
burns,
would
used
reduce
fuels
restore
ecosystem
services.
Although
such
successfully
established
limited
number
Parks
Wilderness
Areas,
identify
extensive
remote
areas
US
(8.3–12.7
million
ha),
outside
wilderness
(85–88%),
where
they
could
established.
Potential
wildland
Operational
Delineations
or
PODs
SFZ
boundaries.
We
outline
steps
identify,
implement,
monitor,
communicate
use
benefits
SFZs.
Conclusions
Enhancing
collaboration
knowledge-sharing
with
Indigenous
communities
can
play
vital
role
gaining
agency
public
building
narrative
how
rebuild
climate-adapted
regimes
live
within
them.
Meaningful
increases
multiply
amount
landscape
while
reducing
risk
their
impacts
structures
Molecular Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 5, 2025
ABSTRACT
Fire
is
a
common
ecological
disturbance
that
structures
terrestrial
ecosystems
and
biological
communities.
The
ability
of
fires
to
contribute
ecosystem
heterogeneity
has
been
termed
pyrodiversity
directly
linked
biodiversity
(i.e.,
the
pyrodiversity–biodiversity
hypothesis).
Since
climate
change
models
predict
increases
in
fire
frequency,
understanding
how
influences
soil
microbes
important
for
predicting
will
respond
regime
changes.
Here
we
tested
frequency‐driven
changes
burn
patterns
pyrodiversity)
influenced
microbial
communities
diversity.
We
assessed
effects
on
by
manipulating
frequency
(annual
vs.
biennial
fires)
tallgrass
prairie
restoration
evaluating
(bacteria
fungi).
Annual
burns
produced
more
heterogeneous
(higher
were
shifts
fungal
bacterial
community
composition.
While
did
not
influence
fungi)
alpha
diversity,
beta
diversity
increase
with
pyrodiversity.
Changes
composition
patterns,
suggesting
other
components
(e.g.,
plants
characteristics)
dynamics
greater
observed
annually
burned
plots.
Shifts
variation
higher
severity
pattern
(grey
white
ash),
thermotolerance
contributed
lower
biennially
This
demonstrates
augment
may
productivity
fire‐prone
ecosystems.
Frontiers in Forests and Global Change,
Journal Year:
2023,
Volume and Issue:
6
Published: Nov. 23, 2023
Introduction
Forest
landscapes
offer
resources
and
ecosystem
services
that
are
vital
to
the
social,
economic,
cultural
well-being
of
human
communities,
but
managing
for
these
provisions
can
require
socially
ecologically
relevant
trade-offs.
We
designed
a
spatial
decision
support
model
reveal
trade-offs
synergies
between
in
large
eastern
Cascade
Mountain
landscape
Washington
State,
USA.
Methods
used
process-based
forest
(LANDIS-II)
hydrology
(DHSVM)
models
compare
outcomes
associated
with
100
years
simulated
wildfire
dynamics
two
management
scenarios,
Wildfire
only
+
Treatments
.
then
examined
strength
distribution
potential
treatment
effects
trends
set
over
simulation
period.
Results
found
area
burned
increased
time,
some
impacts
could
be
mitigated
by
adaptation
treatments.
Treatment
benefits
were
not
limited
treated
areas.
Interestingly,
we
observed
neighborhood
where
fire
spread
severity
reduced
patches
adjacent
as
well,
creating
among
resource
services.
Ordinations
provided
further
evidence
main
kinds
outcomes.
Positive
ecological
treatments
greatest
upper
elevation
moist
cold
forests,
while
positive
communities
aligned
drier,
low-
mid-elevation
forests
closer
wildland
urban
interface.
Discussion
Our
results
contribute
improved
understanding
tradeoffs
linked
restoration
efforts
fire-prone
inform
aimed
at
rebuilding
resilient,
climate-adapted
landscapes.
Forest Ecology and Management,
Journal Year:
2024,
Volume and Issue:
567, P. 122072 - 122072
Published: June 28, 2024
Maintaining
dense
forest
habitats
for
the
threatened
northern
spotted
owl
(NSO)
has
proven
challenging
in
seasonally
dry,
fire-dependent
landscapes
where
low-density
conditions
were
historically
dominant
and
are
generally
more
climate-
disturbance-resilient.
To
better
inform
dual,
sometimes-conflicting
objectives
of
species
conservation
resilience,
we
developed
an
approach
to
evaluate
NSO
habitat
sustainability
by:
(1)
quantifying
structure
high
suitability
(HSH)
associated
with
using
two
remotely
sensed
platforms,
(2)
estimating
current
historical
HSH
abundance,
(3)
identifying
locations
likely
persist
given
future
forest-zone
climate
projections
increasing
risk
severe
wildfire.
Tall,
closed-canopy
effectively
comprised
key
structural
features
HSH,
providing
a
means
map
through
time.
Both
amounts
contemporary
spatial
patterns
other
non-forest
around
occupied
sites
indicated
that
resilience
goals
can
be
congruent
at
multiple
scales.
Independent
lines
evidence
suggest
composed
∼18–24%
dry
moist
mixed-conifer
landscape
–
considerably
lower
levels
than
management
many
areas.
Projected
shifts
severe-fire
likelihood
substantial
temporal
will
sustainable
into
mainly
currently
as
well
some
cold
types.
These
findings
potential
convergence
trade-offs
disturbance
across
local
regional
landscapes,
based
on
inherent
capacity
support
both
under
projected
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(10), P. e0312552 - e0312552
Published: Oct. 28, 2024
Predicting
environmental
disturbances
and
evaluating
their
potential
impacts
on
the
habitats
of
various
plant
animal
species
is
a
suitable
strategy
for
guiding
conservation
efforts.
Wildfires
are
type
disturbance
that
can
affect
many
aspects
an
ecosystem
its
species.
Therefore,
through
integration
spatial
models
distribution
(SDMs),
we
make
informed
predictions
occurrence
such
phenomena
impacts.
This
study
focused
five
focal
species,
namely,
brown
bear
(
Ursus
arctos
),
wild
goat
Capra
aegagrus
sheep
Ovis
orientalis
wildcat
Felis
silvestris
striped
hyena
Hyaena
hyaena
).
used
MODIS
active
fire
data
ensemble
machine
learning
methods
to
model
risk
wildfire
in
2023
spring,
summer,
autumn
separately.
also
investigated
suitability
via
SDMs.
The
predicted
probability
maps
habitat
were
converted
binary
values
true
skill
statistic
(TSS)
threshold.
overlap
map
areas
was
analyzed
GAP
analysis.
area
prone
summer
winter
equal
9077.32;
10,199.83
13,723.49
KM
2
calculated,
which
indicates
increase
risk.
Proximity
roads
one
most
important
factors
affecting
possible
effects
wildfires
all
seasons.
Most
occurrences
concentrated
agricultural
lands,
which,
when
integrated
with
other
land
use
types,
have
destroy
residues
critical
factor
wildfires.
range
each
considered
component
susceptibility.
Hence,
autumn,
5.257,
5.856,
6.889
km
respectively,
affected
by
possibility
fire.
In
contrast,
these
lowest
,
162,
127,
396
respectively.
dependent
human-based
ecosystems
highest
vulnerability
wildfire.
Conservation
efforts
should
focus
familiarizing
farmers
destroying
as
well
consequences
intentional
fires.
findings
this
be
mitigate
negative
protect
PLOS Climate,
Journal Year:
2024,
Volume and Issue:
3(8), P. e0000479 - e0000479
Published: Aug. 20, 2024
The
Federal
Emergency
Management
Agency
(FEMA)
has
long
advocated
for
what
it
calls
a
“Whole
Community
approach”
to
disaster
resilience
and
recovery.
This
philosophy
holds
that
the
priorities
of
all
governmental,
commercial,
interest
groups
should
be
considered,
their
capabilities
leveraged,
in
preparing
responding
disasters.
According
FEMA,
federally
recognized
Tribal
governments
are
part
Community.”
In
this
paper
we
use
systematic
content
analysis
techniques
examine
policy
documents
derived
from
Hazard
Mitigation
Assistance
grant
program
assess
whether
how
FEMA
taken
concrete
steps
necessary
include
We
find
while
expressed
more
equitable
accessible
serves
needs
governments,
few
practical
toward
goal.
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.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 27, 2024
Abstract
Modeling
global
net
ecosystem
exchange
is
essential
to
understanding
and
quantifying
the
complex
interactions
between
Earth’s
terrestrial
ecosystems
atmosphere.
Emphasizing
interrelatedness
exchange,
sea
surface
temperature,
atmospheric
CO
2
levels,
intuitively
suggests
that
all
three
systems
may
exhibit
collective
environmental
memory.
Motivated
by
this,
we
explicitly
identified
a
memory
function
showed
similar
non-Markovian
stochastic
behavior
for
these
exhibiting
superdiffusive
in
short
time
intervals.
These
results
were
consistent
with
our
previous
analyses
at
level
suggesting
scale
invariance
phenomena.
Thus,
observed
superdif
fusive
operating
different
scales
universality
of
systems.