Distribution Pattern of Suitable Areas and Corridor Identification of Endangered Ephedra Species in China
Plants,
Journal Year:
2024,
Volume and Issue:
13(6), P. 890 - 890
Published: March 20, 2024
The
suitable
habitat
of
endangered
Ephedra
species
has
been
severely
threatened
and
affected
by
climate
change
anthropogenic
activities;
however,
their
migration
trends
restoration
strategies
are
still
relatively
understudied.
In
this
study,
we
utilized
the
MaxEnt
model
to
simulate
habitats
five
in
China
under
current
future
scenarios.
Additionally,
identified
significant
ecological
corridors
incorporating
minimum
cumulative
resistance
(MCR)
model.
Under
scenario,
area
equisetina
Bunge,
intermedia
Schrenk
ex
Mey,
sinica
Stapf,
monosperma
Gmel
Mey
comprised
16%
China,
while
rhytidosperma
Pachom
only
0.05%.
distribution
patterns
these
were
primarily
influenced
altitude,
salinity,
temperature,
precipitation.
scenarios,
areas
E.
equisetina,
intermedia,
projected
expand,
that
is
expected
contract.
Notably,
will
lose
its
future.
Our
showed
first-level
encompassed
a
wider
geographical
expanse,
sinica,
monosperma,
exhibited
shorter
length
covered
fewer
areas.
Overall,
our
study
provides
novel
insights
into
identifying
priority
protected
protection
targeting
species.
Language: Английский
Distribution Patterns of Platycodon grandiflorus From the Last Interglacial Period to the Future by Ecological Niche Modeling
C. Li,
No information about this author
Xin‐Tong Xie,
No information about this author
Tuo Shi
No information about this author
et al.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: March 30, 2025
ABSTRACT
Global
climate
change
may
represent
a
significant
threat
to
the
distribution
and
quality
of
medicinal
plants,
altering
cultivation
areas
compromising
medical
materials.
Platycodon
grandiflorus
,
traditional
Chinese
herb,
has
millennia‐long
culinary
use
history
in
East
Asia.
Given
its
escalating
demand,
accurately
evaluating
changes
under
different
scenarios
predicting
potential
are
imperative
for
ensuring
conservation
sustainable
utilization.
By
integrating
MaxEnt
with
ArcGIS,
this
study
advances
previous
approaches
by
incorporating
historical,
present,
future
data
model
dynamics
P.
across
China.
The
results
indicated:
(1)
species'
strongly
correlates
environmental
variables,
particularly
bio13,
prec07,
prec09,
tmin07,
whose
cumulative
value
percent
contribution
was
78.5%;
(2)
centroids
geographic
during
LIG,
LGM,
MH
periods
were
situated
further
westward
compared
present
distribution,
substantial
contraction
observed
highly
suitable
habitats
throughout
these
historical
periods;
(3)
Under
climatic
conditions,
overall
habitat
encompasses
4,185,964
km
2
constituting
one‐third
expanse,
predominantly
concentrated
central,
southern,
northeastern
China;
(4)
Future
predict
that
total
will
expand
varying
degrees
(7%
increase
on
average),
albeit
reductions
(3%
decrease
average);
(5)
is
likely
move
toward
higher
latitudes
due
changes.
Our
findings
fill
critical
knowledge
gap
quantifying
impact
.
These
offer
crucial
insights
developing
effective
strategies,
promoting
utilization,
establishing
standardized
protocols
resources.
Language: Английский
Impacts of Climate Change and Human Activity on the Habitat Distribution of Metasequoia glyptostroboides
Ming Li,
No information about this author
Yu Sun,
No information about this author
Yongsheng Yang
No information about this author
et al.
Ecology and Evolution,
Journal Year:
2025,
Volume and Issue:
15(4)
Published: April 1, 2025
ABSTRACT
Extensive
evidence
supports
that
global
climate
change
influences
shifts
in
species
habitats
due
to
alterations
hydrothermal
conditions;
however,
neglecting
dispersal
capacities
and
limits
significantly
heightens
uncertainties
regarding
spatial
distribution
patterns
among
different
organisms.
In
this
study,
we
compared
the
of
Metasequoia
glyptostroboides
Hu
&
W.C.
Cheng
(
M.
)
current
Anthropocene
context
a
climate‐only
context,
providing
new
insights
into
effects
change,
potential,
barriers
on
habitat
changes
for
.
By
utilizing
optimized
MaxEnt
MigClim
models,
predicted
Mid‐Holocene
(MH)
conditions
potential
colonizable
under
three
emission
scenarios
(SSP126,
SSP245,
SSP585)
both
medium
long
term.
We
also
assessed
variation
differences
future
warm‐wet
context.
The
results
revealed
(1)
Precipitation
driest
month
(BIO14),
Mean
diurnal
range
(Bio2)
human
footprint
(HFP)
are
primary
factors
influencing
expansion
or
contraction
Human
footprint,
farmland,
roads,
construction
land
main
contributors
loss
fragmentation.
(2)
Habitats
expected
experience
significant
future.
There
is
recovery
South
China
SSP126
scenario,
but
activities
may
hinder
recovery.
Moderate
intervention
necessary
regions,
such
as
Hubei,
Hunan,
Anhui,
Sichuan
basins.
(3)
Due
influence,
high‐suitability
areas
projected
migrate
northeastward.
Under
trend
reverse
migration
be
observed
This
study
minimizes
uncertainty
predicting
while
theoretical
support
conservation
Language: Английский
Modeling the Impacts of Climate Change on Potential Distribution of Betula luminifera H. Winkler in China Using MaxEnt
Qiong Yang,
No information about this author
Yangzhou Xiang,
No information about this author
Suhang Li
No information about this author
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
The influence of climate change on Primula Sect. Crystallophlomis in southwest China
Ao Li,
No information about this author
Hang Zhou,
No information about this author
Xue‐Qun Luo
No information about this author
et al.
BMC Plant Biology,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: April 5, 2025
Language: Английский
Forest Orchids under Future Climate Scenarios: Habitat Suitability Modelling to Inform Conservation Strategies
Antonio Pica,
No information about this author
Daniele Vela,
No information about this author
Sara Magrini
No information about this author
et al.
Plants,
Journal Year:
2024,
Volume and Issue:
13(13), P. 1810 - 1810
Published: June 30, 2024
Orchidaceae
is
one
of
the
largest
and
most
diverse
families
flowering
plants
in
world
but
also
threatened.
Climate
change
a
global
driver
plant
distribution
may
be
cause
their
disappearance
some
regions.
Forest
orchids
are
associated
with
specific
biotic
abiotic
environmental
factors,
that
influence
local
presence/absence.
Changes
these
conditions
can
lead
to
significant
differences
species
distribution.
We
studied
three
forest
belonging
different
genera
(Cephalanthera,
Epipactis
Limodorum)
for
potential
current
future
protected
area
(PA)
Northern
Apennines.
A
Habitat
Suitability
Model
was
constructed
each
based
on
presence-only
data
Maximum
Entropy
algorithm
(MaxEnt)
used
modelling.
Climatic,
edaphic,
topographic,
anthropogenic
land
cover
variables
were
as
predictors
processed
model.
The
aim
identify
factors
areas
likely
contain
habitats
suitable
providing
refuge
ensuring
survival
under
scenarios.
This
will
allow
PA
authorities
decide
whether
invest
more
resources
conserving
refuges
threatened
species.
Language: Английский
Prediction of historical, current and future potential distribution of Rhus chinensis (Anacardiaceae) based on the optimized MaxEnt model in China
Yujie Xu,
No information about this author
Xu Su,
No information about this author
Zhumei Ren
No information about this author
et al.
Plant Ecology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 30, 2024
Language: Английский
The Potential Habitat Response of Cyclobalanopsis gilva to Climate Change
Bao Liu,
No information about this author
Yinglin Li,
No information about this author
Jintao Zhao
No information about this author
et al.
Plants,
Journal Year:
2024,
Volume and Issue:
13(16), P. 2336 - 2336
Published: Aug. 22, 2024
Cyclobalanopsis
gilva,
a
valuable
timber
species
in
China,
holds
significant
importance
for
understanding
the
constraints
imposed
by
climate
change
on
dynamic
geographic
distribution
of
tree
species.
This
study
utilized
MaxEnt
maximum
entropy
model
to
reconstruct
migratory
dynamics
C.
gilva
geographical
since
Last
Glacial
Maximum.
The
objective
was
comprehend
restrictive
mechanisms
environmental
factors
its
potential
distribution,
aiming
provide
insights
mid-to-long-term
afforestation
planning
gilva.
optimized
exhibited
significantly
high
predictive
accuracy,
with
an
average
AUC
value
0.949
±
0.004
modern
suitable
habitat
total
area
contemporary
times
143.05
×
104
km2,
highly
3.14
km2.
primarily
located
southeastern
regions
while
concentrated
eastern
Fujian
and
central-eastern
Taiwan.
Bioclimatic
variables
such
as
mean
diurnal
range
(Bio2),
min
temperature
coldest
month
(Bio6),
precipitation
driest
quarter
(Bio17),
(Bio14)
predominantly
influenced
pattern
playing
leading
role.
With
global
warming,
there
is
risk
fragmentation
or
even
loss
2050
2090.
Therefore,
findings
this
can
contribute
initiating
conservation
campaign
Language: Английский
Predicting the potential distribution of Astragali Radix in China under climate change adopting the MaxEnt model
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 6, 2024
Astragali
Radix
is
the
dried
root
of
Astragalus
mongoliae
or
membranaceus,
a
leguminous
plant.
Since
ancient
times,
has
been
widely
used
in
Chinese
traditional
medicine.
As
people
become
more
health-conscious,
market
demand
for
grows
and
its
popularity
increasing
international
market.
an
important
medicinal
plant,
growth
strongly
influenced
by
environmental
conditions.
In
order
to
meet
high
quality
herbs,
it
necessary
search
find
areas
suitable
Radix.
Language: Английский