PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(12), P. e0315329 - e0315329
Published: Dec. 16, 2024
Grassland
plays
a
crucial
role
in
the
global
cycles
of
matter,
energy,
water
and,
climate
regulation.
Biomass
serves
as
one
fundamental
indicators
for
evaluating
ecological
status
grassland.
This
study
utilized
Carnegie-Ames-Stanford
Approach
(CASA)
model
to
estimate
Net
Primary
Productivity
(NPP)
from
meteorological
data
and
Global
Inventory
Monitoring
Modeling
System
(GIMMS)
Normalized
Difference
Vegetation
Index
(NDVI)
remote
sensing
northern
China’s
temperate
alpine
grasslands
1981
2015.
NPP
was
subsequently
converted
into
aboveground
biomass
(AGB).
The
dynamic
changes
grassland
AGB
were
analyzed,
influence
change
examined.
results
indicate
strong
agreement
between
estimations
CASA
Gill
method
based
on
field-measured
AGB,
confirming
model’s
reliability
these
regions.
exhibited
significant
increasing
trend
1.31
g/m
2
.
Grazing
intensity
(GI),
soil
moisture,
mean
annual
precipitation
are
identified
key
factors
influencing
AGB.
Our
findings
that
moisture
primary
drivers
accumulation
during
growing
season
(spring,
summer,
autumn),
while
temperature
critical
supporting
winter.
Higher
temperatures
winter
contributes
increased
following
spring,
particularly
desert
steppe
meadow
ecosystems.
These
insights
highlight
complex
interaction
human
activities
shaping
productivity
across
different
seasons.
Atmosphere,
Journal Year:
2023,
Volume and Issue:
14(1), P. 172 - 172
Published: Jan. 13, 2023
Remote
sensing
is
the
technique
of
acquiring
data
from
earth’s
surface
sensors
installed
on
satellites
or
manned
unmanned
aircrafts.
Its
use
common
in
dozens
sectors
science
and
technology,
agriculture,
atmosphere,
soil,
water,
land
surface,
oceans
coasts,
snow
ice,
natural
disasters,
among
others.
This
article
focuses
an
in-depth
literature
review
some
most
promising
disciplines,
which
are
asbestos–cement
roof
identification,
vegetation
oil
gas
industry,
geology,
with
aim
having
clarity
trends
research
these
issues
at
international
level.
The
relevant
problems
each
sector
have
been
highlighted,
evidencing
need
for
future
area
light
technological
advances
multi-
hyperspectral
availability
satellite
images
more
precise
spatial
resolution.
A
bibliometric
analysis
proposed
discipline
network
related
keywords
discussed.
Finally,
results
suggest
that
policymakers,
urban
planners,
mine,
companies
should
consider
remote
as
primary
tool
when
planning
comprehensive
development
strategies
field
parameter
multitemporal
analysis.
The Science of The Total Environment,
Journal Year:
2023,
Volume and Issue:
892, P. 164735 - 164735
Published: June 8, 2023
As
the
most
influential
atmospheric
oscillation
on
Earth,
El
Niño/Southern
Oscillation
(ENSO)
can
significantly
change
surface
climate
of
tropics
and
subtropics
affect
high
latitudes
northern
hemisphere
areas
through
teleconnection.
The
North
Atlantic
(NAO)
is
dominant
pattern
low-frequency
variability
in
Northern
Hemisphere.
oscillations
Hemisphere,
ENSO
NAO
have
been
affecting
giant
grassland
belt
world,
Eurasian
Steppe
(EAS),
recent
decades.
In
this
study,
spatio-temporal
anomaly
patterns
growth
EAS
their
correlations
with
were
investigated
using
four
long-term
leaf
area
index
(LAI)
one
normalized
difference
vegetation
(NDVI)
remote
sensing
products
from
1982
to
2018.
driving
forces
meteorological
factors
under
analyzed.
results
showed
that
has
turning
green
over
past
36
years.
Warm
events
or
positive
accompanied
by
increased
temperature
slightly
more
precipitation
promoted
growth,
cold
negative
cooling
effects
whole
uneven
decreased
deteriorated
grassland.
During
combination
warm
events,
a
severe
warming
effect
caused
significant
greening.
Moreover,
co-occurrence
kept
characteristic
rainfall
deteriorate
severely.
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: May 9, 2023
Taking
the
Mongolian
Plateau
as
research
area,
this
paper
studied
vegetation
growth
from
2001
to
2018.
We
quantified
changes
based
on
in
gross
primary
productivity
(GPP)
and
leaf
area
index
(LAI)
their
relationships
climate
variables
using
correlation
analysis,
partial
analysis
multiple
analysis.
The
results
showed
that
2018
both
GPP
LAI
an
increasing
trend,
with
great
heterogeneities
among
different
areas
land
cover
types.
largest
increase
of
occurred
northeast
plateau
types
forest
cropland.
main
driving
factor
was
precipitation,
while
temperature
significantly
negatively
correlated
growth.
CO
2
concentration
had
a
significant
impact
farmland,
solar
radiation
tundra.
Our
study
highlights
importance
precipitation
regulating
Plateau,
challenging
prevailing
views
dominates
northern
ecosystems.
