Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(22), P. 4234 - 4234
Published: Nov. 14, 2024
The
ecosystem’s
gross
primary
productivity
(GPP)
and
greenness,
as
indicated
by
the
normalized
difference
vegetation
index
(NDVI),
are
both
essential
ecological
indicators
used
to
evaluate
how
ecosystems
responded
climate
variability.
However,
relationships
between
NDVI
GPP
under
influence
of
drying
wetting
its
characteristics
along
aridity
(AI)
gradients
were
not
yet
fully
understood.
In
this
study,
we
investigated
NDVI-GPP
(i.e.,
strength
coupling
sensitivity,
quantified
coefficient
determination
(R2)
slope
linear
regression,
respectively)
during
growing
season
from
1982
2018
in
China.
results
show
that
was
stronger
high
R2)
semi-arid
regions
(0.24)
compared
humid
hyper-humid
(R2
values
0.11).
For
different
plant
functional
types
(PFTs),
decoupling
occurred
ENF
with
a
value
0.04,
whereas
GRA
shows
higher
an
R2
0.20.
trend
experienced
shift
regions,
characterized
ranging
0.20
0.50.
Additionally,
sensitivity
also
decreased
increasing
aridity.
0.19,
0.21,
0.24,
0.20,
0.11,
0.11
hyper-arid,
arid,
semi-arid,
dry
sub-humid,
humid,
hyper-humid,
respectively.
What
is
more,
asynchronous
changes
greenness
can
be
detected
capturing
inter-annual
variability
(IAV)
GPP.
IAV
steadily
gradients,
while
present
fluctuated,
suggesting
more
variable
than
conditions.
Our
study
suggests
there
may
trade-off
ecosystem
photosynthesis
areas.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
164, P. 112125 - 112125
Published: May 23, 2024
Drought
has
exerted
significant
impacts
on
terrestrial
ecosystems
and
reduction
in
vegetation
biomass
through
its
unfavorable
effects
growth
status,
directly
causing
the
degradation
death
of
vegetation.
Therefore,
investigating
response
mechanisms
various
types
to
drought
is
great
importance
for
resource
conservation
sustainable
development.
In
this
study,
based
Vegetation
Health
Index
(VHI)
Standardized
Precipitation
Evapotranspiration
(SPEI),
dynamic
changes
relationships
were
revealed
between
Inner
Mongolia
(IM)
during
1982–2020.
Additionally,
fluctuation
patterns
events
identified.
The
results
demonstrated
that:
(1)
probability
seasonal
change
point
occurrence
VHI
was
62.73
%
April
2018,
with
a
confidence
interval
ranging
from
March
2014
May
2019;
(2)
identified
optimal
copula
model
Gaussian-copula
duration
severity
IM;
(3)
maximum
minimum
percentages
degraded
IM
occurred
January
(74.32
%)
October
(53.86
%);
(4)
cumulative
lag-time
varied
among
different
sub-regions,
times
4
5
months.
This
finding
provide
new
perspective
elucidating
impact
variations
dynamics,
which
have
positive
implications
protection
ecological
environment
management.
Water,
Journal Year:
2025,
Volume and Issue:
17(3), P. 382 - 382
Published: Jan. 30, 2025
Drought,
as
an
extreme
climatic
event,
is
considered
one
of
the
most
severe
natural
disasters
worldwide.
In
Northeast
Asia,
frequency
and
intensity
drought
have
been
exacerbated
by
climate
change,
causing
significant
negative
impacts
on
region’s
socioeconomic
conditions
agricultural
production.
This
study
analyzed
spatiotemporal
evolution
trends
in
transboundary
river
basins
Asia
from
1990
to
2020,
using
meteorological
station
data
remote
sensing
data.
The
Standardized
Precipitation
Evapotranspiration
Index
(SPEI)
Vegetation
Condition
(VCI)
were
employed
assess
characteristics,
a
comprehensive
analysis
SPEI
VCI
indices
was
conducted
evaluate
severity
under
different
land
cover
types.
results
indicate
that
(1)
past
two
decades,
both
shown
increasing
trend
basin,
with
moderate
mild
droughts
being
predominant.
(2)
High
mainly
occur
forest
areas,
accounting
for
17.91%
10.76%,
respectively,
followed
farmland.
