Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(11), P. 2947 - 2947
Published: June 5, 2023
Plant
species
α-diversity
is
closely
correlated
with
ecosystem
structures
and
functions.
However,
whether
climate
change
human
activities
will
reduce
plant
remains
controversial.
In
this
study,
potential
(i.e.,
richness:
SRp,
Shannonp,
Simpsonp
Pieloup)
actual
SRa,
Shannona,
Simpsona
Pieloua)
during
2000–2020
were
quantified
based
on
random
forests
in
grasslands
the
Tibetan
Plateau.
Overall,
had
positive
influences
across
all
grassland
systems.
more
than
one-third
areas
showed
decreasing
trends
for
α-diversity.
Climate
increased
SRp
at
rates
of
0.0060
0.0025
yr−1
alpine
steppes
meadows,
respectively.
Temperature
predominated
variations
Shannonp
Simpsonp,
radiation
Pieloup.
Geography
position,
local
temperature,
precipitation
conditions
regulated
impacts
On
average,
caused
1%
loss
but
elevated
Shannon,
Simpson
Pielou
by
26%,
4%
5%,
There
46.51%,
81.08%,
61.26%
61.10%
showing
effects
richness,
Pielou,
less
48%
increasing
activities’
Human
richness
2%
meadows
decreased
steppes.
Accordingly,
both
not
always
negative
varied
space
types.
The
study
warned
that
may
cause
as
much
expected.
This
also
cautioned
should
be
least
put
same
level
warming
Chinese Science Bulletin (Chinese Version),
Journal Year:
2019,
Volume and Issue:
64(27), P. 2842 - 2855
Published: Aug. 29, 2019
The
Tibetan
Plateau,
also
known
as
the
“third
pole
of
Earth”,
houses
a
diverse
array
alpine-ecosystem
types
and
serves
critical
ecological
security
shield
for
China
even
many
other
regions
Asia.
In
recent
decades,
rapid
climate
change
in
Plateau
has
led
to
profound
changes
structure
functioning
its
ecosystem.
Such
ecosystem
can
not
only
profoundly
impact
environment
high
plateau
itself
but
extend
significant
influence
over
that
surrounding
areas.
With
continuous
growth
data
obtained
via
long-term
situ
monitoring,
manipulative
experiments,
satellite
remote
sensing,
model
simulations,
scientists
have
recently
made
advances
research
on
responses
feedback
Plateau’s
alpine
change.
Aiming
identify
knowledge
gaps
stimulate
future
research,
we
provide
comprehensive
review
past
efforts
understand
how
impacted
ecosystem,
which
turn
provides
climate.
particular,
focus
impacts
including
vegetation
phenology,
treeline
position,
species
biodiversity,
productivity,
carbon
sink,
along
with
involving
regional
hydrology
through
local
teleconnected
biophysical
loops.
A
number
key
findings
emerge
based
cumulative
from
old
wells
researches.
(1)
Climate
warming
during
several
decades
significantly
advanced
spring
phenology
Plateau.
(2)
Further,
shifted
upward
varying
amplitudes
may
been
regulated
by
factors
such
precipitation
interspecific
interactions.
(3)
plant-community
steppe
is
sensitive
change,
considerably
reducing
biodiversity
abundance.
However,
alpine-meadow
diversity
abundance
still
inconclusive.
(4)
Furthermore,
increased
consequently
lead
an
enhanced
sink.
warming-induced
accumulation
higher
meadows
than
steppes.
effect
soil
stock
remains
highly
uncertain
mainly
because
spatial
heterogeneity
properties
lack
information
regarding
deep-layer
processes.
(5)
Warming-induced
greening
overall
cooling
countering
modulates
far-reaching
patterns
East
Asian
monsoon.
modeling
results
suggest
this
trend
increases
South
reduces
region
between
Yellow
Yangtze
Rivers.
Even
progress
study
ecosystem-climate
interaction
remain.
These
opportunities
needs
expand
optimize
observation
networks
improve
understanding
processes
deepen
comprehension
response
acclimation
mechanisms
under
warming.
enhancement
thus
will
important
guidelines
improving
management
safeguarding
Global Change Biology,
Journal Year:
2021,
Volume and Issue:
27(9), P. 1942 - 1951
Published: Feb. 5, 2021
Abstract
Vegetation
productivity
first
increases
and
then
decreases
with
temperature;
temperature
corresponding
to
the
maximum
is
called
optimal
(
T
opt
).
In
this
study,
we
used
satellite
derived
near‐infrared
reflectance
of
vegetation
NIR
v
)
data
map
at
spatial
resolution
0.1°
on
Tibetan
Plateau
(TP),
one
most
sensitive
regions
in
climate
system.
The
average
non‐forest
TP
about
14.7°C,
significantly
lower
than
value
current
ecosystem
models.
A
remarkable
geographical
heterogeneity
observed
over
TP.
Higher
values
generally
appear
north‐eastern
TP,
while
south‐western
has
relatively
(<10°C),
line
difference
conditions
topography
across
different
regions.
Spatially,
tends
decrease
by
0.41°C
per
100
m
increase
elevation,
faster
elevational
elapse
rate
growing
season
temperature,
implying
a
potential
CO
2
regulation
addition
acclimation.
0.66°C
for
each
1°C
rising
mean
annual
as
result
acclimation
change.
However,
least
decadal
scale,
there
no
significant
change
between
2000s
2010s,
suggesting
that
may
not
keep
up
warming
rate.
Finally,
future
(2091–2100)
could
be
close
even
surpass
under
RCP
scenarios
without
considering
Our
analyses
imply
tipping
point
when
impact
shifts
from
positive
negative
greatly
overestimated
Future
research
needs
include
varying
thermal
effects
time
scales
Global Ecology and Conservation,
Journal Year:
2023,
Volume and Issue:
45, P. e02532 - e02532
Published: May 30, 2023
Although
soil
pH
is
an
important
indicator
of
quality,
the
effects
climate
change
and
anthropogenic
activities
on
remain
controversial.
Here,
we
quantified
potential
at
three
depths
(0–10,
10–20,
20–30
cm)
using
annual
temperature
(AT),
precipitation
(AP)
radiation
(ARad),
actual
AT,
AP,
ARad
maximum
normalized
difference
vegetation
index
based
random
forest
models
over
grassland
regions
Tibetan
Plateau
in
2000–2020.
Overall,
caused
alkalinization
0–10
cm,
acidification
10–20
cm.
Under
conditions,
36.84%,
29.87%
23.71%
showed
alkalinization,
whereas
45.52%,
44.49%
21.43%
0–10,
respectively.
Climate
alpine
meadows,
but
steppes.
The
impacts
were
not
always
greater
than
those
warming,
depending
depth,
had
some
exclusive
pH.
more
1/10
acidification.
Anthropogenic
montane
meadows
Therefore,
did
cause
or
alkalization,
varied
with
type
depth.
Both
reconstructed
spatial
distribution
pattern
This
study
also
cautioned
that
impact
should
be
ignored.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
155, P. 111018 - 111018
Published: Oct. 9, 2023
Investigating
the
driving
mechanisms
behind
fluctuations
in
vegetation
net
primary
productivity
(NPP)
has
potential
to
enhance
our
comprehension
of
ecosystem
dynamics
and
their
response
environmental
changes.
However,
identifying
nonlinear
spatiotemporal
heterogeneity
factors
contributing
NPP
variation
remains
a
challenge.
This
research
employed
Theil-Sen
trend,
Hurst
index,
nonparametric
Mann-Kendall
test
methodologies
through
utilization
Google
Earth
Engine
(GEE)
detect
monotonic
trends
NPP,
distinguishing
between
upward
downward
trends.
The
influence
individual
interactive
effects
on
changes
were
quantified
using
optimized
parameter-based
geographical
detector
(OPGD)
model.
findings
revealed
general
trend
exhibiting
an
average
growth
rate
around
85.06
gC
m−2.a-1.
Nevertheless,
these
rates
not
uniform,
leading
noteworthy
spanning
from
447.44
543.69
eastern
central
regions
showcased
relatively
elevated
whereas
western
southern
demonstrated
comparatively
reduced
levels.
Roughly
51.66%
areas
displayed
rising
with
44.81%
entire
area
indicating
increase
(p
<
0.01),
including
both
substantial
0.01)
moderate
(0.01
≤
p
0.05).
witnessing
heightened
predominantly
situated
northeastern,
southeastern,
northwestern
sections,
southwestern
portion
Sichuan.
mild
persistence
or
slight
antipersistence
traits,
where
0
H
0.5
constituting
80.26%
overall
area.
Natural
(such
as
elevation,
mean
annual
temperature,
NDVI,
topographic
relief)
along
human
influences
(changes
land
use
type)
identified
effectively
accounting
for
NPP.
These
synergistic
effect
resulting
enhancement
bilinear
effects.
interaction
two
strengthened
each
factor.
Identifying
optimal
characteristics
ranges
can
facilitate
ecological
conservation
restoration.
exhibited
interplay
separate
element.
Determining
attributes
contribute
facilitation
preservation
restoration
vegetation.
