Abstract
Background
In
seed-obligate
conifer
forests
of
the
western
US,
land
managers
need
a
better
understanding
spatiotemporal
variability
in
post-fire
recovery
to
develop
adaptation
strategies.
Successful
establishment
seedlings
requires
arrival
seeds
and
favorable
environmental
conditions
for
germination,
survival,
growth.
We
investigated
limitations
seedling
height
growth
dry
moist
mixed
with
without
forest
management
treatments
(salvage
logging,
grass
seeding)
areas
burned
from
low
high
severity.
2011,
we
measured
year,
juvenile
density
(seedlings
saplings),
(annual
total)
50
plots
six
species
School
Fire
(2005),
Blue
Mountains,
WA,
USA.
2021,
remeasured
Results
Post-fire
tree
densities
appeared
sufficient
self-replacement
(>
60
stems
ha
−1
)
96%
2021
(median
3130
),
but
were
highly
variable
(range
33–100,501
).
Annual
was
positively
correlated
cooler,
wetter
climate
during
summer
germination
(July–September)
growing
season
subsequent
year
(April–September)
multiple
species.
found
lower
at
greater
distances
seed
sources
higher
cover,
while
salvage
logging
had
no
effect.
shorter
on
warmer,
drier
topographic
positions
three
species,
whereas
annual
associated
one
Shifts
class
structure
2011
were,
part,
explained
by
differences
among
Conclusions
Abundant
widespread
after
fire
strong
evidence
that
most
sites
present
study
are
currently
trajectory
return
forest.
However,
may
be
constrained
brief
periods
following
future
fires.
Long-term
monitoring
dynamics
is
needed
inform
activities
designed
adapt
change
disturbances,
which
will
collectively
shape
composition.
Forest Ecology and Management,
Год журнала:
2023,
Номер
550, С. 121478 - 121478
Опубликована: Окт. 31, 2023
Yellow
pine
and
mixed-conifer
(YPMC)
forests
of
California's
Sierra
Nevada
have
experienced
widespread
fire
suppression
for
over
a
century,
resulting
in
ingrowth
densification
trees,
heavy
fuel
accumulation,
shifts
species
composition.
Under
warmer
drier
climates,
these
are
primed
stand-replacing
fires
severe
drought
mortality,
requiring
management
interventions
to
improve
their
resilience
mitigate
future
impacts.
Observations
from
functioning
frequent-fire
systems
(e.g.,
contemporary
reference
sites)
can
provide
key
insights
about
pattern-process
relationships
fire-intact
systems,
which
be
used
inform
regional
efforts.
In
this
study,
we
airborne
lidar
data
quantify
compare
forest
structure
at
multiple
spatial
scales
between
sites
(i.e.,
with
restored
frequent,
low-intensity
regime)
control
typical
fire-suppressed
forests).
We
evaluated
structures
the
neighborhood-
(∼1
ha),
site-
(∼100–1,000
among-site-
(∼10,000–100,000
ha)
levels.
sites,
high
proportions
individual
small
clumps
2–4
open
space
formed
mostly
canopy
neighborhood-level,
patches
neighborhood-level
were
arranged
heterogeneous
patterns
within
sites.
observed
low
variability
site-level
among
indicating
stabilizing
effect
across
broad,
ecosystem
scales.
edaphic
factors
other
non-fire
disturbances
occasionally
produced
heterogeneity
site-level,
but
degree
was
not
consistent
Structural
suggest
improved
climate
change,
increased
provisioning
services
relative
applying
metrics
help
multi-scale
multi-resource
forests.
The
intensity
of
wildfires
has
increased
dramatically
in
recent
decades;
thus,
better
understanding
the
impact
land-management
efforts
biodiversity
conservation
on
post-wildfire
recovery
could
highlight
value
these
interventions.
Field
assessments
are
often
costly;
therefore,
monitoring
effectiveness
applied
practices
using
remote
sensing
tools
is
critical.
main
goal
this
study
to
develop
and
apply
a
framework
assess
post-fire
recovery.
We
focused
area
northern
California
southern
Oregon,
region
with
diverse
wildfire
activity
past
decade.
proposed
uses
MODIS
dataset
identify
fire
burn
events
Landsat
analyze
time
series
an
area-aggregated
vegetation
index,
Normalized
Burn
Ratio
(NBR).
Using
framework,
we
confirmed
our
hypothesis
that
areas
lacking
protection
practices,
slower
more
lingering.
median
5-year
dNBR
for
unprotected
was
around
27%,
compared
37%
across
all
other
areas.
Along
primary
analysis,
also
examined
severity
different
moderate-to-severe
capture
differences
characteristics
under
conversation
practices.
This
analysis
revealed
experienced
severe
events.
investigated
three
dominant
forest
types
area:
Dry-Mesic
Conifer,
Mesic
Evergreen
Forests.
disparity
between
protected
non-protected
most
pronounced
dominated
by
aggregated
highlights
importance
approach
provide
cost-efficient
tool
assessing
globe.
Global Change Biology,
Год журнала:
2025,
Номер
31(2)
Опубликована: Фев. 1, 2025
ABSTRACT
Extreme
fire
spread
events
rapidly
burn
large
areas
with
disproportionate
impacts
on
people
and
ecosystems.
Such
are
associated
warmer
drier
seasons
expected
to
increase
in
the
future.
Our
understanding
of
landscape
outcomes
extreme
is
limited,
particularly
regarding
whether
they
more
severely
or
produce
spatial
patterns
less
conducive
ecosystem
recovery.
To
assess
relationships
between
rates
severity
patterns,
we
used
satellite
detections
create
day‐of‐burning
maps
for
623
fires
comprising
4267
single‐day
within
forested
ecoregions
southwestern
United
States.
We
related
satellite‐measured
a
suite
high‐severity
patch
metrics
daily
area
burned.
(defined
here
as
burning
>
4900
ha/day)
exhibited
higher
mean
severity,
greater
proportion
burned
severely,
increased
like
adjacencies
pixels.
Furthermore,
increasing
also
resulted
distances
patches
live
tree
seed
sources.
High‐severity
size
total
core
were
substantially
containing
one
than
without
an
event.
Larger
homogenous
produced
during
can
limit
regeneration
set
stage
protracted
forest
conversion.
These
be
magnified
under
future
climate
scenarios,
accelerating
fire‐driven
loss
long‐term
ecological
change.
Frontiers in Forests and Global Change,
Год журнала:
2024,
Номер
7
Опубликована: Фев. 22, 2024
With
the
onset
of
rapid
climate
change
and
legacy
past
forest
management
fire
suppression
policies,
capacity
for
forested
landscapes
to
maintain
core
functionality
processes
is
being
challenged.
As
such,
managers
are
tasked
with
increasing
pace
scale
mitigate
negative
impacts
future
large
disturbances
improve
resilience
adaptation
landscapes.
Such
efforts
require
consensus
building,
partners
stakeholders
determine
where
allocate
scarce
resources.
We
present
a
methodology
identify
strategic
(where
go)
tactical
(what
do)
priorities
across
assist
in
project
level
planning.
The
model
integrates
spatial
assessment
current
ecosystem
resource
conditions
outputs
from
landscape
succession
disturbance
simulation
(LANDIS-II)
assess
potential
achieve
desired
under
ongoing
disturbances.
Based
on
expected
trajectory
over
time,
applies
fuzzy
logic
modeling
provide
quantitative
support
four
strategies
(Monitor,
Protect,
Adapt,
Transform)
landscape.
an
example
application
these
methods
targeting
sustainable
carbon
loads
970,000
ha
central
Sierras
California.
By
including
model,
decisions
made
at
stand-level
inherently
tied
influenced
by
larger
landscape-level
that
likely
have
greatest
impact
dynamics.
outlined
here
able
incorporate
multiple
metrics
capture
many
resources
targeted
management.
Model
could
also
be
used
as
inputs
into
optimization
models
tradeoffs
synergies
among
treatment
options
aid
long-term
PLoS ONE,
Год журнала:
2023,
Номер
18(2), С. e0281927 - e0281927
Опубликована: Фев. 27, 2023
As
contemporary
wildfire
activity
intensifies
across
the
western
United
States,
there
is
increasing
recognition
that
a
variety
of
forest
management
activities
are
necessary
to
restore
ecosystem
function
and
reduce
hazard
in
dry
forests.
However,
pace
scale
current,
active
insufficient
address
restoration
needs.
Managed
landscape-scale
prescribed
burns
hold
potential
achieve
broad-scale
goals
but
may
not
desired
outcomes
where
fire
severity
too
high
or
low.
To
explore
for
alone
forests,
we
developed
novel
method
predict
range
severities
most
likely
historical
basal
area,
density,
species
composition
forests
eastern
Oregon.
First,
probabilistic
tree
mortality
models
24
based
on
characteristics
remotely
sensed
from
burned
field
plots.
We
applied
these
estimates
unburned
stands
four
national
post-fire
conditions
using
multi-scale
modeling
Monte
Carlo
framework.
compared
results
reconstructions
identify
with
highest
potential.
Generally,
found
area
density
targets
could
be
achieved
by
relatively
narrow
moderate-severity
(roughly
365–560
RdNBR).
single
events
did
were
historically
maintained
frequent,
low-severity
fire.
Restorative
ranges
stand
strikingly
similar
ponderosa
pine
(
Pinus
)
mixed-conifer
broad
geographic
range,
part
due
tolerance
large
grand
Abies
grandis
white
fir
concolor)
.
Our
suggest
created
recurrent
readily
restored
fires
landscapes
have
passed
thresholds
preclude
effectiveness
managed
as
tool.