Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(9)
Published: May 2, 2024
Abstract
Fires
were
historically
rare
in
tropical
forests
of
West
and
Central
Africa,
where
dense
vegetation,
rapid
decomposition,
high
moisture
limit
available
fuels.
However,
increasing
heat
drought
combined
with
forest
degradation
fragmentation
are
making
these
areas
more
susceptible
to
wildfires.
We
evaluated
historical
patterns
Moderate
Resolution
Imaging
Spectroradiometer
active
fires
African
from
2003
2021.
Trends
mostly
positive,
particularly
the
northeastern
southern
Congo
Basin,
concentrated
deforestation.
Year‐to‐year
variation
was
synchronized
temperature
vapor
pressure
deficit.
There
anomalously
fire
activity
across
region
during
2015–2016
El
Niño.
These
results
contrast
drier
woodlands
savannas,
has
been
decreasing.
Further
attention
is
needed
understand
their
global
impacts
on
carbon
dynamics
local
implications
for
biodiversity
human
livelihoods.
Annual Review of Environment and Resources,
Journal Year:
2023,
Volume and Issue:
48(1), P. 207 - 235
Published: Aug. 31, 2023
Fire
is
an
integral
part
of
the
Earth
System
and
humans
have
skillfully
used
fire
for
millennia.
Yet
human
activities
are
scaling
up
reinforcing
each
other
in
ways
that
reshaping
patterns
across
planet.
We
review
these
changes
using
concept
regime,
which
describes
timing,
location,
type
fires.
then
explore
consequences
regime
on
biological,
chemical,
physical
processes
sustain
life
Earth.
Anthropogenic
drivers
such
as
climate
change,
land
use,
invasive
species
shifting
regimes
creating
environments
unlike
any
humanity
has
previously
experienced.
Although
exposure
to
extreme
wildfire
events
increasing,
we
highlight
how
knowledge
can
be
mobilized
achieve
a
wide
range
goals,
from
reducing
carbon
emissions
promoting
biodiversity
well-being.
A
perspective
critical
navigating
toward
sustainable
future—a
better
Anthropocene.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 24, 2024
Abstract
Tropical
rainforests
in
Sri
Lanka
are
biodiversity
hotspots,
which
sensitive
to
anthropogenic
disturbance
and
long-term
climate
change.
We
assessed
the
diversity,
endemism
conservation
status
of
these
across
a
wide
altitudinal
range
(100–2200
m
above
sea
level)
via
complete
census
all
trees
having
≥
10
cm
diameter
at
breast
height
ten
one-hectare
permanent
sampling
plots.
The
numbers
tree
families,
genera
species
community-scale
diversity
decreased
with
increasing
altitude.
Tree
richness
total
basal
area
per
ha
were
positively
associated
means
maximum
temperature,
annual
rainfall
solar
irradiance.
Percentage
endangered
increased
altitude
was
cumulative
soil
water
deficit,
day-night
temperature
difference
high
disturbance.
endemic
greater
lowland
than
high-altitude
montane
forests.
Nearly
85%
recorded
three
or
less
plots,
indicated
substantial
differentiation
their
distributions.
Less
individuals
41%
45%
native
species,
underlined
need
for
urgent
efforts
whole
range.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 30, 2025
Fires
alter
the
stability
of
organic
matter
and
promote
soil
erosion
which
threatens
fundamental
coupling
biogeochemical
cycles.
Yet,
how
biogeochemistry
its
environmental
drivers
respond
to
fire
remain
virtually
unknown
globally.
Here,
we
integrate
experimental
observations
random
forest
model,
reveal
significant
divergence
in
responses
attributes
fire,
including
carbon
(C),
nitrogen
(N),
phosphorus
(P)
contents
worldwide.
Fire
generally
decreases
C,
has
non-significant
impacts
on
total
N,
while
it
increases
inorganic
N
P,
with
some
effects
persisting
for
decades.
The
are
most
strongly
negative
cold
climates,
conifer
forests,
under
wildfires
high
intensity
frequency.
Our
work
provides
evidence
that
decouples
globally
helps
identify
high-priority
ecosystems
where
critical
components
especially
unbalanced
by
is
management
a
world
subjected
more
severe,
recurrent,
further-reaching
wildfires.
ASME Open Journal of Engineering,
Journal Year:
2025,
Volume and Issue:
4
Published: Jan. 1, 2025
Abstract
Wildfires
have
become
a
persistent
and
growing
global
risk,
causing
increasing
financial,
human,
environmental
damage.
By
all
accounts
predictions,
they
will
continue
to
rise
in
frequency
intensity
throughout
the
21st
century.
This
paper
begins
by
analyzing
physics
of
fire
outlines
why
detecting
wildfires
their
incipient
stages
is
most
effective
way
manage
them.
We
review
various
architectures
approaches
adopted
for
wildfire
detection,
including
spaceborne,
airborne,
fixed
cameras,
sensor
networks.
The
further
analyzes
pros
cons
each
approach
reviews
recent
deployments
published
research.
In
particular,
it
focuses
on
significant
role
that
Artificial
Intelligence
(AI)
Deep
Learning
(DL)
play
improving
effectiveness
aforementioned
architectures.
It
examines
algorithms
models
detection
platforms
compares
effectiveness.
study
suggests
solutions
combine
elements
mentioned
architectures,
integrating
different
sensors
look
signatures,
coupling
them
with
sophisticated
DL
maximize
sensitivity
while
minimizing
false
alarms.
An
important
trend
advancement
low-power
high-performance
hardware
enabling
real-time
operation
an
edge
device
limited
memory
processing
resources.
As
seconds
minutes
can
significantly
impact
our
ability
effectively
suppress
wildfire,
process
data,
at
network
edge,
even
remote,
unpredictable,
fragile
environment
crucial.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(2)
Published: Feb. 1, 2025
ABSTRACT
Fires
are
a
key
environmental
driver
that
modify
ecosystems
and
global
biodiversity.
can
negatively
positively
impact
biodiversity
ecosystem
functioning,
depending
on
how
frequently
fire
occurs
in
the
focal
ecosystem,
but
factors
influencing
responses
to
inadequately
understood.
We
conduct
pan‐tropical
analysis
of
systematically
collated
data
spanning
5257
observations
1705
plant
species
(trees
shrubs,
forbs,
graminoids
climbers)
burnt
unburnt
plots
from
28
studies.
use
model
averaging
mixed
effect
models
assessing
richness
turnover
(comparing
communities)
vary
with
time
since
fire,
type,
protected
area
status
biome
type
(fire
sensitive
or
adaptive).
Our
analyses
bring
three
findings.
First,
prescribed
non‐prescribed
burns
have
contrasting
impacts
(trees/shrubs
climbers);
favours
increased
compared
burns.
Second,
recovery
composition
varies
across
all
life
form
groups;
forb's
recovered
faster
over
forms.
Third,
protection
alters
trees/shrubs
climbers
graminoids.
Non‐protected
areas
exhibit
higher
trees/shrubs,
climbers.
Graminoid
quicker
sites
unprotected
ones.
Since
intervals
decreasing
fire‐sensitive
biomes
increasing
fire‐adaptive
biomes,
communities
much
tropics
likely
change
response
exposure
future.
Nature,
Journal Year:
2025,
Volume and Issue:
639(8053), P. 102 - 108
Published: March 5, 2025
Tropical
deforestation
was
found
to
cause
large
reductions
in
precipitation
using
a
range
of
observation-based
datasets1.
However,
the
limitations
satellite-based
space-for-time
statistical
analysis
have
hindered
understanding
roles
reshaped
mesoscale
atmospheric
circulation
and
regional
recycling
at
different
scales.
These
effects
are
considered
nonlocal
effects,
which
distinct
from
local
governed
by
deforestation-induced
evapotranspiration
(ET).
Here
we
show
reversed
responses
Amazon
across
wet
dry
seasons.
During
season,
deforested
grids
experienced
noteworthy
increase
(0.96
mm
month-1
per
percentage
point
forest
loss),
primarily
attributed
enhanced
(that
is,
effect).
increases
weaken
with
distance
grids,
leading
significant
buffers
beyond
60
km.
Conversely,
during
decreases
throughout
all
buffers,
reduced
ET
dominating.
Our
findings
highlight
intricate
balance
between
driving
deforestation-precipitation
seasons
scales
emphasize
urgent
need
address
rapid
extensive
loss
region.
Earth s Future,
Journal Year:
2023,
Volume and Issue:
11(4)
Published: April 1, 2023
Abstract
Quantifying
uncertainty
in
runoff
changes
has
profound
implications
for
future
investigations
and
will
support
global
climate
model
improvement.
We
analyze
the
from
outputs
of
5th
6th
Coupled
Model
Intercomparison
Projects
(CMIP5
CMIP6)
decompose
projected
into
three
main
sources:
internal
variability,
uncertainty,
scenario
uncertainty.
The
results
indicate
that
73%
72%
land
area,
respectively,
shows
an
increase
CMIP5
CMIP6
under
high‐emissions
scenarios
long
term
(2070–2099)
relative
to
1970–1999,
across
all
increases
by
10.8%
RCP8.5
16.1%
SSP5–8.5
during
2070–2099
1970–1999.
Regions
with
increasing
are
mainly
Southeast
Asia,
eastern
Africa,
Qinghai‐Tibet
Plateau
high
latitudes
Northern
Hemisphere.
agreement
is
greater
than
low‐emissions
scenarios.
For
(RRC)
CMIP6,
contribution
variability
gradually
decreases
over
time
(from
49.2%
2.0%)
while
0.6%
30.0%);
this
result
similar
CMIP5.
Spatially,
RRC
been
a
major
source
accounting
more
60%
total
most
regions.
study
help
us
better
understand
also
provide
theoretical
basis
developing
mitigation
measures
changes.