LAI Mapping of Winter Moso Bamboo Forests Using Zhuhai-1 Hyperspectral Images and a PSO-SVM Model
Xiaoyu Guo,
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Weisen Wang,
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Fanyu Meng
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et al.
Forests,
Journal Year:
2025,
Volume and Issue:
16(3), P. 464 - 464
Published: March 6, 2025
Moso
bamboo
forests
(MBFs)
are
unique
subtropical
ecosystems
characterized
by
distinct
leaf
phenology,
shoots,
rapid
growth,
and
carbon
sequestration
capability.
Leaf
area
index
(LAI)
is
an
essential
metric
for
evaluating
the
productivity
ecological
quality
of
MBFs.
However,
accurate
large-scale
methods
remote-sensing-based
LAI
monitoring
during
winter
growth
stage
remain
underdeveloped.
This
study
introduces
a
novel
method
integrating
hyperspectral
indices
from
Zhuhai-1
Orbit
Hyperspectral
Satellites
(OHS)
imagery
with
particle
swarm
optimization-support
vector
machine
(PSO-SVM)
coupling
model
to
estimate
in
Five
traditional
vegetation
(VIRs)
their
red-edge
variants
(VIREs)
were
optimized
build
empirical
models.
Machine
learning
algorithms,
including
SVM,
Random
Forest,
extreme
gradient
boosting,
partial
linear
regression,
also
applied.
The
PSO-SVM
model,
three
VIRs
VIREs,
achieved
highest
accuracy
(R2
=
0.721,
RMSE
0.490),
outperforming
approaches.
was
strongly
correlated
indices,
such
as
NDVIR,
RVIR,
EVIRE,
SAVIR
(R
>
0.77).
values
MBFs
primarily
ranged
2.1
5.5
winter,
exceeding
4.5
indicating
high
shoot
harvesting.
These
findings
demonstrate
potential
OHS
data
improve
retrieval
models
mapping,
offering
new
insights
into
contributing
sustainable
forest
management
practices.
Language: Английский
Ecological Restoration Increases the Diversity of Understory Vegetation in Secondary Forests: An Evidence from 90 Years of Forest Closures
Yuhua Ma,
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Fengyu Xu,
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Jingya Wei
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et al.
Forests,
Journal Year:
2024,
Volume and Issue:
15(9), P. 1642 - 1642
Published: Sept. 18, 2024
Ecological
restoration
and
biodiversity
are
currently
hot
issues
of
global
environmental
concern.
However,
knowledge
about
the
specific
impacts
duration
on
understory
vegetation
diversity
remains
limited.
Therefore,
this
study
comprehensive
employed
a
spatial
approach
to
compare
differences
in
plant
species
composition
among
secondary
forests
with
varying
ecological
ages
(0,
10,
30,
60,
90-year-old
stands)
Huangfu
Mountain
National
Forest
Park.
This
methodology
allowed
us
clarify
key
factors
affecting
community
investigate
regulatory
mechanisms
influencing
changes
diversity.
The
results
showed
that
shrub
Shannon’s
index
value,
evenness,
herb
richness,
evenness
were
significantly
affected
by
years
restoration,
10
90
being
highest
60
lowest.
Substrate
was
main
factor
layer.
Overstory
soil
C/N,
C,
N,
bacterial
Observed
OTUs,
Chao1,
Pielou_e,
substrate
drivers
had
direct
effect
(0.256)
an
indirect
(0.284)
through
light
availability
fungal
Simpson’s
value.
Light
directly
negatively
(−0.360).
In
addition,
52.6%
from
arboreal
layer
availability,
To
sum
up,
moderate
disturbance
environment
natural
can
be
carried
out
after
which
is
more
conducive
increase
provides
theoretical
basis
for
formulating
measures
forests,
particularly
understanding
optimal
timing
nature
process,
reassuring
audience
validity
reliability
findings.
Language: Английский
The Impact of Bamboo (Phyllostachys edulis) Expansion on the Water Use Patterns of Broadleaf Trees
Xiaoxia Zeng,
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Chao Gong,
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Jian Lü
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et al.
Forests,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1984 - 1984
Published: Nov. 10, 2024
The
expansion
of
bamboo
(Phyllostachys
edulis)
affects
the
growth
status
trees
in
colonized
forests,
but
there
has
been
insufficient
research
on
changes
tree
water
physiology.
In
this
study,
we
used
stable
δ2H,
δ18O,
and
13C
isotope
ratios
to
analyze
sources
use
efficiency
(WUE)
bamboo,
deciduous
broadleaf
(Alniphyllum
fortunei),
evergreen
(Machilus
pauhoi
Castanopsis
eyrei)
a
bamboo-expended
forest
(BEBF),
bamboo-absent
(BABF),
(BF).
We
found
that
had
no
significant
effect
WUE
trees,
altered
trees.
During
growing
season,
decrease
their
uptake
fractions
surface
soil
by
7.1%
9.6%
increased
middle
5.8%~9.4%.
Conversely,
during
non-growing
they
11.9%
decreased
deeper
5.6%~12.9%.
Additionally,
after
expanding
into
its
proportion
shallow
20.0%
9.4%
season.
Its
also
improved,
increasing
20.0
μmol/mol
13.0
seasons,
respectively.
These
results
indicate
as
expands
it
enhances
competitiveness
for
resources
changing
strategy.
Compared
exhibit
more
flexible
strategies
under
conditions
expansion.
Our
reveals,
first
time,
how
adjust
response
expansion,
uncovers
mechanisms
behind
forests
from
perspective
strategies.
This
will
aid
future
management
Language: Английский