Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 2, 2023
Abstract
The
frequency
and
intensity
of
wildfires
in
recent
decades
have
reached
unprecedented
levels
1-3
,
raising
questions
about
the
role
vegetation
phenology
driving
these
changes.
By
examining
both
terrestrial
fire
perimeters
satellite
observations,
we
found
that
an
earlier
peak
photosynthesis
timing
(PPT)
contributes
to
acceleration
wildfire
outbreaks
expansion
burned
areas
across
Northern
Hemisphere.
This
correlation
can
be
attributed
intensified
drought
conditions
increased
leaf
supply
resulting
from
senescence.
We
further
show
current
fire-vegetation
models
are
capable
reproducing
negative
between
PPT
area,
but
they
significantly
underestimate
strength
this
relationship.
Our
findings
provide
valuable
insights
for
enhancing
early
detection
prediction
methods
by
considering
feedback
effects
on
risk.
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(3)
Published: March 1, 2025
Abstract
Spring
vegetation
phenology
(green‐up
onset
date,
GUD)
exhibits
notable
sensitivity
to
climate
change,
serving
as
a
critical
indicator
of
ecosystem
dynamics.
However,
long‐term
changes
and
drivers
GUD
remain
unclear.
Here
we
showed
that
satellite‐derived
averaged
over
China
forests
grasslands
advanced
by
−1.3
±
0.4
(mean
SD)
days
decade
−1
during
1982–2022,
but
with
contrasting
trends
between
(−5.0
0.6
)
(2.8
),
despite
similarly
increasing
temperature
precipitation.
Such
were
caused
different
responses
higher
preseason
mean
more
total
Moreover,
sensitivities
precipitation
patterns
respect
spatial
gradient
background
conditions
grasslands.
Our
study
elucidates
mechanisms
behind
responding
which
could
help
optimize
land‐management
strategies
anticipate
distribution
under
change.
Plants,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1254 - 1254
Published: April 30, 2024
During
the
period
preceding
vegetation
growing
season
(GS),
temperature
emerges
as
pivotal
factor
determining
phenology
in
northern
terrestrial
ecosystems.
Despite
extensive
research
on
impact
of
daily
mean
(T
As
the
largest
terrestrial
ecosystem
globally,
grasslands
and
their
Gross
Primary
Productivity
(GPP)
play
a
critical
role
in
global
carbon
cycle,
influenced
by
environmental
changes
human
activities.
This
study
classifies
into
multiple
types,
uses
trend
analysis
to
investigate
temporal
spatial
of
GPP
for
various
grassland
types
from
2010
2020,
extracts
approximately
940,000
pixel
data
identify
evaluate
factors
using
best
prediction
model
PLS-PM
structural
equation
model.
The
results
indicate
that
shows
an
increasing
trend,
concentrated
mid-
low-latitude
regions,
with
differences
between
hemispheres.
Woody
Savannas
have
highest
mean
GPP,
while
Grasslands
lowest.
At
low
altitudes,
peaks,
reaching
maximum
elevations
at
4580
m
4950
m,
respectively,
persist
higher
altitudes
lowest
GPP.
Climate
soil
hydrology
contributed
most
significantly
accounting
62.11%-77.95%,
showing
contribution
(71.63%).
Within
climate
factors,
actual
evapotranspiration,
volumetric
water
layer,
fraction
photosynthetically
active
radiation,
temperature
had
significant
positive
impacts
on
CO2
concentration
activities
smaller
direct
contributions,
primarily
influencing
indirectly.
Topographic
least.
These
findings
reveal
dominant
highlight
differing
growth
trends
among
providing
insights
responses
change
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(6), P. 1025 - 1025
Published: March 15, 2025
Autumn
phenology
plays
a
crucial
role
in
shaping
the
capacity
for
carbon
sequestration.
However,
understories,
vital
yet
often
neglected
ecosystem
component,
have
complicated
autumn
prediction.
We
address
challenge
of
monitoring
understory
phenological
dynamics
by
using
UVL4
trail
camera
and
selecting
appropriate
deriving
processes
vegetation
indices
(VIs).
found
photoperiod
was
on
average
1.88
h
shorter
than
canopy’s,
while
temperature
2.11
°C
higher
canopy’s
open-air
temperature.
The
maximum
inside
understories
1.37
lower
conditions.
Specifically,
60%
quantile
daily
VI
July
15%
November
effectively
captured
prolonged
minimum
time
series
when
applying
logistic
modeling.
excess
green
index
(ExG)
outperformed
other
VIs
estimating
greenness
change.
cold
degree
days
model
(CDD)
low-temperature
multiplicative
(TPM)
revealed
that
senescence
progressed
from
upper
crown
downwards,
causing
over
13
lag
understory.
These
findings
offer
new
perspective
quantifying
subtropical
forests
provide
insights
into
asynchronous
changes
vertical
microclimatic
gradients
Earth
system
models.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(7), P. 2214 - 2214
Published: April 1, 2025
Water
use
efficiency
(WUE)
connects
two
key
processes
in
terrestrial
ecosystems:
the
carbon
and
water
cycles.
Thus,
it
is
important
to
evaluate
temporal
spatial
changes
WUE
over
a
prolonged
period.
The
spatiotemporal
variation
characteristics
of
Mongolian
Plateau
from
1982
2018
were
analyzed
based
on
net
primary
productivity
(NPP),
evapotranspiration
(ET),
temperature,
precipitation,
soil
moisture.
In
this
study,
we
used
remote
sensing
data
various
statistical
methods
patterns
their
potential
influencing
factors
2018.
total,
27.02%
region
witnessed
significant
decline
annual
37
years.
Two
abnormal
surges
WUESeason
(April-October)
detected,
1997
1998
2007
2009.
trend
some
broadleaf
forest
areas
middle
northeast
reversed
original
decreasing
an
increasing
trend.
has
shown
strong
resilience
previous
analytical
studies,
whereas
artificial
vegetation
area
showed
weak
resilience.
had
positive
correlation
with
moisture,
drought
severity
index
(DSI)
but
temperature.
resistance
disturbances;
however,
its
effects
temperature
DSI
anomalies
was
weak.
degree
interpretation
for
higher
than
that
meteorological
factors,
normalized
difference
(NDVI)
disturbances.
Delaying
start
growing
season
effect
WUE,
interaction
between
phenological
non-linear
enhancing
WUE.
Human
activities
have
contributed
significantly
increase
eastern,
central,
southern
regions
Plateau.
These
results
provide
reference
study
carbon-water
cycle
