Journal of Geophysical Research Biogeosciences,
Journal Year:
2023,
Volume and Issue:
128(11)
Published: Nov. 1, 2023
Abstract
Rising
temperatures
amplify
biogenic
volatile
organic
compound
(VOC)
emissions
from
Arctic
vegetation,
causing
feedbacks
to
the
climate
system.
Changes
in
also
alter
plant
physiology
and
vegetation
composition,
all
of
which
can
influence
VOC
emissions.
Moreover,
leaf
development
biotic
stresses
cause
highly
variable
during
growing
season.
Therefore,
linking
with
traits
tracking
responses
change
might
provide
better
understanding
emission
regulation
under
future
conditions.
We
measured
other
dwarf
birch
(
Betula
glandulosa
)
at
two
elevations
Narsarsuaq,
South
Greenland.
The
measurements
were
performed
warming
experiments
that
have
run
since
2016.
collected
VOCs
using
branch
enclosure
method
early
June
until
late
July
2019
n
=
200).
Emissions
green
volatiles
(GLVs),
oxygenated
monoterpenes
(oMTs),
homoterpenes
followed
a
seasonal
trend.
rates
diversity
blend
decreased
end
measurement
period.
Differences
between
pronounced
Majority
did
not
explain
variation
show
strong
variability
within
season,
is
likely
driven
by
phenology.
While
was
greater
milder
low‐elevation
site,
higher
or
similar
harsher
high‐elevation
showing
stronger
potentials
than
previously
assumed.
Seasonal
variations
are
crucial
for
accurate
predictions
current
arctic
ecosystems.
Frontiers in Forests and Global Change,
Journal Year:
2023,
Volume and Issue:
6
Published: March 23, 2023
Published
biogenic
volatile
organic
compound
(BVOC)
emission
rates
of
Norway
spruces
vary
a
lot.
In
this
study
we
combined
published
spruce
measured
in
boreal
forests
and
added
our
new,
unpublished
data
from
Southern
(SF)
Northern
Finland
(NF).
Standardized
summer
monthly
mean
potentials
isoprene
below
the
detection
limit
to
7
μg
g
–1
(dw)
h
,
monoterpene
(MT)
sesquiterpene
(SQT)
0.01–3
0.03–2.7
respectively.
study,
found
much
higher
SQT
emissions
than
previously
measured,
on
average
SQTs
had
or
MTs.
The
highest
potential
13.6
was
observed
September
Finland.
We
that
none
younger
(33–40
years)
trees
Hyytiälä,
Finland,
emitted
isoprene,
while
one
50-year-old
tree
strong
emitter.
difference
due
age
could
not
be
confirmed,
since
all
small
were
growing
so
also
same
genetic
origin.
On
average,
older
(>80
about
ten
times
more
MTs
ones
(<80
years),
but
no
clear
seen
emissions.
can
related
stress
effects.
As
shown
here
for
spruce,
it
is
possible
factor
significantly
what
currently
used
models,
which
may
have
significant
effects
prediction
formation
growth
new
particles,
secondary
aerosol
(SOA)
high,
particles.
Due
high
SQTs,
impact
SOA
mass
even
higher.
Geophysical Research Letters,
Journal Year:
2024,
Volume and Issue:
51(2)
Published: Jan. 21, 2024
Abstract
Warming
climate
in
the
Arctic
is
leading
to
an
increase
isoprene
emission
from
ecosystems.
We
assessed
influence
of
temperature
on
willows
with
laboratory
and
field
measurements.
Our
findings
indicate
that
hourly
response
curve
Salix
spp.,
dominant
emitting
shrub
Arctic,
aligns
temperate
plants.
In
contrast,
capacity
exhibited
a
more
substantial
than
expected
mean
ambient
previous
day,
which
much
stronger
daily
predicted
by
current
version
Model
Emissions
Gases
Aerosols
Nature
(MEGAN).
With
modified
algorithm
this
study,
MEGAN
predicts
66%
higher
emissions
for
during
heatwave.
However,
despite
these
findings,
we
are
still
unable
fully
explain
high
sensitivity
latitude
Atmospheric chemistry and physics,
Journal Year:
2024,
Volume and Issue:
24(13), P. 7481 - 7498
Published: July 2, 2024
Abstract.
Non-methane
volatile
organic
compounds
(NMVOC),
serving
as
crucial
precursors
of
O3,
have
a
significant
impact
on
atmospheric
oxidative
capacity
and
O3
formation.
However,
both
anthropogenic
biogenic
NMVOC
emissions
remain
subject
to
considerable
uncertainty.
Here,
we
extended
the
Regional
multi-Air
Pollutant
Assimilation
System
(RAPAS)
using
ensemble
Kalman
filter
(EnKF)
algorithm
optimize
in
China
August
2022
by
assimilating
TROPOspheric
Monitoring
Instrument
(TROPOMI)
HCHO
retrievals.
We
also
simultaneously
NOx
situ
NO2
observations
address
chemical
feedback
among
VOCs–NOx–O3.
Furthermore,
process-based
analysis
was
employed
quantify
emission
changes
various
reactions
related
formation
depletion.
exhibited
substantial
reduction
50.2
%,
especially
middle
lower
reaches
Yangtze
River,
revealing
prior
overestimation
due
an
extreme
heat
wave.
Compared
forecast
with
emissions,
posterior
significantly
improved
simulations,
reducing
biases
75.7
indicating
notable
decrease
uncertainties.
The
effectively
corrected
forecasts
49.3
%.
This
can
be
primarily
attributed
RO2+NO
reaction
rate
increase
NO2+OH
afternoon,
thus
limiting
generation.
Sensitivity
analyses
emphasized
necessity
considering
for
comprehensive
assessment
chemistry.
study
enhances
our
understanding
effects
production
contribute
development
effective
policies.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(7)
Published: March 28, 2025
Abstract
Isoprene
emissions
from
tropical
plants
under
moderate
conditions
are
more
temperature‐sensitive
than
temperate
and
current
model
predictions.
However,
the
effect
of
extreme
heatwaves
on
this
sensitivity
remains
uncertain.
Here,
we
present
controlled
measurements
isoprene
temperature
responses
for
a
subtropical
eucalyptus
species,
revealing
surprising
shift
during
heatwaves.
During
non‐heatwave
periods,
followed
established
patterns
with
well‐defined
optimum
(
T
opt
);
restricted
plant
physiological
processes,
resulting
in
an
unexpected
decrease
.
Current
models,
which
consider
acclimation
based
long‐term
averages,
failed
to
capture
shift,
predicting
higher
values
Remarkably,
simulations
using
default
curve
that
assumes
no
accurately
replicated
observed
both
heatwave
conditions.
Our
findings
highlight
potential
heat
suppress
regions
need
reconsider
isoprene‐temperature
relationships
future
climate.
Global Change Biology,
Journal Year:
2025,
Volume and Issue:
31(4)
Published: April 1, 2025
ABSTRACT
Persistent
warming
and
higher
frequency
of
heat
waves
in
the
Arctic
are
causing
alterations
vegetation
plant
functionality,
potentially
redefining
role
ecosystem.
Vegetation
influences
atmospheric
composition
through
exchanges
CO
2
volatile
organic
compounds
(VOCs),
both
processes
exhibiting
a
strong
response
to
temperature
variations.
However,
our
quantitative
understanding
how
increased
temperatures
interact
with
extreme
weather
events,
namely
drought,
affect
remains
limited.
Here,
we
measure
phenology,
photosynthesis,
leaf
fluorescence
VOC
emissions
from
three
widely
distributed
shrubs,
Betula
nana
,
Empetrum
hermaphroditum
Salix
spp.,
future
climate.
We
use
state‐of‐the‐art
climate
chambers
test
effects
warmer
growth
on
shrub
responses
drought.
Our
results
show
that
advance
unfolding
by
24
days
B.
17
E.
increase
across
species.
For
photosynthesis
decreased
42%
during
wave
72%
In
contrast,
spp.
experienced
only
62%
71%,
respectively.
The
shifted
toward
less
diverse
compound
profile:
acetaldehyde
for
control
warmed
plants
all
species,
isoprene
Additionally,
grown
at
exhibited
twofold
compared
wave,
suggesting
sensitivity
emissions.
study
indicates
increasingly
frequent
events
will
significantly
impact
diversity
rates
VOCs
emitted
into
atmosphere,
contributing
modifying
regional
Journal of Geophysical Research Biogeosciences,
Journal Year:
2025,
Volume and Issue:
130(5)
Published: May 1, 2025
Abstract
Isoprene
is
a
reactive
hydrocarbon
emitted
to
the
atmosphere
in
large
quantities
by
terrestrial
vegetation.
Annual
total
isoprene
emissions
exceed
300
Tg
−1
,
but
emission
rates
vary
widely
among
plant
species
and
are
sensitive
meteorological
environmental
conditions
including
temperature,
sunlight,
soil
moisture.
Due
its
high
reactivity,
has
impact
on
air
quality
climate
pollutants
such
as
ozone
aerosols.
It
also
an
important
sink
for
hydroxyl
radical
which
impacts
lifetime
of
greenhouse
gas
methane
along
with
many
other
trace
species.
Modeling
atmospheric
chemistry
requires
accurate
estimates.
These
can
be
obtained
using
empirical
Model
Emissions
Gases
Aerosols
from
Nature
(MEGAN),
parameterization
this
model
uncertain
due
part
limited
field
observations.
In
study,
we
use
ground‐based
measurements
concentrations
fluxes
11
sites
assess
variability
temperature
response
across
ecosystems.
We
then
these
observations
Metropolis‐Hastings
Markov
Chain
Monte
Carlo
(MHMCMC)
data
assimilation
framework
optimize
MEGAN
function.
find
that
performance
significantly
improved
at
several
high‐latitude
increasing
modeled
sensitivity
past
temperatures.
At
some
sites,
optimized
was
nearly
four
times
more
than
unoptimized
model.
This
implications
modeling
warming
climate.