Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(21), P. 4054 - 4054
Published: Oct. 31, 2024
Net
primary
production
(NPP)
serves
as
a
critical
proxy
for
monitoring
changes
in
the
global
capacity
vegetation
carbon
sequestration.
The
assessment
of
factors
(i.e.,
human
activities
and
climate
changes)
influencing
NPP
is
great
value
study
terrestrial
systems.
To
investigate
influence
on
grassland
NPP,
ecologically
vulnerable
Qinghai–Tibet
Plateau
region
was
considered
an
appropriate
area
period
from
2000
to
2020.
We
innovated
use
RICI
index
quantitatively
represent
analyzed
effects
climatic
using
geographical
detector.
In
addition,
future
predicted
through
integration
two
modeling
approaches:
Patch-Generating
Land
Use
Simulation
(PLUS)
model
Carnegie–Ames–Stanford
Approach
(CASA)
model.
revealed
that
expanded
contributed
7.55
×
104
Gg
C
(Gg
=
109
g)
total
whereas
deterioration
resulted
decline
1.06
105
C.
factor
identified
dominant
restoration,
representing
70.85%
well
degradation,
92.54%
NPP.
By
subdividing
change
activity
into
sub-factors
detecting
them
with
detector,
results
show
anthropogenic
have
significant
ability
explain
geographic
variation
considerable
extent,
effect
greater
when
interact.
q-values
Relative
Impact
Contribution
Index
(RICI)
land
are
consistently
than
0.6,
management
practices
evapotranspiration
remaining
at
approximately
0.5.
analysis
interaction
between
reveals
average
impact
0.8.
2030,
natural
development
scenario,
economic
scenario
(ED),
ecological
protection
(EP)
decreasing
trend
due
change,
factor,
causing
decrease.
Human
play
role
improvement.
EP
indicates
positive
expansion
growth
rate
forests,
water,
wetlands,
while
ED
rapid
urbanization.
It
notable
this
accompanied
by
temporary
suspension
urban
greening.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
162, P. 112017 - 112017
Published: April 10, 2024
Net
primary
productivity
(NPP)
of
terrestrial
ecosystems
serves
as
a
crucial
carbon
sink,
playing
significant
role
in
mitigating
climate
change.
This
study,
focusing
on
the
Yangtze
River
Economic
Belt
(YREB),
key
area
for
both
economic
development
and
ecological
conservation
China,
evaluates
temporal
spatial
changes
regional
NPP
its
responses
to
climatic
factors
against
backdrop
global
Utilizing
long-term
meteorological
grid
data
from
1981
2017,
we
analyzed
annual
change
patterns
linear
nonlinear
using
copula
functions.
Our
findings
indicate
that
57.00
%
YREB
has
experienced
increase
NPP,
with
most
substantial
decreases
observed
Shanghai
surrounding
areas
(P
<
0.05).
Temperature
emerged
driver,
positively
correlating
over
half
study
Moreover,
response
temperature
precipitation
underscores
complex
interactions
between
these
factors,
revealing
sensitivity
variations
surpasses
precipitation.
The
also
highlights
influence
solar
radiation
topographic
positive
correlation
15.85
practical
significance
lies
their
implications
management
resilience
strategies.
potential
targeted
optimize
sequestration
across
YREB.
Furthermore,
identified
topography
influencing
offer
valuable
insights
formulation
adaptive
strategies
enhance
ecosystem
contribute
achieving
neutrality
goals.
By
elucidating
dynamics
range
environmental
this
provides
foundation
informed
decision-making
mitigation
efforts
within
similar
regions
globally.
iScience,
Journal Year:
2025,
Volume and Issue:
28(4), P. 112195 - 112195
Published: March 12, 2025
The
COVID-19
lockdown
led
to
reduced
industrial
and
transportation
emissions
in
Chinese
cities,
improving
air
quality
affecting
large-scale
vegetation.
This
study
examines
changes
net
primary
productivity
(NPP)
across
283
prefecture-level
cities
China
(PCC)
during
the
lockdown,
focusing
on
aerosol
optical
depth
(AOD),
nighttime
light
(NTL),
temperature,
precipitation.
Results
from
spring
2020
show
that
53.5%
of
experienced
increased
NPP,
with
greater
gains
high
traffic
activity
due
AOD.
Structural
equation
modeling
revealed
urban
characteristics,
particularly
levels,
influenced
NPP
primarily
through
AOD,
human
shifts
playing
a
larger
role
than
climate
factors.
In
substantial
changes,
effects
were
especially
pronounced.
These
findings
highlight
complex
interactions
among
environmental
vegetation
responses,
offering
insights
for
ecological
management
planning
face
future
disruptions.
