Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 28, 2025
Heat
accumulation
and
spring
freeze,
both
strongly
influenced
by
snow
cover,
are
key
factors
regulating
the
onset
of
phenology.
In
forest
ecosystems,
decreased
cover
due
to
climate
change
may
differently
impact
heat
occurrence
freezes
between
canopy
gap
under
tree
canopy,
leading
varied
phenological
responses.
this
study,
we
examined
how
phenology
seedling
responds
across
microsites
explored
whether
these
responses
species-specific.
We
conducted
a
manipulation
experiment
in
planted
northern
Hokkaido,
Japan,
establishing
five
areas,
each
with
control
removal
plot.
Four
dominant
species
were
Snow
significantly
advanced
budburst
leaf-out
microsites,
more
pronounced
effect
observed
gap.
Moreover,
all
four
gap,
whereas
only
Abies
sachalinensis
showed
earlier
canopy.
Overall,
our
study
demonstrated
that
projected
winter
warming
led
greater
advancement
seedlings
compared
species-specific
Climate
change
is
shifting
the
growing
seasons
of
plants,
affecting
species
performance
and
biogeochemical
cycles.
Yet
how
timing
autumn
leaf
senescence
in
Northern
Hemisphere
forests
will
remains
uncertain.
Using
satellite,
ground,
carbon
flux,
experimental
data,
we
show
that
early-season
late-season
warming
have
opposite
effects
on
senescence,
with
a
reversal
occurring
after
year's
longest
day
(the
summer
solstice).
Across
84%
northern
forest
area,
increased
temperature
vegetation
activity
before
solstice
led
to
an
earlier
onset
of,
average,
1.9
±
0.1
days
per
°C,
whereas
warmer
post-solstice
temperatures
extended
duration
by
2.6
°C.
The
current
trajectories
toward
slowed
progression
affect
Hemisphere-wide
trends
growing-season
length
productivity.
Journal of Ecology,
Год журнала:
2022,
Номер
110(9), С. 1996 - 2014
Опубликована: Июнь 30, 2022
Abstract
Surface
temperatures
are
mechanistically
linked
to
vegetation
biophysical
and
physiological
processes.
Although
remote
sensing
in
the
thermal
infrared
(TIR)
domain
can
offer
novel
insights
into
impacts
of
changing
surface
on
vegetation,
transformative
potential
for
plant
ecology
has
not
yet
been
realized.
Remotely
sensed
be
used
derive
stomatal
behaviour
identify
stressful
environmental
conditions
near‐real
time.
Plant
species,
traits
structural
characteristics
evaluated
with
high
spectral
resolution
TIR
emissivity.
Beyond
canopy
scales,
enhance
inferences
obtained
from
manipulative
experiments
empirical
evidence,
providing
unique
insight
shifts
species
ranges
phenology
climate
conditions.
Scaling
leaf
traits,
structure
regional
patterns
require
an
integrated
understanding
both
process
technology.
Theory
linking
dynamics
is
summarized
energy
balance
perspective.
We
outline
scaling
considerations
including
morphology
balance,
influences
convective
heat
exchange
confounding
non‐vegetated
surfaces.
Synthesis
.
introduce
a
unifying
framework
link
globe
through
sensing.
Recent
emerging
advances
sensors,
data
availability
analytics,
together
synergies
between
other
sources,
present
timely
opportunity
ecologists
advance
our
physiology,
biogeography
Global Ecology and Biogeography,
Год журнала:
2021,
Номер
30(12), С. 2477 - 2487
Опубликована: Сен. 24, 2021
Abstract
Aim
Ongoing
climate
warming
has
been
widely
reported
to
delay
autumn
phenology,
which
in
turn
impacts
carbon,
water,
energy
and
nutrient
balances
at
regional
global
scales.
However,
the
underlying
mechanisms
of
phenology
responses
change
have
not
fully
elucidated.
The
aims
this
study
were
determine
whether
brightening
that
was
defined
as
increase
surface
solar
radiation
during
recent
decades
affect
opposite
directions
explore
mechanisms.
Location
Central
Europe.
Time
period
1950–2016.
Major
taxa
studied
Four
dominant
European
tree
species
central
Europe:
Aesculus
hippocastanum
,
Betula
pendula
Fagus
sylvatica
Quercus
robur
.
Methods
We
investigated
temporal
trends
leaf
senescence,
preseason
temperature
by
separating
1950–2016
into
two
sub‐periods
(1950–1982
1983–2016)
determined
relationship
between
temperature,
senescence
using
partial
correlation
analysis.
Results
found
a
significant
trend
after
1980s
Europe,
yet
led
only
slight
delays
cannot
be
explained
well‐known
positive
warming.
Interestingly,
we
effects
(partial
coefficient,
r
=
.37)
(
−.23)
on
senescence.
In
addition,
sensitivity
decreased
with
increasing
(−5.08
days/℃/10
8
J/m
2
).
Main
conclusions
results
suggested
accelerated
dates,
counteracting
warming‐induced
may
attributed
photooxidative
stress
and/or
sink
limitation.
This
emphasizes
need
consider
improve
performance
models.
Proceedings of the National Academy of Sciences,
Год журнала:
2022,
Номер
119(19)
Опубликована: Май 2, 2022
Budbreak
is
one
of
the
most
observed
and
studied
phenological
phases
in
perennial
plants,
but
predictions
remain
a
challenge,
largely
due
to
our
poor
understanding
dormancy.
Two
dimensions
exposure
temperature
are
generally
used
model
budbreak:
accumulation
time
spent
at
low
temperatures
(chilling)
heat
units
(forcing).
These
two
effects
have
well-established
negative
correlation;
with
more
chilling,
less
forcing
required
for
budbreak.
Furthermore,
temperate
plant
species
assumed
vary
chilling
requirements
dormancy
completion
allowing
proper
Here,
investigated
from
cold
hardiness
standpoint
across
many
species,
demonstrating
that
it
should
be
accounted
study
accurately
predict
Most
lost
prior
budbreak,
rates
loss
(deacclimation)
among
leading
different
times
Within
deacclimation
rate
increases
chill.
When
inherent
differences
between
by
normalizing
throughout
winter
maximum
observed,
standardized
potential
produced.
Deacclimation
quantitative
measurement
progression
based
on
responsiveness
as
chill
accumulates,
which
similarly
all
contradicting
estimations
transition
budbreak
assays.
This
finding
indicates
comparisons
physiologic
genetic
control
require
an
dynamics.
Thus,
updated
framework
studying
its
spring
phenology
suggested
where
lieu
(or
addition
to)
used.
Environmental Research Letters,
Год журнала:
2024,
Номер
19(7), С. 073008 - 073008
Опубликована: Июль 1, 2024
Abstract
Vegetation
plays
an
essential
role
in
regulating
carbon
and
water
cycles,
e.g.
by
taking
up
atmospheric
CO
2
through
photosynthesis
transferring
soil
to
the
atmosphere
transpiration.
function
is
shaped
its
structure
physiology:
vegetation
determined
amount
of
materials
for
plants
how
it
organised
space
time,
while
physiology
controls
instantaneous
response
environmental
conditions.
Recognizing
disentangling
these
aspects
key
understanding
predicting
terrestrial
biosphere
global
change.
This
now
possible,
as
comprehensive
measurements
from
Earth
observations,
both
satellites
ground,
provide
invaluable
data
information.
review
introduces
describes
physiology,
summarises,
compares,
contextualises
recent
literature
illustrate
state
art
monitoring
dynamics,
quantifying
large-scale
investigating
regulation
on
changes
fluxes.
includes
results
remote
sensing,
in-situ
measurements,
model
simulations,
used
either
study
change,
or
feedback
cycles.
We
find
that
observation-based
work
underrepresented
compared
with
model-based
studies.
therefore
advocate
further
make
better
use
sensing
they
promote
dynamics
a
fundamental
data-driven
perspective.
highlight
usefulness
novel
increasing
satellite
comprehensively
investigate
structural
physiological
scale,
infer
their
influence
land
sink
evaporation.
argue
field
campaigns
can
should
complement
analyses
together
fine
spatio-temporal
resolution
relevant
ecosystem-scale
processes.
Functional Ecology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 9, 2025
Abstract
The
concept
of
growing
degree
days
(GDDs)
is
commonly
used
to
predict
phenological
events
in
plants,
assuming
that
plants
develop
proportionally
the
accumulated
temperature.
Two
species‐specific
parameters,
T
Base
and
t
0
(minimum
temperature
above
which
start
date
when
GDDs
begin
accumulate),
are
considered
for
calculation.
However,
optimised
thresholds
wild
herbaceous
species
remain
sparse,
therefore
reliability
models
questionable.
By
employing
several
modelling
approaches
using
records
leaf
unfolding
flowering
onset
87
collected
six
European
botanical
gardens
between
2019
2024,
we
assessed
GDD
across
a
diverse
array
species.
We
further
examined
whether
calculating
can
be
large
set
single
aimed
estimate
evaluate
these
species'
temporal
niche
bud
traits
see
specific
groups
species,
work
better.
Our
analyses
revealed
performed
better
than
null
model
(i.e.
mean
years
species)
84%
70%
respectively.
results
showed
with
intermediate
niches
were
less
dependent
on
selection
.
Overall,
found
performance
around
4°C
most
considering
thresholds,
predictions
dates
more
accurate
early‐growing
regarding
accumulation,
larger
values
suitable
later
or
onset.
emphasise
simple
accumulating
by
studied
approximate
underlying
parameters
applying
valid
many
use
but
advantageous
small
datasets
would
otherwise
overfitted
complex
models.
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