Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(12), P. 2909 - 2909
Published: June 17, 2022
Vegetation
phenology
is
an
important
indicator
of
vegetation
dynamics.
The
boreal
forest
ecosystem
the
main
part
terrestrial
in
Northern
Hemisphere
and
plays
role
global
carbon
balance.
In
this
study,
dynamic
threshold
method
combined
with
ground-based
observation
data
was
applied
to
extract
phenological
parameters
from
MODIS
NDVI
time-series.
Then,
spatiotemporal
variation
discussed
relationship
between
change
climatic
factors
concluded
northeast
China
2011
2020.
results
indicated
that
distribution
optimal
extraction
has
spatial
heterogeneity,
changing
rate
3%
2%
1°
increase
latitude
for
SOS
(the
start
growing
season)
EOS
end
season).
This
research
also
notes
had
advanced
trend
at
a
0.29
d/a
while
delayed
by
0.47
d/a.
varied
different
types.
We
found
preseason
temperature
played
major
effecting
phenology.
winter
previous
year
significant
effect
on
current
year.
Temperature
autumn
EOS.
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(6), P. 1396 - 1396
Published: March 14, 2022
Due
to
the
complex
coupling
between
phenology
and
climatic
factors,
influence
mechanism
of
climate,
especially
preseason
temperature
precipitation,
on
vegetation
is
still
unclear.
In
present
study,
we
explored
long-term
trends
phenological
parameters
different
types
in
China
north
30°N
from
1982
2014
their
comprehensive
responses
precipitation.
Simultaneously,
annual
double-season
stages
were
considered.
Results
show
that
satellite-based
data
corresponding
with
ground-based
data.
Our
analyses
confirmed
has
a
strong
controlling
effect
phenology.
The
start
date
growing
season
(SOS)
had
significant
advanced
trend
for
13.5%
study
area,
end
(EOS)
showed
delayed
23.1%
area.
impact
precipitation
EOS
was
overall
stronger
than
SOS,
responses.
Compared
other
types,
SOS
crops
greatly
affected
by
human
activities
while
less
impact.
This
will
help
us
make
scientific
decision
tackle
global
climate
change
regulate
ecological
engineering.
Forests,
Journal Year:
2019,
Volume and Issue:
10(11), P. 1007 - 1007
Published: Nov. 11, 2019
Forest
ecosystems
in
an
ecotone
and
their
dynamics
to
climate
change
are
growing
ecological
environmental
concerns.
Phenology
is
one
of
the
most
critical
biological
indicators
impacts
on
forest
dynamics.
In
this
study,
we
estimated
visualized
spatiotemporal
patterns
phenology
from
2001
2017
Qinling
Mountains
(QMs)
based
enhanced
vegetation
index
(EVI)
MODerate-resolution
Imaging
Spectroradiometer
(MODIS).
We
further
analyzed
data
reveal
topography
start
season
(SOS),
end
(EOS),
length
(LOS).
Our
results
showed
that
metrics
were
very
sensitive
changes
elevation,
with
a
2.4
days
delayed
SOS,
1.4
advanced
EOS,
3.8
shortened
LOS
for
every
100
m
increase
altitude.
During
study
period,
average,
SOS
by
0.13
year−1,
EOS
was
0.22
increased
0.35
day
year−1.
The
phenological
speed
across
different
elevation
not
consistent.
elevation-induced
slightly
shift
reached
maximum
value
1500
2017.
sensitivity
preseason
temperature
displays
1
°C
regionally
averaged
would
advance
average
1.23
delay
0.72
days,
respectively.
This
improved
our
understanding
recent
variability
mountain
ecotones
explored
correlation
between
variables
context
ongoing
warming.
Global Ecology and Biogeography,
Journal Year:
2023,
Volume and Issue:
32(4), P. 603 - 617
Published: Feb. 19, 2023
Abstract
Aims
Shifts
in
xylem
phenology
directly
determine
the
forest
capacity
for
carbon
sequestration.
However,
a
systematic
understanding
of
spatial
patterns
and
underpinning
drivers
determining
cessation
wood
formation
(
C
cw
)
is
lacking
at
pan‐continental
scale.
Here,
we
addressed
this
knowledge
gap
by
compiling
new
dataset
multiple
timings
northern
conifers.
Locations
Sixty‐two
study
sites,
Northern
Hemisphere
(25–55°
N).
Time
period
2003–2018
(16
years).
Taxa
Thirty‐three
conifer
species.
Methods
A
generalized
additive
model
was
fitted
to
characterize
latitudinal
pattern
.
Structural
equation
modelling
linear
mixed‐effects
were
applied
main
underlying
Results
The
followed
flat
S‐shaped
with
increasing
latitude.
Photoperiod
dominant
determinant
,
longer
photoperiod
associated
an
earlier
Both
mean
growing‐season
temperature
total
precipitation
exhibited
significantly
positive
relationships
cell
elongation
thus
across
all
sites.
In
arid
regions,
pre‐growing‐season
had
negative
effect
on
humid
positively
affected
temperature.
onset
showed
coupling
sites
but
not
Early
successional
species
sensitive
hydrothermal
variations
during
pre‐growing
season.
Main
conclusions
We
reveal
role
conifers
highlight
differentiated
interactive
effects
between
seasonal
climatic
factors
preceding
phenophases
among
ecoregions
tree
These
insights
provide
evidence
reduce
uncertainty
prediction
uptake
potential
consequent
biophysical
feedbacks
forests.