Forest Service Research Data Archive,
Год журнала:
2020,
Номер
unknown
Опубликована: Дек. 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,
Год журнала:
2023,
Номер
120(11)
Опубликована: Март 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,
Год журнала:
2024,
Номер
561, С. 121885 - 121885
Опубликована: Апрель 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,
Год журнала:
2023,
Номер
32(4), С. 449 - 475
Опубликована: Фев. 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.