Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(21), P. 4024 - 4024
Published: Oct. 29, 2024
This
paper
explores
the
optimal
temperature
change
in
normalized
difference
vegetation
index
(NDVI)
growth
Huang-Huai-Hai
Plain
under
background
of
climate
change,
aiming
to
better
cope
with
impact
global
warming
on
growth.
The
temporal
and
spatial
variation
characteristics
NDVI
factors
were
analyzed
by
using
NDVI,
average
(Tavg),
maximum
(Tmax)
minimum
(Tmin)
datasets
from
1982
2020.
Through
Buishand
U
test
sliding
slope
detection,
1998
was
determined
be
a
year
abrupt
change.
Furthermore,
SHAP
important
feature
analysis,
generalized
additive
model,
correlation
other
methods
used
identify
trend
optimum
before
after
results
showed
that
(1)
2020,
Tavg,
Tmax,
Tmin,
significant
upward
trend.
At
same
time,
distribution
these
indicators
shows
high
south
low
north.
(2)
positively
correlated
Tmin
most
significant.
(3)
suitable
intervals
for
20~30
°C,
25~35
16~25
respectively.
(4)
range
expanded
rates
Tavg
Tmax
lower
limits
reached
24%
25%,
respectively,
best
condition
(5)
After
increased
significantly
northern
part
plain
but
decreased
slightly
southern
part.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
82, P. 102769 - 102769
Published: Aug. 11, 2024
Desertification
is
one
of
the
most
significant
environmental
and
social
challenges
globally.
Monitoring
desertification
dynamics
quantitatively
identifying
contributions
its
driving
factors
are
crucial
for
land
restoration
sustainable
development.
This
study
develops
a
standardized
methodological
framework
that
combines
with
mechanisms
at
pixel
level,
applied
to
northern
China
from
2000
2020.
Using
multisource
data
employing
Time
Series
Segmentation
Residual
Trend
analysis
(TSS-RESTREND)
method
alongside
geographical
detector,
we
assessed
reversion,
expansion,
abrupt
change
processes,
along
impacts
interactions
natural
human
were
assessed.
Over
past
two
decades,
proportion
desertified
decreased
by
5.60%.
Notably,
32.88%
area
experienced
while
only
5.86%
underwent
expansion.
Abrupt
changes
in
both
reversed
expanding
areas
observed,
primarily
central
western
regions,
these
concentrated
periods
2009–2011
2014–2016.
The
various
different
sub-regions
exhibited
spatial
heterogeneity.
Increased
precipitation,
temperature,
evapotranspiration
contributed
reversion
area,
wind
speed
influenced
eastern
area.
Additionally,
population
density
afforestation
activities
also
promoted
reversion.
In
contrast,
precipitation
increased
temperature
expansion
areas,
respectively,
exacerbating
this
process.
Overall,
between
enhanced.
Future
control
ecological
engineering
planning
should
focus
on
coupling
effects
relevant
vegetation
changes.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
ABSTRACT
Ophiocordyceps
sinensis
is
a
vital
and
unique
traditional
medicine
native
to
the
Tibetan
Plateau
(TP)
its
adjacent
regions.
Its
habitat
has
significantly
diminished
in
recent
years
due
commercial
harvesting
climate
change.
Although
studies
on
of
O.
have
been
conducted,
impact
change
future
economy
remains
unclear.
This
study
utilizes
comprehensive
dataset
occurrences
employs
multi‐model
approach
(constructed
by
Classification
Tree
Analysis
[CTA],
Flexible
Discriminant
[FDA],
Generalized
Boosted
Model
[GBM],
Linear
Models
[GLM],
Multivariate
Adaptive
Regression
Splines
[MARS],
Random
Forest
[RF],
MaxEnt
models)
simulate
potential
suitable
distribution
TP
under
current
scenarios
(SSP1‐2.6
SSP5‐8.5).
Through
this
modeling
process,
we
examined
primary
environmental
factors
influencing
distribution.
Our
results
indicated
that
China
produces
91.9%
world's
,
with
over
82%
production
concentrated
Sichuan,
Tibet,
Qinghai
Provinces.
Altitude,
warmest
quarter
precipitation,
coldest
mean
temperature,
herbaceous
vegetation
cover
accounted
for
90%
variation
.
The
was
primarily
at
altitudes
3500–4500
m
above
sea
level
expected
shift
higher
future.
predicted
habitats
different
emission
vary.
Under
low
scenario
(SSP1‐2.6),
there
slight
increase
habitat,
0.14%
2050s
0.65%
2100s.
Conversely,
high
(SSP5‐8.5),
notable
decrease
projected
4.32%
reduction
5.34%
Additionally,
0.2%–5.2%
SSP1‐2.6
0.5%–7.2%
SSP5‐8.5
main
areas
China.
These
findings
provide
theoretical
basis
conservation
sustainable
harvest
which
crucial
efforts,
maintaining
ecological
balance,
supporting
socio‐economic
development
local
communities.
Forests,
Journal Year:
2024,
Volume and Issue:
15(12), P. 2188 - 2188
Published: Dec. 12, 2024
This
study
assesses
the
impact
of
climate
change
and
human
activities
on
vegetation
dynamics
(kNDVI)
Qinghai-Tibet
Plateau
(QTP)
between
2000
2022,
considering
both
lag
cumulative
effects.
Given
QTP’s
high
sensitivity
to
activities,
it
is
imperative
understand
their
effects
for
sustainable
development
regional
national
terrestrial
ecosystems.
Using
MOD13Q1
NDVI
activity
data,
we
applied
methods
such
as
Sen-MK,
effect
analysis,
improved
residual
geographical
detector
analysis.
The
outcomes
were
follows.
(1)
kNDVI
QTP
showed
an
overall
fluctuating
growth
trend
2022;
regions
more
significant
than
degraded
regions,
with
primarily
distributed
in
humid
semi-humid
areas
favorable
conditions,
arid
semi-arid
areas;
this
implies
that
conditions
have
a
changes
QTP.
(2)
analysis
revealed
temperature
precipitation
substantial
0
months
1
month
temperature,
2
precipitation,
respectively.
(3)
Improved
based
positively
contributed
66%
QTP,
suggesting
notable
positive
activities.
Geographical
indicated
that,
among
different
factors
affecting
changes,
explanatory
power
2005
2015
ranked
X3
(livestock
density)
>
X1
(population
X2
(per
capita
GDP)
X4
(artificial
afforestation
X5
(land
use
type),
2020,
X2.
density
land
type
has
relatively
increased,
indicating
recent
efforts
ecological
protection
restoration
including
developing
artificial
forest
programs,
considerably
greening.
