Evaluation of Heat Shock Effects on Seedling Emergence and Seed Bank Viability in 18 Colombian Dry Forest Species
Applied Vegetation Science,
Journal Year:
2025,
Volume and Issue:
28(1)
Published: Jan. 1, 2025
ABSTRACT
Aim
High
temperatures
during
forest
fires
can
cause
significant
damage
to
tropical
dry
areas
and
alter
their
ecological
stability,
particularly
by
affecting
seed
viability
seedling
emergence.
This
study
evaluates
the
emergence
response
of
18
species
fire‐simulated
temperatures,
aiming
assess
potential
for
restoration
in
fire‐prone
Colombian
ecosystems.
Location
The
seeds
used
this
were
obtained
from
three
forests
Colombia.
Methods
A
total
9832
collected
directly
soil
bank
These
then
exposed
simulated
fire
(100°C,
150°C,
200°C)
10
min.
Seed
was
analyzed
using
2,3,5‐triphenyl
tetrazolium
chloride
reagent
(tetrazolium
test)
assessed
a
generalized
linear
model.
Seedling
mean
time
evaluated
one‐way
analysis
variance
(ANOVA)
with
temperature
treatments
as
factors.
Results
revealed
that
significantly
decreased
higher
heat
shock
temperatures.
Notably,
Hura
crepitans
Parkinsonia
aculeata
tolerated
up
100°C,
while
Caesalpinia
pulcherrima
Enterolobium
cyclocarpum
showed
increased
at
temperature.
Based
on
responses,
classified
stimulated,
tolerant,
sensitive,
or
vulnerable.
declined
rising
like
Cordia
alba
,
Crescentia
cujete
Lonchocarpus
violaceus
.
Conclusions
shows
shocks
150°C
200°C
reduced
most
species.
However,
stimulated
100°C
shocks,
no
adverse
effects.
Vulnerable
Coccoloba
acuminata
Pithecellobium
dulce
exhibited
viable
suggesting
local
extinctions.
results
emphasize
need
focus
heat‐tolerant
efforts
Language: Английский
Short-interval fires homogenise the structure of diverse temperate forests
Forest Ecology and Management,
Journal Year:
2025,
Volume and Issue:
584, P. 122580 - 122580
Published: March 3, 2025
Language: Английский
Data-Driven PM2.5 Exposure Prediction in Wildfire-Prone Regions and Respiratory Disease Mortality Risk Assessment
Fire,
Journal Year:
2024,
Volume and Issue:
7(8), P. 277 - 277
Published: Aug. 7, 2024
Wildfires
generate
substantial
smoke
containing
fine
particulate
matter
(PM2.5)
that
adversely
impacts
health.
This
study
develops
machine
learning
models
integrating
pre-wildfire
factors
like
weather
and
fuel
conditions
with
post-wildfire
health
to
provide
a
holistic
understanding
of
exposure
risks.
Various
data-driven
including
Support
Vector
Regression,
Multi-layer
Perceptron,
three
tree-based
ensemble
algorithms
(Random
Forest,
Extreme
Gradient
Boosting
(XGBoost),
Natural
(NGBoost))
are
evaluated
in
this
study.
Ensemble
effectively
predict
PM2.5
levels
based
on
temperature,
humidity,
wind,
moisture,
revealing
the
significant
roles
radiation,
moisture.
Further
modelling
links
deaths
from
chronic
obstructive
pulmonary
disease
(COPD)
lung
cancer
using
age,
sex,
pollution
type
as
inputs.
Ambient
is
primary
driver
COPD
mortality,
while
age
has
greater
influence
deaths.
research
advances
atmospheric
impact
understanding,
aiding
forest
fire
prevention
management.
Language: Английский
Soil seedbanks are shaped by the timing of fires in a Mediterranean‐type ecosystem
Journal of Applied Ecology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 10, 2024
Abstract
Many
plants
rely
on
soil
seedbanks
to
persist
in
fire‐prone
ecosystems.
However,
knowledge
of
plant
responses
fire
is
largely
based
above‐ground
dynamics.
Quantifying
how
influences
the
seedbank
a
diverse
range
species
will
improve
management.
Here,
we
aim
understand
timing
fires
occurrence
seedbank,
and
this
relates
traits,
Mediterranean‐type
ecosystem.
We
sampled
across
57
sites
that
represent
frequencies
(1–9
81
years)
time
since
(1–81
years).
Through
15‐month
germination
experiment,
identified
39,701
germinates
from
245
species.
Using
nonlinear
models,
quantified
75
species'
history
compared
these
responses.
Fire
influenced
according
seed
longevity
life‐history
traits.
observed
response
15
fire:
All
were
with
long‐lived
seed,
including
eight
annuals,
five
resprouters
an
obligate
seeder.
Similarly,
17
frequency,
16
which
had
seed.
Extensive
periods
without
(>40
increase
availability
for
annuals
form
frequent
(every
≤15
depletes
it.
did
not
detect
consistent
influence
several
other
functional
types.
(53%)
found
vegetation,
seven
22
modelled
displayed
fire.
Synthesis
applications
:
frequency
probability
seedbank.
Frequent
depend
persistence.
Yet,
species,
perennials
short‐lived
storage,
appear
be
resilient
experienced
date.
suggest
management
should
generate
variation
within
landscape,
areas
low
tailored
maintain
rich
diversity
Language: Английский