Remote Sensing,
Год журнала:
2024,
Номер
16(19), С. 3552 - 3552
Опубликована: Сен. 24, 2024
In
recent
decades,
drought
has
intensified
along
with
continuous
global
warming,
significantly
impacting
terrestrial
vegetation.
High
atmospheric
water
demand,
indicated
by
vapor
pressure
deficit
(VPD),
and
insufficient
soil
moisture
(SM)
are
considered
the
primary
factors
causing
stress
in
However,
influences
of
VPD
SM
on
autumn
phenology
still
unknown.
Using
satellite
observations
meteorological
data,
we
examined
impacts
end
growing
season
(EOS)
across
Northern
Hemisphere
(>30°N)
from
1982
to
2022.
We
found
that
were
as
important
temperature,
precipitation,
radiation
controlling
variations
EOS.
Moreover,
EOS
was
predominantly
influenced
or
more
than
one-third
(33.8%)
study
area.
particular,
a
ridge
regression
analysis
sensitive
other
climatic
factors,
25%
pixels
showing
highest
sensitivity
VPD.
addition,
effects
varied
among
biome
types
climate
zones.
advanced
25.8%
temperate
grasslands,
while
had
greatest
impact
advancing
17.7%
coniferous
forests.
Additionally,
27.7%
midlatitude
steppe
(BSk)
exhibited
significant
negative
correlation
between
EOS,
19.4%
marine
west
coast
(Cfb)
showed
positive
also
demonstrated
linearly
affected
leaf
area
index,
SM,
index.
Our
highlights
importance
regulating
enhances
our
understanding
ecosystem
responses
change.
Environmental Research Letters,
Год журнала:
2025,
Номер
20(2), С. 024033 - 024033
Опубликована: Янв. 24, 2025
Abstract
Interannual
variability
(IAV)
of
terrestrial
carbon
uptake
is
a
major
contributor
to
the
variation
atmospheric
CO
2
.
With
influence
East
Asian
monsoon,
future
climate
would
significantly
increase
in
China.
However,
how
these
changes
will
modulate
IAV
China’s
sinks
remains
unclear.
Here,
we
analyzed
net
ecosystem
productivity
(NEP
)
and
investigated
potential
impacts
change
under
various
scenarios
during
21st
century
using
outputs
from
nine
Coupled
Model
Intercomparison
Project
Phase
6
models.
The
results
reveal
that
NEP
be
enhanced
higher
emissions
2015
2100.
standard
deviation
national
SSP585
scenario
rises
by
12%
compared
with
SSP126.
most
prominent
contribution
this
enhancement
total
comes
larger
summer
(10%),
particularly
subtropical–tropical
monsoonal
zone
Moreover,
largely
attributed
intensified
temperature
precipitation
zones
as
well
heightened
sensitivity
them,
especially
ecosystems
zone.
Compared
precipitation,
also
plays
an
important
role
scenarios.
Our
highlight
crucial
fluctuations
monsoon
systems
on
sink
urgency
reducing
uncertainties
Earth
system
models
predicting
both
regions
responses
cycling
processes
temperature.
Carbon Balance and Management,
Год журнала:
2025,
Номер
20(1)
Опубликована: Май 15, 2025
Vegetation
is
crucial
in
carbon
sequestration,
as
it
stores
soil
and
biomass.
However,
agricultural
droughts
significantly
reduce
vegetation
growth,
directly
impacting
the
amount
of
sequestered
through
photosynthesis.
This
study
investigates
effects
drought
on
emissions
across
four
sub-regions
China,
Northwest
North
Qinghai-Tibet
region,
South
from
2001
to
2020.
Three
remote
sensing-based
indices,
Moisture
Anomaly
Index
(MAI),
(VAI),
Temperature
(TAI)
were
used
for
monitoring.
Advanced
statistical
techniques
employed
explore
relationship
between
these
indices
emissions,
including
auto-correlation
spatial
cross-correlation.
The
results
indicate
that
temporal
variations
exhibit
distinct
regional
patterns.
Among
VAI
demonstrated
strongest
correlation
with
values
ranging
r
=
0.56
0.76.
Carbon
varied
regions,
highest
recorded
followed
by
regions.
Spatial
cross-correlation
analysis
revealed
positive
(r
>
0.5)
was
observed
whereas
a
moderate
found
MAI
China.
ranged
-0.6
0.8.
TAI
exhibited
negative
correlations
China
northeast
These
findings
provide
valuable
insights
mitigating
drought-induced
promoting
sustainable
land
management
practices.
Water Resources Research,
Год журнала:
2025,
Номер
61(5)
Опубликована: Май 1, 2025
Abstract
As
the
planet
warms,
frequency
and
severity
of
weather‐related
hazards
such
as
floods
are
intensifying,
posing
substantial
threats
to
communities
around
globe.
Rising
flood
peaks
volumes
claim
lives,
damage
infrastructure,
compromise
access
essential
services.
However,
physical
mechanisms
behind
global
evolution
still
uncertain,
their
implications
for
socioeconomic
systems
remain
unclear.
In
this
study,
we
leverage
a
supervised
machine
learning
technique
identify
dominant
factors
influencing
daily
streamflow.
We
then
develop
physics‐constrained
cascade
model
chain
which
assimilates
water
heat
transport
processes
project
bivariate
risk
peak
volume,
along
with
its
consequences.
To
achieve
this,
hybrid
deep‐learning‐hydrological
bias‐corrected
outputs
from
20
climate
models
CMIP6
under
four
shared
pathways.
Our
results
considerable
increases
in
medium
high‐end
emission
scenario
(SSP3‐7.0)
over
most
catchments
The
median
future
joint
return
period
decreases
50
years
27.6
years,
186
trillion
USD
4
billion
people
exposed.
Downwelling
shortwave
radiation
is
identified
factor
driving
changes
streamflow,
accelerating
both
terrestrial
evapotranspiration
snowmelt.
scenarios
enhanced
warming
an
increase
precipitation
extremes,
heightened
widespread
flooding
foreseen.
This
study
aims
provide
valuable
insights
policymakers
developing
proactive
strategies
mitigate
risks
associated
river
change.
Environmental Research Letters,
Год журнала:
2024,
Номер
19(8), С. 084013 - 084013
Опубликована: Июль 4, 2024
Abstract
The
Northern
Hemisphere
mid-latitudes,
with
large
human
populations
and
terrestrial
carbon
sinks,
have
a
high
demand
for
dependence
on
water
resources.
Despite
the
growing
interest
in
vegetation
responses
to
drought
under
climate
change
this
region,
our
understanding
of
changes
relationship
between
growth
availability
(referred
as
Rvw)
remains
limited.
Here,
we
aim
explore
Rvw
its
drivers
mid-latitudes
1982
2015.
We
used
satellite-derived
normalized
difference
index
(NDVI)
fine-resolution
Palmer
severity
(PDSI)
proxies
availability,
respectively.
trend
analysis
results
showed
that
NDVI
PDSI
were
asynchronous
over
past
three
decades.
Moreover,
analyzed
spatiotemporal
patterns
correlation
coefficient
PDSI.
indicated
was
getting
closer
more
areas
period,
but
there
differences
across
ecosystems.
Specifically,
most
croplands
grasslands
primarily
constrained
by
deficit,
which
stronger;
however,
forests
surplus,
weaker.
Furthermore,
random
forest
regression
models
dominant
driver
NDVI-PDSI
atmospheric
dioxide
(CO
2
)
than
45%
grid
cells.
In
addition,
partial
demonstrated
elevated
CO
concentrations
not
only
boosted
through
fertilizer
effect
also
indirectly
enhanced
improving
use
efficiency.
Overall,
study
highlights
important
role
mediating
change,
implying
potential
link
greening
risk.