Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 14, 2023
Abstract
The
seasonal
peak
of
vegetation
photosynthesis
is
a
key
indicator
terrestrial
ecosystem
productivity,
bearing
significant
impacts
on
atmospheric
CO
2
concentrations.
Recent
remote
sensing
observations
have
indicated
an
escalating
trend
in
photosynthesis,
yet
the
sustained
trajectory
this
increase
under
warming
remains
uncertain.
Notably,
water
availability
and
temperature
emerge
as
paramount
limiting
factors
governing
photosynthesis.
To
probe
these
constraints,
here
we
employ
solar-induced
chlorophyll
fluorescence
surrogate
for
focusing
examination
water-related
restrictions
northern
ecosystems.
Our
findings
unveil
discernible
expansion
water-constrained
zones
ecosystems
over
past
two
decades.
A
general
relationship
identified
between
mean
annual
precipitation
that
effectively
distinguishes
temperature-constrained
ecosystems,
which
can
be
used
to
predict
future
changes
constraint
status
various
climate
change
scenarios.
results
show
regions
will
further
expand
by
4.51%
11.13%
2100
SSP245
SSP585
Global Change Biology,
Journal Year:
2025,
Volume and Issue:
31(1)
Published: Jan. 1, 2025
ABSTRACT
The
carbon
sink
function
performed
by
the
different
vegetation
types
along
environmental
gradient
in
coastal
zones
plays
a
vital
role
mitigating
climate
change.
However,
inadequate
understanding
of
its
spatiotemporal
variations
across
and
associated
regulatory
mechanisms
hampers
determining
potential
shifts
changing
climate.
Here,
we
present
long‐term
(2011–2022)
eddy
covariance
measurements
net
ecosystem
exchange
(NEE)
CO
2
at
three
sites
with
(tidal
wetland,
nontidal
cropland)
zone
to
examine
type
on
annual
strength.
We
found
that
study
are
stable
sinks
influenced
their
distinct
physiological
phenological
factors.
NEE
tidal
cropland
were
determined
predominantly
seasonal
peaks
uptake,
release,
duration
uptake
period.
Furthermore,
changes
sensitive
climatic
variables,
as
spring
mean
air
temperature
reduced
strength
maximum
daily
precipitation
summer
it
global
radiation
elicited
same
effect
cropland.
Finally,
worldwide
database
was
compiled,
using
which
further
validated
consistency
biological
controls.
Overall,
these
results
emphasize
importance
considering
underlying
influence
for
accurate
forecasting
dynamics
under
Frontiers in Plant Science,
Journal Year:
2025,
Volume and Issue:
16
Published: March 4, 2025
The
deployment
of
Utility-Scale
Solar
Energy
(USSE)
systems
is
increasingly
recognized
as
a
cornerstone
strategy
in
mitigating
climate
change.
However,
the
environmental
ramifications
such
extensive
developments
remain
subject
considerable
debate,
with
marked
regional
variability
their
ecological
effects,
particularly
across
different
biomes.
As
such,
there
pressing
need
for
comprehensive,
systems-level
investigations
to
evaluate
multifaceted
impacts
USSE
both
arid
and
humid
ecosystems.
Here,
we
undertake
an
exhaustive
assessment
utilizing
high-resolution
(10
m)
dataset
photovoltaic
(PV)
station
distributions
China,
complemented
by
Landsat-derived
NDVI
remote
sensing
data
from
2019
2023.
This
approach
facilitates
quantification
dynamic
effects
PV
infrastructure
development
on
vegetation
greenness
(NDVI
mean
max
),
allows
scale-dependent
responses
two
contrasting
regions:
zone
Ningxia
Anhui.
Our
results
indicate
that
region,
construction
facilities
has
negligible
effect
greenness,
inter-annual
variations
remaining
consistently
below
0.05,
no
discernible
change
.
In
contrast,
region
led
dramatic
deterioration
declining
sharply
0.42
0.20—representing
reduction
over
50%,
during
growing
season
(April
October).
Furthermore,
relationship
between
scale
installations
impact
was
characterized
pronounced
non-linearity,
large-scale
plants
(spanning
>10,000
pixels)
causing
near-total
collapse,
driving
toward
near-zero.
Collectively,
these
findings
suggest
sparse
enhanced
microclimatic
regulation
characteristic
ecosystems
provide
greater
resilience
external
disturbances,
whereas
high-biomass
typical
regions
significantly
more
vulnerable
perturbations.
Based
insights,
advocate
strategic
prioritization
adaptability
future
development,
alongside
incorporation
restoration
measures
optimization
facility
mitigate
potential
disturbances.
study
emphasizes
synergistic
optimize
energy
transition
conservation
context
variability,
offering
solid
scientific
basis
national-scale
planning
site
selection
projects.
New Phytologist,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
The
spring
phenology
has
advanced
significantly
over
recent
decades
with
climate
change,
impacting
large-scale
biogeochemical
cycles,
feedback,
and
other
essential
ecosystem
processes.
Although
numerous
prognostic
models
have
been
developed
for
phenology,
regional
analyses
of
the
optimality
(OPT)
strategy
model
that
incorporate
environmental
variables
beyond
temperature
photoperiod
remain
lacking.
We
investigated
roles
solar
radiation
(SR)
three
water
stress
factors
(precipitation
(P),
soil
moisture,
vapor
pressure
deficit
(VPD))
on
from
1982
to
2015
using
OPT
Global
Inventory
Modeling
Mapping
Studies
NDVI3g
dataset
data
TerraClimate,
CRU_TS,
Land
Data
Assimilation
System
across
Northern
Hemisphere
(>
30°N).
Our
results
show
SR
impacted
intrasite
decadal
variability,
dominant
in
grassland
ecosystems
while
dominated
rest
types.
Enhanced
incorporating
(OPT-S)
VPD
(OPT-VPD)
outperformed
original
model,
likely
due
improved
representation
adaptive
optimize
photosynthetic
carbon
gain
minimizing
frost
risk.
research
enhances
understanding
key
drivers
influencing
variation
contributes
more
accurate
forecasts
ecological
responses
global
change.
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: May 14, 2024
Herbaceous
marshes
are
widely
distributed
in
China
and
vital
to
regional
ecological
security
sustainable
development.
Vegetation
net
primary
productivity
(NPP)
is
a
indicator
of
vegetation
growth.
Climatic
change
can
significantly
affect
NPP,
but
variations
NPP
herbaceous
marsh
their
responses
climate
remain
unclear.
Using
meteorological
data
MODIS
during
2000-2020,
this
study
analyzed
the
spatial
temporal
Chinese
marshes.
We
found
that
annual
increased
at
rate
3.34
g
C/m
2
/a
from
2000
2020,
with
an
average
value
336.60
.
The
total
precipitation
enhanced
national
whereas
mean
temperature
had
no
significant
effect
on
NPP.
Regionally,
positive
temperate
semi-arid
arid
semi-humid
humid
regions.
For
first
time,
we
discovered
asymmetry
effects
daytime
nighttime
temperatures
China.
In
regions,
summer
decreased
while
Tibetan
Plateau,
autumn
temperature,
as
well
could
increase
This
highlights
different
influences
seasonal
indicates
differential
should
be
considering
simulating
terrestrial
ecosystem
models,
especially
under
background
global
asymmetric
diurnal
warming.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(1), P. 201 - 201
Published: Jan. 3, 2024
The
interrelation
between
grassland
vegetation
greenness
and
hydrothermal
conditions
on
the
Tibetan
Plateau
demonstrates
a
significant
correlation.
However,
understanding
spatial
patterns
degree
of
this
correlation,
especially
in
relation
to
minimum
maximum
air
temperatures
across
various
vertical
gradient
zones
Plateau,
necessitates
further
examination.
Utilizing
normalized
difference
phenology
index
(NDPI)
considering
four
distinct
(minimum,
maximum,
mean
temperature,
precipitation)
during
growing
season,
an
analysis
was
conducted
correlation
NDPI
with
plateau
elevations
from
2000
2021.
Results
indicate
that
grasslands
is
spatially
varied.
There
pronounced
negative
temperature
precipitation
northeastern
plateau,
while
areas
exhibit
stronger
positive
correlations
temperature.
Additionally,
as
elevation
increases,
sensitivity
alpine
significantly
intensify,
contrary
effects
observed
elevational
changes
primarily
unimodal
pattern
Plateau.
These
findings
emphasize
are
both
elevation-dependent
distinct.
Global
warming
could
affect
vegetation
growth,
while
land
surface
temperature
has
exhibited
an
asymmetric
pattern
over
the
past
50
years.
The
Tibetan
Plateau,
known
as
"the
roof
of
world,"
experiences
almost
twice
high
global
average.
However,
previous
research
largely
overlooked
impacts
this
asymmetrical
on
growth
and
temporal
changes
in
these
impacts.
In
study,
we
assess
effects
at
regional
different
types
by
using
partial
correlation
analysis,
reveal
strength
time
moving
window.
results
showed
that
there
had
been
a
significant
greening
trend
(1.01
×
10−3
yr−1,
p
<
0.01)
Normalized
Difference
Vegetation
Index
(NDVI)
during
growing
season,
well
trends
both
maximum
temperatures
(Tmax,
0.0354°C
minimum
(Tmin,
0.0333°C
2000–2021.
Under
background
warming,
grassland
stronger
Tmin
than
Tmax
NDVI,
opposite
were
observed
for
forests.
Over
time,
response
NDVI
to
intensified.
This
study
highlights
importance
projection
climate
change
similarly
vulnerable
ecosystems
worldwide.