Authorea (Authorea),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 27, 2023
The
processes
shaping
the
biological
communities
are
ongoing
debates.
Two
theories
of
Niche
and
Neutral
most
accepted
ones,
emphasizing
on
interspecific
competition/environmental
filtering,
stochastic
processes,
respectively.
Recently
subject
is
investigated
by
incorporating
phylogeny
into
ecological
approaches.
We
plant
structure
in
Kerman,
Iran,
constructing
phylogenetic
tree
for
species
pool
using
megatree
vascular
plants
R
Package
V.PhyloMaker2,
subsequently
calculated
communities’
diversity
indices
(PDI)
Faith,
Net
Relatedness
index
(NRI)
Nearest
Taxon
(NTI).
Relationship
indecis
with
environmental
components
abundance
was
studied
Packages
Picante
Vegan,
compositions
were
based
both
abundance-weighted
phylogeny-weighted
compositions,
their
correlation
Mental
test.
Similarity
among
evaluated
ordination
analyses
Non-metric
Multidimensional
Scaling
(NMDS)
Principal
Coordinates
Phylogenetic
Structure
(PCPS),
NRI
NTI
values
positive
smaller
than
threshold
value
1.96,
indicating
clustered
communities,
highlighting
filtering
role.
Soil
pH
moisture
significantly
correlated
NTI,
but
only
soil
affected
NRI.
However,
EC,
altitude,
slope
degree
aspects
did
not
affect
NTI.
None
six
abundance.
NMDS-
PCPS-wieghted
correlated.
results
showed
that
assemblage
determined
importance
factors
rather
competition
distribution
region.
Global Ecology and Conservation,
Journal Year:
2023,
Volume and Issue:
48, P. e02702 - e02702
Published: Oct. 23, 2023
In
the
current
context
of
climate
change,
Western
Himalayas
are
thought
to
be
warming
faster
than
global
average
rate.
Despite
this
rapid
warming,
our
understanding
alpine
vegetation
composition
and
underlying
factors
shaping
its
patterns
in
Himalayan
highlands
Pakistan
remains
limited.
Extensive
field
sampling
was
conducted
at
24
sites
ranging
altitude
from
3300
m
4200
m.
The
entire
altitudinal
range
divided
into
three
belts
i.e.,
low-altitude
sites,
medium-altitude
high-altitude
(HAS).
Results
revealed
that
flora
consisted
251
species
(belonging
51
families.
findings
83
evaluated
contributed
significantly
change
between
sites.
most
variance
communities
made
up
75%
total,
demonstrating
these
important
structuring
plant
different
altitudes.
Among
flora,
a
significant
(49%)
dominance
observed
nine
families,
comprising
total
123
species.
largest
family,
Asteraceae,
had
highest
number
species,
followed
by
Poaceae
Rosaceae.
Hemicryptophytes
emerged
as
prevailing
life
form,
while
Microphylls
were
dominant
leaf
type.
Phytosociological
Indices
diversity
levels
decreased
with
increasing
altitude,
indicating
impact
on
diversity.
Canonical
correspondence
analysis
suggested
grazing,
soil
erosion
explaining
distribution
flora.
Twelve
indicator
discovered
groups.
LAS,
Bistorta
affinis,
Geranium
himalayense,
Poa
nemoralis,
Sibbaldia
cuneata,
value,
whereas
MAS
Allium
humile,
Juniperus
communis,
Rhododendron
campanulatum
p-values.
high
HAS,
plants
communis.
Our
results
identified
vulnerable
very
low
abundance
values
17
threatened
having
extremely
(<0.1)
vital
conservation
priority
region.
may
helpful
formulate
immediate
management
strategies
conservethe
precious
floristic
wealth
Region.
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: Feb. 12, 2024
Exploring
plant
diversity
and
ecosystem
functioning
in
different
dimensions
is
crucial
to
preserve
ecological
balance
advance
conservation
efforts.
Ecosystem
transition
zones
serve
as
vital
connectors
linking
two
distinct
ecosystems,
yet
the
impact
of
various
aspects
(including
taxonomic,
functional,
phylogenetic
diversity)
on
soil
multifunctionality
these
remains
be
clarified.
This
study
focuses
forest-grassland
zone
mountains
northern
slopes
Tianshan
Mountains,
investigates
vegetation
characteristics
from
forest
ecosystems
grassland
characterize
functioning,
well
driving
role
dimensions.
In
montane
zone,
urease
(URE)
total
nitrogen
(TN)
play
a
major
regulating
by
affecting
nutrient
cycle.
Phylogenetic
was
found
strongest
driver
multifunctionality,
followed
functional
diversity,
while
taxonomic
least
important
driver.
Diverse
species
were
shown
an
maintaining
especially
distantly
related
with
high
phylogeny.
The
multidimensional
can
help
relationship
between
elements,
which
areas
where
overlaps,
application
findings
support
sustainable
development
regions.
Land,
Journal Year:
2024,
Volume and Issue:
13(9), P. 1348 - 1348
Published: Aug. 24, 2024
Vegetation
plays
an
important
role
in
absorbing
carbon
dioxide
and
accelerating
the
achievement
of
neutrality.
As
ecological
barrier
North
China,
Taihang
Mountains
are
pivotal
to
construction
project
China.
Nevertheless,
dynamic
development
vegetation
sink
region
impact
factors
on
have
not
been
systematically
evaluated.
This
study
employed
a
comprehensive
approach,
utilising
remote
sensing
technology
meteorological
topographic
data,
conjunction
with
net
ecosystem
productivity
(NEP)
estimation
model
reveal
characteristics
sinks
Mountain,
then
revealed
dynamics
evolution
NEP
inter-annual
trend
by
using
Theil–Sen
Median
slope
estimation,
Mann–Kendall
test,
coefficient
dissociation
analysed
driving
roles
influencing
parameter
optimal
geographic
detector.
Our
findings
suggest
that
Mountain
area
has
clear
growth
time,
average
value
is
289
gC-m−2-a−1
from
2000
2022,
spatial
distribution
shows
high
northeast
low
middle
west,
gradual
increase
southwest;
areas
fluctuation
mainly
distributed
around
some
cities
susceptible
interference
natural
or
anthropogenic
factors.
The
influenced
variety
factors,
among
which
explanatory
power
each
factor
as
follows:
DEM
(0.174)
>
temperature
(0.148)
precipitation
(0.026)
(0.017)
direction
(0.003).
had
strongest
for
changes,
two-by-two
effects
were
all
significantly
stronger
than
single
factor,
interaction
between
power;
distinguishing
climate
change
contribution
activities
changes
more
90%
Mountainous
Region
was
60%,
force
change.
results
this
can
only
provide
reference
reduction
restoration
projects
but
also
benefit
research
paradigm
sequestration
other
regions.
Journal of Environmental & Earth Sciences,
Journal Year:
2025,
Volume and Issue:
7(1)
Published: Jan. 14, 2025
The
net
primary
productivity
of
vegetation
(NPP)
is
an
important
index
to
evaluate
the
carbon
sequestration
capacity
and
land
use
change.
Using
MOD17N3HGF
NPP
data,
climate
data
night-time
light
from
2000
2020,
this
study
explored
relationship
between
urban
expansion,
change
in
Southern
Part
Taihang
Mountain
through
brightness
gradient
method,
trend
analysis,
partial
correlation
analysis
contribution
analysis.
It
aims
provide
information
support
for
rural
planning
ecological
management
region.
Key
findings
include:
Over
past
20
years,
mountain
areas
has
shown
overall
fluctuating
upward
trend,
with
"N"
pattern
related
altitude.
human
activity
area
expanded
by
9.9%,
expansion
highly
active
holding
back
growth
moderately
contributing
it.
gradually
warming
wetting,
precipitation
strong,
while
temperature
weak.
Compared
activities
(19.9%),
was
main
driver
change,
significantly
up
79.5%.
In
quality
south
region
improved
actively
responded
but
have
led
spatial
temporal
differences.
Forests,
Journal Year:
2025,
Volume and Issue:
16(4), P. 570 - 570
Published: March 25, 2025
Estimates
of
tree
species
diversity
via
traditional
optical
remote
sensing
are
based
only
on
the
spectral
variation
hypothesis
(SVH);
however,
this
approach
does
not
account
for
vertical
structure
a
forest.
The
relative
height
(RH)
indices
derived
from
GEDI
spaceborne
LiDAR
provide
vegetation
information
through
waveform
decomposition.
Although
RH
have
been
widely
studied,
optimal
index
estimation
remains
unclear.
This
study
integrated
GF-1
imagery
and
data
to
estimate
in
warm
temperate
First,
random
forest
plus
residual
kriging
(RFRK)
was
employed
achieve
wall-to-wall
mapping
GEDI-derived
indices.
Second,
recursive
feature
elimination
(RFE)
applied
select
relevant
features.
(RF),
support
vector
machine
(SVM),
k-nearest
neighbor
(kNN)
methods
were
subsequently
data.
results
indicated
that
multisource
achieved
greater
accuracy
(average
R2
=
0.675,
average
RMSE
0.750)
than
single-source
0.636,
0.754).
Among
three
learning
methods,
RF
model
(R2
0.760,
2.090,
MAE
1.624)
significantly
more
accurate
SVM
0.571,
2.556,
1.995)
kNN
0.715,
2.084,
1.555)
models.
Moreover,
mean_mNDVI,
mean_RDVI,
mean_Blue
identified
as
most
important
features,
whereas
RH30
RH98
crucial
features
establishing
models
diversity.
Spatially,
high
west
low
east
area.
highlights
potential
integrating
modeling
emphasizes
indicative
middle-
lower-canopy
BMC Plant Biology,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: May 16, 2025
Himalayan
forests
are
crucial
for
ecological
roles
but
face
threats
from
natural
and
human
factors.
This
study
examines
tree
diversity,
regeneration
patterns,
human-induced
in
the
Kashmir
Western
Himalayas.
We
use
indices
multivariate
analysis
to
investigate
species
richness,
composition
shifts,
impact
of
ongoing
anthropogenic
on
forest
ecosystems.
Vegetation
sampling
was
conducted
at
45
sites
Himalayas,
elevations
600
3600
m.
Data
were
collected
using
quadrat
methods.
To
composition,
influences,
statistical
analyses
such
as
Shannon
Simpson
indices,
Non-metric
multidimensional
scaling
(nMDS),
Principal
Component
Analysis
(PCA),
Canonical
Correspondence
(CCA),
regression
models
performed
R
software
OriginPro.
A
total
33
recorded
different
zones:
temperate
zone
had
most
(22),
followed
by
subtropical
(16)
subalpine
(7).
The
highest
index
(2.15
±
0.24)
(0.86
0.03),
while
lowest
(0.48
0.20).
evenness
(0.95
0.04).
PCA
showed
that
PC1
explained
37.2%
variation
PC2
14.9%.
Human-induced
disturbances
significant
drivers
particularly
zones,
accounting
11%
variation.
Picea
smithiana
density
(615.62
individuals
per
hectare).
indicated
a
quadratic
relationship
between
DBH
(R²
values
0.66641
0.92089).
Regeneration
patterns
varied:
Pinus
roxburghii
high
seedling
zone,
Abies
pindrow
wallichiana
regenerated
well
recruitment
limited
zone.
Elevation
significantly
influences
diversity
factors
shape
composition.
Anthropogenic
activities
notably
affect
especially
lower
elevations,
thereby
threatening
ecosystem
resilience.
emphasizes
necessity
sustainable
management
practices
mitigate
impacts
promote
regeneration,
zones.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
162, P. 111996 - 111996
Published: April 18, 2024
How
to
assess
the
effect
of
ecosystem
restoration
is
a
trending
topic
with
all
projects
and
function
studies
in
recent
years.
Although
many
have
used
different
indicators
methods
evaluate
effects,
it
needs
lot
site
works
acquire
data.
Low-function
Platycladus
orientalis
forest
program
Beijing
mountainous
area
has
been
started
since
2002,
this
study,
understory
species
92
plots
were
investigated
recorded.
We
assumed
that
would
improve
conditions,
especially
for
soil
conditions
which
might
lead
appearance
new
species.
The
relationship
between
eleven
condition
factors
was
elucidated
by
means
canonical
correspondence
analysis
(CCA),
further,
specific
chosen
represent
improvement
possible
growth
areas
predicted
Maximum
Entropy
model.
Results
shown
Spiraea
pubescens,
Deutzia
parviflora,
Chrysanthemum
chanetii,
Themeda
triandra,
Oplismenus
undulatifolius
main
sensitive
environmental
factors,
their
distribution
related
closely.
had
strong
indication
nutrient,
appearances
happen
when
comprehensive
index
nutrient
above
81,64
61
respectively.
chanetii
indicate
level
or
range
medium,
pubescens
mean
high
low-function
area.
Our
study
indicates
could
as
an
indicator
reflect
effect.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 11020 - 11020
Published: Dec. 16, 2024
The
altitudinal
distribution
pattern
of
biodiversity
is
a
hot
topic
in
ecological
research.
This
study
specifically
aims
to
investigate
how
altitude
influences
the
spatial
species
and
phylogenetic
functional
diversity
within
plant
communities.
By
examining
three
range-gradient
communities
Daqing
Mountain-Community
I
(0–300
m),
Community
II
(300–600
III
(600–900
we
explore
interrelationship
between
diversity,
indices,
environmental
drivers
(altitude,
soil
physical
properties,
chemical
properties).
We
found
(1)
correlation
structure
Mountain.
Species
decreased
then
increased
with
increasing
altitude;
altitude,
changed
from
dispersed
aggregated;
(2)
Altitude
properties
are
important
richness,
along
gradient;
(3)
structural
equations
showed
that
rise
were
key
factors
contributing
decrease
Mountain,
total
porosity
directly
influencing
water
content
indirectly.
not
only
reveals
Mountain
but
also
provides
basis
for
conservation
planning,
habitat
maintenance,
management
coordination.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 13, 2024
Abstract
Determining
the
distribution
pattern
and
drivers
of
specific
species
diversity
is
significant
for
predicting
response
to
biodiversity
formulating
conservation
programs
reduce
loss.
How
apply
regional
habitat
indicators
study
patterns
a
hot
spot
in
recent
years.
In
this
study,
we
investigated
112
Asteraceae
plants
sample
plots
explored
effects
topography,
soil
nutrients
stand
factors
on
by
using
SEM
model.
And
responses
was
simulated
Maxent
The
results
shown
that
had
highest,
but
topography
canopy
closure
lowest
relative
contributions
among
these
factors.
Topography
affected
direct
indirect
effects.
contribution
rate
each
potential
environmental
variable’s
impact
ranked
as
following:
STN
(29.7%)>
SOC
(28.5%)
>
slope
(8.5%)>
Ele
(8.1%).
abundant
at
high
(>27g/kg),
(>1.8
g/kg),
low
(165–333
m)
gentle
slopes
(5–12
degrees).
Our
indicates
could
an
indicator
reflect
or
evaluate
level
nutrient
content.