Forest Service Research Data Archive,
Journal Year:
2020,
Volume and Issue:
unknown
Published: Dec. 22, 2020
This
archive
contains
research
data
collected
and/or
funded
by
Forest
Service
Research
and
Development
(FS
R&D),
U.S.
Department
of
Agriculture.
It
is
a
resource
for
accessing
both
short
long-term
FS
R&D
data,
which
includes
Experimental
Range
data.
way
to
preserve
share
the
quality
science
our
researchers.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(11)
Published: March 6, 2023
Increasing
fire
severity
and
warmer,
drier
postfire
conditions
are
making
forests
in
the
western
United
States
(West)
vulnerable
to
ecological
transformation.
Yet,
relative
importance
of
interactions
between
these
drivers
forest
change
remain
unresolved,
particularly
over
upcoming
decades.
Here,
we
assess
how
interactive
impacts
changing
climate
wildfire
activity
influenced
conifer
regeneration
after
334
wildfires,
using
a
dataset
from
10,230
field
plots.
Our
findings
highlight
declining
capacity
across
West
past
four
decades
for
eight
dominant
species
studied.
Postfire
is
sensitive
high-severity
fire,
which
limits
seed
availability,
climate,
influences
seedling
establishment.
In
near-term,
projected
differences
recruitment
probability
low-
scenarios
were
larger
than
most
species,
suggesting
that
reductions
severity,
resultant
on
could
partially
offset
expected
climate-driven
declines
regeneration.
Across
40
42%
study
area,
project
be
likely
following
low-severity
but
not
under
future
(2031
2050).
However,
increasingly
warm,
dry
eventually
outweigh
influence
availability.
The
percent
area
considered
unlikely
experience
regeneration,
regardless
increased
5%
1981
2000
26
31%
by
mid-century,
highlighting
limited
time
window
management
actions
reduce
may
effectively
support
Forest Ecology and Management,
Journal Year:
2024,
Volume and Issue:
561, P. 121885 - 121885
Published: April 5, 2024
Increased
understanding
of
how
mechanical
thinning,
prescribed
burning,
and
wildfire
affect
subsequent
severity
is
urgently
needed
as
people
forests
face
a
growing
crisis.
In
response,
we
reviewed
scientific
literature
for
the
US
West
completed
meta-analysis
that
answered
three
questions:
(1)
How
much
do
treatments
reduce
within
treated
areas?
(2)
effects
vary
with
treatment
type,
age,
forest
type?
(3)
does
fire
weather
moderate
treatments?
We
found
overwhelming
evidence
thinning
pile
burning
only
are
effective
at
reducing
severity,
resulting
in
reductions
between
62%
72%
relative
to
untreated
areas.
comparison,
was
less
–
underscoring
importance
treating
surface
fuels
when
mitigating
management
goal.
The
efficacy
these
did
not
among
types
assessed
this
study
high
across
range
conditions.
Prior
had
more
complex
impacts
on
which
varied
type
initial
severity.
Across
types,
effectiveness
declined
over
time,
mean
reduction
decreasing
than
twofold
occurred
greater
10
years
after
treatment.
Our
provides
up-to-date
information
extent
active
reduces
facilitates
better
outcomes
during
future
events.
International Journal of Wildland Fire,
Journal Year:
2023,
Volume and Issue:
32(4), P. 449 - 475
Published: Feb. 6, 2023
The
Composite
Burn
Index
(CBI)
is
commonly
linked
to
remotely
sensed
data
understand
spatial
and
temporal
patterns
of
burn
severity.
However,
a
comprehensive
understanding
the
tradeoffs
between
different
methods
used
model
CBI
with
lacking.
To
help
current
state
science,
provide
blueprint
towards
conducting
broad-scale
meta-analyses,
identify
key
decision
points
potential
rationale,
we
conducted
review
studies
that
continuous
estimates
severity
measured
related
methods.
We
roadmap
methodologies
applied
examine
rationales
justify
them.
Our
findings
largely
reflect
in
North
America
–
particularly
western
USA
due
high
number
region.
find
use
across
introduces
variations
make
it
difficult
compare
outcomes.
Additionally,
existing
suite
comparative
focuses
on
one
or
few
many
possible
sources
uncertainty.
Thus,
compounding
error
propagation
throughout
decisions
made
during
analysis
not
well
understood.
Finally,
suggest
broad
set
methodological
information
for
decision-making
could
facilitate
future
reviews.
Wildfires
are
important
natural
drivers
of
forest
stands
dynamics,
strongly
influencing
on
their
regeneration
and
ecosystem
services.
This
paper
presents
a
comprehensive
analysis
spatiotemporal
burnt
area
(BA)
patterns
over
the
period
2000–2022
in
Middle
Volga
region
Russian
Federation
base
remote
sensing
time
series,
considering
impact
cli-matic
factors
fires.
The
temporal
trends
were
assessed
with
Mann-Kendall
nonpara-metric
statistical
test
Theil-Sen’s
slope
estimator
using
LandTrendr
algorithm
Google
Earth
Platform
(GEE).
accuracy
assessment
indicated
high
overall
(>
84%)
F-score
value
82%)
for
detection
as
evaluated
against
581
sites
ref-erence
data.
results
revealed
that
fire
occurrences
mainly
irregular
highest
frequency
7.3
22-year
period.
total
BA
was
about
280
thousand
ha,
which
equals
to
1.7%
land
surface
or
4.0%
forested
under
study
region.
coniferous
most
fire-prone
ecosystems
accounting
59.0
%
BA;
deciduous
accounts
25.1%;
insignificant
registered
young
forests
shrub
lands.
On
seasonal
scale,
temperature
generally
has
greater
than
precipitation
wind
speed.
Frontiers in Environmental Science,
Journal Year:
2022,
Volume and Issue:
10
Published: Aug. 31, 2022
Wildfires
burn
heterogeneously
across
the
landscape
and
create
complex
forest
structures.
Quantifying
structural
changes
in
post-fire
forests
is
critical
to
evaluating
wildfire
impacts
providing
insights
into
severities.
To
advance
understanding
of
severities
at
a
fine
scale,
attributes
individual
tree
level
need
be
examined.
The
advent
drone
laser
scanning
(DLS)
mobile
(MLS)
has
enabled
acquisition
high-density
point
clouds
resolve
structures
trees.
Yet,
few
studies
have
used
DLS
MLS
data
jointly
examine
their
combined
capability
describe
assess
2017
Elephant
Hill
British
Columbia,
Canada,
we
scanned
trees
that
experienced
range
2
years
using
both
MLS.
After
fusing
data,
reconstructed
quantitative
structure
models
compute
14
biometric,
volumetric,
crown
attributes.
At
level,
our
suggest
smaller
pre-fire
tend
experience
higher
levels
scorch
than
larger
Among
with
similar
sizes,
those
within
mature
stands
(age
class:
>
50
years)
had
lower
young
15—50
years).
small-
medium-diameter
trees,
experiencing
high
crowns
unevenly
distributed
branches
compared
unburned
In
contrast,
large-diameter
were
more
resistant
scorch.
plot
low-severity
fires
minor
effects,
moderate-severity
mostly
decreased
height,
high-severity
significantly
reduced
diameter
breast
biomass.
Our
exploratory
factor
analyses
further
revealed
dominated
by
large
sizes
relatively
wide
spacing
could
less
severely
characterized
regenerating
fuel
density
continuity.
Overall,
results
demonstrate
fused
DLS-MLS
can
effective
quantifying
structures,
which
facilitates
foresters
develop
site-specific
management
plans.
findings
imply
abundance
configuration
vital
controlling