Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Ноя. 19, 2024
Studying
key
leaf
functional
traits
is
crucial
for
understanding
plant
resource
utilization
strategies
and
growth.
To
explore
the
patterns
driving
factors
of
in
forests
along
elevational
gradients
under
global
change,
we
collected
survey
data
from
697
across
China
2008
to
2020.
This
study
examined
Specific
Leaf
Area
(SLA,
m²/kg),
Dry
Matter
Content
(LDMC,
g/g),
Nitrogen
(LN,
mg/g),
Phosphorus
(LP,
their
responses
climate,
soil
nutrients,
stand
factors.
The
results
showed
distinct
differences
these
at
different
gradients.
Generally,
as
elevation
increased,
SLA
decreased,
while
LDMC
significantly
increased
(
Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Авг. 7, 2024
Specific
leaf
area
(SLA)
and
dry
matter
content
(LDMC)
are
key
functional
traits
often
used
to
reflect
plant
resource
utilization
strategies
predict
responses
environmental
changes.
In
general,
grassland
plants
at
different
elevations
exhibit
varying
survival
strategies.
However,
it
remains
unclear
how
adapt
changes
in
elevation
their
driving
factors.
To
address
this
issue,
we
utilized
SLA
LDMC
data
of
from
223
study
sites
China,
along
with
climate
soil
data,
investigate
variations
elevational
gradients
dominant
influencing
factors
employing
linear
mixed-effects
models,
variance
partitioning
method,
piecewise
Structural
Equation
Modeling,
etc.
The
results
show
that
increasing
elevation,
significantly
decreases,
increases
(
Forests,
Год журнала:
2023,
Номер
14(9), С. 1830 - 1830
Опубликована: Сен. 7, 2023
Ecosystems
in
arid
areas
are
under
pressure
from
human
activities
and
the
natural
environment.
Long-term
monitoring
evaluation
of
ecosystems
essential
for
achieving
goal
sustainable
development.
The
Xinjiang
Uygur
Autonomous
Region
(Xinjiang)
is
a
typical
region
located
Northwest
China
with
relatively
sensitive
ecosystem.
Under
support
Google
Earth
Engine
(GEE)
cloud
platform’s
massive
data
collection,
remote
sensing
ecological
index
(RSEI)
2000
to
2020,
both
summer
spring,
established,
variation
trend
quality
evaluated
by
coefficient
(CV),
Sen’s
slope
analysis,
Mann–Kendall
test
(M–K
test)
Hurst
index.
In
addition,
partial
correlation
analysis
processed
between
RSEI
selected
climatic
factors,
including
precipitation
temperature,
find
out
mode
climate.
last
two
decades
following
has
become
apparent:
(1)
values
have
been
low
unstable
toward
increasing;
(2)
distribution
characteristics
levels
spring
similar;
were
concentrated
desert
wilderness,
while
high
around
oasis;
(3)
stable,
sustained
increase
spring.
There
was
also
small
area
decrease
Junggar
Basin
Turpan
significant
center
Taklamakan
Desert
spring;
(4)
summer,
obviously
positively
correlated
Southwest.
temperature
northwestern
part;
Western
oasis
Yili
River
Tarim
Basin.
Functional Plant Biology,
Год журнала:
2025,
Номер
52(3)
Опубликована: Фев. 24, 2025
The
response
of
leaf
traits
and
photosynthetic
characteristics
to
selenium
(Se)
application
reflects
plant
adaptation
strategies
for
selenium-enhanced
accumulation
products.
This
study
selected
eggplant
as
the
research
subject
conducted
a
field
experiment
better
understand
these
relationships.
included
three
Se
treatments,
foliar
sprays
0.5
mg
L−1
(T1),
1
(T2),
1.5
(T3),
with
tap
water
control
(CK).
results
revealed
that
T1
T2
significantly
improved
compared
CK,
while
T3
had
negative
effect.
Regarding
area–leaf
thickness
(LA–LT)
trade-off
relationship,
treatment
favoured
LA,
whereas
T1,
treatments
LT,
values
>
CK.
net
rate–transpiration
rate
(Pn–Tr)
CK
Tr,
T2,
Pn,
T3.
In
specific
area
Pn
showed
non-significant
highly
significant
positive
correlations,
respectively,
in
respectively.
These
indicate
at
appropriate
concentrations
can
increase
crop
productivity
semi-arid
areas.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2024,
Номер
17, С. 16119 - 16138
Опубликована: Янв. 1, 2024
s-The
Yellow
River
Basin
(YRB)
is
a
major
ecological
functional
area
in
China,
and
its
safety
development
change
have
extremely
significant
impacts
on
the
natural
environment
human
society.
However,
existing
studies
YRB
lack
spatiotemporal
characteristics
analysis
prediction
of
with
vegetation
as
core.
Therefore,
this
study
proposes
to
construct
an
index
(ESI)
based
comprehensive
multi-dimensional
evaluation
system
"vigor-pressure-state-response,"using
normalized
difference
index,
carbon
sink
indicator
parameters,
temperature,
precipitation,
digital
elevation
model,
population
density,
per
capita
gross
domestic
product
from
2000
2020.
The
ESI
were
then
analyzed
for
YRB,
long-term
short-term
memory
network
model
was
constructed
predict
trend
over
next
10
years.
According
results,
2020,
showed
fluctuating
upward
trend,
annual
average
changed
abruptly
2015
due
drastic
changes
hazardous
areas.
most
areas
stability
weak
some
areas,
overall
spatial
distribution
positive
agglomeration
characteristics.
Further,
response
landscape
complexity
different
reaches
varied.
Most
middle
positively
correlated
complexity,
while
upper
lower
not
significantly
or
negatively
correlated.
Notably,
years,
YRB's
growth
will
slow
down,
degradation
increasing,
decreasing,
currently
showing
improving.
Forests,
Год журнала:
2023,
Номер
14(9), С. 1708 - 1708
Опубликована: Авг. 24, 2023
Studying
the
variation
and
correlation
of
traits
among
provenances
is
great
significance
for
selection
excellent
interpretation
acclimation
mechanisms
different
in
context
climate
change.
The
photosynthetic
characteristic
parameters
leaf
functional
18
Cunninghamia
lanceolata
a
common
garden
were
measured.
Redundancy
analysis
combined
with
Pearson
was
used
to
analyze
relationship
characteristics,
traits,
geo-climatic
conditions.
results
showed
following:
(1)
Significant
differences
observed,
gsw
LDMC
have
greatest
as
indicators
respectively,
because
ability.
(2)
Leaf
can
better
reflect
parameters.
between
most
reached
significant
level
(p
<
0.05),
dry
weight
(LDW)
specific
area
(SLA)
are
key
trait
factors
that
determine
(3)
Precipitation
appeared
be
factor
influences
intraspecific
traits’
variability
compared
temperature.
This
study
explain
how
acclimate
environment
which
more
suitable
planting
under
change
from
mechanistic
perspective.
