Modeling the Impacts of Climate Change on Potential Distribution of Betula luminifera H. Winkler in China Using MaxEnt
Qiong Yang,
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Yangzhou Xiang,
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Suhang Li
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et al.
Forests,
Journal Year:
2024,
Volume and Issue:
15(9), P. 1624 - 1624
Published: Sept. 14, 2024
Betula
luminifera
H.
Winkler,
a
fast-growing
broad-leaved
tree
species
native
to
China’s
subtropical
regions,
possesses
significant
ecological
and
economic
value.
The
species’
adaptability
ornamental
characteristics
make
it
crucial
component
of
forest
ecosystems.
However,
the
impacts
global
climate
change
on
its
geographical
distribution
are
not
well
understood,
necessitating
research
predict
potential
shifts
under
future
scenarios.
Our
aims
were
forecast
impact
suitable
B.
across
China
using
MaxEnt
model,
which
is
recognized
for
high
predictive
accuracy
low
sample
data
requirement.
Geographical
coordinate
points
collected
from
various
databases
verified
redundancy.
Nineteen
bioclimatic
variables
selected
screened
correlation
avoid
overfitting
in
model.
model
was
optimized
ENMeval
package,
evaluated
Akaike
Information
Criterion
Correction
(delta.AICc),
Training
Omission
Rate
(OR10),
Area
Under
Curve
(AUC).
predicted
current
scenarios
based
Shared
Socio-economic
Pathways
(SSPs).
demonstrated
with
an
AUC
value
0.9.
dominant
environmental
influencing
annual
precipitation,
minimum
temperature
coldest
month,
standard
deviation
seasonality.
habitat
area
location
significantly
different
scenarios,
complex
dynamics
expansion
contraction.
centroid
also
migrate,
indicating
response
changing
climatic
conditions.
findings
underscore
importance
optimization
enhancing
provide
valuable
insights
development
conservation
strategies
management
plans
address
challenges
posed
by
change.
Language: Английский
Distributional Responses of Five Betula (Betulaceae) Species to Future Climate Change in China
Zhilong Huang,
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Chenlong Fu,
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Chenyang Li
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et al.
Forests,
Journal Year:
2025,
Volume and Issue:
16(3), P. 400 - 400
Published: Feb. 24, 2025
Global
climate
change
has
the
potential
to
modify
habitats
of
plant
species,
thereby
exerting
a
direct
impact
on
biodiversity.
Betula
belonging
Betulaceae
family
and
commonly
known
as
birch
trees,
are
widely
distributed
in
China.
They
possess
crucial
ecological
economic
value.
However,
few
studies
have
examined
potentially
suitable
distribution
species
China
under
influence
change.
Therefore,
it
is
great
significance
explore
biodiversity
patterns
response
future
In
this
study,
we
selected
five
representative
collected
their
records
from
Based
19
variables,
main
environmental
factors
for
each
were
identified
optimal
parameter
combinations
determined.
The
MaxEnt
model
was
employed
construct
models
these
both
currently
future.
results
indicated
that
AUC
TSS
values
greater
than
0.903,
suggesting
high
level
accuracy.
most
important
variable
impacting
temperature
seasonality
standard
deviation.
Among
utilis
possesses
largest
total
area,
covering
313.42
×
104
km2.
Additionally,
warming,
studied
will
shift
toward
higher
latitudes
altitudes.
Species
southwestern
region
may
migrate
where
effects
mitigated,
whereas
low-latitude
southern
regions
face
substantial
threat
due
northern
areas,
greenhouse
gas
emission
scenarios,
experiencing
expansion
much
smaller
compared
area
contraction
predicted.
Our
findings
reveal
responses
provide
valuable
insights
guiding
conservation
utilization
forest
resources.
Language: Английский
Plant traits regulated metal(loid)s in dominant herbs in an antimony mining area of the karst zone, China
Zhongyu Du,
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Shufeng Wang,
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Wenli Xing
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et al.
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(8)
Published: Aug. 1, 2024
Abstract
Understanding
how
plant
functional
traits
respond
to
mining
activities
and
impact
metal(loid)s
accumulation
in
dominant
species
is
crucial
for
exploring
the
driving
mechanisms
behind
community
succession
predicting
ecological
restoration
potential
of
these
plants.
In
this
study,
we
investigated
four
herbaceous
(
Artemisia
argyi
,
Miscanthus
sinensis
Ficus
tikoua
Ageratina
adenophora
)
growing
on
antimony
(Sb)
sites
(MS)
with
high
Sb
arsenic
(As)
levels,
as
well
non‐mining
(NMS).
The
aim
was
analyze
variations
their
contribution
As
concentrations
Our
results
indicate
that
enhanced
soil
nitrogen
(N)
limitation
phosphorus
(P)
enrichment,
while
significantly
reducing
height
three
species,
except
F.
.
absorbed
more
calcium
(Ca)
ensure
higher
tolerance
which
related
activation
Ca
signaling
pathways
defense
mechanisms.
Furthermore,
were
dependent
metal(loid)
levels
element
stoichiometry.
Overall,
findings
highlight
regulatory
role
concentrations,
warranting
widespread
attention
further
study
future.
Language: Английский